[10/23 23:41:33] detectron2 INFO: Rank of current process: 0. World size: 1 [10/23 23:41:34] detectron2 INFO: Environment info: ---------------------- ------------------------------------------------------------------------------- sys.platform linux Python 3.7.12 | packaged by conda-forge | (default, Oct 26 2021, 06:08:21) [GCC 9.4.0] numpy 1.19.5 detectron2 0.6 @/home/superorange5/Research/ProbabilisticTeacher/detectron2 detectron2._C not built correctly: No module named 'detectron2._C' Compiler ($CXX) c++ (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0 CUDA compiler Build cuda_11.4.r11.4/compiler.30188945_0 DETECTRON2_ENV_MODULE PyTorch 1.12.1+cu102 @/home/superorange5/.local/lib/python3.7/site-packages/torch PyTorch debug build False GPU available Yes GPU 0 Tesla V100-SXM2-32GB (arch=7.0) Driver version 450.119.04 CUDA_HOME /usr/local/cuda TORCH_CUDA_ARCH_LIST 5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX Pillow 9.2.0 torchvision 0.13.1+cu102 @/home/superorange5/.local/lib/python3.7/site-packages/torchvision torchvision arch flags 3.5, 5.0, 6.0, 7.0, 7.5 fvcore 0.1.5.post20220512 iopath 0.1.9 cv2 4.1.2 ---------------------- ------------------------------------------------------------------------------- PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 10.2 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70 - CuDNN 7.6.5 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=10.2, CUDNN_VERSION=7.6.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.12.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, [10/23 23:41:34] detectron2 INFO: Command line arguments: Namespace(config_file='configs/pt/k2bdd.yaml', dist_url='tcp://127.0.0.1:64330', eval_only=False, machine_rank=0, num_gpus=1, num_machines=1, opts=['UNSUPNET.EFL', 'True', 'UNSUPNET.EFL_LAMBDA', '[0.5,0.5]', 'UNSUPNET.TAU', '[0.5,0.5]'], resume=False) [10/23 23:41:34] detectron2 INFO: Contents of args.config_file=configs/pt/k2bdd.yaml: _BASE_: "../Guassian-RCNN-VGG.yaml" MODEL: ROI_HEADS: NUM_CLASSES: 8 SOLVER: LR_SCHEDULER_NAME: "WarmupMultiStepLR" STEPS: (30000,) MAX_ITER: 30000 IMG_PER_BATCH_LABEL: 16 IMG_PER_BATCH_UNLABEL: 16 BASE_LR: 0.016 WARMUP_ITERS: 400 CHECKPOINT_PERIOD: 4000 REFERENCE_BATCH_SIZE: 16 DATALOADER: NUM_WORKERS: 2 DATASETS: CROSS_DATASET: True TRAIN_LABEL: ("VOC2007_kitti1",) TRAIN_UNLABEL: ("VOC2007_bddtrain",) TEST: ("VOC2007_bddval",) UNSUPNET: Trainer: "pt" TEACHER_UPDATE_ITER: 1 BURN_UP_STEP: 4000 EMA_KEEP_RATE: 0.9996 SOURCE_LOSS_WEIGHT: 1.0 TARGET_UNSUP_LOSS_WEIGHT: 1.0 GUASSIAN: True EFL: True EFL_LAMBDA: [0.5,0.5] TAU: [0.25,0.25] TEST: EVAL_PERIOD: 400 EVALUATOR: "VOCeval" INPUT: MIN_SIZE_TRAIN: (600, ) MIN_SIZE_TEST: 600 RANDOM_FLIP: "horizontal" OUTPUT_DIR: "./output/k2bdd/" [10/23 23:41:34] detectron2 INFO: Running with full config: CUDNN_BENCHMARK: false DATALOADER: ASPECT_RATIO_GROUPING: true FILTER_EMPTY_ANNOTATIONS: true NUM_WORKERS: 2 REPEAT_THRESHOLD: 0.0 SAMPLER_TRAIN: TrainingSampler DATASETS: CROSS_DATASET: true PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000 PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000 PROPOSAL_FILES_TEST: [] PROPOSAL_FILES_TRAIN: [] TEST: - VOC2007_bddval TRAIN: - coco_2017_train TRAIN_LABEL: - VOC2007_kitti1 TRAIN_UNLABEL: - VOC2007_bddtrain GLOBAL: HACK: 1.0 INPUT: CROP: ENABLED: false SIZE: - 0.9 - 0.9 TYPE: relative_range FORMAT: BGR MASK_FORMAT: polygon MAX_SIZE_TEST: 1333 MAX_SIZE_TRAIN: 1333 MIN_SIZE_TEST: 600 MIN_SIZE_TRAIN: - 600 MIN_SIZE_TRAIN_SAMPLING: choice RANDOM_FLIP: horizontal MODEL: ANCHOR_GENERATOR: ANCHOR: - - - 181.0193 - 90.5097 - - 128.0 - 128.0 - - 90.5097 - 181.0193 - - 362.0387 - 181.0193 - - 256.0 - 256.0 - - 181.0193 - 362.0387 - - 724.0773 - 362.0387 - - 512.0 - 512.0 - - 362.0387 - 724.0773 ANGLES: - - -90 - 0 - 90 ASPECT_RATIOS: - - 0.5 - 1.0 - 2.0 NAME: DefaultAnchorGenerator OFFSET: 0.0 SIZES: - - 128 - 256 - 512 BACKBONE: FREEZE_AT: 2 NAME: build_vgg_backbone DEVICE: cuda FPN: FUSE_TYPE: sum IN_FEATURES: [] NORM: '' OUT_CHANNELS: 256 KEYPOINT_ON: false LOAD_PROPOSALS: false MASK_ON: false META_ARCHITECTURE: GuassianGeneralizedRCNN PANOPTIC_FPN: COMBINE: ENABLED: true INSTANCES_CONFIDENCE_THRESH: 0.5 OVERLAP_THRESH: 0.5 STUFF_AREA_LIMIT: 4096 INSTANCE_LOSS_WEIGHT: 1.0 PIXEL_MEAN: - 103.53 - 116.28 - 123.675 PIXEL_STD: - 1.0 - 1.0 - 1.0 PROPOSAL_GENERATOR: MIN_SIZE: 0 NAME: GuassianRPN RESNETS: DEFORM_MODULATED: false DEFORM_NUM_GROUPS: 1 DEFORM_ON_PER_STAGE: - false - false - false - false DEPTH: 50 NORM: FrozenBN NUM_GROUPS: 1 OUT_FEATURES: - res4 RES2_OUT_CHANNELS: 256 RES5_DILATION: 1 STEM_OUT_CHANNELS: 64 STRIDE_IN_1X1: true WIDTH_PER_GROUP: 64 RETINANET: BBOX_REG_LOSS_TYPE: smooth_l1 BBOX_REG_WEIGHTS: &id001 - 1.0 - 1.0 - 1.0 - 1.0 FOCAL_LOSS_ALPHA: 0.25 FOCAL_LOSS_GAMMA: 2.0 IN_FEATURES: - p3 - p4 - p5 - p6 - p7 IOU_LABELS: - 0 - -1 - 1 IOU_THRESHOLDS: - 0.4 - 0.5 NMS_THRESH_TEST: 0.5 NORM: '' NUM_CLASSES: 80 NUM_CONVS: 4 PRIOR_PROB: 0.01 SCORE_THRESH_TEST: 0.05 SMOOTH_L1_LOSS_BETA: 0.1 TOPK_CANDIDATES_TEST: 1000 ROI_BOX_CASCADE_HEAD: BBOX_REG_WEIGHTS: - - 10.0 - 10.0 - 5.0 - 5.0 - - 20.0 - 20.0 - 10.0 - 10.0 - - 30.0 - 30.0 - 15.0 - 15.0 IOUS: - 0.5 - 0.6 - 0.7 ROI_BOX_HEAD: BBOX_REG_LOSS_TYPE: smooth_l1 BBOX_REG_LOSS_WEIGHT: 1.0 BBOX_REG_WEIGHTS: - 10.0 - 10.0 - 5.0 - 5.0 CLS_AGNOSTIC_BBOX_REG: false CONV_DIM: 256 FC_DIM: 1024 FED_LOSS_FREQ_WEIGHT_POWER: 0.5 FED_LOSS_NUM_CLASSES: 50 NAME: FastRCNNConvFCHead NORM: '' NUM_CONV: 0 NUM_FC: 2 POOLER_RESOLUTION: 7 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 SMOOTH_L1_BETA: 0.0 TRAIN_ON_PRED_BOXES: false USE_FED_LOSS: false USE_SIGMOID_CE: false ROI_HEADS: BATCH_SIZE_PER_IMAGE: 512 IN_FEATURES: - vgg_block5 IOU_LABELS: - 0 - 1 IOU_THRESHOLDS: - 0.5 NAME: GuassianROIHead NMS_THRESH_TEST: 0.5 NUM_CLASSES: 8 POSITIVE_FRACTION: 0.25 PROPOSAL_APPEND_GT: true SCORE_THRESH_TEST: 0.05 ROI_KEYPOINT_HEAD: CONV_DIMS: - 512 - 512 - 512 - 512 - 512 - 512 - 512 - 512 LOSS_WEIGHT: 1.0 MIN_KEYPOINTS_PER_IMAGE: 1 NAME: KRCNNConvDeconvUpsampleHead NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true NUM_KEYPOINTS: 17 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 ROI_MASK_HEAD: CLS_AGNOSTIC_MASK: false CONV_DIM: 256 NAME: MaskRCNNConvUpsampleHead NORM: '' NUM_CONV: 0 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 RPN: BATCH_SIZE_PER_IMAGE: 256 BBOX_REG_LOSS_TYPE: smooth_l1 BBOX_REG_LOSS_WEIGHT: 1.0 BBOX_REG_WEIGHTS: *id001 BOUNDARY_THRESH: -1 CONV_DIMS: - -1 HEAD_NAME: GuassianRPNHead IN_FEATURES: - vgg_block5 IOU_LABELS: - 0 - -1 - 1 IOU_THRESHOLDS: - 0.3 - 0.7 LOSS_WEIGHT: 1.0 NMS_THRESH: 0.7 POSITIVE_FRACTION: 0.25 POST_NMS_TOPK_TEST: 1000 POST_NMS_TOPK_TRAIN: 2000 PRE_NMS_TOPK_TEST: 6000 PRE_NMS_TOPK_TRAIN: 12000 SMOOTH_L1_BETA: 0.0 SEM_SEG_HEAD: COMMON_STRIDE: 4 CONVS_DIM: 128 IGNORE_VALUE: 255 IN_FEATURES: - p2 - p3 - p4 - p5 LOSS_WEIGHT: 1.0 NAME: SemSegFPNHead NORM: GN NUM_CLASSES: 54 VGG: CONV5_OUT_CHANNELS: 512 DEPTH: 16 NORM: None OUT_FEATURES: - vgg_block5 PRETRAIN: ./vgg16_caffe.pth WEIGHTS: '' OUTPUT_DIR: ./output/k2bdd/ SEED: -1 SOLVER: AMP: ENABLED: false BASE_LR: 0.016 BASE_LR_END: 0.0 BIAS_LR_FACTOR: 1.0 CHECKPOINT_PERIOD: 4000 CLIP_GRADIENTS: CLIP_TYPE: value CLIP_VALUE: 1.0 ENABLED: false NORM_TYPE: 2.0 FACTOR_LIST: - 1 GAMMA: 0.1 IMG_PER_BATCH_LABEL: 16 IMG_PER_BATCH_UNLABEL: 16 IMS_PER_BATCH: 16 LR_SCHEDULER_NAME: WarmupMultiStepLR MAX_ITER: 30000 MOMENTUM: 0.9 NESTEROV: false NUM_DECAYS: 3 REFERENCE_BATCH_SIZE: 16 REFERENCE_WORLD_SIZE: 1 RESCALE_INTERVAL: false STEPS: - 30000 WARMUP_FACTOR: 0.001 WARMUP_ITERS: 400 WARMUP_METHOD: linear WEIGHT_DECAY: 0.0001 WEIGHT_DECAY_BIAS: null WEIGHT_DECAY_NORM: 0.0 TEST: AUG: ENABLED: false FLIP: true MAX_SIZE: 4000 MIN_SIZES: - 400 - 500 - 600 - 700 - 800 - 900 - 1000 - 1100 - 1200 DETECTIONS_PER_IMAGE: 100 EVALUATOR: VOCeval EVAL_PERIOD: 400 EXPECTED_RESULTS: [] KEYPOINT_OKS_SIGMAS: [] PRECISE_BN: ENABLED: false NUM_ITER: 200 UNSUPNET: BURN_UP_STEP: 4000 EFL: true EFL_LAMBDA: - 0.5 - 0.5 EMA_KEEP_RATE: 0.9996 GUASSIAN: true LOSS_WEIGHT_TYPE: standard MODEL_TYPE: GUASSIAN PSEUDO_BBOX_SAMPLE: all SOURCE_LOSS_WEIGHT: 1.0 TARGET_UNSUP_LOSS_WEIGHT: 1.0 TAU: - 0.5 - 0.5 TEACHER_UPDATE_ITER: 1 Trainer: pt VERSION: 2 VIS_PERIOD: 0 [10/23 23:41:34] detectron2 INFO: Full config saved to ./output/k2bdd/config.yaml [10/23 23:41:34] d2.utils.env INFO: Using a generated random seed 35002458 [10/23 23:41:37] d2.data.build INFO: Removed 550 images with no usable annotations. 5434 images left. [10/23 23:41:38] d2.data.build INFO: Distribution of instances among all 1 categories: | category | #instances | |:----------:|:-------------| | car | 25310 | | | | [10/23 23:43:16] detectron2 INFO: Rank of current process: 0. World size: 1 [10/23 23:43:17] detectron2 INFO: Environment info: ---------------------- ------------------------------------------------------------------------------- sys.platform linux Python 3.7.12 | packaged by conda-forge | (default, Oct 26 2021, 06:08:21) [GCC 9.4.0] numpy 1.19.5 detectron2 0.6 @/home/superorange5/Research/ProbabilisticTeacher/detectron2 detectron2._C not built correctly: No module named 'detectron2._C' Compiler ($CXX) c++ (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0 CUDA compiler Build cuda_11.4.r11.4/compiler.30188945_0 DETECTRON2_ENV_MODULE PyTorch 1.12.1+cu102 @/home/superorange5/.local/lib/python3.7/site-packages/torch PyTorch debug build False GPU available Yes GPU 0 Tesla V100-SXM2-32GB (arch=7.0) Driver version 450.119.04 CUDA_HOME /usr/local/cuda TORCH_CUDA_ARCH_LIST 5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX Pillow 9.2.0 torchvision 0.13.1+cu102 @/home/superorange5/.local/lib/python3.7/site-packages/torchvision torchvision arch flags 3.5, 5.0, 6.0, 7.0, 7.5 fvcore 0.1.5.post20220512 iopath 0.1.9 cv2 4.1.2 ---------------------- ------------------------------------------------------------------------------- PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 10.2 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70 - CuDNN 7.6.5 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=10.2, CUDNN_VERSION=7.6.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.12.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, [10/23 23:43:17] detectron2 INFO: Command line arguments: Namespace(config_file='configs/pt/k2bdd.yaml', dist_url='tcp://127.0.0.1:64330', eval_only=False, machine_rank=0, num_gpus=1, num_machines=1, opts=['UNSUPNET.EFL', 'True', 'UNSUPNET.EFL_LAMBDA', '[0.5,0.5]', 'UNSUPNET.TAU', '[0.5,0.5]'], resume=False) [10/23 23:43:17] detectron2 INFO: Contents of args.config_file=configs/pt/k2bdd.yaml: _BASE_: "../Guassian-RCNN-VGG.yaml" MODEL: ROI_HEADS: NUM_CLASSES: 8 SOLVER: LR_SCHEDULER_NAME: "WarmupMultiStepLR" STEPS: (30000,) MAX_ITER: 30000 IMG_PER_BATCH_LABEL: 16 IMG_PER_BATCH_UNLABEL: 16 BASE_LR: 0.016 WARMUP_ITERS: 400 CHECKPOINT_PERIOD: 4000 REFERENCE_BATCH_SIZE: 16 DATALOADER: NUM_WORKERS: 2 DATASETS: CROSS_DATASET: True TRAIN_LABEL: ("VOC2007_kitti1",) TRAIN_UNLABEL: ("VOC2007_bddtrain",) TEST: ("VOC2007_bddval",) UNSUPNET: Trainer: "pt" TEACHER_UPDATE_ITER: 1 BURN_UP_STEP: 4000 EMA_KEEP_RATE: 0.9996 SOURCE_LOSS_WEIGHT: 1.0 TARGET_UNSUP_LOSS_WEIGHT: 1.0 GUASSIAN: True EFL: True EFL_LAMBDA: [0.5,0.5] TAU: [0.25,0.25] TEST: EVAL_PERIOD: 400 EVALUATOR: "VOCeval" INPUT: MIN_SIZE_TRAIN: (600, ) MIN_SIZE_TEST: 600 RANDOM_FLIP: "horizontal" OUTPUT_DIR: "./output/k2bdd/" [10/23 23:43:17] detectron2 INFO: Running with full config: CUDNN_BENCHMARK: false DATALOADER: ASPECT_RATIO_GROUPING: true FILTER_EMPTY_ANNOTATIONS: true NUM_WORKERS: 2 REPEAT_THRESHOLD: 0.0 SAMPLER_TRAIN: TrainingSampler DATASETS: CROSS_DATASET: true PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000 PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000 PROPOSAL_FILES_TEST: [] PROPOSAL_FILES_TRAIN: [] TEST: - VOC2007_bddval TRAIN: - coco_2017_train TRAIN_LABEL: - VOC2007_kitti1 TRAIN_UNLABEL: - VOC2007_bddtrain GLOBAL: HACK: 1.0 INPUT: CROP: ENABLED: false SIZE: - 0.9 - 0.9 TYPE: relative_range FORMAT: BGR MASK_FORMAT: polygon MAX_SIZE_TEST: 1333 MAX_SIZE_TRAIN: 1333 MIN_SIZE_TEST: 600 MIN_SIZE_TRAIN: - 600 MIN_SIZE_TRAIN_SAMPLING: choice RANDOM_FLIP: horizontal MODEL: ANCHOR_GENERATOR: ANCHOR: - - - 181.0193 - 90.5097 - - 128.0 - 128.0 - - 90.5097 - 181.0193 - - 362.0387 - 181.0193 - - 256.0 - 256.0 - - 181.0193 - 362.0387 - - 724.0773 - 362.0387 - - 512.0 - 512.0 - - 362.0387 - 724.0773 ANGLES: - - -90 - 0 - 90 ASPECT_RATIOS: - - 0.5 - 1.0 - 2.0 NAME: DefaultAnchorGenerator OFFSET: 0.0 SIZES: - - 128 - 256 - 512 BACKBONE: FREEZE_AT: 2 NAME: build_vgg_backbone DEVICE: cuda FPN: FUSE_TYPE: sum IN_FEATURES: [] NORM: '' OUT_CHANNELS: 256 KEYPOINT_ON: false LOAD_PROPOSALS: false MASK_ON: false META_ARCHITECTURE: GuassianGeneralizedRCNN PANOPTIC_FPN: COMBINE: ENABLED: true INSTANCES_CONFIDENCE_THRESH: 0.5 OVERLAP_THRESH: 0.5 STUFF_AREA_LIMIT: 4096 INSTANCE_LOSS_WEIGHT: 1.0 PIXEL_MEAN: - 103.53 - 116.28 - 123.675 PIXEL_STD: - 1.0 - 1.0 - 1.0 PROPOSAL_GENERATOR: MIN_SIZE: 0 NAME: GuassianRPN RESNETS: DEFORM_MODULATED: false DEFORM_NUM_GROUPS: 1 DEFORM_ON_PER_STAGE: - false - false - false - false DEPTH: 50 NORM: FrozenBN NUM_GROUPS: 1 OUT_FEATURES: - res4 RES2_OUT_CHANNELS: 256 RES5_DILATION: 1 STEM_OUT_CHANNELS: 64 STRIDE_IN_1X1: true WIDTH_PER_GROUP: 64 RETINANET: BBOX_REG_LOSS_TYPE: smooth_l1 BBOX_REG_WEIGHTS: &id001 - 1.0 - 1.0 - 1.0 - 1.0 FOCAL_LOSS_ALPHA: 0.25 FOCAL_LOSS_GAMMA: 2.0 IN_FEATURES: - p3 - p4 - p5 - p6 - p7 IOU_LABELS: - 0 - -1 - 1 IOU_THRESHOLDS: - 0.4 - 0.5 NMS_THRESH_TEST: 0.5 NORM: '' NUM_CLASSES: 80 NUM_CONVS: 4 PRIOR_PROB: 0.01 SCORE_THRESH_TEST: 0.05 SMOOTH_L1_LOSS_BETA: 0.1 TOPK_CANDIDATES_TEST: 1000 ROI_BOX_CASCADE_HEAD: BBOX_REG_WEIGHTS: - - 10.0 - 10.0 - 5.0 - 5.0 - - 20.0 - 20.0 - 10.0 - 10.0 - - 30.0 - 30.0 - 15.0 - 15.0 IOUS: - 0.5 - 0.6 - 0.7 ROI_BOX_HEAD: BBOX_REG_LOSS_TYPE: smooth_l1 BBOX_REG_LOSS_WEIGHT: 1.0 BBOX_REG_WEIGHTS: - 10.0 - 10.0 - 5.0 - 5.0 CLS_AGNOSTIC_BBOX_REG: false CONV_DIM: 256 FC_DIM: 1024 FED_LOSS_FREQ_WEIGHT_POWER: 0.5 FED_LOSS_NUM_CLASSES: 50 NAME: FastRCNNConvFCHead NORM: '' NUM_CONV: 0 NUM_FC: 2 POOLER_RESOLUTION: 7 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 SMOOTH_L1_BETA: 0.0 TRAIN_ON_PRED_BOXES: false USE_FED_LOSS: false USE_SIGMOID_CE: false ROI_HEADS: BATCH_SIZE_PER_IMAGE: 512 IN_FEATURES: - vgg_block5 IOU_LABELS: - 0 - 1 IOU_THRESHOLDS: - 0.5 NAME: GuassianROIHead NMS_THRESH_TEST: 0.5 NUM_CLASSES: 8 POSITIVE_FRACTION: 0.25 PROPOSAL_APPEND_GT: true SCORE_THRESH_TEST: 0.05 ROI_KEYPOINT_HEAD: CONV_DIMS: - 512 - 512 - 512 - 512 - 512 - 512 - 512 - 512 LOSS_WEIGHT: 1.0 MIN_KEYPOINTS_PER_IMAGE: 1 NAME: KRCNNConvDeconvUpsampleHead NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true NUM_KEYPOINTS: 17 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 ROI_MASK_HEAD: CLS_AGNOSTIC_MASK: false CONV_DIM: 256 NAME: MaskRCNNConvUpsampleHead NORM: '' NUM_CONV: 0 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 RPN: BATCH_SIZE_PER_IMAGE: 256 BBOX_REG_LOSS_TYPE: smooth_l1 BBOX_REG_LOSS_WEIGHT: 1.0 BBOX_REG_WEIGHTS: *id001 BOUNDARY_THRESH: -1 CONV_DIMS: - -1 HEAD_NAME: GuassianRPNHead IN_FEATURES: - vgg_block5 IOU_LABELS: - 0 - -1 - 1 IOU_THRESHOLDS: - 0.3 - 0.7 LOSS_WEIGHT: 1.0 NMS_THRESH: 0.7 POSITIVE_FRACTION: 0.25 POST_NMS_TOPK_TEST: 1000 POST_NMS_TOPK_TRAIN: 2000 PRE_NMS_TOPK_TEST: 6000 PRE_NMS_TOPK_TRAIN: 12000 SMOOTH_L1_BETA: 0.0 SEM_SEG_HEAD: COMMON_STRIDE: 4 CONVS_DIM: 128 IGNORE_VALUE: 255 IN_FEATURES: - p2 - p3 - p4 - p5 LOSS_WEIGHT: 1.0 NAME: SemSegFPNHead NORM: GN NUM_CLASSES: 54 VGG: CONV5_OUT_CHANNELS: 512 DEPTH: 16 NORM: None OUT_FEATURES: - vgg_block5 PRETRAIN: ./vgg16_caffe.pth WEIGHTS: '' OUTPUT_DIR: ./output/k2bdd/ SEED: -1 SOLVER: AMP: ENABLED: false BASE_LR: 0.016 BASE_LR_END: 0.0 BIAS_LR_FACTOR: 1.0 CHECKPOINT_PERIOD: 4000 CLIP_GRADIENTS: CLIP_TYPE: value CLIP_VALUE: 1.0 ENABLED: false NORM_TYPE: 2.0 FACTOR_LIST: - 1 GAMMA: 0.1 IMG_PER_BATCH_LABEL: 16 IMG_PER_BATCH_UNLABEL: 16 IMS_PER_BATCH: 16 LR_SCHEDULER_NAME: WarmupMultiStepLR MAX_ITER: 30000 MOMENTUM: 0.9 NESTEROV: false NUM_DECAYS: 3 REFERENCE_BATCH_SIZE: 16 REFERENCE_WORLD_SIZE: 1 RESCALE_INTERVAL: false STEPS: - 30000 WARMUP_FACTOR: 0.001 WARMUP_ITERS: 400 WARMUP_METHOD: linear WEIGHT_DECAY: 0.0001 WEIGHT_DECAY_BIAS: null WEIGHT_DECAY_NORM: 0.0 TEST: AUG: ENABLED: false FLIP: true MAX_SIZE: 4000 MIN_SIZES: - 400 - 500 - 600 - 700 - 800 - 900 - 1000 - 1100 - 1200 DETECTIONS_PER_IMAGE: 100 EVALUATOR: VOCeval EVAL_PERIOD: 400 EXPECTED_RESULTS: [] KEYPOINT_OKS_SIGMAS: [] PRECISE_BN: ENABLED: false NUM_ITER: 200 UNSUPNET: BURN_UP_STEP: 4000 EFL: true EFL_LAMBDA: - 0.5 - 0.5 EMA_KEEP_RATE: 0.9996 GUASSIAN: true LOSS_WEIGHT_TYPE: standard MODEL_TYPE: GUASSIAN PSEUDO_BBOX_SAMPLE: all SOURCE_LOSS_WEIGHT: 1.0 TARGET_UNSUP_LOSS_WEIGHT: 1.0 TAU: - 0.5 - 0.5 TEACHER_UPDATE_ITER: 1 Trainer: pt VERSION: 2 VIS_PERIOD: 0 [10/23 23:43:17] detectron2 INFO: Full config saved to ./output/k2bdd/config.yaml [10/23 23:43:17] d2.utils.env INFO: Using a generated random seed 17491141 [10/23 23:43:18] d2.data.build INFO: Removed 550 images with no usable annotations. 5434 images left. [10/23 23:43:18] d2.data.build INFO: Distribution of instances among all 1 categories: | category | #instances | |:----------:|:-------------| | car | 25310 | | | | [10/23 23:44:30] detectron2 INFO: Rank of current process: 0. World size: 1 [10/23 23:44:31] detectron2 INFO: Environment info: ---------------------- ------------------------------------------------------------------------------- sys.platform linux Python 3.7.12 | packaged by conda-forge | (default, Oct 26 2021, 06:08:21) [GCC 9.4.0] numpy 1.19.5 detectron2 0.6 @/home/superorange5/Research/ProbabilisticTeacher/detectron2 detectron2._C not built correctly: No module named 'detectron2._C' Compiler ($CXX) c++ (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0 CUDA compiler Build cuda_11.4.r11.4/compiler.30188945_0 DETECTRON2_ENV_MODULE PyTorch 1.12.1+cu102 @/home/superorange5/.local/lib/python3.7/site-packages/torch PyTorch debug build False GPU available Yes GPU 0 Tesla V100-SXM2-32GB (arch=7.0) Driver version 450.119.04 CUDA_HOME /usr/local/cuda TORCH_CUDA_ARCH_LIST 5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX Pillow 9.2.0 torchvision 0.13.1+cu102 @/home/superorange5/.local/lib/python3.7/site-packages/torchvision torchvision arch flags 3.5, 5.0, 6.0, 7.0, 7.5 fvcore 0.1.5.post20220512 iopath 0.1.9 cv2 4.1.2 ---------------------- ------------------------------------------------------------------------------- PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 10.2 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70 - CuDNN 7.6.5 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=10.2, CUDNN_VERSION=7.6.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.12.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, [10/23 23:44:31] detectron2 INFO: Command line arguments: Namespace(config_file='configs/pt/k2bdd.yaml', dist_url='tcp://127.0.0.1:64330', eval_only=False, machine_rank=0, num_gpus=1, num_machines=1, opts=['UNSUPNET.EFL', 'True', 'UNSUPNET.EFL_LAMBDA', '[0.5,0.5]', 'UNSUPNET.TAU', '[0.5,0.5]'], resume=False) [10/23 23:44:31] detectron2 INFO: Contents of args.config_file=configs/pt/k2bdd.yaml: _BASE_: "../Guassian-RCNN-VGG.yaml" MODEL: ROI_HEADS: NUM_CLASSES: 8 SOLVER: LR_SCHEDULER_NAME: "WarmupMultiStepLR" STEPS: (30000,) MAX_ITER: 30000 IMG_PER_BATCH_LABEL: 16 IMG_PER_BATCH_UNLABEL: 16 BASE_LR: 0.016 WARMUP_ITERS: 400 CHECKPOINT_PERIOD: 4000 REFERENCE_BATCH_SIZE: 16 DATALOADER: NUM_WORKERS: 2 DATASETS: CROSS_DATASET: True TRAIN_LABEL: ("VOC2007_kitti8",) TRAIN_UNLABEL: ("VOC2007_bddtrain",) TEST: ("VOC2007_bddval",) UNSUPNET: Trainer: "pt" TEACHER_UPDATE_ITER: 1 BURN_UP_STEP: 4000 EMA_KEEP_RATE: 0.9996 SOURCE_LOSS_WEIGHT: 1.0 TARGET_UNSUP_LOSS_WEIGHT: 1.0 GUASSIAN: True EFL: True EFL_LAMBDA: [0.5,0.5] TAU: [0.25,0.25] TEST: EVAL_PERIOD: 400 EVALUATOR: "VOCeval" INPUT: MIN_SIZE_TRAIN: (600, ) MIN_SIZE_TEST: 600 RANDOM_FLIP: "horizontal" OUTPUT_DIR: "./output/k2bdd/" [10/23 23:44:31] detectron2 INFO: Running with full config: CUDNN_BENCHMARK: false DATALOADER: ASPECT_RATIO_GROUPING: true FILTER_EMPTY_ANNOTATIONS: true NUM_WORKERS: 2 REPEAT_THRESHOLD: 0.0 SAMPLER_TRAIN: TrainingSampler DATASETS: CROSS_DATASET: true PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000 PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000 PROPOSAL_FILES_TEST: [] PROPOSAL_FILES_TRAIN: [] TEST: - VOC2007_bddval TRAIN: - coco_2017_train TRAIN_LABEL: - VOC2007_kitti8 TRAIN_UNLABEL: - VOC2007_bddtrain GLOBAL: HACK: 1.0 INPUT: CROP: ENABLED: false SIZE: - 0.9 - 0.9 TYPE: relative_range FORMAT: BGR MASK_FORMAT: polygon MAX_SIZE_TEST: 1333 MAX_SIZE_TRAIN: 1333 MIN_SIZE_TEST: 600 MIN_SIZE_TRAIN: - 600 MIN_SIZE_TRAIN_SAMPLING: choice RANDOM_FLIP: horizontal MODEL: ANCHOR_GENERATOR: ANCHOR: - - - 181.0193 - 90.5097 - - 128.0 - 128.0 - - 90.5097 - 181.0193 - - 362.0387 - 181.0193 - - 256.0 - 256.0 - - 181.0193 - 362.0387 - - 724.0773 - 362.0387 - - 512.0 - 512.0 - - 362.0387 - 724.0773 ANGLES: - - -90 - 0 - 90 ASPECT_RATIOS: - - 0.5 - 1.0 - 2.0 NAME: DefaultAnchorGenerator OFFSET: 0.0 SIZES: - - 128 - 256 - 512 BACKBONE: FREEZE_AT: 2 NAME: build_vgg_backbone DEVICE: cuda FPN: FUSE_TYPE: sum IN_FEATURES: [] NORM: '' OUT_CHANNELS: 256 KEYPOINT_ON: false LOAD_PROPOSALS: false MASK_ON: false META_ARCHITECTURE: GuassianGeneralizedRCNN PANOPTIC_FPN: COMBINE: ENABLED: true INSTANCES_CONFIDENCE_THRESH: 0.5 OVERLAP_THRESH: 0.5 STUFF_AREA_LIMIT: 4096 INSTANCE_LOSS_WEIGHT: 1.0 PIXEL_MEAN: - 103.53 - 116.28 - 123.675 PIXEL_STD: - 1.0 - 1.0 - 1.0 PROPOSAL_GENERATOR: MIN_SIZE: 0 NAME: GuassianRPN RESNETS: DEFORM_MODULATED: false DEFORM_NUM_GROUPS: 1 DEFORM_ON_PER_STAGE: - false - false - false - false DEPTH: 50 NORM: FrozenBN NUM_GROUPS: 1 OUT_FEATURES: - res4 RES2_OUT_CHANNELS: 256 RES5_DILATION: 1 STEM_OUT_CHANNELS: 64 STRIDE_IN_1X1: true WIDTH_PER_GROUP: 64 RETINANET: BBOX_REG_LOSS_TYPE: smooth_l1 BBOX_REG_WEIGHTS: &id001 - 1.0 - 1.0 - 1.0 - 1.0 FOCAL_LOSS_ALPHA: 0.25 FOCAL_LOSS_GAMMA: 2.0 IN_FEATURES: - p3 - p4 - p5 - p6 - p7 IOU_LABELS: - 0 - -1 - 1 IOU_THRESHOLDS: - 0.4 - 0.5 NMS_THRESH_TEST: 0.5 NORM: '' NUM_CLASSES: 80 NUM_CONVS: 4 PRIOR_PROB: 0.01 SCORE_THRESH_TEST: 0.05 SMOOTH_L1_LOSS_BETA: 0.1 TOPK_CANDIDATES_TEST: 1000 ROI_BOX_CASCADE_HEAD: BBOX_REG_WEIGHTS: - - 10.0 - 10.0 - 5.0 - 5.0 - - 20.0 - 20.0 - 10.0 - 10.0 - - 30.0 - 30.0 - 15.0 - 15.0 IOUS: - 0.5 - 0.6 - 0.7 ROI_BOX_HEAD: BBOX_REG_LOSS_TYPE: smooth_l1 BBOX_REG_LOSS_WEIGHT: 1.0 BBOX_REG_WEIGHTS: - 10.0 - 10.0 - 5.0 - 5.0 CLS_AGNOSTIC_BBOX_REG: false CONV_DIM: 256 FC_DIM: 1024 FED_LOSS_FREQ_WEIGHT_POWER: 0.5 FED_LOSS_NUM_CLASSES: 50 NAME: FastRCNNConvFCHead NORM: '' NUM_CONV: 0 NUM_FC: 2 POOLER_RESOLUTION: 7 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 SMOOTH_L1_BETA: 0.0 TRAIN_ON_PRED_BOXES: false USE_FED_LOSS: false USE_SIGMOID_CE: false ROI_HEADS: BATCH_SIZE_PER_IMAGE: 512 IN_FEATURES: - vgg_block5 IOU_LABELS: - 0 - 1 IOU_THRESHOLDS: - 0.5 NAME: GuassianROIHead NMS_THRESH_TEST: 0.5 NUM_CLASSES: 8 POSITIVE_FRACTION: 0.25 PROPOSAL_APPEND_GT: true SCORE_THRESH_TEST: 0.05 ROI_KEYPOINT_HEAD: CONV_DIMS: - 512 - 512 - 512 - 512 - 512 - 512 - 512 - 512 LOSS_WEIGHT: 1.0 MIN_KEYPOINTS_PER_IMAGE: 1 NAME: KRCNNConvDeconvUpsampleHead NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true NUM_KEYPOINTS: 17 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 ROI_MASK_HEAD: CLS_AGNOSTIC_MASK: false CONV_DIM: 256 NAME: MaskRCNNConvUpsampleHead NORM: '' NUM_CONV: 0 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 RPN: BATCH_SIZE_PER_IMAGE: 256 BBOX_REG_LOSS_TYPE: smooth_l1 BBOX_REG_LOSS_WEIGHT: 1.0 BBOX_REG_WEIGHTS: *id001 BOUNDARY_THRESH: -1 CONV_DIMS: - -1 HEAD_NAME: GuassianRPNHead IN_FEATURES: - vgg_block5 IOU_LABELS: - 0 - -1 - 1 IOU_THRESHOLDS: - 0.3 - 0.7 LOSS_WEIGHT: 1.0 NMS_THRESH: 0.7 POSITIVE_FRACTION: 0.25 POST_NMS_TOPK_TEST: 1000 POST_NMS_TOPK_TRAIN: 2000 PRE_NMS_TOPK_TEST: 6000 PRE_NMS_TOPK_TRAIN: 12000 SMOOTH_L1_BETA: 0.0 SEM_SEG_HEAD: COMMON_STRIDE: 4 CONVS_DIM: 128 IGNORE_VALUE: 255 IN_FEATURES: - p2 - p3 - p4 - p5 LOSS_WEIGHT: 1.0 NAME: SemSegFPNHead NORM: GN NUM_CLASSES: 54 VGG: CONV5_OUT_CHANNELS: 512 DEPTH: 16 NORM: None OUT_FEATURES: - vgg_block5 PRETRAIN: ./vgg16_caffe.pth WEIGHTS: '' OUTPUT_DIR: ./output/k2bdd/ SEED: -1 SOLVER: AMP: ENABLED: false BASE_LR: 0.016 BASE_LR_END: 0.0 BIAS_LR_FACTOR: 1.0 CHECKPOINT_PERIOD: 4000 CLIP_GRADIENTS: CLIP_TYPE: value CLIP_VALUE: 1.0 ENABLED: false NORM_TYPE: 2.0 FACTOR_LIST: - 1 GAMMA: 0.1 IMG_PER_BATCH_LABEL: 16 IMG_PER_BATCH_UNLABEL: 16 IMS_PER_BATCH: 16 LR_SCHEDULER_NAME: WarmupMultiStepLR MAX_ITER: 30000 MOMENTUM: 0.9 NESTEROV: false NUM_DECAYS: 3 REFERENCE_BATCH_SIZE: 16 REFERENCE_WORLD_SIZE: 1 RESCALE_INTERVAL: false STEPS: - 30000 WARMUP_FACTOR: 0.001 WARMUP_ITERS: 400 WARMUP_METHOD: linear WEIGHT_DECAY: 0.0001 WEIGHT_DECAY_BIAS: null WEIGHT_DECAY_NORM: 0.0 TEST: AUG: ENABLED: false FLIP: true MAX_SIZE: 4000 MIN_SIZES: - 400 - 500 - 600 - 700 - 800 - 900 - 1000 - 1100 - 1200 DETECTIONS_PER_IMAGE: 100 EVALUATOR: VOCeval EVAL_PERIOD: 400 EXPECTED_RESULTS: [] KEYPOINT_OKS_SIGMAS: [] PRECISE_BN: ENABLED: false NUM_ITER: 200 UNSUPNET: BURN_UP_STEP: 4000 EFL: true EFL_LAMBDA: - 0.5 - 0.5 EMA_KEEP_RATE: 0.9996 GUASSIAN: true LOSS_WEIGHT_TYPE: standard MODEL_TYPE: GUASSIAN PSEUDO_BBOX_SAMPLE: all SOURCE_LOSS_WEIGHT: 1.0 TARGET_UNSUP_LOSS_WEIGHT: 1.0 TAU: - 0.5 - 0.5 TEACHER_UPDATE_ITER: 1 Trainer: pt VERSION: 2 VIS_PERIOD: 0 [10/23 23:44:31] detectron2 INFO: Full config saved to ./output/k2bdd/config.yaml [10/23 23:44:31] d2.utils.env INFO: Using a generated random seed 31877051 [10/23 23:44:32] d2.data.build INFO: Removed 0 images with no usable annotations. 5984 images left. [10/23 23:44:32] d2.data.build INFO: Distribution of instances among all 8 categories: | category | #instances | category | #instances | category | #instances | |:----------:|:-------------|:----------:|:-------------|:----------:|:-------------| | truck | 872 | car | 25310 | rider | 1263 | | person | 3769 | train | 411 | motorcycle | 0 | | bicycle | 0 | bus | 0 | | | | total | 31625 | | | | | [10/23 23:44:54] d2.data.build INFO: Distribution of instances among all 8 categories: | category | #instances | category | #instances | category | #instances | |:----------:|:-------------|:----------:|:-------------|:----------:|:-------------| | truck | 22325 | car | 401271 | rider | 3331 | | person | 66058 | train | 97 | motorcycle | 2115 | | bicycle | 5207 | bus | 8410 | | | | total | 508814 | | | | | [10/23 23:44:54] d2.data.common INFO: Serializing 5984 elements to byte tensors and concatenating them all ... [10/23 23:44:54] d2.data.common INFO: Serialized dataset takes 3.35 MiB [10/23 23:44:54] d2.data.common INFO: Serializing 36728 elements to byte tensors and concatenating them all ... [10/23 23:44:54] d2.data.common INFO: Serialized dataset takes 39.12 MiB [10/23 23:45:02] d2.engine.defaults INFO: Model: GuassianGeneralizedRCNN( (backbone): VGG( (vgg_block1): Sequential( (0): VGGBlock( (conv1): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block2): Sequential( (0): VGGBlock( (conv1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block3): Sequential( (0): VGGBlock( (conv1): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block4): Sequential( (0): VGGBlock( (conv1): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block5): Sequential( (0): VGGBlock( (conv1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) ) ) ) (proposal_generator): GuassianRPN( (rpn_head): GuassianRPNHead( (conv): Conv2d( 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1) (activation): ReLU() ) (objectness_logits): Conv2d(512, 9, kernel_size=(1, 1), stride=(1, 1)) (anchor_deltas): Conv2d(512, 72, kernel_size=(1, 1), stride=(1, 1)) ) (anchor_generator): DefaultAnchorGenerator( (cell_anchors): BufferList() ) ) (roi_heads): GuassianROIHead( (box_pooler): ROIPooler( (level_poolers): ModuleList( (0): ROIAlign(output_size=(7, 7), spatial_scale=0.0625, sampling_ratio=0, aligned=True) ) ) (box_head): FastRCNNConvFCHead( (flatten): Flatten(start_dim=1, end_dim=-1) (fc1): Linear(in_features=25088, out_features=1024, bias=True) (fc_relu1): ReLU() (fc2): Linear(in_features=1024, out_features=1024, bias=True) (fc_relu2): ReLU() ) (box_predictor): GuassianFastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=9, bias=True) (bbox_pred): Linear(in_features=1024, out_features=64, bias=True) ) ) ) [10/23 23:45:03] d2.engine.defaults INFO: Model: GuassianGeneralizedRCNN( (backbone): VGG( (vgg_block1): Sequential( (0): VGGBlock( (conv1): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block2): Sequential( (0): VGGBlock( (conv1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block3): Sequential( (0): VGGBlock( (conv1): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block4): Sequential( (0): VGGBlock( (conv1): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block5): Sequential( (0): VGGBlock( (conv1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) ) ) ) (proposal_generator): GuassianRPN( (rpn_head): GuassianRPNHead( (conv): Conv2d( 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1) (activation): ReLU() ) (objectness_logits): Conv2d(512, 9, kernel_size=(1, 1), stride=(1, 1)) (anchor_deltas): Conv2d(512, 72, kernel_size=(1, 1), stride=(1, 1)) ) (anchor_generator): DefaultAnchorGenerator( (cell_anchors): BufferList() ) ) (roi_heads): GuassianROIHead( (box_pooler): ROIPooler( (level_poolers): ModuleList( (0): ROIAlign(output_size=(7, 7), spatial_scale=0.0625, sampling_ratio=0, aligned=True) ) ) (box_head): FastRCNNConvFCHead( (flatten): Flatten(start_dim=1, end_dim=-1) (fc1): Linear(in_features=25088, out_features=1024, bias=True) (fc_relu1): ReLU() (fc2): Linear(in_features=1024, out_features=1024, bias=True) (fc_relu2): ReLU() ) (box_predictor): GuassianFastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=9, bias=True) (bbox_pred): Linear(in_features=1024, out_features=64, bias=True) ) ) ) [10/23 23:45:05] d2.engine.defaults INFO: Model: GuassianGeneralizedRCNN( (backbone): VGG( (vgg_block1): Sequential( (0): VGGBlock( (conv1): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block2): Sequential( (0): VGGBlock( (conv1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block3): Sequential( (0): VGGBlock( (conv1): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block4): Sequential( (0): VGGBlock( (conv1): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block5): Sequential( (0): VGGBlock( (conv1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) ) ) ) (proposal_generator): GuassianRPN( (rpn_head): GuassianRPNHead( (conv): Conv2d( 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1) (activation): ReLU() ) (objectness_logits): Conv2d(512, 9, kernel_size=(1, 1), stride=(1, 1)) (anchor_deltas): Conv2d(512, 72, kernel_size=(1, 1), stride=(1, 1)) ) (anchor_generator): DefaultAnchorGenerator( (cell_anchors): BufferList() ) ) (roi_heads): GuassianROIHead( (box_pooler): ROIPooler( (level_poolers): ModuleList( (0): ROIAlign(output_size=(7, 7), spatial_scale=0.0625, sampling_ratio=0, aligned=True) ) ) (box_head): FastRCNNConvFCHead( (flatten): Flatten(start_dim=1, end_dim=-1) (fc1): Linear(in_features=25088, out_features=1024, bias=True) (fc_relu1): ReLU() (fc2): Linear(in_features=1024, out_features=1024, bias=True) (fc_relu2): ReLU() ) (box_predictor): GuassianFastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=9, bias=True) (bbox_pred): Linear(in_features=1024, out_features=64, bias=True) ) ) ) [10/23 23:45:05] d2.solver.lr_scheduler WARNING: WarmupMultiStepLR is deprecated! Use LRMultipilier with fvcore ParamScheduler instead! [10/23 23:45:20] fvcore.common.checkpoint INFO: No checkpoint found. Initializing model from scratch [10/23 23:46:45] d2.utils.events INFO: eta: 1 day, 7:36:14 iter: 19 total_loss: 2.596 loss_cls: 0.803 loss_box_reg: 0.1756 loss_rpn_cls: 0.6479 loss_rpn_loc: 0.8711 time: 4.1524 data_time: 0.9587 lr: 0.00077524 max_mem: 15878M [10/23 23:47:58] d2.utils.events INFO: eta: 1 day, 7:07:28 iter: 39 total_loss: 1.442 loss_cls: 0.1692 loss_box_reg: 0.2175 loss_rpn_cls: 0.3272 loss_rpn_loc: 0.6801 time: 3.9025 data_time: 0.8446 lr: 0.0015744 max_mem: 15878M [10/23 23:49:27] d2.utils.events INFO: eta: 1 day, 7:16:44 iter: 59 total_loss: 1.196 loss_cls: 0.1385 loss_box_reg: 0.2773 loss_rpn_cls: 0.183 loss_rpn_loc: 0.5847 time: 4.0818 data_time: 0.9114 lr: 0.0023736 max_mem: 15878M [10/23 23:50:57] d2.utils.events INFO: eta: 1 day, 7:04:19 iter: 79 total_loss: 1.162 loss_cls: 0.1263 loss_box_reg: 0.3062 loss_rpn_cls: 0.1407 loss_rpn_loc: 0.5701 time: 4.1911 data_time: 0.8038 lr: 0.0031728 max_mem: 15878M [10/23 23:52:17] d2.utils.events INFO: eta: 1 day, 6:56:10 iter: 99 total_loss: 1.137 loss_cls: 0.129 loss_box_reg: 0.3322 loss_rpn_cls: 0.1397 loss_rpn_loc: 0.5467 time: 4.1547 data_time: 0.8661 lr: 0.003972 max_mem: 15878M [10/23 23:54:13] d2.utils.events INFO: eta: 1 day, 7:04:21 iter: 119 total_loss: 1.172 loss_cls: 0.133 loss_box_reg: 0.3642 loss_rpn_cls: 0.1289 loss_rpn_loc: 0.5199 time: 4.4333 data_time: 0.8537 lr: 0.0047712 max_mem: 15878M [10/23 23:55:50] d2.utils.events INFO: eta: 1 day, 7:00:34 iter: 139 total_loss: 1.144 loss_cls: 0.122 loss_box_reg: 0.395 loss_rpn_cls: 0.1152 loss_rpn_loc: 0.5259 time: 4.4958 data_time: 0.8470 lr: 0.0055704 max_mem: 15878M [10/23 23:57:33] d2.utils.events INFO: eta: 1 day, 7:00:21 iter: 159 total_loss: 1.048 loss_cls: 0.1068 loss_box_reg: 0.3538 loss_rpn_cls: 0.09978 loss_rpn_loc: 0.4807 time: 4.5729 data_time: 0.8815 lr: 0.0063696 max_mem: 15878M [10/23 23:59:31] d2.utils.events INFO: eta: 1 day, 7:00:36 iter: 179 total_loss: 1.074 loss_cls: 0.1036 loss_box_reg: 0.3851 loss_rpn_cls: 0.102 loss_rpn_loc: 0.4929 time: 4.7263 data_time: 0.8341 lr: 0.0071688 max_mem: 15878M [10/24 00:01:26] d2.utils.events INFO: eta: 1 day, 6:59:21 iter: 199 total_loss: 1.093 loss_cls: 0.1059 loss_box_reg: 0.3179 loss_rpn_cls: 0.1274 loss_rpn_loc: 0.5295 time: 4.8288 data_time: 0.8276 lr: 0.007968 max_mem: 15878M [10/24 00:03:12] d2.utils.events INFO: eta: 1 day, 7:01:00 iter: 219 total_loss: 0.9701 loss_cls: 0.09114 loss_box_reg: 0.3 loss_rpn_cls: 0.1068 loss_rpn_loc: 0.4941 time: 4.8707 data_time: 0.8792 lr: 0.0087672 max_mem: 15878M [10/24 00:04:35] d2.utils.events INFO: eta: 1 day, 6:59:45 iter: 239 total_loss: 1.046 loss_cls: 0.09398 loss_box_reg: 0.3559 loss_rpn_cls: 0.1004 loss_rpn_loc: 0.4715 time: 4.8128 data_time: 0.8963 lr: 0.0095664 max_mem: 15878M [10/24 00:06:53] d2.utils.events INFO: eta: 1 day, 7:01:38 iter: 259 total_loss: 1.052 loss_cls: 0.09531 loss_box_reg: 0.3774 loss_rpn_cls: 0.09479 loss_rpn_loc: 0.5068 time: 4.9718 data_time: 0.8572 lr: 0.010366 max_mem: 15878M [10/24 00:08:17] d2.utils.events INFO: eta: 1 day, 6:57:15 iter: 279 total_loss: 1.093 loss_cls: 0.09942 loss_box_reg: 0.4225 loss_rpn_cls: 0.09103 loss_rpn_loc: 0.459 time: 4.9154 data_time: 0.8483 lr: 0.011165 max_mem: 15878M [10/24 00:10:06] d2.utils.events INFO: eta: 1 day, 6:54:23 iter: 299 total_loss: 1.057 loss_cls: 0.101 loss_box_reg: 0.4319 loss_rpn_cls: 0.0892 loss_rpn_loc: 0.4501 time: 4.9543 data_time: 0.8346 lr: 0.011964 max_mem: 15878M [10/24 00:11:20] d2.utils.events INFO: eta: 1 day, 6:49:42 iter: 319 total_loss: 1.048 loss_cls: 0.09857 loss_box_reg: 0.4022 loss_rpn_cls: 0.08834 loss_rpn_loc: 0.4586 time: 4.8745 data_time: 0.8397 lr: 0.012763 max_mem: 15878M [10/24 00:13:08] d2.utils.events INFO: eta: 1 day, 6:47:57 iter: 339 total_loss: 1.097 loss_cls: 0.1032 loss_box_reg: 0.3881 loss_rpn_cls: 0.09961 loss_rpn_loc: 0.5334 time: 4.9064 data_time: 0.8319 lr: 0.013562 max_mem: 15878M [10/24 00:15:05] d2.utils.events INFO: eta: 1 day, 6:47:53 iter: 359 total_loss: 1.054 loss_cls: 0.08702 loss_box_reg: 0.3739 loss_rpn_cls: 0.09154 loss_rpn_loc: 0.4649 time: 4.9586 data_time: 0.8662 lr: 0.014362 max_mem: 15878M [10/24 00:16:32] d2.utils.events INFO: eta: 1 day, 6:46:38 iter: 379 total_loss: 1.123 loss_cls: 0.09924 loss_box_reg: 0.3954 loss_rpn_cls: 0.09057 loss_rpn_loc: 0.5022 time: 4.9246 data_time: 0.8577 lr: 0.015161 max_mem: 15878M [10/24 00:18:06] d2.data.build INFO: Distribution of instances among all 8 categories: | category | #instances | category | #instances | category | #instances | |:----------:|:-------------|:----------:|:-------------|:----------:|:-------------| | truck | 3125 | car | 57833 | rider | 478 | | person | 9366 | train | 8 | motorcycle | 329 | | bicycle | 751 | bus | 1156 | | | | total | 73046 | | | | | [10/24 00:18:06] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 00:18:06] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 00:18:06] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 00:18:06] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 00:18:08] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0011 s/iter. Inference: 0.0395 s/iter. Eval: 0.0006 s/iter. Total: 0.0412 s/iter. ETA=0:03:36 [10/24 00:18:13] d2.evaluation.evaluator INFO: Inference done 131/5258. Dataloading: 0.0012 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:03:34 [10/24 00:18:18] d2.evaluation.evaluator INFO: Inference done 249/5258. Dataloading: 0.0012 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:03:31 [10/24 00:18:23] d2.evaluation.evaluator INFO: Inference done 367/5258. Dataloading: 0.0012 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:03:26 [10/24 00:18:28] d2.evaluation.evaluator INFO: Inference done 493/5258. Dataloading: 0.0012 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:03:18 [10/24 00:18:33] d2.evaluation.evaluator INFO: Inference done 618/5258. Dataloading: 0.0012 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:03:12 [10/24 00:18:38] d2.evaluation.evaluator INFO: Inference done 743/5258. Dataloading: 0.0012 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:03:05 [10/24 00:18:43] d2.evaluation.evaluator INFO: Inference done 867/5258. Dataloading: 0.0012 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:03:00 [10/24 00:18:48] d2.evaluation.evaluator INFO: Inference done 987/5258. Dataloading: 0.0012 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:02:55 [10/24 00:18:53] d2.evaluation.evaluator INFO: Inference done 1106/5258. Dataloading: 0.0012 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0413 s/iter. ETA=0:02:51 [10/24 00:18:58] d2.evaluation.evaluator INFO: Inference done 1225/5258. Dataloading: 0.0012 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:02:46 [10/24 00:19:03] d2.evaluation.evaluator INFO: Inference done 1346/5258. Dataloading: 0.0012 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:02:41 [10/24 00:19:08] d2.evaluation.evaluator INFO: Inference done 1468/5258. Dataloading: 0.0012 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:02:36 [10/24 00:19:14] d2.evaluation.evaluator INFO: Inference done 1594/5258. Dataloading: 0.0012 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:02:31 [10/24 00:19:19] d2.evaluation.evaluator INFO: Inference done 1718/5258. Dataloading: 0.0012 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:02:25 [10/24 00:19:24] d2.evaluation.evaluator INFO: Inference done 1840/5258. Dataloading: 0.0012 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:02:20 [10/24 00:19:29] d2.evaluation.evaluator INFO: Inference done 1965/5258. Dataloading: 0.0012 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:02:15 [10/24 00:19:34] d2.evaluation.evaluator INFO: Inference done 2091/5258. Dataloading: 0.0012 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:02:09 [10/24 00:19:39] d2.evaluation.evaluator INFO: Inference done 2214/5258. Dataloading: 0.0012 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:02:04 [10/24 00:19:44] d2.evaluation.evaluator INFO: Inference done 2339/5258. Dataloading: 0.0012 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:01:59 [10/24 00:19:49] d2.evaluation.evaluator INFO: Inference done 2463/5258. Dataloading: 0.0012 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:01:54 [10/24 00:19:54] d2.evaluation.evaluator INFO: Inference done 2585/5258. Dataloading: 0.0012 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:01:49 [10/24 00:19:59] d2.evaluation.evaluator INFO: Inference done 2705/5258. Dataloading: 0.0012 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:01:44 [10/24 00:20:04] d2.evaluation.evaluator INFO: Inference done 2821/5258. Dataloading: 0.0012 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:01:40 [10/24 00:20:09] d2.evaluation.evaluator INFO: Inference done 2920/5258. Dataloading: 0.0012 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:01:36 [10/24 00:20:14] d2.evaluation.evaluator INFO: Inference done 3003/5258. Dataloading: 0.0012 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:01:34 [10/24 00:20:19] d2.evaluation.evaluator INFO: Inference done 3108/5258. Dataloading: 0.0012 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:01:30 [10/24 00:20:24] d2.evaluation.evaluator INFO: Inference done 3227/5258. Dataloading: 0.0012 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:01:25 [10/24 00:20:29] d2.evaluation.evaluator INFO: Inference done 3350/5258. Dataloading: 0.0012 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:01:20 [10/24 00:20:34] d2.evaluation.evaluator INFO: Inference done 3472/5258. Dataloading: 0.0012 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:01:15 [10/24 00:20:39] d2.evaluation.evaluator INFO: Inference done 3599/5258. Dataloading: 0.0012 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:01:09 [10/24 00:20:44] d2.evaluation.evaluator INFO: Inference done 3726/5258. Dataloading: 0.0012 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:01:04 [10/24 00:20:49] d2.evaluation.evaluator INFO: Inference done 3848/5258. Dataloading: 0.0012 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:00:59 [10/24 00:20:54] d2.evaluation.evaluator INFO: Inference done 3943/5258. Dataloading: 0.0012 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:00:55 [10/24 00:20:59] d2.evaluation.evaluator INFO: Inference done 4019/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0426 s/iter. ETA=0:00:52 [10/24 00:21:04] d2.evaluation.evaluator INFO: Inference done 4094/5258. Dataloading: 0.0012 s/iter. Inference: 0.0413 s/iter. Eval: 0.0005 s/iter. 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ETA=0:00:01 [10/24 00:21:57] d2.evaluation.evaluator INFO: Total inference time: 0:03:48.716795 (0.043540 s / iter per device, on 1 devices) [10/24 00:21:57] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:39 (0.041730 s / iter per device, on 1 devices) [10/24 00:21:57] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 00:21:57] d2.engine.hooks INFO: Overall training speed: 397 iterations in 0:32:29 (4.9114 s / it) [10/24 00:21:57] d2.engine.hooks INFO: Total training time: 0:36:26 (0:03:57 on hooks) [10/24 00:21:57] d2.utils.events INFO: eta: 1 day, 6:44:43 iter: 399 total_loss: 1.045 loss_cls: 0.08267 loss_box_reg: 0.4388 loss_rpn_cls: 0.08207 loss_rpn_loc: 0.4305 time: 4.8990 data_time: 0.8592 lr: 0.01596 max_mem: 15878M [10/24 10:08:29] detectron2 INFO: Rank of current process: 0. World size: 1 [10/24 10:08:31] detectron2 INFO: Environment info: ---------------------- ------------------------------------------------------------------------------- sys.platform linux Python 3.7.12 | packaged by conda-forge | (default, Oct 26 2021, 06:08:21) [GCC 9.4.0] numpy 1.19.5 detectron2 0.6 @/home/superorange5/Research/ProbabilisticTeacher/detectron2 detectron2._C not built correctly: No module named 'detectron2._C' Compiler ($CXX) c++ (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0 CUDA compiler Build cuda_11.4.r11.4/compiler.30188945_0 DETECTRON2_ENV_MODULE PyTorch 1.12.1+cu102 @/home/superorange5/.local/lib/python3.7/site-packages/torch PyTorch debug build False GPU available Yes GPU 0 Tesla V100-SXM2-32GB (arch=7.0) Driver version 450.119.04 CUDA_HOME /usr/local/cuda TORCH_CUDA_ARCH_LIST 5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX Pillow 9.2.0 torchvision 0.13.1+cu102 @/home/superorange5/.local/lib/python3.7/site-packages/torchvision torchvision arch flags 3.5, 5.0, 6.0, 7.0, 7.5 fvcore 0.1.5.post20220512 iopath 0.1.9 cv2 4.1.2 ---------------------- ------------------------------------------------------------------------------- PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 10.2 - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70 - CuDNN 7.6.5 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=10.2, CUDNN_VERSION=7.6.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.12.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, [10/24 10:08:31] detectron2 INFO: Command line arguments: Namespace(config_file='configs/pt/k2bdd.yaml', dist_url='tcp://127.0.0.1:64330', eval_only=False, machine_rank=0, num_gpus=1, num_machines=1, opts=['UNSUPNET.EFL', 'True', 'UNSUPNET.EFL_LAMBDA', '[0.5,0.5]', 'UNSUPNET.TAU', '[0.5,0.5]'], resume=False) [10/24 10:08:31] detectron2 INFO: Contents of args.config_file=configs/pt/k2bdd.yaml: _BASE_: "../Guassian-RCNN-VGG.yaml" MODEL: ROI_HEADS: NUM_CLASSES: 8 SOLVER: LR_SCHEDULER_NAME: "WarmupMultiStepLR" STEPS: (30000,) MAX_ITER: 30000 IMG_PER_BATCH_LABEL: 16 IMG_PER_BATCH_UNLABEL: 16 BASE_LR: 0.016 WARMUP_ITERS: 400 CHECKPOINT_PERIOD: 4000 REFERENCE_BATCH_SIZE: 16 DATALOADER: NUM_WORKERS: 2 DATASETS: CROSS_DATASET: True TRAIN_LABEL: ("VOC2007_kitti8",) TRAIN_UNLABEL: ("VOC2007_bddtrain",) TEST: ("VOC2007_bddval",) UNSUPNET: Trainer: "pt" TEACHER_UPDATE_ITER: 1 BURN_UP_STEP: 4000 EMA_KEEP_RATE: 0.9996 SOURCE_LOSS_WEIGHT: 1.0 TARGET_UNSUP_LOSS_WEIGHT: 1.0 GUASSIAN: True EFL: True EFL_LAMBDA: [0.5,0.5] TAU: [0.25,0.25] TEST: EVAL_PERIOD: 400 EVALUATOR: "VOCeval" INPUT: MIN_SIZE_TRAIN: (600, ) MIN_SIZE_TEST: 600 RANDOM_FLIP: "horizontal" OUTPUT_DIR: "./output/k2bdd/" [10/24 10:08:31] detectron2 INFO: Running with full config: CUDNN_BENCHMARK: false DATALOADER: ASPECT_RATIO_GROUPING: true FILTER_EMPTY_ANNOTATIONS: true NUM_WORKERS: 2 REPEAT_THRESHOLD: 0.0 SAMPLER_TRAIN: TrainingSampler DATASETS: CROSS_DATASET: true PRECOMPUTED_PROPOSAL_TOPK_TEST: 1000 PRECOMPUTED_PROPOSAL_TOPK_TRAIN: 2000 PROPOSAL_FILES_TEST: [] PROPOSAL_FILES_TRAIN: [] TEST: - VOC2007_bddval TRAIN: - coco_2017_train TRAIN_LABEL: - VOC2007_kitti8 TRAIN_UNLABEL: - VOC2007_bddtrain GLOBAL: HACK: 1.0 INPUT: CROP: ENABLED: false SIZE: - 0.9 - 0.9 TYPE: relative_range FORMAT: BGR MASK_FORMAT: polygon MAX_SIZE_TEST: 1333 MAX_SIZE_TRAIN: 1333 MIN_SIZE_TEST: 600 MIN_SIZE_TRAIN: - 600 MIN_SIZE_TRAIN_SAMPLING: choice RANDOM_FLIP: horizontal MODEL: ANCHOR_GENERATOR: ANCHOR: - - - 181.0193 - 90.5097 - - 128.0 - 128.0 - - 90.5097 - 181.0193 - - 362.0387 - 181.0193 - - 256.0 - 256.0 - - 181.0193 - 362.0387 - - 724.0773 - 362.0387 - - 512.0 - 512.0 - - 362.0387 - 724.0773 ANGLES: - - -90 - 0 - 90 ASPECT_RATIOS: - - 0.5 - 1.0 - 2.0 NAME: DefaultAnchorGenerator OFFSET: 0.0 SIZES: - - 128 - 256 - 512 BACKBONE: FREEZE_AT: 2 NAME: build_vgg_backbone DEVICE: cuda FPN: FUSE_TYPE: sum IN_FEATURES: [] NORM: '' OUT_CHANNELS: 256 KEYPOINT_ON: false LOAD_PROPOSALS: false MASK_ON: false META_ARCHITECTURE: GuassianGeneralizedRCNN PANOPTIC_FPN: COMBINE: ENABLED: true INSTANCES_CONFIDENCE_THRESH: 0.5 OVERLAP_THRESH: 0.5 STUFF_AREA_LIMIT: 4096 INSTANCE_LOSS_WEIGHT: 1.0 PIXEL_MEAN: - 103.53 - 116.28 - 123.675 PIXEL_STD: - 1.0 - 1.0 - 1.0 PROPOSAL_GENERATOR: MIN_SIZE: 0 NAME: GuassianRPN RESNETS: DEFORM_MODULATED: false DEFORM_NUM_GROUPS: 1 DEFORM_ON_PER_STAGE: - false - false - false - false DEPTH: 50 NORM: FrozenBN NUM_GROUPS: 1 OUT_FEATURES: - res4 RES2_OUT_CHANNELS: 256 RES5_DILATION: 1 STEM_OUT_CHANNELS: 64 STRIDE_IN_1X1: true WIDTH_PER_GROUP: 64 RETINANET: BBOX_REG_LOSS_TYPE: smooth_l1 BBOX_REG_WEIGHTS: &id001 - 1.0 - 1.0 - 1.0 - 1.0 FOCAL_LOSS_ALPHA: 0.25 FOCAL_LOSS_GAMMA: 2.0 IN_FEATURES: - p3 - p4 - p5 - p6 - p7 IOU_LABELS: - 0 - -1 - 1 IOU_THRESHOLDS: - 0.4 - 0.5 NMS_THRESH_TEST: 0.5 NORM: '' NUM_CLASSES: 80 NUM_CONVS: 4 PRIOR_PROB: 0.01 SCORE_THRESH_TEST: 0.05 SMOOTH_L1_LOSS_BETA: 0.1 TOPK_CANDIDATES_TEST: 1000 ROI_BOX_CASCADE_HEAD: BBOX_REG_WEIGHTS: - - 10.0 - 10.0 - 5.0 - 5.0 - - 20.0 - 20.0 - 10.0 - 10.0 - - 30.0 - 30.0 - 15.0 - 15.0 IOUS: - 0.5 - 0.6 - 0.7 ROI_BOX_HEAD: BBOX_REG_LOSS_TYPE: smooth_l1 BBOX_REG_LOSS_WEIGHT: 1.0 BBOX_REG_WEIGHTS: - 10.0 - 10.0 - 5.0 - 5.0 CLS_AGNOSTIC_BBOX_REG: false CONV_DIM: 256 FC_DIM: 1024 FED_LOSS_FREQ_WEIGHT_POWER: 0.5 FED_LOSS_NUM_CLASSES: 50 NAME: FastRCNNConvFCHead NORM: '' NUM_CONV: 0 NUM_FC: 2 POOLER_RESOLUTION: 7 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 SMOOTH_L1_BETA: 0.0 TRAIN_ON_PRED_BOXES: false USE_FED_LOSS: false USE_SIGMOID_CE: false ROI_HEADS: BATCH_SIZE_PER_IMAGE: 512 IN_FEATURES: - vgg_block5 IOU_LABELS: - 0 - 1 IOU_THRESHOLDS: - 0.5 NAME: GuassianROIHead NMS_THRESH_TEST: 0.5 NUM_CLASSES: 8 POSITIVE_FRACTION: 0.25 PROPOSAL_APPEND_GT: true SCORE_THRESH_TEST: 0.05 ROI_KEYPOINT_HEAD: CONV_DIMS: - 512 - 512 - 512 - 512 - 512 - 512 - 512 - 512 LOSS_WEIGHT: 1.0 MIN_KEYPOINTS_PER_IMAGE: 1 NAME: KRCNNConvDeconvUpsampleHead NORMALIZE_LOSS_BY_VISIBLE_KEYPOINTS: true NUM_KEYPOINTS: 17 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 ROI_MASK_HEAD: CLS_AGNOSTIC_MASK: false CONV_DIM: 256 NAME: MaskRCNNConvUpsampleHead NORM: '' NUM_CONV: 0 POOLER_RESOLUTION: 14 POOLER_SAMPLING_RATIO: 0 POOLER_TYPE: ROIAlignV2 RPN: BATCH_SIZE_PER_IMAGE: 256 BBOX_REG_LOSS_TYPE: smooth_l1 BBOX_REG_LOSS_WEIGHT: 1.0 BBOX_REG_WEIGHTS: *id001 BOUNDARY_THRESH: -1 CONV_DIMS: - -1 HEAD_NAME: GuassianRPNHead IN_FEATURES: - vgg_block5 IOU_LABELS: - 0 - -1 - 1 IOU_THRESHOLDS: - 0.3 - 0.7 LOSS_WEIGHT: 1.0 NMS_THRESH: 0.7 POSITIVE_FRACTION: 0.25 POST_NMS_TOPK_TEST: 1000 POST_NMS_TOPK_TRAIN: 2000 PRE_NMS_TOPK_TEST: 6000 PRE_NMS_TOPK_TRAIN: 12000 SMOOTH_L1_BETA: 0.0 SEM_SEG_HEAD: COMMON_STRIDE: 4 CONVS_DIM: 128 IGNORE_VALUE: 255 IN_FEATURES: - p2 - p3 - p4 - p5 LOSS_WEIGHT: 1.0 NAME: SemSegFPNHead NORM: GN NUM_CLASSES: 54 VGG: CONV5_OUT_CHANNELS: 512 DEPTH: 16 NORM: None OUT_FEATURES: - vgg_block5 PRETRAIN: ./vgg16_caffe.pth WEIGHTS: '' OUTPUT_DIR: ./output/k2bdd/ SEED: -1 SOLVER: AMP: ENABLED: false BASE_LR: 0.016 BASE_LR_END: 0.0 BIAS_LR_FACTOR: 1.0 CHECKPOINT_PERIOD: 4000 CLIP_GRADIENTS: CLIP_TYPE: value CLIP_VALUE: 1.0 ENABLED: false NORM_TYPE: 2.0 FACTOR_LIST: - 1 GAMMA: 0.1 IMG_PER_BATCH_LABEL: 16 IMG_PER_BATCH_UNLABEL: 16 IMS_PER_BATCH: 16 LR_SCHEDULER_NAME: WarmupMultiStepLR MAX_ITER: 30000 MOMENTUM: 0.9 NESTEROV: false NUM_DECAYS: 3 REFERENCE_BATCH_SIZE: 16 REFERENCE_WORLD_SIZE: 1 RESCALE_INTERVAL: false STEPS: - 30000 WARMUP_FACTOR: 0.001 WARMUP_ITERS: 400 WARMUP_METHOD: linear WEIGHT_DECAY: 0.0001 WEIGHT_DECAY_BIAS: null WEIGHT_DECAY_NORM: 0.0 TEST: AUG: ENABLED: false FLIP: true MAX_SIZE: 4000 MIN_SIZES: - 400 - 500 - 600 - 700 - 800 - 900 - 1000 - 1100 - 1200 DETECTIONS_PER_IMAGE: 100 EVALUATOR: VOCeval EVAL_PERIOD: 400 EXPECTED_RESULTS: [] KEYPOINT_OKS_SIGMAS: [] PRECISE_BN: ENABLED: false NUM_ITER: 200 UNSUPNET: BURN_UP_STEP: 4000 EFL: true EFL_LAMBDA: - 0.5 - 0.5 EMA_KEEP_RATE: 0.9996 GUASSIAN: true LOSS_WEIGHT_TYPE: standard MODEL_TYPE: GUASSIAN PSEUDO_BBOX_SAMPLE: all SOURCE_LOSS_WEIGHT: 1.0 TARGET_UNSUP_LOSS_WEIGHT: 1.0 TAU: - 0.5 - 0.5 TEACHER_UPDATE_ITER: 1 Trainer: pt VERSION: 2 VIS_PERIOD: 0 [10/24 10:08:31] detectron2 INFO: Full config saved to ./output/k2bdd/config.yaml [10/24 10:08:31] d2.utils.env INFO: Using a generated random seed 31311667 [10/24 10:08:35] d2.data.build INFO: Removed 0 images with no usable annotations. 5984 images left. [10/24 10:08:35] d2.data.build INFO: Distribution of instances among all 8 categories: | category | #instances | category | #instances | category | #instances | |:----------:|:-------------|:----------:|:-------------|:----------:|:-------------| | truck | 872 | car | 25310 | rider | 1263 | | person | 3769 | train | 411 | motorcycle | 0 | | bicycle | 0 | bus | 0 | | | | total | 31625 | | | | | [10/24 10:09:19] d2.data.build INFO: Distribution of instances among all 8 categories: | category | #instances | category | #instances | category | #instances | |:----------:|:-------------|:----------:|:-------------|:----------:|:-------------| | truck | 22325 | car | 401271 | rider | 3331 | | person | 66058 | train | 97 | motorcycle | 2115 | | bicycle | 5207 | bus | 8410 | | | | total | 508814 | | | | | [10/24 10:09:19] d2.data.common INFO: Serializing 5984 elements to byte tensors and concatenating them all ... [10/24 10:09:19] d2.data.common INFO: Serialized dataset takes 3.35 MiB [10/24 10:09:19] d2.data.common INFO: Serializing 36728 elements to byte tensors and concatenating them all ... [10/24 10:09:20] d2.data.common INFO: Serialized dataset takes 39.12 MiB [10/24 10:09:27] d2.engine.defaults INFO: Model: GuassianGeneralizedRCNN( (backbone): VGG( (vgg_block1): Sequential( (0): VGGBlock( (conv1): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block2): Sequential( (0): VGGBlock( (conv1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block3): Sequential( (0): VGGBlock( (conv1): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block4): Sequential( (0): VGGBlock( (conv1): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block5): Sequential( (0): VGGBlock( (conv1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) ) ) ) (proposal_generator): GuassianRPN( (rpn_head): GuassianRPNHead( (conv): Conv2d( 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1) (activation): ReLU() ) (objectness_logits): Conv2d(512, 9, kernel_size=(1, 1), stride=(1, 1)) (anchor_deltas): Conv2d(512, 72, kernel_size=(1, 1), stride=(1, 1)) ) (anchor_generator): DefaultAnchorGenerator( (cell_anchors): BufferList() ) ) (roi_heads): GuassianROIHead( (box_pooler): ROIPooler( (level_poolers): ModuleList( (0): ROIAlign(output_size=(7, 7), spatial_scale=0.0625, sampling_ratio=0, aligned=True) ) ) (box_head): FastRCNNConvFCHead( (flatten): Flatten(start_dim=1, end_dim=-1) (fc1): Linear(in_features=25088, out_features=1024, bias=True) (fc_relu1): ReLU() (fc2): Linear(in_features=1024, out_features=1024, bias=True) (fc_relu2): ReLU() ) (box_predictor): GuassianFastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=9, bias=True) (bbox_pred): Linear(in_features=1024, out_features=64, bias=True) ) ) ) [10/24 10:09:28] d2.engine.defaults INFO: Model: GuassianGeneralizedRCNN( (backbone): VGG( (vgg_block1): Sequential( (0): VGGBlock( (conv1): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block2): Sequential( (0): VGGBlock( (conv1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block3): Sequential( (0): VGGBlock( (conv1): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block4): Sequential( (0): VGGBlock( (conv1): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block5): Sequential( (0): VGGBlock( (conv1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) ) ) ) (proposal_generator): GuassianRPN( (rpn_head): GuassianRPNHead( (conv): Conv2d( 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1) (activation): ReLU() ) (objectness_logits): Conv2d(512, 9, kernel_size=(1, 1), stride=(1, 1)) (anchor_deltas): Conv2d(512, 72, kernel_size=(1, 1), stride=(1, 1)) ) (anchor_generator): DefaultAnchorGenerator( (cell_anchors): BufferList() ) ) (roi_heads): GuassianROIHead( (box_pooler): ROIPooler( (level_poolers): ModuleList( (0): ROIAlign(output_size=(7, 7), spatial_scale=0.0625, sampling_ratio=0, aligned=True) ) ) (box_head): FastRCNNConvFCHead( (flatten): Flatten(start_dim=1, end_dim=-1) (fc1): Linear(in_features=25088, out_features=1024, bias=True) (fc_relu1): ReLU() (fc2): Linear(in_features=1024, out_features=1024, bias=True) (fc_relu2): ReLU() ) (box_predictor): GuassianFastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=9, bias=True) (bbox_pred): Linear(in_features=1024, out_features=64, bias=True) ) ) ) [10/24 10:09:29] d2.engine.defaults INFO: Model: GuassianGeneralizedRCNN( (backbone): VGG( (vgg_block1): Sequential( (0): VGGBlock( (conv1): Conv2d(3, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block2): Sequential( (0): VGGBlock( (conv1): Conv2d(64, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block3): Sequential( (0): VGGBlock( (conv1): Conv2d(128, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block4): Sequential( (0): VGGBlock( (conv1): Conv2d(256, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (maxpool): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False) ) ) (vgg_block5): Sequential( (0): VGGBlock( (conv1): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (conv3): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) ) ) ) (proposal_generator): GuassianRPN( (rpn_head): GuassianRPNHead( (conv): Conv2d( 512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1) (activation): ReLU() ) (objectness_logits): Conv2d(512, 9, kernel_size=(1, 1), stride=(1, 1)) (anchor_deltas): Conv2d(512, 72, kernel_size=(1, 1), stride=(1, 1)) ) (anchor_generator): DefaultAnchorGenerator( (cell_anchors): BufferList() ) ) (roi_heads): GuassianROIHead( (box_pooler): ROIPooler( (level_poolers): ModuleList( (0): ROIAlign(output_size=(7, 7), spatial_scale=0.0625, sampling_ratio=0, aligned=True) ) ) (box_head): FastRCNNConvFCHead( (flatten): Flatten(start_dim=1, end_dim=-1) (fc1): Linear(in_features=25088, out_features=1024, bias=True) (fc_relu1): ReLU() (fc2): Linear(in_features=1024, out_features=1024, bias=True) (fc_relu2): ReLU() ) (box_predictor): GuassianFastRCNNOutputLayers( (cls_score): Linear(in_features=1024, out_features=9, bias=True) (bbox_pred): Linear(in_features=1024, out_features=64, bias=True) ) ) ) [10/24 10:09:29] d2.solver.lr_scheduler WARNING: WarmupMultiStepLR is deprecated! Use LRMultipilier with fvcore ParamScheduler instead! [10/24 10:09:43] fvcore.common.checkpoint INFO: No checkpoint found. Initializing model from scratch [10/24 10:11:02] d2.utils.events INFO: eta: 1 day, 7:21:30 iter: 19 total_loss: 2.245 loss_cls: 0.6405 loss_box_reg: 0.1359 loss_rpn_cls: 0.6853 loss_rpn_loc: 0.8237 time: 3.7907 data_time: 0.9292 lr: 0.00077524 max_mem: 15878M [10/24 10:12:20] d2.utils.events INFO: eta: 1 day, 6:53:43 iter: 39 total_loss: 1.368 loss_cls: 0.1883 loss_box_reg: 0.2188 loss_rpn_cls: 0.3033 loss_rpn_loc: 0.5944 time: 3.8559 data_time: 0.8351 lr: 0.0015744 max_mem: 15878M [10/24 10:13:36] d2.utils.events INFO: eta: 1 day, 7:11:32 iter: 59 total_loss: 1.337 loss_cls: 0.1587 loss_box_reg: 0.3295 loss_rpn_cls: 0.2078 loss_rpn_loc: 0.6378 time: 3.8323 data_time: 0.8609 lr: 0.0023736 max_mem: 15878M [10/24 10:14:53] d2.utils.events INFO: eta: 1 day, 7:06:00 iter: 79 total_loss: 1.147 loss_cls: 0.1373 loss_box_reg: 0.3171 loss_rpn_cls: 0.1447 loss_rpn_loc: 0.5658 time: 3.8424 data_time: 0.8450 lr: 0.0031728 max_mem: 15878M [10/24 10:16:12] d2.utils.events INFO: eta: 1 day, 7:24:24 iter: 99 total_loss: 1.104 loss_cls: 0.104 loss_box_reg: 0.2614 loss_rpn_cls: 0.1347 loss_rpn_loc: 0.5645 time: 3.8624 data_time: 0.9143 lr: 0.003972 max_mem: 15878M [10/24 10:17:31] d2.utils.events INFO: eta: 1 day, 7:26:20 iter: 119 total_loss: 1.145 loss_cls: 0.1142 loss_box_reg: 0.3504 loss_rpn_cls: 0.1259 loss_rpn_loc: 0.5318 time: 3.8755 data_time: 0.8238 lr: 0.0047712 max_mem: 15878M [10/24 10:18:46] d2.utils.events INFO: eta: 1 day, 7:18:32 iter: 139 total_loss: 1.125 loss_cls: 0.1132 loss_box_reg: 0.3701 loss_rpn_cls: 0.1169 loss_rpn_loc: 0.5398 time: 3.8610 data_time: 0.8457 lr: 0.0055704 max_mem: 15878M [10/24 10:20:04] d2.utils.events INFO: eta: 1 day, 7:17:16 iter: 159 total_loss: 1.102 loss_cls: 0.1031 loss_box_reg: 0.3272 loss_rpn_cls: 0.1104 loss_rpn_loc: 0.5377 time: 3.8640 data_time: 0.8239 lr: 0.0063696 max_mem: 15878M [10/24 10:21:21] d2.utils.events INFO: eta: 1 day, 7:14:48 iter: 179 total_loss: 1.151 loss_cls: 0.1251 loss_box_reg: 0.4267 loss_rpn_cls: 0.1149 loss_rpn_loc: 0.5438 time: 3.8637 data_time: 0.8273 lr: 0.0071688 max_mem: 15878M [10/24 10:22:38] d2.utils.events INFO: eta: 1 day, 7:11:29 iter: 199 total_loss: 1.015 loss_cls: 0.09015 loss_box_reg: 0.3417 loss_rpn_cls: 0.1041 loss_rpn_loc: 0.5121 time: 3.8607 data_time: 0.8194 lr: 0.007968 max_mem: 15878M [10/24 10:23:56] d2.utils.events INFO: eta: 1 day, 7:05:44 iter: 219 total_loss: 1.042 loss_cls: 0.09725 loss_box_reg: 0.3794 loss_rpn_cls: 0.09235 loss_rpn_loc: 0.4766 time: 3.8651 data_time: 0.8145 lr: 0.0087672 max_mem: 15878M [10/24 10:25:14] d2.utils.events INFO: eta: 1 day, 7:02:54 iter: 239 total_loss: 1.033 loss_cls: 0.0946 loss_box_reg: 0.3922 loss_rpn_cls: 0.09288 loss_rpn_loc: 0.4868 time: 3.8689 data_time: 0.8720 lr: 0.0095664 max_mem: 15878M [10/24 10:26:31] d2.utils.events INFO: eta: 1 day, 7:01:39 iter: 259 total_loss: 1.024 loss_cls: 0.09733 loss_box_reg: 0.3451 loss_rpn_cls: 0.096 loss_rpn_loc: 0.4825 time: 3.8640 data_time: 0.8586 lr: 0.010366 max_mem: 15878M [10/24 10:27:45] d2.utils.events INFO: eta: 1 day, 6:53:11 iter: 279 total_loss: 1.063 loss_cls: 0.0989 loss_box_reg: 0.3857 loss_rpn_cls: 0.09278 loss_rpn_loc: 0.4843 time: 3.8551 data_time: 0.8278 lr: 0.011165 max_mem: 15878M [10/24 10:29:04] d2.utils.events INFO: eta: 1 day, 6:57:58 iter: 299 total_loss: 1.141 loss_cls: 0.1024 loss_box_reg: 0.4171 loss_rpn_cls: 0.0909 loss_rpn_loc: 0.4885 time: 3.8601 data_time: 0.8366 lr: 0.011964 max_mem: 15878M [10/24 10:30:22] d2.utils.events INFO: eta: 1 day, 6:55:50 iter: 319 total_loss: 1.062 loss_cls: 0.1006 loss_box_reg: 0.3789 loss_rpn_cls: 0.09525 loss_rpn_loc: 0.4919 time: 3.8617 data_time: 0.8290 lr: 0.012763 max_mem: 15878M [10/24 10:31:37] d2.utils.events INFO: eta: 1 day, 6:53:23 iter: 339 total_loss: 1.061 loss_cls: 0.08752 loss_box_reg: 0.3818 loss_rpn_cls: 0.08851 loss_rpn_loc: 0.4763 time: 3.8547 data_time: 0.8161 lr: 0.013562 max_mem: 15878M [10/24 10:32:54] d2.utils.events INFO: eta: 1 day, 6:50:34 iter: 359 total_loss: 1.019 loss_cls: 0.09284 loss_box_reg: 0.3881 loss_rpn_cls: 0.08652 loss_rpn_loc: 0.4739 time: 3.8546 data_time: 0.8232 lr: 0.014362 max_mem: 15878M [10/24 10:34:10] d2.utils.events INFO: eta: 1 day, 6:47:48 iter: 379 total_loss: 1.116 loss_cls: 0.09385 loss_box_reg: 0.4649 loss_rpn_cls: 0.08303 loss_rpn_loc: 0.4576 time: 3.8527 data_time: 0.8147 lr: 0.015161 max_mem: 15878M [10/24 10:35:32] d2.data.build INFO: Distribution of instances among all 8 categories: | category | #instances | category | #instances | category | #instances | |:----------:|:-------------|:----------:|:-------------|:----------:|:-------------| | truck | 3125 | car | 57833 | rider | 478 | | person | 9366 | train | 8 | motorcycle | 329 | | bicycle | 751 | bus | 1156 | | | | total | 73046 | | | | | [10/24 10:35:32] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 10:35:32] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 10:35:32] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 10:35:32] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 10:35:33] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:03:40 [10/24 10:35:38] d2.evaluation.evaluator INFO: Inference done 131/5258. Dataloading: 0.0012 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:03:34 [10/24 10:35:43] d2.evaluation.evaluator INFO: Inference done 244/5258. Dataloading: 0.0012 s/iter. Inference: 0.0413 s/iter. Eval: 0.0005 s/iter. Total: 0.0430 s/iter. ETA=0:03:35 [10/24 10:35:48] d2.evaluation.evaluator INFO: Inference done 360/5258. Dataloading: 0.0012 s/iter. Inference: 0.0414 s/iter. Eval: 0.0005 s/iter. Total: 0.0431 s/iter. ETA=0:03:30 [10/24 10:35:53] d2.evaluation.evaluator INFO: Inference done 475/5258. Dataloading: 0.0012 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0432 s/iter. ETA=0:03:26 [10/24 10:35:58] d2.evaluation.evaluator INFO: Inference done 591/5258. Dataloading: 0.0012 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0432 s/iter. ETA=0:03:21 [10/24 10:36:03] d2.evaluation.evaluator INFO: Inference done 706/5258. Dataloading: 0.0012 s/iter. Inference: 0.0416 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:03:16 [10/24 10:36:08] d2.evaluation.evaluator INFO: Inference done 825/5258. Dataloading: 0.0011 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0431 s/iter. ETA=0:03:11 [10/24 10:36:13] d2.evaluation.evaluator INFO: Inference done 947/5258. Dataloading: 0.0011 s/iter. Inference: 0.0412 s/iter. Eval: 0.0005 s/iter. Total: 0.0429 s/iter. ETA=0:03:04 [10/24 10:36:18] d2.evaluation.evaluator INFO: Inference done 1074/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:02:57 [10/24 10:36:24] d2.evaluation.evaluator INFO: Inference done 1197/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:02:51 [10/24 10:36:29] d2.evaluation.evaluator INFO: Inference done 1318/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:02:46 [10/24 10:36:34] d2.evaluation.evaluator INFO: Inference done 1437/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:02:41 [10/24 10:36:39] d2.evaluation.evaluator INFO: Inference done 1548/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:02:37 [10/24 10:36:44] d2.evaluation.evaluator INFO: Inference done 1672/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:02:31 [10/24 10:36:49] d2.evaluation.evaluator INFO: Inference done 1793/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:02:26 [10/24 10:36:54] d2.evaluation.evaluator INFO: Inference done 1920/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:02:20 [10/24 10:36:59] d2.evaluation.evaluator INFO: Inference done 2040/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:02:15 [10/24 10:37:04] d2.evaluation.evaluator INFO: Inference done 2160/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:02:10 [10/24 10:37:09] d2.evaluation.evaluator INFO: Inference done 2278/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:02:05 [10/24 10:37:14] d2.evaluation.evaluator INFO: Inference done 2393/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:02:00 [10/24 10:37:19] d2.evaluation.evaluator INFO: Inference done 2507/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:01:56 [10/24 10:37:24] d2.evaluation.evaluator INFO: Inference done 2632/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:01:50 [10/24 10:37:29] d2.evaluation.evaluator INFO: Inference done 2757/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:01:45 [10/24 10:37:34] d2.evaluation.evaluator INFO: Inference done 2881/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:01:39 [10/24 10:37:39] d2.evaluation.evaluator INFO: Inference done 3004/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:01:34 [10/24 10:37:44] d2.evaluation.evaluator INFO: Inference done 3125/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:01:29 [10/24 10:37:49] d2.evaluation.evaluator INFO: Inference done 3247/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:01:24 [10/24 10:37:54] d2.evaluation.evaluator INFO: Inference done 3366/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:01:19 [10/24 10:37:59] d2.evaluation.evaluator INFO: Inference done 3491/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:01:13 [10/24 10:38:04] d2.evaluation.evaluator INFO: Inference done 3612/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:01:08 [10/24 10:38:09] d2.evaluation.evaluator INFO: Inference done 3736/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:01:03 [10/24 10:38:14] d2.evaluation.evaluator INFO: Inference done 3853/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:58 [10/24 10:38:19] d2.evaluation.evaluator INFO: Inference done 3973/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:53 [10/24 10:38:24] d2.evaluation.evaluator INFO: Inference done 4091/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:48 [10/24 10:38:29] d2.evaluation.evaluator INFO: Inference done 4210/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:43 [10/24 10:38:34] d2.evaluation.evaluator INFO: Inference done 4330/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:38 [10/24 10:38:39] d2.evaluation.evaluator INFO: Inference done 4452/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:33 [10/24 10:38:44] d2.evaluation.evaluator INFO: Inference done 4574/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:28 [10/24 10:38:49] d2.evaluation.evaluator INFO: Inference done 4699/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:00:23 [10/24 10:38:54] d2.evaluation.evaluator INFO: Inference done 4811/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:18 [10/24 10:38:59] d2.evaluation.evaluator INFO: Inference done 4924/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:00:13 [10/24 10:39:04] d2.evaluation.evaluator INFO: Inference done 5046/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:00:08 [10/24 10:39:09] d2.evaluation.evaluator INFO: Inference done 5168/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:03 [10/24 10:39:13] d2.evaluation.evaluator INFO: Total inference time: 0:03:39.910016 (0.041864 s / iter per device, on 1 devices) [10/24 10:39:13] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:31 (0.040229 s / iter per device, on 1 devices) [10/24 10:39:13] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 10:40:22] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 10:40:22] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 10:40:22] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 10:40:22] d2.evaluation.testing INFO: copypaste: 2.3858,6.1900,1.4682 [10/24 10:40:23] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 10:40:23] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 10:40:23] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 10:40:23] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 10:40:25] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0513 s/iter. Eval: 0.0009 s/iter. Total: 0.0532 s/iter. ETA=0:04:38 [10/24 10:40:30] d2.evaluation.evaluator INFO: Inference done 106/5258. Dataloading: 0.0011 s/iter. Inference: 0.0510 s/iter. Eval: 0.0009 s/iter. Total: 0.0531 s/iter. ETA=0:04:33 [10/24 10:40:35] d2.evaluation.evaluator INFO: Inference done 195/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0546 s/iter. ETA=0:04:36 [10/24 10:40:40] d2.evaluation.evaluator INFO: Inference done 288/5258. Dataloading: 0.0012 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:04:30 [10/24 10:40:45] d2.evaluation.evaluator INFO: Inference done 381/5258. Dataloading: 0.0012 s/iter. Inference: 0.0522 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:04:25 [10/24 10:40:50] d2.evaluation.evaluator INFO: Inference done 473/5258. Dataloading: 0.0012 s/iter. Inference: 0.0522 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:04:20 [10/24 10:40:55] d2.evaluation.evaluator INFO: Inference done 566/5258. Dataloading: 0.0012 s/iter. Inference: 0.0522 s/iter. Eval: 0.0009 s/iter. Total: 0.0543 s/iter. ETA=0:04:14 [10/24 10:41:00] d2.evaluation.evaluator INFO: Inference done 660/5258. Dataloading: 0.0012 s/iter. Inference: 0.0520 s/iter. Eval: 0.0009 s/iter. Total: 0.0542 s/iter. ETA=0:04:09 [10/24 10:41:05] d2.evaluation.evaluator INFO: Inference done 751/5258. Dataloading: 0.0012 s/iter. Inference: 0.0522 s/iter. Eval: 0.0009 s/iter. Total: 0.0543 s/iter. ETA=0:04:04 [10/24 10:41:10] d2.evaluation.evaluator INFO: Inference done 843/5258. Dataloading: 0.0012 s/iter. Inference: 0.0522 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:04:00 [10/24 10:41:15] d2.evaluation.evaluator INFO: Inference done 934/5258. Dataloading: 0.0012 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0545 s/iter. ETA=0:03:55 [10/24 10:41:20] d2.evaluation.evaluator INFO: Inference done 1026/5258. Dataloading: 0.0012 s/iter. Inference: 0.0524 s/iter. Eval: 0.0009 s/iter. Total: 0.0545 s/iter. ETA=0:03:50 [10/24 10:41:25] d2.evaluation.evaluator INFO: Inference done 1116/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0546 s/iter. ETA=0:03:46 [10/24 10:41:30] d2.evaluation.evaluator INFO: Inference done 1211/5258. Dataloading: 0.0012 s/iter. Inference: 0.0524 s/iter. Eval: 0.0009 s/iter. Total: 0.0545 s/iter. ETA=0:03:40 [10/24 10:41:35] d2.evaluation.evaluator INFO: Inference done 1304/5258. Dataloading: 0.0012 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0545 s/iter. ETA=0:03:35 [10/24 10:41:40] d2.evaluation.evaluator INFO: Inference done 1393/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0546 s/iter. ETA=0:03:31 [10/24 10:41:45] d2.evaluation.evaluator INFO: Inference done 1485/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0546 s/iter. ETA=0:03:26 [10/24 10:41:50] d2.evaluation.evaluator INFO: Inference done 1577/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0546 s/iter. ETA=0:03:21 [10/24 10:41:55] d2.evaluation.evaluator INFO: Inference done 1669/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0546 s/iter. ETA=0:03:15 [10/24 10:42:00] d2.evaluation.evaluator INFO: Inference done 1761/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0546 s/iter. ETA=0:03:10 [10/24 10:42:05] d2.evaluation.evaluator INFO: Inference done 1852/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0546 s/iter. ETA=0:03:06 [10/24 10:42:10] d2.evaluation.evaluator INFO: Inference done 1943/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:03:01 [10/24 10:42:15] d2.evaluation.evaluator INFO: Inference done 2035/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:02:56 [10/24 10:42:20] d2.evaluation.evaluator INFO: Inference done 2127/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:02:51 [10/24 10:42:25] d2.evaluation.evaluator INFO: Inference done 2219/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:02:46 [10/24 10:42:30] d2.evaluation.evaluator INFO: Inference done 2311/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:02:41 [10/24 10:42:35] d2.evaluation.evaluator INFO: Inference done 2403/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:02:36 [10/24 10:42:40] d2.evaluation.evaluator INFO: Inference done 2494/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:02:31 [10/24 10:42:45] d2.evaluation.evaluator INFO: Inference done 2586/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:02:26 [10/24 10:42:50] d2.evaluation.evaluator INFO: Inference done 2677/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:02:21 [10/24 10:42:55] d2.evaluation.evaluator INFO: Inference done 2769/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:02:16 [10/24 10:43:01] d2.evaluation.evaluator INFO: Inference done 2861/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:02:11 [10/24 10:43:06] d2.evaluation.evaluator INFO: Inference done 2953/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:02:06 [10/24 10:43:11] d2.evaluation.evaluator INFO: Inference done 3045/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:02:01 [10/24 10:43:16] d2.evaluation.evaluator INFO: Inference done 3137/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:01:56 [10/24 10:43:21] d2.evaluation.evaluator INFO: Inference done 3231/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:01:50 [10/24 10:43:26] d2.evaluation.evaluator INFO: Inference done 3323/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:01:45 [10/24 10:43:31] d2.evaluation.evaluator INFO: Inference done 3415/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:01:40 [10/24 10:43:36] d2.evaluation.evaluator INFO: Inference done 3505/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:01:35 [10/24 10:43:41] d2.evaluation.evaluator INFO: Inference done 3597/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:01:30 [10/24 10:43:46] d2.evaluation.evaluator INFO: Inference done 3688/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:01:25 [10/24 10:43:51] d2.evaluation.evaluator INFO: Inference done 3780/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:01:20 [10/24 10:43:56] d2.evaluation.evaluator INFO: Inference done 3873/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:01:15 [10/24 10:44:01] d2.evaluation.evaluator INFO: Inference done 3964/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:01:10 [10/24 10:44:06] d2.evaluation.evaluator INFO: Inference done 4056/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:01:05 [10/24 10:44:11] d2.evaluation.evaluator INFO: Inference done 4145/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:01:00 [10/24 10:44:16] d2.evaluation.evaluator INFO: Inference done 4236/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:00:55 [10/24 10:44:21] d2.evaluation.evaluator INFO: Inference done 4328/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:00:50 [10/24 10:44:26] d2.evaluation.evaluator INFO: Inference done 4419/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:00:45 [10/24 10:44:31] d2.evaluation.evaluator INFO: Inference done 4511/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:00:40 [10/24 10:44:36] d2.evaluation.evaluator INFO: Inference done 4603/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:00:35 [10/24 10:44:41] d2.evaluation.evaluator INFO: Inference done 4694/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:00:30 [10/24 10:44:46] d2.evaluation.evaluator INFO: Inference done 4787/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:00:25 [10/24 10:44:51] d2.evaluation.evaluator INFO: Inference done 4879/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:00:20 [10/24 10:44:56] d2.evaluation.evaluator INFO: Inference done 4971/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:00:15 [10/24 10:45:01] d2.evaluation.evaluator INFO: Inference done 5063/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:00:10 [10/24 10:45:06] d2.evaluation.evaluator INFO: Inference done 5156/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:00:05 [10/24 10:45:11] d2.evaluation.evaluator INFO: Inference done 5247/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:00:00 [10/24 10:45:12] d2.evaluation.evaluator INFO: Total inference time: 0:04:47.668265 (0.054763 s / iter per device, on 1 devices) [10/24 10:45:12] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:36 (0.052601 s / iter per device, on 1 devices) [10/24 10:45:12] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 10:46:28] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 10:46:28] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 10:46:28] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 10:46:28] d2.evaluation.testing INFO: copypaste: 0.0005,0.0030,0.0000 [10/24 10:46:28] d2.utils.events INFO: eta: 1 day, 6:45:19 iter: 399 total_loss: 1.013 loss_cls: 0.08482 loss_box_reg: 0.3989 loss_rpn_cls: 0.07775 loss_rpn_loc: 0.4376 time: 3.8482 data_time: 0.8288 lr: 0.01596 max_mem: 15878M [10/24 10:47:47] d2.utils.events INFO: eta: 1 day, 6:43:44 iter: 419 total_loss: 1.08 loss_cls: 0.08198 loss_box_reg: 0.3774 loss_rpn_cls: 0.08747 loss_rpn_loc: 0.4708 time: 3.8526 data_time: 0.8150 lr: 0.016 max_mem: 15878M [10/24 10:49:09] d2.utils.events INFO: eta: 1 day, 6:43:13 iter: 439 total_loss: 1.034 loss_cls: 0.09691 loss_box_reg: 0.3888 loss_rpn_cls: 0.08815 loss_rpn_loc: 0.4694 time: 3.8627 data_time: 0.8955 lr: 0.016 max_mem: 15878M [10/24 10:50:25] d2.utils.events INFO: eta: 1 day, 6:42:18 iter: 459 total_loss: 1.006 loss_cls: 0.0893 loss_box_reg: 0.4123 loss_rpn_cls: 0.0799 loss_rpn_loc: 0.448 time: 3.8603 data_time: 0.8313 lr: 0.016 max_mem: 15878M [10/24 10:51:45] d2.utils.events INFO: eta: 1 day, 6:41:50 iter: 479 total_loss: 0.9955 loss_cls: 0.08708 loss_box_reg: 0.3998 loss_rpn_cls: 0.0705 loss_rpn_loc: 0.4431 time: 3.8672 data_time: 0.8768 lr: 0.016 max_mem: 15878M [10/24 10:53:04] d2.utils.events INFO: eta: 1 day, 6:42:11 iter: 499 total_loss: 0.9507 loss_cls: 0.08686 loss_box_reg: 0.4288 loss_rpn_cls: 0.06936 loss_rpn_loc: 0.4197 time: 3.8696 data_time: 0.8349 lr: 0.016 max_mem: 15878M [10/24 10:54:25] d2.utils.events INFO: eta: 1 day, 6:43:37 iter: 519 total_loss: 1.063 loss_cls: 0.08276 loss_box_reg: 0.4505 loss_rpn_cls: 0.07764 loss_rpn_loc: 0.429 time: 3.8775 data_time: 0.8860 lr: 0.016 max_mem: 15878M [10/24 10:55:51] d2.utils.events INFO: eta: 1 day, 6:42:27 iter: 539 total_loss: 1.076 loss_cls: 0.08979 loss_box_reg: 0.4556 loss_rpn_cls: 0.07548 loss_rpn_loc: 0.4416 time: 3.8917 data_time: 0.8619 lr: 0.016 max_mem: 15878M [10/24 10:57:09] d2.utils.events INFO: eta: 1 day, 6:41:40 iter: 559 total_loss: 1.069 loss_cls: 0.08779 loss_box_reg: 0.4552 loss_rpn_cls: 0.07668 loss_rpn_loc: 0.4314 time: 3.8920 data_time: 0.8207 lr: 0.016 max_mem: 15878M [10/24 10:58:30] d2.utils.events INFO: eta: 1 day, 6:40:25 iter: 579 total_loss: 1.146 loss_cls: 0.0975 loss_box_reg: 0.5129 loss_rpn_cls: 0.07038 loss_rpn_loc: 0.4405 time: 3.8979 data_time: 0.8170 lr: 0.016 max_mem: 15878M [10/24 10:59:51] d2.utils.events INFO: eta: 1 day, 6:40:10 iter: 599 total_loss: 0.9828 loss_cls: 0.07891 loss_box_reg: 0.4425 loss_rpn_cls: 0.06504 loss_rpn_loc: 0.3933 time: 3.9024 data_time: 0.8427 lr: 0.016 max_mem: 15878M [10/24 11:01:11] d2.utils.events INFO: eta: 1 day, 6:40:03 iter: 619 total_loss: 1.021 loss_cls: 0.08826 loss_box_reg: 0.4414 loss_rpn_cls: 0.07094 loss_rpn_loc: 0.3996 time: 3.9058 data_time: 0.8152 lr: 0.016 max_mem: 15878M [10/24 11:02:30] d2.utils.events INFO: eta: 1 day, 6:39:42 iter: 639 total_loss: 1.008 loss_cls: 0.08097 loss_box_reg: 0.4076 loss_rpn_cls: 0.07437 loss_rpn_loc: 0.4213 time: 3.9069 data_time: 0.8701 lr: 0.016 max_mem: 15878M [10/24 11:03:49] d2.utils.events INFO: eta: 1 day, 6:38:39 iter: 659 total_loss: 0.9838 loss_cls: 0.08129 loss_box_reg: 0.4279 loss_rpn_cls: 0.06255 loss_rpn_loc: 0.4057 time: 3.9082 data_time: 0.8574 lr: 0.016 max_mem: 15878M [10/24 11:05:09] d2.utils.events INFO: eta: 1 day, 6:39:03 iter: 679 total_loss: 0.9792 loss_cls: 0.07618 loss_box_reg: 0.4278 loss_rpn_cls: 0.05788 loss_rpn_loc: 0.3855 time: 3.9110 data_time: 0.8468 lr: 0.016 max_mem: 15878M [10/24 11:06:28] d2.utils.events INFO: eta: 1 day, 6:38:34 iter: 699 total_loss: 0.9117 loss_cls: 0.07207 loss_box_reg: 0.4069 loss_rpn_cls: 0.06121 loss_rpn_loc: 0.3924 time: 3.9130 data_time: 0.8386 lr: 0.016 max_mem: 15878M [10/24 11:07:46] d2.utils.events INFO: eta: 1 day, 6:35:45 iter: 719 total_loss: 1.072 loss_cls: 0.08917 loss_box_reg: 0.4852 loss_rpn_cls: 0.06347 loss_rpn_loc: 0.3937 time: 3.9123 data_time: 0.8400 lr: 0.016 max_mem: 15878M [10/24 11:09:03] d2.utils.events INFO: eta: 1 day, 6:36:13 iter: 739 total_loss: 0.9943 loss_cls: 0.07832 loss_box_reg: 0.4199 loss_rpn_cls: 0.06616 loss_rpn_loc: 0.4303 time: 3.9108 data_time: 0.8377 lr: 0.016 max_mem: 15878M [10/24 11:10:21] d2.utils.events INFO: eta: 1 day, 6:35:29 iter: 759 total_loss: 0.9112 loss_cls: 0.06951 loss_box_reg: 0.4299 loss_rpn_cls: 0.05903 loss_rpn_loc: 0.3933 time: 3.9098 data_time: 0.8828 lr: 0.016 max_mem: 15878M [10/24 11:11:36] d2.utils.events INFO: eta: 1 day, 6:33:32 iter: 779 total_loss: 1.032 loss_cls: 0.08488 loss_box_reg: 0.4773 loss_rpn_cls: 0.06631 loss_rpn_loc: 0.4105 time: 3.9065 data_time: 0.8159 lr: 0.016 max_mem: 15878M [10/24 11:12:59] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 11:12:59] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 11:12:59] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 11:12:59] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 11:13:00] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0510 s/iter. Eval: 0.0005 s/iter. Total: 0.0526 s/iter. ETA=0:04:35 [10/24 11:13:05] d2.evaluation.evaluator INFO: Inference done 125/5258. Dataloading: 0.0012 s/iter. Inference: 0.0427 s/iter. Eval: 0.0005 s/iter. Total: 0.0444 s/iter. ETA=0:03:47 [10/24 11:13:10] d2.evaluation.evaluator INFO: Inference done 244/5258. Dataloading: 0.0012 s/iter. Inference: 0.0416 s/iter. Eval: 0.0005 s/iter. Total: 0.0432 s/iter. ETA=0:03:36 [10/24 11:13:15] d2.evaluation.evaluator INFO: Inference done 366/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:03:28 [10/24 11:13:20] d2.evaluation.evaluator INFO: Inference done 481/5258. Dataloading: 0.0011 s/iter. Inference: 0.0412 s/iter. Eval: 0.0005 s/iter. Total: 0.0428 s/iter. ETA=0:03:24 [10/24 11:13:25] d2.evaluation.evaluator INFO: Inference done 602/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0005 s/iter. Total: 0.0426 s/iter. ETA=0:03:18 [10/24 11:13:30] d2.evaluation.evaluator INFO: Inference done 717/5258. Dataloading: 0.0011 s/iter. Inference: 0.0411 s/iter. Eval: 0.0005 s/iter. Total: 0.0427 s/iter. ETA=0:03:13 [10/24 11:13:35] d2.evaluation.evaluator INFO: Inference done 833/5258. Dataloading: 0.0011 s/iter. Inference: 0.0411 s/iter. Eval: 0.0005 s/iter. Total: 0.0428 s/iter. ETA=0:03:09 [10/24 11:13:40] d2.evaluation.evaluator INFO: Inference done 950/5258. Dataloading: 0.0011 s/iter. Inference: 0.0412 s/iter. Eval: 0.0005 s/iter. Total: 0.0428 s/iter. ETA=0:03:04 [10/24 11:13:45] d2.evaluation.evaluator INFO: Inference done 1070/5258. Dataloading: 0.0012 s/iter. Inference: 0.0410 s/iter. Eval: 0.0005 s/iter. Total: 0.0427 s/iter. ETA=0:02:58 [10/24 11:13:50] d2.evaluation.evaluator INFO: Inference done 1192/5258. Dataloading: 0.0012 s/iter. Inference: 0.0409 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:02:52 [10/24 11:13:55] d2.evaluation.evaluator INFO: Inference done 1308/5258. Dataloading: 0.0012 s/iter. Inference: 0.0409 s/iter. Eval: 0.0005 s/iter. Total: 0.0426 s/iter. ETA=0:02:48 [10/24 11:14:00] d2.evaluation.evaluator INFO: Inference done 1431/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:02:42 [10/24 11:14:05] d2.evaluation.evaluator INFO: Inference done 1554/5258. Dataloading: 0.0012 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:02:36 [10/24 11:14:10] d2.evaluation.evaluator INFO: Inference done 1675/5258. 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ETA=0:01:41 [10/24 11:15:06] d2.evaluation.evaluator INFO: Inference done 2985/5258. Dataloading: 0.0012 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:01:35 [10/24 11:15:11] d2.evaluation.evaluator INFO: Inference done 3103/5258. Dataloading: 0.0012 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:01:30 [10/24 11:15:16] d2.evaluation.evaluator INFO: Inference done 3226/5258. Dataloading: 0.0012 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:01:25 [10/24 11:15:21] d2.evaluation.evaluator INFO: Inference done 3341/5258. Dataloading: 0.0012 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:01:20 [10/24 11:15:26] d2.evaluation.evaluator INFO: Inference done 3460/5258. Dataloading: 0.0012 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:01:15 [10/24 11:15:31] d2.evaluation.evaluator INFO: Inference done 3576/5258. Dataloading: 0.0012 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:01:11 [10/24 11:15:36] d2.evaluation.evaluator INFO: Inference done 3688/5258. Dataloading: 0.0012 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:01:06 [10/24 11:15:41] d2.evaluation.evaluator INFO: Inference done 3805/5258. Dataloading: 0.0012 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:01:01 [10/24 11:15:46] d2.evaluation.evaluator INFO: Inference done 3917/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:00:56 [10/24 11:15:51] d2.evaluation.evaluator INFO: Inference done 4040/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:00:51 [10/24 11:15:56] d2.evaluation.evaluator INFO: Inference done 4156/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:00:46 [10/24 11:16:01] d2.evaluation.evaluator INFO: Inference done 4274/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:00:41 [10/24 11:16:06] d2.evaluation.evaluator INFO: Inference done 4385/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:00:37 [10/24 11:16:11] d2.evaluation.evaluator INFO: Inference done 4510/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:00:31 [10/24 11:16:16] d2.evaluation.evaluator INFO: Inference done 4631/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:00:26 [10/24 11:16:21] d2.evaluation.evaluator INFO: Inference done 4752/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:00:21 [10/24 11:16:26] d2.evaluation.evaluator INFO: Inference done 4870/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:00:16 [10/24 11:16:31] d2.evaluation.evaluator INFO: Inference done 4994/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:00:11 [10/24 11:16:36] d2.evaluation.evaluator INFO: Inference done 5105/5258. Dataloading: 0.0012 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:00:06 [10/24 11:16:41] d2.evaluation.evaluator INFO: Inference done 5226/5258. Dataloading: 0.0012 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:00:01 [10/24 11:16:43] d2.evaluation.evaluator INFO: Total inference time: 0:03:42.636492 (0.042383 s / iter per device, on 1 devices) [10/24 11:16:43] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:33 (0.040715 s / iter per device, on 1 devices) [10/24 11:16:43] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 11:17:48] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 11:17:48] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 11:17:48] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 11:17:48] d2.evaluation.testing INFO: copypaste: 3.5264,8.7315,2.5188 [10/24 11:17:50] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 11:17:50] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 11:17:50] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 11:17:50] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 11:17:51] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0011 s/iter. Inference: 0.0546 s/iter. Eval: 0.0009 s/iter. Total: 0.0567 s/iter. ETA=0:04:57 [10/24 11:17:56] d2.evaluation.evaluator INFO: Inference done 103/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0550 s/iter. ETA=0:04:43 [10/24 11:18:01] d2.evaluation.evaluator INFO: Inference done 195/5258. Dataloading: 0.0012 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:04:38 [10/24 11:18:06] d2.evaluation.evaluator INFO: Inference done 288/5258. Dataloading: 0.0012 s/iter. 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ETA=0:04:06 [10/24 11:18:36] d2.evaluation.evaluator INFO: Inference done 840/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:04:01 [10/24 11:18:41] d2.evaluation.evaluator INFO: Inference done 932/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:03:56 [10/24 11:18:46] d2.evaluation.evaluator INFO: Inference done 1024/5258. Dataloading: 0.0011 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:03:51 [10/24 11:18:51] d2.evaluation.evaluator INFO: Inference done 1117/5258. Dataloading: 0.0011 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:03:46 [10/24 11:18:56] d2.evaluation.evaluator INFO: Inference done 1210/5258. Dataloading: 0.0011 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0546 s/iter. ETA=0:03:41 [10/24 11:19:01] d2.evaluation.evaluator INFO: Inference done 1302/5258. 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ETA=0:02:46 [10/24 11:19:57] d2.evaluation.evaluator INFO: Inference done 2311/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:02:41 [10/24 11:20:02] d2.evaluation.evaluator INFO: Inference done 2403/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:02:36 [10/24 11:20:07] d2.evaluation.evaluator INFO: Inference done 2496/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:02:31 [10/24 11:20:12] d2.evaluation.evaluator INFO: Inference done 2587/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:02:26 [10/24 11:20:17] d2.evaluation.evaluator INFO: Inference done 2678/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:02:21 [10/24 11:20:22] d2.evaluation.evaluator INFO: Inference done 2769/5258. 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ETA=0:01:26 [10/24 11:21:17] d2.evaluation.evaluator INFO: Inference done 3777/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:01:21 [10/24 11:21:22] d2.evaluation.evaluator INFO: Inference done 3869/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:01:16 [10/24 11:21:27] d2.evaluation.evaluator INFO: Inference done 3961/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:01:11 [10/24 11:21:32] d2.evaluation.evaluator INFO: Inference done 4054/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:01:05 [10/24 11:21:37] d2.evaluation.evaluator INFO: Inference done 4147/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:01:00 [10/24 11:21:42] d2.evaluation.evaluator INFO: Inference done 4240/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:00:55 [10/24 11:21:47] d2.evaluation.evaluator INFO: Inference done 4332/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:00:50 [10/24 11:21:52] d2.evaluation.evaluator INFO: Inference done 4424/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:00:45 [10/24 11:21:57] d2.evaluation.evaluator INFO: Inference done 4516/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:00:40 [10/24 11:22:02] d2.evaluation.evaluator INFO: Inference done 4608/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:00:35 [10/24 11:22:07] d2.evaluation.evaluator INFO: Inference done 4700/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:00:30 [10/24 11:22:12] d2.evaluation.evaluator INFO: Inference done 4794/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:00:25 [10/24 11:22:17] d2.evaluation.evaluator INFO: Inference done 4885/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:00:20 [10/24 11:22:22] d2.evaluation.evaluator INFO: Inference done 4977/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:00:15 [10/24 11:22:27] d2.evaluation.evaluator INFO: Inference done 5069/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:00:10 [10/24 11:22:32] d2.evaluation.evaluator INFO: Inference done 5162/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0546 s/iter. ETA=0:00:05 [10/24 11:22:37] d2.evaluation.evaluator INFO: Inference done 5254/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0546 s/iter. ETA=0:00:00 [10/24 11:22:38] d2.evaluation.evaluator INFO: Total inference time: 0:04:47.090491 (0.054653 s / iter per device, on 1 devices) [10/24 11:22:38] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:35 (0.052506 s / iter per device, on 1 devices) [10/24 11:22:38] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 11:23:55] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 11:23:55] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 11:23:55] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 11:23:55] d2.evaluation.testing INFO: copypaste: 0.0005,0.0030,0.0000 [10/24 11:23:55] d2.utils.events INFO: eta: 1 day, 6:32:28 iter: 799 total_loss: 1.002 loss_cls: 0.07762 loss_box_reg: 0.4521 loss_rpn_cls: 0.06251 loss_rpn_loc: 0.4223 time: 3.9042 data_time: 0.8448 lr: 0.016 max_mem: 15878M [10/24 11:25:11] d2.utils.events INFO: eta: 1 day, 6:31:02 iter: 819 total_loss: 0.9145 loss_cls: 0.0684 loss_box_reg: 0.4108 loss_rpn_cls: 0.06094 loss_rpn_loc: 0.3849 time: 3.9015 data_time: 0.8408 lr: 0.016 max_mem: 15878M [10/24 11:26:29] d2.utils.events INFO: eta: 1 day, 6:29:57 iter: 839 total_loss: 0.9884 loss_cls: 0.07576 loss_box_reg: 0.465 loss_rpn_cls: 0.06184 loss_rpn_loc: 0.4045 time: 3.9010 data_time: 0.8377 lr: 0.016 max_mem: 15878M [10/24 11:27:46] d2.utils.events INFO: eta: 1 day, 6:29:43 iter: 859 total_loss: 0.953 loss_cls: 0.07009 loss_box_reg: 0.4337 loss_rpn_cls: 0.05705 loss_rpn_loc: 0.3975 time: 3.8994 data_time: 0.8358 lr: 0.016 max_mem: 15878M [10/24 11:29:04] d2.utils.events INFO: eta: 1 day, 6:28:35 iter: 879 total_loss: 0.9638 loss_cls: 0.07191 loss_box_reg: 0.4563 loss_rpn_cls: 0.05211 loss_rpn_loc: 0.3705 time: 3.8997 data_time: 0.8513 lr: 0.016 max_mem: 15878M [10/24 11:30:21] d2.utils.events INFO: eta: 1 day, 6:27:20 iter: 899 total_loss: 0.9459 loss_cls: 0.07322 loss_box_reg: 0.4388 loss_rpn_cls: 0.06027 loss_rpn_loc: 0.3938 time: 3.8988 data_time: 0.8225 lr: 0.016 max_mem: 15878M [10/24 11:31:40] d2.utils.events INFO: eta: 1 day, 6:26:49 iter: 919 total_loss: 0.9381 loss_cls: 0.07341 loss_box_reg: 0.4351 loss_rpn_cls: 0.05638 loss_rpn_loc: 0.3762 time: 3.8994 data_time: 0.8501 lr: 0.016 max_mem: 15878M [10/24 11:32:56] d2.utils.events INFO: eta: 1 day, 6:25:45 iter: 939 total_loss: 0.8965 loss_cls: 0.06564 loss_box_reg: 0.3903 loss_rpn_cls: 0.05258 loss_rpn_loc: 0.372 time: 3.8980 data_time: 0.8458 lr: 0.016 max_mem: 15878M [10/24 11:34:14] d2.utils.events INFO: eta: 1 day, 6:24:18 iter: 959 total_loss: 0.9064 loss_cls: 0.07077 loss_box_reg: 0.4257 loss_rpn_cls: 0.05346 loss_rpn_loc: 0.3602 time: 3.8976 data_time: 0.8093 lr: 0.016 max_mem: 15878M [10/24 11:35:32] d2.utils.events INFO: eta: 1 day, 6:22:54 iter: 979 total_loss: 0.9552 loss_cls: 0.07006 loss_box_reg: 0.432 loss_rpn_cls: 0.05882 loss_rpn_loc: 0.3973 time: 3.8977 data_time: 0.8406 lr: 0.016 max_mem: 15878M [10/24 11:36:49] d2.utils.events INFO: eta: 1 day, 6:21:03 iter: 999 total_loss: 0.9286 loss_cls: 0.07029 loss_box_reg: 0.4041 loss_rpn_cls: 0.05599 loss_rpn_loc: 0.3697 time: 3.8970 data_time: 0.8256 lr: 0.016 max_mem: 15878M [10/24 11:38:08] d2.utils.events INFO: eta: 1 day, 6:20:09 iter: 1019 total_loss: 0.9125 loss_cls: 0.06591 loss_box_reg: 0.4061 loss_rpn_cls: 0.05106 loss_rpn_loc: 0.3802 time: 3.8979 data_time: 0.8639 lr: 0.016 max_mem: 15878M [10/24 11:39:29] d2.utils.events INFO: eta: 1 day, 6:20:05 iter: 1039 total_loss: 0.9572 loss_cls: 0.06531 loss_box_reg: 0.446 loss_rpn_cls: 0.06124 loss_rpn_loc: 0.3802 time: 3.9006 data_time: 0.8906 lr: 0.016 max_mem: 15878M [10/24 11:40:45] d2.utils.events INFO: eta: 1 day, 6:18:23 iter: 1059 total_loss: 0.8976 loss_cls: 0.06132 loss_box_reg: 0.409 loss_rpn_cls: 0.04884 loss_rpn_loc: 0.3544 time: 3.8986 data_time: 0.8247 lr: 0.016 max_mem: 15878M [10/24 11:42:05] d2.utils.events INFO: eta: 1 day, 6:18:16 iter: 1079 total_loss: 0.9002 loss_cls: 0.05957 loss_box_reg: 0.4022 loss_rpn_cls: 0.0532 loss_rpn_loc: 0.3685 time: 3.9002 data_time: 0.8664 lr: 0.016 max_mem: 15878M [10/24 11:43:22] d2.utils.events INFO: eta: 1 day, 6:16:19 iter: 1099 total_loss: 0.9997 loss_cls: 0.06985 loss_box_reg: 0.4782 loss_rpn_cls: 0.05696 loss_rpn_loc: 0.3804 time: 3.8993 data_time: 0.8208 lr: 0.016 max_mem: 15878M [10/24 11:44:41] d2.utils.events INFO: eta: 1 day, 6:15:03 iter: 1119 total_loss: 0.9328 loss_cls: 0.06768 loss_box_reg: 0.3989 loss_rpn_cls: 0.0547 loss_rpn_loc: 0.4048 time: 3.9004 data_time: 0.8389 lr: 0.016 max_mem: 15878M [10/24 11:45:57] d2.utils.events INFO: eta: 1 day, 6:14:39 iter: 1139 total_loss: 0.9573 loss_cls: 0.06956 loss_box_reg: 0.4283 loss_rpn_cls: 0.05794 loss_rpn_loc: 0.3856 time: 3.8985 data_time: 0.8408 lr: 0.016 max_mem: 15878M [10/24 11:47:17] d2.utils.events INFO: eta: 1 day, 6:13:23 iter: 1159 total_loss: 0.9803 loss_cls: 0.06962 loss_box_reg: 0.4744 loss_rpn_cls: 0.05164 loss_rpn_loc: 0.3784 time: 3.9002 data_time: 0.8680 lr: 0.016 max_mem: 15878M [10/24 11:48:35] d2.utils.events INFO: eta: 1 day, 6:12:45 iter: 1179 total_loss: 0.9504 loss_cls: 0.06718 loss_box_reg: 0.4337 loss_rpn_cls: 0.05247 loss_rpn_loc: 0.3684 time: 3.9001 data_time: 0.8458 lr: 0.016 max_mem: 15878M [10/24 11:50:00] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 11:50:00] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 11:50:00] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 11:50:00] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 11:50:01] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0372 s/iter. Eval: 0.0005 s/iter. Total: 0.0386 s/iter. ETA=0:03:22 [10/24 11:50:06] d2.evaluation.evaluator INFO: Inference done 133/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:03:31 [10/24 11:50:11] d2.evaluation.evaluator INFO: Inference done 251/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:03:29 [10/24 11:50:16] d2.evaluation.evaluator INFO: Inference done 364/5258. Dataloading: 0.0011 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0427 s/iter. ETA=0:03:28 [10/24 11:50:21] d2.evaluation.evaluator INFO: Inference done 480/5258. Dataloading: 0.0011 s/iter. Inference: 0.0412 s/iter. Eval: 0.0004 s/iter. Total: 0.0428 s/iter. ETA=0:03:24 [10/24 11:50:26] d2.evaluation.evaluator INFO: Inference done 596/5258. Dataloading: 0.0011 s/iter. Inference: 0.0413 s/iter. Eval: 0.0004 s/iter. Total: 0.0430 s/iter. ETA=0:03:20 [10/24 11:50:32] d2.evaluation.evaluator INFO: Inference done 717/5258. Dataloading: 0.0011 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0427 s/iter. ETA=0:03:13 [10/24 11:50:37] d2.evaluation.evaluator INFO: Inference done 836/5258. Dataloading: 0.0011 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:03:08 [10/24 11:50:42] d2.evaluation.evaluator INFO: Inference done 951/5258. Dataloading: 0.0011 s/iter. Inference: 0.0412 s/iter. Eval: 0.0004 s/iter. Total: 0.0428 s/iter. ETA=0:03:04 [10/24 11:50:47] d2.evaluation.evaluator INFO: Inference done 1075/5258. Dataloading: 0.0012 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:02:57 [10/24 11:50:52] d2.evaluation.evaluator INFO: Inference done 1195/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:02:52 [10/24 11:50:57] d2.evaluation.evaluator INFO: Inference done 1314/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:02:47 [10/24 11:51:02] d2.evaluation.evaluator INFO: Inference done 1427/5258. Dataloading: 0.0012 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:02:43 [10/24 11:51:07] d2.evaluation.evaluator INFO: Inference done 1546/5258. Dataloading: 0.0012 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:02:37 [10/24 11:51:12] d2.evaluation.evaluator INFO: Inference done 1665/5258. Dataloading: 0.0012 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:02:32 [10/24 11:51:17] d2.evaluation.evaluator INFO: Inference done 1787/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:02:27 [10/24 11:51:22] d2.evaluation.evaluator INFO: Inference done 1903/5258. Dataloading: 0.0012 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:02:22 [10/24 11:51:27] d2.evaluation.evaluator INFO: Inference done 2026/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:02:16 [10/24 11:51:32] d2.evaluation.evaluator INFO: Inference done 2143/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:02:12 [10/24 11:51:37] d2.evaluation.evaluator INFO: Inference done 2260/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:02:07 [10/24 11:51:42] d2.evaluation.evaluator INFO: Inference done 2379/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:02:02 [10/24 11:51:47] d2.evaluation.evaluator INFO: Inference done 2497/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:01:57 [10/24 11:51:52] d2.evaluation.evaluator INFO: Inference done 2613/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:01:52 [10/24 11:51:57] d2.evaluation.evaluator INFO: Inference done 2731/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:01:47 [10/24 11:52:02] d2.evaluation.evaluator INFO: Inference done 2851/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:01:42 [10/24 11:52:07] d2.evaluation.evaluator INFO: Inference done 2964/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:01:37 [10/24 11:52:12] d2.evaluation.evaluator INFO: Inference done 3086/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:01:32 [10/24 11:52:17] d2.evaluation.evaluator INFO: Inference done 3211/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:01:26 [10/24 11:52:22] d2.evaluation.evaluator INFO: Inference done 3321/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:01:22 [10/24 11:52:27] d2.evaluation.evaluator INFO: Inference done 3439/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:01:17 [10/24 11:52:32] d2.evaluation.evaluator INFO: Inference done 3562/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:01:11 [10/24 11:52:37] d2.evaluation.evaluator INFO: Inference done 3682/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:01:06 [10/24 11:52:42] d2.evaluation.evaluator INFO: Inference done 3800/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:01:01 [10/24 11:52:47] d2.evaluation.evaluator INFO: Inference done 3919/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:00:56 [10/24 11:52:52] d2.evaluation.evaluator INFO: Inference done 4033/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:00:52 [10/24 11:52:57] d2.evaluation.evaluator INFO: Inference done 4144/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:00:47 [10/24 11:53:02] d2.evaluation.evaluator INFO: Inference done 4259/5258. Dataloading: 0.0011 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:00:42 [10/24 11:53:07] d2.evaluation.evaluator INFO: Inference done 4370/5258. Dataloading: 0.0011 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:00:37 [10/24 11:53:12] d2.evaluation.evaluator INFO: Inference done 4488/5258. Dataloading: 0.0011 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:00:32 [10/24 11:53:17] d2.evaluation.evaluator INFO: Inference done 4602/5258. Dataloading: 0.0011 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0427 s/iter. ETA=0:00:27 [10/24 11:53:22] d2.evaluation.evaluator INFO: Inference done 4712/5258. Dataloading: 0.0011 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0427 s/iter. ETA=0:00:23 [10/24 11:53:27] d2.evaluation.evaluator INFO: Inference done 4824/5258. Dataloading: 0.0011 s/iter. Inference: 0.0412 s/iter. Eval: 0.0004 s/iter. Total: 0.0428 s/iter. ETA=0:00:18 [10/24 11:53:32] d2.evaluation.evaluator INFO: Inference done 4927/5258. Dataloading: 0.0011 s/iter. Inference: 0.0413 s/iter. Eval: 0.0004 s/iter. Total: 0.0429 s/iter. ETA=0:00:14 [10/24 11:53:37] d2.evaluation.evaluator INFO: Inference done 5045/5258. Dataloading: 0.0011 s/iter. Inference: 0.0413 s/iter. Eval: 0.0004 s/iter. Total: 0.0429 s/iter. ETA=0:00:09 [10/24 11:53:42] d2.evaluation.evaluator INFO: Inference done 5167/5258. Dataloading: 0.0011 s/iter. Inference: 0.0413 s/iter. Eval: 0.0004 s/iter. Total: 0.0429 s/iter. ETA=0:00:03 [10/24 11:53:46] d2.evaluation.evaluator INFO: Total inference time: 0:03:45.138390 (0.042859 s / iter per device, on 1 devices) [10/24 11:53:46] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:36 (0.041242 s / iter per device, on 1 devices) [10/24 11:53:46] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 11:54:44] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 11:54:44] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 11:54:44] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 11:54:44] d2.evaluation.testing INFO: copypaste: 3.6429,9.1070,2.5225 [10/24 11:54:46] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 11:54:46] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 11:54:46] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 11:54:46] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 11:54:47] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0492 s/iter. Eval: 0.0009 s/iter. Total: 0.0511 s/iter. ETA=0:04:28 [10/24 11:54:52] d2.evaluation.evaluator INFO: Inference done 103/5258. Dataloading: 0.0015 s/iter. Inference: 0.0519 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:04:40 [10/24 11:54:57] d2.evaluation.evaluator INFO: Inference done 193/5258. Dataloading: 0.0015 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:04:39 [10/24 11:55:02] d2.evaluation.evaluator INFO: Inference done 288/5258. Dataloading: 0.0014 s/iter. Inference: 0.0520 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:04:30 [10/24 11:55:07] d2.evaluation.evaluator INFO: Inference done 380/5258. Dataloading: 0.0013 s/iter. Inference: 0.0521 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:04:25 [10/24 11:55:12] d2.evaluation.evaluator INFO: Inference done 470/5258. Dataloading: 0.0013 s/iter. Inference: 0.0524 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:04:22 [10/24 11:55:17] d2.evaluation.evaluator INFO: Inference done 560/5258. Dataloading: 0.0013 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:04:17 [10/24 11:55:22] d2.evaluation.evaluator INFO: Inference done 650/5258. Dataloading: 0.0013 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0550 s/iter. ETA=0:04:13 [10/24 11:55:27] d2.evaluation.evaluator INFO: Inference done 739/5258. Dataloading: 0.0013 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:04:09 [10/24 11:55:32] d2.evaluation.evaluator INFO: Inference done 829/5258. Dataloading: 0.0013 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:04:04 [10/24 11:55:37] d2.evaluation.evaluator INFO: Inference done 919/5258. Dataloading: 0.0013 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:03:59 [10/24 11:55:42] d2.evaluation.evaluator INFO: Inference done 1011/5258. Dataloading: 0.0013 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:03:54 [10/24 11:55:47] d2.evaluation.evaluator INFO: Inference done 1099/5258. Dataloading: 0.0013 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0554 s/iter. ETA=0:03:50 [10/24 11:55:52] d2.evaluation.evaluator INFO: Inference done 1189/5258. Dataloading: 0.0013 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0554 s/iter. ETA=0:03:45 [10/24 11:55:57] d2.evaluation.evaluator INFO: Inference done 1279/5258. Dataloading: 0.0013 s/iter. Inference: 0.0532 s/iter. Eval: 0.0009 s/iter. Total: 0.0554 s/iter. ETA=0:03:40 [10/24 11:56:02] d2.evaluation.evaluator INFO: Inference done 1370/5258. Dataloading: 0.0013 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0554 s/iter. ETA=0:03:35 [10/24 11:56:07] d2.evaluation.evaluator INFO: Inference done 1461/5258. Dataloading: 0.0013 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0554 s/iter. ETA=0:03:30 [10/24 11:56:12] d2.evaluation.evaluator INFO: Inference done 1552/5258. Dataloading: 0.0013 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0554 s/iter. ETA=0:03:25 [10/24 11:56:17] d2.evaluation.evaluator INFO: Inference done 1643/5258. Dataloading: 0.0013 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0554 s/iter. ETA=0:03:20 [10/24 11:56:22] d2.evaluation.evaluator INFO: Inference done 1735/5258. Dataloading: 0.0013 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:03:14 [10/24 11:56:27] d2.evaluation.evaluator INFO: Inference done 1826/5258. Dataloading: 0.0013 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:03:09 [10/24 11:56:33] d2.evaluation.evaluator INFO: Inference done 1917/5258. Dataloading: 0.0013 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:03:04 [10/24 11:56:38] d2.evaluation.evaluator INFO: Inference done 2008/5258. Dataloading: 0.0013 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:02:59 [10/24 11:56:43] d2.evaluation.evaluator INFO: Inference done 2099/5258. Dataloading: 0.0013 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:02:54 [10/24 11:56:48] d2.evaluation.evaluator INFO: Inference done 2190/5258. Dataloading: 0.0012 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:02:49 [10/24 11:56:53] d2.evaluation.evaluator INFO: Inference done 2281/5258. Dataloading: 0.0012 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:02:44 [10/24 11:56:58] d2.evaluation.evaluator INFO: Inference done 2370/5258. Dataloading: 0.0012 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0554 s/iter. ETA=0:02:39 [10/24 11:57:03] d2.evaluation.evaluator INFO: Inference done 2461/5258. Dataloading: 0.0012 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0554 s/iter. ETA=0:02:34 [10/24 11:57:08] d2.evaluation.evaluator INFO: Inference done 2554/5258. Dataloading: 0.0012 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:02:29 [10/24 11:57:13] d2.evaluation.evaluator INFO: Inference done 2647/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:02:24 [10/24 11:57:18] d2.evaluation.evaluator INFO: Inference done 2740/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:02:19 [10/24 11:57:23] d2.evaluation.evaluator INFO: Inference done 2831/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:02:14 [10/24 11:57:28] d2.evaluation.evaluator INFO: Inference done 2924/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:02:08 [10/24 11:57:33] d2.evaluation.evaluator INFO: Inference done 3016/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:02:03 [10/24 11:57:38] d2.evaluation.evaluator INFO: Inference done 3107/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:01:58 [10/24 11:57:43] d2.evaluation.evaluator INFO: Inference done 3200/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:01:53 [10/24 11:57:48] d2.evaluation.evaluator INFO: Inference done 3293/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:01:48 [10/24 11:57:53] d2.evaluation.evaluator INFO: Inference done 3385/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:01:43 [10/24 11:57:58] d2.evaluation.evaluator INFO: Inference done 3478/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:01:38 [10/24 11:58:03] d2.evaluation.evaluator INFO: Inference done 3570/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:01:32 [10/24 11:58:08] d2.evaluation.evaluator INFO: Inference done 3662/5258. Dataloading: 0.0012 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:01:27 [10/24 11:58:13] d2.evaluation.evaluator INFO: Inference done 3752/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:01:22 [10/24 11:58:18] d2.evaluation.evaluator INFO: Inference done 3844/5258. Dataloading: 0.0012 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:01:17 [10/24 11:58:23] d2.evaluation.evaluator INFO: Inference done 3937/5258. Dataloading: 0.0012 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0550 s/iter. ETA=0:01:12 [10/24 11:58:28] d2.evaluation.evaluator INFO: Inference done 4031/5258. Dataloading: 0.0012 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0550 s/iter. ETA=0:01:07 [10/24 11:58:33] d2.evaluation.evaluator INFO: Inference done 4123/5258. Dataloading: 0.0012 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0550 s/iter. ETA=0:01:02 [10/24 11:58:38] d2.evaluation.evaluator INFO: Inference done 4215/5258. Dataloading: 0.0012 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0550 s/iter. ETA=0:00:57 [10/24 11:58:43] d2.evaluation.evaluator INFO: Inference done 4309/5258. Dataloading: 0.0012 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0550 s/iter. ETA=0:00:52 [10/24 11:58:48] d2.evaluation.evaluator INFO: Inference done 4402/5258. Dataloading: 0.0012 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:00:47 [10/24 11:58:53] d2.evaluation.evaluator INFO: Inference done 4495/5258. Dataloading: 0.0012 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:00:41 [10/24 11:58:58] d2.evaluation.evaluator INFO: Inference done 4588/5258. Dataloading: 0.0012 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:00:36 [10/24 11:59:03] d2.evaluation.evaluator INFO: Inference done 4681/5258. Dataloading: 0.0012 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:00:31 [10/24 11:59:08] d2.evaluation.evaluator INFO: Inference done 4774/5258. Dataloading: 0.0012 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:00:26 [10/24 11:59:13] d2.evaluation.evaluator INFO: Inference done 4867/5258. Dataloading: 0.0012 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:00:21 [10/24 11:59:19] d2.evaluation.evaluator INFO: Inference done 4960/5258. Dataloading: 0.0012 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:00:16 [10/24 11:59:24] d2.evaluation.evaluator INFO: Inference done 5053/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:00:11 [10/24 11:59:29] d2.evaluation.evaluator INFO: Inference done 5146/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:00:06 [10/24 11:59:34] d2.evaluation.evaluator INFO: Inference done 5239/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:00:01 [10/24 11:59:35] d2.evaluation.evaluator INFO: Total inference time: 0:04:47.904925 (0.054808 s / iter per device, on 1 devices) [10/24 11:59:35] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:36 (0.052603 s / iter per device, on 1 devices) [10/24 11:59:35] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 12:00:50] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 12:00:50] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 12:00:50] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 12:00:50] d2.evaluation.testing INFO: copypaste: 0.0005,0.0030,0.0000 [10/24 12:00:50] d2.utils.events INFO: eta: 1 day, 6:12:26 iter: 1199 total_loss: 0.908 loss_cls: 0.06508 loss_box_reg: 0.4219 loss_rpn_cls: 0.0465 loss_rpn_loc: 0.3785 time: 3.9012 data_time: 0.8393 lr: 0.016 max_mem: 15878M [10/24 12:02:05] d2.utils.events INFO: eta: 1 day, 6:12:17 iter: 1219 total_loss: 0.8212 loss_cls: 0.05445 loss_box_reg: 0.3667 loss_rpn_cls: 0.04644 loss_rpn_loc: 0.3466 time: 3.8989 data_time: 0.8290 lr: 0.016 max_mem: 15878M [10/24 12:03:21] d2.utils.events INFO: eta: 1 day, 6:11:18 iter: 1239 total_loss: 0.926 loss_cls: 0.0627 loss_box_reg: 0.4034 loss_rpn_cls: 0.05134 loss_rpn_loc: 0.4035 time: 3.8973 data_time: 0.8413 lr: 0.016 max_mem: 15878M [10/24 12:04:38] d2.utils.events INFO: eta: 1 day, 6:10:11 iter: 1259 total_loss: 0.9272 loss_cls: 0.06217 loss_box_reg: 0.4548 loss_rpn_cls: 0.04698 loss_rpn_loc: 0.3598 time: 3.8964 data_time: 0.8858 lr: 0.016 max_mem: 15878M [10/24 12:05:55] d2.utils.events INFO: eta: 1 day, 6:09:53 iter: 1279 total_loss: 0.8552 loss_cls: 0.06352 loss_box_reg: 0.4232 loss_rpn_cls: 0.04634 loss_rpn_loc: 0.353 time: 3.8953 data_time: 0.8658 lr: 0.016 max_mem: 15878M [10/24 12:07:10] d2.utils.events INFO: eta: 1 day, 6:08:04 iter: 1299 total_loss: 0.8991 loss_cls: 0.0637 loss_box_reg: 0.4233 loss_rpn_cls: 0.04894 loss_rpn_loc: 0.3489 time: 3.8936 data_time: 0.8320 lr: 0.016 max_mem: 15878M [10/24 12:08:28] d2.utils.events INFO: eta: 1 day, 6:07:01 iter: 1319 total_loss: 0.8994 loss_cls: 0.05403 loss_box_reg: 0.3998 loss_rpn_cls: 0.04855 loss_rpn_loc: 0.371 time: 3.8936 data_time: 0.8227 lr: 0.016 max_mem: 15878M [10/24 12:09:46] d2.utils.events INFO: eta: 1 day, 6:06:34 iter: 1339 total_loss: 0.9418 loss_cls: 0.0602 loss_box_reg: 0.4563 loss_rpn_cls: 0.05167 loss_rpn_loc: 0.3488 time: 3.8936 data_time: 0.8564 lr: 0.016 max_mem: 15878M [10/24 12:11:05] d2.utils.events INFO: eta: 1 day, 6:06:49 iter: 1359 total_loss: 0.9187 loss_cls: 0.0636 loss_box_reg: 0.4315 loss_rpn_cls: 0.04699 loss_rpn_loc: 0.372 time: 3.8941 data_time: 0.8651 lr: 0.016 max_mem: 15878M [10/24 12:12:26] d2.utils.events INFO: eta: 1 day, 6:07:38 iter: 1379 total_loss: 0.8992 loss_cls: 0.05764 loss_box_reg: 0.4182 loss_rpn_cls: 0.04887 loss_rpn_loc: 0.3703 time: 3.8965 data_time: 0.8604 lr: 0.016 max_mem: 15878M [10/24 12:13:42] d2.utils.events INFO: eta: 1 day, 6:06:31 iter: 1399 total_loss: 0.8411 loss_cls: 0.05601 loss_box_reg: 0.3921 loss_rpn_cls: 0.04728 loss_rpn_loc: 0.3551 time: 3.8951 data_time: 0.8429 lr: 0.016 max_mem: 15878M [10/24 12:15:00] d2.utils.events INFO: eta: 1 day, 6:05:40 iter: 1419 total_loss: 0.8856 loss_cls: 0.05458 loss_box_reg: 0.3994 loss_rpn_cls: 0.05024 loss_rpn_loc: 0.3577 time: 3.8954 data_time: 0.8618 lr: 0.016 max_mem: 15878M [10/24 12:16:17] d2.utils.events INFO: eta: 1 day, 6:04:06 iter: 1439 total_loss: 0.8952 loss_cls: 0.06495 loss_box_reg: 0.4238 loss_rpn_cls: 0.04946 loss_rpn_loc: 0.3784 time: 3.8946 data_time: 0.8316 lr: 0.016 max_mem: 15878M [10/24 12:17:33] d2.utils.events INFO: eta: 1 day, 6:02:43 iter: 1459 total_loss: 0.9173 loss_cls: 0.06312 loss_box_reg: 0.4549 loss_rpn_cls: 0.04781 loss_rpn_loc: 0.3661 time: 3.8935 data_time: 0.8484 lr: 0.016 max_mem: 15878M [10/24 12:18:52] d2.utils.events INFO: eta: 1 day, 6:01:53 iter: 1479 total_loss: 0.892 loss_cls: 0.05949 loss_box_reg: 0.4074 loss_rpn_cls: 0.04732 loss_rpn_loc: 0.3615 time: 3.8942 data_time: 0.8677 lr: 0.016 max_mem: 15878M [10/24 12:20:08] d2.utils.events INFO: eta: 1 day, 6:00:37 iter: 1499 total_loss: 0.8843 loss_cls: 0.0587 loss_box_reg: 0.429 loss_rpn_cls: 0.05007 loss_rpn_loc: 0.3441 time: 3.8930 data_time: 0.8568 lr: 0.016 max_mem: 15878M [10/24 12:21:24] d2.utils.events INFO: eta: 1 day, 5:58:52 iter: 1519 total_loss: 0.9198 loss_cls: 0.05987 loss_box_reg: 0.4109 loss_rpn_cls: 0.04983 loss_rpn_loc: 0.3706 time: 3.8915 data_time: 0.8245 lr: 0.016 max_mem: 15878M [10/24 12:22:42] d2.utils.events INFO: eta: 1 day, 5:57:13 iter: 1539 total_loss: 0.9406 loss_cls: 0.06459 loss_box_reg: 0.4439 loss_rpn_cls: 0.05144 loss_rpn_loc: 0.3662 time: 3.8915 data_time: 0.8482 lr: 0.016 max_mem: 15878M [10/24 12:23:59] d2.utils.events INFO: eta: 1 day, 5:56:02 iter: 1559 total_loss: 0.8885 loss_cls: 0.05586 loss_box_reg: 0.4439 loss_rpn_cls: 0.04924 loss_rpn_loc: 0.3418 time: 3.8914 data_time: 0.8436 lr: 0.016 max_mem: 15878M [10/24 12:25:16] d2.utils.events INFO: eta: 1 day, 5:55:04 iter: 1579 total_loss: 0.8845 loss_cls: 0.05696 loss_box_reg: 0.4233 loss_rpn_cls: 0.04361 loss_rpn_loc: 0.3572 time: 3.8907 data_time: 0.8432 lr: 0.016 max_mem: 15878M [10/24 12:26:40] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 12:26:40] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 12:26:40] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 12:26:40] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 12:26:41] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0372 s/iter. Eval: 0.0005 s/iter. Total: 0.0387 s/iter. ETA=0:03:23 [10/24 12:26:46] d2.evaluation.evaluator INFO: Inference done 127/5258. Dataloading: 0.0012 s/iter. Inference: 0.0414 s/iter. Eval: 0.0005 s/iter. Total: 0.0431 s/iter. ETA=0:03:41 [10/24 12:26:51] d2.evaluation.evaluator INFO: Inference done 244/5258. Dataloading: 0.0012 s/iter. Inference: 0.0413 s/iter. Eval: 0.0005 s/iter. Total: 0.0430 s/iter. ETA=0:03:35 [10/24 12:26:56] d2.evaluation.evaluator INFO: Inference done 353/5258. Dataloading: 0.0012 s/iter. Inference: 0.0422 s/iter. Eval: 0.0005 s/iter. Total: 0.0440 s/iter. ETA=0:03:35 [10/24 12:27:01] d2.evaluation.evaluator INFO: Inference done 472/5258. Dataloading: 0.0012 s/iter. Inference: 0.0417 s/iter. Eval: 0.0005 s/iter. Total: 0.0435 s/iter. ETA=0:03:28 [10/24 12:27:06] d2.evaluation.evaluator INFO: Inference done 589/5258. Dataloading: 0.0012 s/iter. Inference: 0.0416 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:03:22 [10/24 12:27:11] d2.evaluation.evaluator INFO: Inference done 706/5258. Dataloading: 0.0012 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0432 s/iter. ETA=0:03:16 [10/24 12:27:16] d2.evaluation.evaluator INFO: Inference done 828/5258. Dataloading: 0.0012 s/iter. Inference: 0.0412 s/iter. Eval: 0.0005 s/iter. Total: 0.0429 s/iter. ETA=0:03:10 [10/24 12:27:21] d2.evaluation.evaluator INFO: Inference done 948/5258. Dataloading: 0.0012 s/iter. Inference: 0.0411 s/iter. Eval: 0.0005 s/iter. Total: 0.0428 s/iter. ETA=0:03:04 [10/24 12:27:26] d2.evaluation.evaluator INFO: Inference done 1066/5258. Dataloading: 0.0012 s/iter. Inference: 0.0411 s/iter. Eval: 0.0005 s/iter. Total: 0.0428 s/iter. ETA=0:02:59 [10/24 12:27:31] d2.evaluation.evaluator INFO: Inference done 1185/5258. Dataloading: 0.0012 s/iter. Inference: 0.0410 s/iter. Eval: 0.0005 s/iter. Total: 0.0427 s/iter. ETA=0:02:54 [10/24 12:27:36] d2.evaluation.evaluator INFO: Inference done 1304/5258. Dataloading: 0.0012 s/iter. Inference: 0.0409 s/iter. Eval: 0.0005 s/iter. Total: 0.0427 s/iter. ETA=0:02:48 [10/24 12:27:41] d2.evaluation.evaluator INFO: Inference done 1419/5258. Dataloading: 0.0012 s/iter. Inference: 0.0410 s/iter. Eval: 0.0005 s/iter. Total: 0.0428 s/iter. ETA=0:02:44 [10/24 12:27:46] d2.evaluation.evaluator INFO: Inference done 1533/5258. Dataloading: 0.0012 s/iter. Inference: 0.0411 s/iter. Eval: 0.0005 s/iter. Total: 0.0429 s/iter. ETA=0:02:39 [10/24 12:27:51] d2.evaluation.evaluator INFO: Inference done 1649/5258. Dataloading: 0.0012 s/iter. Inference: 0.0412 s/iter. Eval: 0.0005 s/iter. Total: 0.0429 s/iter. ETA=0:02:34 [10/24 12:27:56] d2.evaluation.evaluator INFO: Inference done 1765/5258. Dataloading: 0.0012 s/iter. Inference: 0.0412 s/iter. Eval: 0.0005 s/iter. Total: 0.0429 s/iter. ETA=0:02:29 [10/24 12:28:01] d2.evaluation.evaluator INFO: Inference done 1880/5258. Dataloading: 0.0012 s/iter. Inference: 0.0412 s/iter. Eval: 0.0005 s/iter. Total: 0.0430 s/iter. ETA=0:02:25 [10/24 12:28:06] d2.evaluation.evaluator INFO: Inference done 1990/5258. Dataloading: 0.0012 s/iter. Inference: 0.0414 s/iter. Eval: 0.0005 s/iter. Total: 0.0431 s/iter. ETA=0:02:20 [10/24 12:28:11] d2.evaluation.evaluator INFO: Inference done 2102/5258. Dataloading: 0.0012 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0432 s/iter. ETA=0:02:16 [10/24 12:28:16] d2.evaluation.evaluator INFO: Inference done 2211/5258. Dataloading: 0.0012 s/iter. Inference: 0.0416 s/iter. Eval: 0.0005 s/iter. Total: 0.0434 s/iter. ETA=0:02:12 [10/24 12:28:21] d2.evaluation.evaluator INFO: Inference done 2332/5258. Dataloading: 0.0012 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:02:06 [10/24 12:28:26] d2.evaluation.evaluator INFO: Inference done 2453/5258. Dataloading: 0.0012 s/iter. Inference: 0.0414 s/iter. Eval: 0.0005 s/iter. Total: 0.0432 s/iter. ETA=0:02:01 [10/24 12:28:31] d2.evaluation.evaluator INFO: Inference done 2574/5258. Dataloading: 0.0012 s/iter. Inference: 0.0413 s/iter. Eval: 0.0005 s/iter. Total: 0.0431 s/iter. ETA=0:01:55 [10/24 12:28:36] d2.evaluation.evaluator INFO: Inference done 2689/5258. Dataloading: 0.0012 s/iter. Inference: 0.0414 s/iter. Eval: 0.0005 s/iter. Total: 0.0431 s/iter. ETA=0:01:50 [10/24 12:28:41] d2.evaluation.evaluator INFO: Inference done 2796/5258. Dataloading: 0.0012 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:01:46 [10/24 12:28:46] d2.evaluation.evaluator INFO: Inference done 2904/5258. Dataloading: 0.0012 s/iter. Inference: 0.0416 s/iter. Eval: 0.0005 s/iter. Total: 0.0434 s/iter. ETA=0:01:42 [10/24 12:28:52] d2.evaluation.evaluator INFO: Inference done 3019/5258. Dataloading: 0.0012 s/iter. Inference: 0.0416 s/iter. Eval: 0.0005 s/iter. Total: 0.0434 s/iter. ETA=0:01:37 [10/24 12:28:57] d2.evaluation.evaluator INFO: Inference done 3142/5258. Dataloading: 0.0012 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:01:31 [10/24 12:29:02] d2.evaluation.evaluator INFO: Inference done 3261/5258. Dataloading: 0.0012 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:01:26 [10/24 12:29:07] d2.evaluation.evaluator INFO: Inference done 3370/5258. Dataloading: 0.0012 s/iter. Inference: 0.0416 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:01:21 [10/24 12:29:12] d2.evaluation.evaluator INFO: Inference done 3491/5258. Dataloading: 0.0012 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:01:16 [10/24 12:29:17] d2.evaluation.evaluator INFO: Inference done 3610/5258. Dataloading: 0.0012 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0432 s/iter. ETA=0:01:11 [10/24 12:29:22] d2.evaluation.evaluator INFO: Inference done 3729/5258. Dataloading: 0.0012 s/iter. Inference: 0.0414 s/iter. Eval: 0.0005 s/iter. Total: 0.0432 s/iter. ETA=0:01:06 [10/24 12:29:27] d2.evaluation.evaluator INFO: Inference done 3847/5258. Dataloading: 0.0012 s/iter. Inference: 0.0414 s/iter. Eval: 0.0005 s/iter. Total: 0.0432 s/iter. ETA=0:01:00 [10/24 12:29:32] d2.evaluation.evaluator INFO: Inference done 3956/5258. Dataloading: 0.0012 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:00:56 [10/24 12:29:37] d2.evaluation.evaluator INFO: Inference done 4070/5258. Dataloading: 0.0012 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:00:51 [10/24 12:29:42] d2.evaluation.evaluator INFO: Inference done 4182/5258. Dataloading: 0.0012 s/iter. Inference: 0.0416 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:00:46 [10/24 12:29:47] d2.evaluation.evaluator INFO: Inference done 4303/5258. Dataloading: 0.0012 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:00:41 [10/24 12:29:52] d2.evaluation.evaluator INFO: Inference done 4416/5258. Dataloading: 0.0012 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:00:36 [10/24 12:29:57] d2.evaluation.evaluator INFO: Inference done 4537/5258. Dataloading: 0.0012 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:00:31 [10/24 12:30:02] d2.evaluation.evaluator INFO: Inference done 4659/5258. Dataloading: 0.0012 s/iter. Inference: 0.0414 s/iter. Eval: 0.0005 s/iter. Total: 0.0432 s/iter. ETA=0:00:25 [10/24 12:30:07] d2.evaluation.evaluator INFO: Inference done 4777/5258. Dataloading: 0.0012 s/iter. Inference: 0.0414 s/iter. Eval: 0.0005 s/iter. Total: 0.0432 s/iter. ETA=0:00:20 [10/24 12:30:12] d2.evaluation.evaluator INFO: Inference done 4897/5258. Dataloading: 0.0012 s/iter. Inference: 0.0414 s/iter. Eval: 0.0005 s/iter. Total: 0.0432 s/iter. ETA=0:00:15 [10/24 12:30:17] d2.evaluation.evaluator INFO: Inference done 5011/5258. Dataloading: 0.0012 s/iter. Inference: 0.0414 s/iter. Eval: 0.0005 s/iter. Total: 0.0432 s/iter. ETA=0:00:10 [10/24 12:30:22] d2.evaluation.evaluator INFO: Inference done 5120/5258. Dataloading: 0.0012 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:00:05 [10/24 12:30:27] d2.evaluation.evaluator INFO: Inference done 5235/5258. Dataloading: 0.0012 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:00:00 [10/24 12:30:28] d2.evaluation.evaluator INFO: Total inference time: 0:03:47.328439 (0.043276 s / iter per device, on 1 devices) [10/24 12:30:28] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:38 (0.041509 s / iter per device, on 1 devices) [10/24 12:30:28] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 12:31:37] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 12:31:37] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 12:31:37] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 12:31:37] d2.evaluation.testing INFO: copypaste: 3.7847,8.7564,3.0350 [10/24 12:31:39] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 12:31:39] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 12:31:39] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 12:31:39] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 12:31:40] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0011 s/iter. Inference: 0.0538 s/iter. Eval: 0.0009 s/iter. Total: 0.0558 s/iter. ETA=0:04:52 [10/24 12:31:45] d2.evaluation.evaluator INFO: Inference done 103/5258. Dataloading: 0.0012 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:04:42 [10/24 12:31:50] d2.evaluation.evaluator INFO: Inference done 193/5258. Dataloading: 0.0012 s/iter. Inference: 0.0532 s/iter. Eval: 0.0009 s/iter. Total: 0.0554 s/iter. ETA=0:04:40 [10/24 12:31:55] d2.evaluation.evaluator INFO: Inference done 283/5258. Dataloading: 0.0012 s/iter. 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ETA=0:04:09 [10/24 12:32:25] d2.evaluation.evaluator INFO: Inference done 832/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:04:04 [10/24 12:32:30] d2.evaluation.evaluator INFO: Inference done 922/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:03:59 [10/24 12:32:35] d2.evaluation.evaluator INFO: Inference done 1014/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:03:54 [10/24 12:32:40] d2.evaluation.evaluator INFO: Inference done 1106/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:03:49 [10/24 12:32:45] d2.evaluation.evaluator INFO: Inference done 1197/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:03:44 [10/24 12:32:50] d2.evaluation.evaluator INFO: Inference done 1287/5258. 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ETA=0:02:48 [10/24 12:33:46] d2.evaluation.evaluator INFO: Inference done 2293/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:02:43 [10/24 12:33:51] d2.evaluation.evaluator INFO: Inference done 2385/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:02:38 [10/24 12:33:56] d2.evaluation.evaluator INFO: Inference done 2476/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:02:33 [10/24 12:34:01] d2.evaluation.evaluator INFO: Inference done 2565/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:02:28 [10/24 12:34:06] d2.evaluation.evaluator INFO: Inference done 2656/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:02:23 [10/24 12:34:11] d2.evaluation.evaluator INFO: Inference done 2748/5258. 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Total: 0.0552 s/iter. ETA=0:00:32 [10/24 12:36:01] d2.evaluation.evaluator INFO: Inference done 4751/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:00:27 [10/24 12:36:06] d2.evaluation.evaluator INFO: Inference done 4843/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:00:22 [10/24 12:36:11] d2.evaluation.evaluator INFO: Inference done 4935/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:00:17 [10/24 12:36:17] d2.evaluation.evaluator INFO: Inference done 5026/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:00:12 [10/24 12:36:22] d2.evaluation.evaluator INFO: Inference done 5118/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:00:07 [10/24 12:36:27] d2.evaluation.evaluator INFO: Inference done 5210/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:00:02 [10/24 12:36:29] d2.evaluation.evaluator INFO: Total inference time: 0:04:49.707000 (0.055151 s / iter per device, on 1 devices) [10/24 12:36:29] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:38 (0.052929 s / iter per device, on 1 devices) [10/24 12:36:29] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 12:37:46] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 12:37:46] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 12:37:46] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 12:37:46] d2.evaluation.testing INFO: copypaste: 0.0005,0.0030,0.0000 [10/24 12:37:46] d2.utils.events INFO: eta: 1 day, 5:53:17 iter: 1599 total_loss: 0.8816 loss_cls: 0.05802 loss_box_reg: 0.4013 loss_rpn_cls: 0.04773 loss_rpn_loc: 0.3573 time: 3.8905 data_time: 0.8739 lr: 0.016 max_mem: 15878M [10/24 12:39:03] d2.utils.events INFO: eta: 1 day, 5:51:56 iter: 1619 total_loss: 0.9033 loss_cls: 0.0605 loss_box_reg: 0.4299 loss_rpn_cls: 0.04669 loss_rpn_loc: 0.3695 time: 3.8897 data_time: 0.8532 lr: 0.016 max_mem: 15878M [10/24 12:40:20] d2.utils.events INFO: eta: 1 day, 5:50:00 iter: 1639 total_loss: 0.8048 loss_cls: 0.0551 loss_box_reg: 0.3682 loss_rpn_cls: 0.04352 loss_rpn_loc: 0.3379 time: 3.8894 data_time: 0.8322 lr: 0.016 max_mem: 15878M [10/24 12:41:40] d2.utils.events INFO: eta: 1 day, 5:49:25 iter: 1659 total_loss: 0.8259 loss_cls: 0.05544 loss_box_reg: 0.4027 loss_rpn_cls: 0.04582 loss_rpn_loc: 0.3388 time: 3.8906 data_time: 0.8507 lr: 0.016 max_mem: 15878M [10/24 12:43:00] d2.utils.events INFO: eta: 1 day, 5:48:09 iter: 1679 total_loss: 0.8315 loss_cls: 0.05653 loss_box_reg: 0.4147 loss_rpn_cls: 0.04599 loss_rpn_loc: 0.3502 time: 3.8920 data_time: 0.8852 lr: 0.016 max_mem: 15878M [10/24 12:44:16] d2.utils.events INFO: eta: 1 day, 5:46:34 iter: 1699 total_loss: 0.9174 loss_cls: 0.05656 loss_box_reg: 0.4407 loss_rpn_cls: 0.04857 loss_rpn_loc: 0.3632 time: 3.8909 data_time: 0.8304 lr: 0.016 max_mem: 15878M [10/24 12:45:34] d2.utils.events INFO: eta: 1 day, 5:45:56 iter: 1719 total_loss: 0.8421 loss_cls: 0.05344 loss_box_reg: 0.3776 loss_rpn_cls: 0.04469 loss_rpn_loc: 0.3444 time: 3.8907 data_time: 0.8278 lr: 0.016 max_mem: 15878M [10/24 12:46:50] d2.utils.events INFO: eta: 1 day, 5:43:36 iter: 1739 total_loss: 0.8233 loss_cls: 0.05263 loss_box_reg: 0.3807 loss_rpn_cls: 0.04391 loss_rpn_loc: 0.3548 time: 3.8898 data_time: 0.8137 lr: 0.016 max_mem: 15878M [10/24 12:48:09] d2.utils.events INFO: eta: 1 day, 5:42:19 iter: 1759 total_loss: 0.8391 loss_cls: 0.05571 loss_box_reg: 0.3999 loss_rpn_cls: 0.04619 loss_rpn_loc: 0.349 time: 3.8903 data_time: 0.8327 lr: 0.016 max_mem: 15878M [10/24 12:49:26] d2.utils.events INFO: eta: 1 day, 5:41:34 iter: 1779 total_loss: 0.8468 loss_cls: 0.05324 loss_box_reg: 0.4004 loss_rpn_cls: 0.04391 loss_rpn_loc: 0.35 time: 3.8902 data_time: 0.8492 lr: 0.016 max_mem: 15878M [10/24 12:50:46] d2.utils.events INFO: eta: 1 day, 5:41:11 iter: 1799 total_loss: 0.9011 loss_cls: 0.05717 loss_box_reg: 0.3955 loss_rpn_cls: 0.05079 loss_rpn_loc: 0.378 time: 3.8913 data_time: 0.8718 lr: 0.016 max_mem: 15878M [10/24 12:52:02] d2.utils.events INFO: eta: 1 day, 5:39:51 iter: 1819 total_loss: 0.83 loss_cls: 0.0498 loss_box_reg: 0.3991 loss_rpn_cls: 0.04274 loss_rpn_loc: 0.3525 time: 3.8902 data_time: 0.8383 lr: 0.016 max_mem: 15878M [10/24 12:53:18] d2.utils.events INFO: eta: 1 day, 5:37:23 iter: 1839 total_loss: 0.8739 loss_cls: 0.05541 loss_box_reg: 0.4132 loss_rpn_cls: 0.04759 loss_rpn_loc: 0.3578 time: 3.8893 data_time: 0.8485 lr: 0.016 max_mem: 15878M [10/24 12:54:36] d2.utils.events INFO: eta: 1 day, 5:36:00 iter: 1859 total_loss: 0.8588 loss_cls: 0.05661 loss_box_reg: 0.3978 loss_rpn_cls: 0.04514 loss_rpn_loc: 0.3705 time: 3.8894 data_time: 0.8045 lr: 0.016 max_mem: 15878M [10/24 12:55:53] d2.utils.events INFO: eta: 1 day, 5:34:45 iter: 1879 total_loss: 0.8831 loss_cls: 0.05397 loss_box_reg: 0.4199 loss_rpn_cls: 0.04114 loss_rpn_loc: 0.3622 time: 3.8891 data_time: 0.8733 lr: 0.016 max_mem: 15878M [10/24 12:57:12] d2.utils.events INFO: eta: 1 day, 5:33:36 iter: 1899 total_loss: 0.7854 loss_cls: 0.04417 loss_box_reg: 0.3616 loss_rpn_cls: 0.0471 loss_rpn_loc: 0.3443 time: 3.8894 data_time: 0.8411 lr: 0.016 max_mem: 15878M [10/24 12:58:27] d2.utils.events INFO: eta: 1 day, 5:31:29 iter: 1919 total_loss: 0.8413 loss_cls: 0.05257 loss_box_reg: 0.3961 loss_rpn_cls: 0.04231 loss_rpn_loc: 0.3606 time: 3.8882 data_time: 0.8614 lr: 0.016 max_mem: 15878M [10/24 12:59:45] d2.utils.events INFO: eta: 1 day, 5:30:34 iter: 1939 total_loss: 0.8572 loss_cls: 0.05324 loss_box_reg: 0.4123 loss_rpn_cls: 0.0446 loss_rpn_loc: 0.3648 time: 3.8881 data_time: 0.8410 lr: 0.016 max_mem: 15878M [10/24 13:01:01] d2.utils.events INFO: eta: 1 day, 5:28:51 iter: 1959 total_loss: 0.8443 loss_cls: 0.05035 loss_box_reg: 0.3829 loss_rpn_cls: 0.0437 loss_rpn_loc: 0.3532 time: 3.8871 data_time: 0.8664 lr: 0.016 max_mem: 15878M [10/24 13:02:17] d2.utils.events INFO: eta: 1 day, 5:27:21 iter: 1979 total_loss: 0.8016 loss_cls: 0.05246 loss_box_reg: 0.3816 loss_rpn_cls: 0.04375 loss_rpn_loc: 0.3418 time: 3.8862 data_time: 0.8400 lr: 0.016 max_mem: 15878M [10/24 13:03:39] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 13:03:39] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 13:03:39] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 13:03:39] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 13:03:40] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0408 s/iter. Eval: 0.0006 s/iter. Total: 0.0423 s/iter. ETA=0:03:41 [10/24 13:03:45] d2.evaluation.evaluator INFO: Inference done 121/5258. Dataloading: 0.0013 s/iter. Inference: 0.0437 s/iter. Eval: 0.0005 s/iter. Total: 0.0455 s/iter. ETA=0:03:53 [10/24 13:03:50] d2.evaluation.evaluator INFO: Inference done 243/5258. Dataloading: 0.0013 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:03:37 [10/24 13:03:55] d2.evaluation.evaluator INFO: Inference done 362/5258. Dataloading: 0.0012 s/iter. Inference: 0.0412 s/iter. Eval: 0.0005 s/iter. Total: 0.0430 s/iter. ETA=0:03:30 [10/24 13:04:00] d2.evaluation.evaluator INFO: Inference done 479/5258. Dataloading: 0.0012 s/iter. Inference: 0.0412 s/iter. Eval: 0.0005 s/iter. Total: 0.0429 s/iter. ETA=0:03:25 [10/24 13:04:05] d2.evaluation.evaluator INFO: Inference done 600/5258. Dataloading: 0.0012 s/iter. Inference: 0.0410 s/iter. Eval: 0.0005 s/iter. Total: 0.0427 s/iter. ETA=0:03:18 [10/24 13:04:10] d2.evaluation.evaluator INFO: Inference done 713/5258. Dataloading: 0.0012 s/iter. Inference: 0.0412 s/iter. Eval: 0.0005 s/iter. Total: 0.0429 s/iter. ETA=0:03:15 [10/24 13:04:15] d2.evaluation.evaluator INFO: Inference done 830/5258. Dataloading: 0.0012 s/iter. Inference: 0.0412 s/iter. Eval: 0.0005 s/iter. Total: 0.0429 s/iter. ETA=0:03:10 [10/24 13:04:20] d2.evaluation.evaluator INFO: Inference done 947/5258. Dataloading: 0.0012 s/iter. Inference: 0.0412 s/iter. Eval: 0.0005 s/iter. Total: 0.0429 s/iter. ETA=0:03:05 [10/24 13:04:25] d2.evaluation.evaluator INFO: Inference done 1059/5258. Dataloading: 0.0012 s/iter. Inference: 0.0414 s/iter. Eval: 0.0005 s/iter. Total: 0.0431 s/iter. ETA=0:03:01 [10/24 13:04:30] d2.evaluation.evaluator INFO: Inference done 1181/5258. Dataloading: 0.0013 s/iter. Inference: 0.0411 s/iter. Eval: 0.0005 s/iter. Total: 0.0429 s/iter. ETA=0:02:55 [10/24 13:04:35] d2.evaluation.evaluator INFO: Inference done 1294/5258. Dataloading: 0.0013 s/iter. Inference: 0.0412 s/iter. Eval: 0.0005 s/iter. Total: 0.0431 s/iter. ETA=0:02:50 [10/24 13:04:40] d2.evaluation.evaluator INFO: Inference done 1406/5258. Dataloading: 0.0013 s/iter. Inference: 0.0414 s/iter. Eval: 0.0005 s/iter. Total: 0.0432 s/iter. ETA=0:02:46 [10/24 13:04:45] d2.evaluation.evaluator INFO: Inference done 1527/5258. Dataloading: 0.0013 s/iter. Inference: 0.0412 s/iter. Eval: 0.0005 s/iter. Total: 0.0430 s/iter. ETA=0:02:40 [10/24 13:04:50] d2.evaluation.evaluator INFO: Inference done 1648/5258. 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ETA=0:01:42 [10/24 13:05:45] d2.evaluation.evaluator INFO: Inference done 2966/5258. Dataloading: 0.0012 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:01:37 [10/24 13:05:50] d2.evaluation.evaluator INFO: Inference done 3085/5258. Dataloading: 0.0012 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:01:32 [10/24 13:05:55] d2.evaluation.evaluator INFO: Inference done 3199/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:01:27 [10/24 13:06:00] d2.evaluation.evaluator INFO: Inference done 3318/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:01:22 [10/24 13:06:05] d2.evaluation.evaluator INFO: Inference done 3440/5258. Dataloading: 0.0012 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:01:17 [10/24 13:06:10] d2.evaluation.evaluator INFO: Inference done 3554/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:01:12 [10/24 13:06:15] d2.evaluation.evaluator INFO: Inference done 3674/5258. Dataloading: 0.0012 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:01:07 [10/24 13:06:20] d2.evaluation.evaluator INFO: Inference done 3798/5258. Dataloading: 0.0012 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:01:01 [10/24 13:06:25] d2.evaluation.evaluator INFO: Inference done 3913/5258. Dataloading: 0.0012 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:00:57 [10/24 13:06:31] d2.evaluation.evaluator INFO: Inference done 4029/5258. Dataloading: 0.0012 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:00:52 [10/24 13:06:36] d2.evaluation.evaluator INFO: Inference done 4149/5258. Dataloading: 0.0012 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:00:47 [10/24 13:06:41] d2.evaluation.evaluator INFO: Inference done 4263/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:00:42 [10/24 13:06:46] d2.evaluation.evaluator INFO: Inference done 4380/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:00:37 [10/24 13:06:51] d2.evaluation.evaluator INFO: Inference done 4493/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0426 s/iter. ETA=0:00:32 [10/24 13:06:56] d2.evaluation.evaluator INFO: Inference done 4607/5258. Dataloading: 0.0012 s/iter. Inference: 0.0409 s/iter. Eval: 0.0005 s/iter. Total: 0.0426 s/iter. ETA=0:00:27 [10/24 13:07:01] d2.evaluation.evaluator INFO: Inference done 4726/5258. Dataloading: 0.0012 s/iter. Inference: 0.0409 s/iter. Eval: 0.0005 s/iter. Total: 0.0426 s/iter. ETA=0:00:22 [10/24 13:07:06] d2.evaluation.evaluator INFO: Inference done 4847/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:00:17 [10/24 13:07:11] d2.evaluation.evaluator INFO: Inference done 4963/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0426 s/iter. ETA=0:00:12 [10/24 13:07:16] d2.evaluation.evaluator INFO: Inference done 5085/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:00:07 [10/24 13:07:21] d2.evaluation.evaluator INFO: Inference done 5207/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:00:02 [10/24 13:07:23] d2.evaluation.evaluator INFO: Total inference time: 0:03:43.242180 (0.042498 s / iter per device, on 1 devices) [10/24 13:07:23] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:34 (0.040767 s / iter per device, on 1 devices) [10/24 13:07:23] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 13:08:27] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 13:08:27] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 13:08:27] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 13:08:27] d2.evaluation.testing INFO: copypaste: 4.3411,10.5966,3.2660 [10/24 13:08:29] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 13:08:29] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 13:08:29] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 13:08:29] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 13:08:30] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0517 s/iter. Eval: 0.0009 s/iter. Total: 0.0536 s/iter. ETA=0:04:41 [10/24 13:08:35] d2.evaluation.evaluator INFO: Inference done 102/5258. Dataloading: 0.0012 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:04:44 [10/24 13:08:40] d2.evaluation.evaluator INFO: Inference done 192/5258. Dataloading: 0.0012 s/iter. Inference: 0.0534 s/iter. Eval: 0.0009 s/iter. Total: 0.0555 s/iter. ETA=0:04:41 [10/24 13:08:45] d2.evaluation.evaluator INFO: Inference done 283/5258. Dataloading: 0.0011 s/iter. 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ETA=0:04:09 [10/24 13:09:16] d2.evaluation.evaluator INFO: Inference done 831/5258. Dataloading: 0.0011 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:04:04 [10/24 13:09:21] d2.evaluation.evaluator INFO: Inference done 923/5258. Dataloading: 0.0011 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:03:59 [10/24 13:09:26] d2.evaluation.evaluator INFO: Inference done 1014/5258. Dataloading: 0.0011 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:03:54 [10/24 13:09:31] d2.evaluation.evaluator INFO: Inference done 1107/5258. Dataloading: 0.0011 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:03:48 [10/24 13:09:36] d2.evaluation.evaluator INFO: Inference done 1199/5258. Dataloading: 0.0011 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0550 s/iter. ETA=0:03:43 [10/24 13:09:41] d2.evaluation.evaluator INFO: Inference done 1290/5258. 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ETA=0:02:47 [10/24 13:10:36] d2.evaluation.evaluator INFO: Inference done 2302/5258. Dataloading: 0.0011 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:02:42 [10/24 13:10:41] d2.evaluation.evaluator INFO: Inference done 2394/5258. Dataloading: 0.0011 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:02:37 [10/24 13:10:46] d2.evaluation.evaluator INFO: Inference done 2486/5258. Dataloading: 0.0011 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:02:32 [10/24 13:10:51] d2.evaluation.evaluator INFO: Inference done 2577/5258. Dataloading: 0.0011 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:02:27 [10/24 13:10:56] d2.evaluation.evaluator INFO: Inference done 2669/5258. Dataloading: 0.0011 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:02:22 [10/24 13:11:01] d2.evaluation.evaluator INFO: Inference done 2761/5258. 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ETA=0:01:26 [10/24 13:11:56] d2.evaluation.evaluator INFO: Inference done 3763/5258. Dataloading: 0.0011 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:01:22 [10/24 13:12:01] d2.evaluation.evaluator INFO: Inference done 3856/5258. Dataloading: 0.0011 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:01:16 [10/24 13:12:06] d2.evaluation.evaluator INFO: Inference done 3946/5258. Dataloading: 0.0011 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:01:12 [10/24 13:12:11] d2.evaluation.evaluator INFO: Inference done 4039/5258. Dataloading: 0.0011 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:01:06 [10/24 13:12:17] d2.evaluation.evaluator INFO: Inference done 4131/5258. Dataloading: 0.0011 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:01:01 [10/24 13:12:22] d2.evaluation.evaluator INFO: Inference done 4223/5258. Dataloading: 0.0011 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:00:56 [10/24 13:12:27] d2.evaluation.evaluator INFO: Inference done 4315/5258. Dataloading: 0.0011 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:00:51 [10/24 13:12:32] d2.evaluation.evaluator INFO: Inference done 4406/5258. Dataloading: 0.0011 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:00:46 [10/24 13:12:37] d2.evaluation.evaluator INFO: Inference done 4498/5258. Dataloading: 0.0011 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:00:41 [10/24 13:12:42] d2.evaluation.evaluator INFO: Inference done 4590/5258. Dataloading: 0.0011 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:00:36 [10/24 13:12:47] d2.evaluation.evaluator INFO: Inference done 4682/5258. Dataloading: 0.0011 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:00:31 [10/24 13:12:52] d2.evaluation.evaluator INFO: Inference done 4774/5258. Dataloading: 0.0011 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:00:26 [10/24 13:12:57] d2.evaluation.evaluator INFO: Inference done 4868/5258. Dataloading: 0.0011 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:00:21 [10/24 13:13:02] d2.evaluation.evaluator INFO: Inference done 4961/5258. Dataloading: 0.0011 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:00:16 [10/24 13:13:07] d2.evaluation.evaluator INFO: Inference done 5055/5258. Dataloading: 0.0011 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:00:11 [10/24 13:13:12] d2.evaluation.evaluator INFO: Inference done 5146/5258. Dataloading: 0.0011 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:00:06 [10/24 13:13:17] d2.evaluation.evaluator INFO: Inference done 5238/5258. Dataloading: 0.0011 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:00:01 [10/24 13:13:18] d2.evaluation.evaluator INFO: Total inference time: 0:04:48.102401 (0.054845 s / iter per device, on 1 devices) [10/24 13:13:18] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:37 (0.052738 s / iter per device, on 1 devices) [10/24 13:13:18] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 13:14:37] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 13:14:37] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 13:14:37] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 13:14:37] d2.evaluation.testing INFO: copypaste: 0.0005,0.0030,0.0000 [10/24 13:14:37] d2.utils.events INFO: eta: 1 day, 5:26:08 iter: 1999 total_loss: 0.8076 loss_cls: 0.05011 loss_box_reg: 0.3624 loss_rpn_cls: 0.04065 loss_rpn_loc: 0.3532 time: 3.8852 data_time: 0.8251 lr: 0.016 max_mem: 15878M [10/24 13:15:55] d2.utils.events INFO: eta: 1 day, 5:25:04 iter: 2019 total_loss: 0.8328 loss_cls: 0.05159 loss_box_reg: 0.3898 loss_rpn_cls: 0.04155 loss_rpn_loc: 0.3439 time: 3.8852 data_time: 0.8951 lr: 0.016 max_mem: 15878M [10/24 13:17:11] d2.utils.events INFO: eta: 1 day, 5:22:47 iter: 2039 total_loss: 0.8223 loss_cls: 0.05431 loss_box_reg: 0.4036 loss_rpn_cls: 0.04251 loss_rpn_loc: 0.3327 time: 3.8842 data_time: 0.8147 lr: 0.016 max_mem: 15878M [10/24 13:18:27] d2.utils.events INFO: eta: 1 day, 5:22:03 iter: 2059 total_loss: 0.8766 loss_cls: 0.05383 loss_box_reg: 0.4188 loss_rpn_cls: 0.04429 loss_rpn_loc: 0.3537 time: 3.8835 data_time: 0.8328 lr: 0.016 max_mem: 15878M [10/24 13:19:43] d2.utils.events INFO: eta: 1 day, 5:20:47 iter: 2079 total_loss: 0.7532 loss_cls: 0.0481 loss_box_reg: 0.3633 loss_rpn_cls: 0.03907 loss_rpn_loc: 0.332 time: 3.8826 data_time: 0.8414 lr: 0.016 max_mem: 15878M [10/24 13:20:59] d2.utils.events INFO: eta: 1 day, 5:19:17 iter: 2099 total_loss: 0.8342 loss_cls: 0.04964 loss_box_reg: 0.3983 loss_rpn_cls: 0.04173 loss_rpn_loc: 0.3365 time: 3.8818 data_time: 0.8518 lr: 0.016 max_mem: 15878M [10/24 13:22:14] d2.utils.events INFO: eta: 1 day, 5:17:07 iter: 2119 total_loss: 0.8869 loss_cls: 0.05653 loss_box_reg: 0.3976 loss_rpn_cls: 0.04445 loss_rpn_loc: 0.3665 time: 3.8805 data_time: 0.8233 lr: 0.016 max_mem: 15878M [10/24 13:23:31] d2.utils.events INFO: eta: 1 day, 5:15:49 iter: 2139 total_loss: 0.8561 loss_cls: 0.04733 loss_box_reg: 0.4122 loss_rpn_cls: 0.04048 loss_rpn_loc: 0.3435 time: 3.8802 data_time: 0.8394 lr: 0.016 max_mem: 15878M [10/24 13:24:49] d2.utils.events INFO: eta: 1 day, 5:14:57 iter: 2159 total_loss: 0.8041 loss_cls: 0.04816 loss_box_reg: 0.3752 loss_rpn_cls: 0.03599 loss_rpn_loc: 0.3228 time: 3.8803 data_time: 0.8285 lr: 0.016 max_mem: 15878M [10/24 13:26:07] d2.utils.events INFO: eta: 1 day, 5:13:41 iter: 2179 total_loss: 0.8402 loss_cls: 0.05122 loss_box_reg: 0.3964 loss_rpn_cls: 0.04566 loss_rpn_loc: 0.3436 time: 3.8806 data_time: 0.8445 lr: 0.016 max_mem: 15878M [10/24 13:27:25] d2.utils.events INFO: eta: 1 day, 5:12:08 iter: 2199 total_loss: 0.8059 loss_cls: 0.04695 loss_box_reg: 0.3553 loss_rpn_cls: 0.03839 loss_rpn_loc: 0.3305 time: 3.8808 data_time: 0.8231 lr: 0.016 max_mem: 15878M [10/24 13:29:04] d2.utils.events INFO: eta: 1 day, 5:13:12 iter: 2219 total_loss: 0.8477 loss_cls: 0.05472 loss_box_reg: 0.4176 loss_rpn_cls: 0.04217 loss_rpn_loc: 0.366 time: 3.8902 data_time: 0.8888 lr: 0.016 max_mem: 15878M [10/24 13:30:49] d2.utils.events INFO: eta: 1 day, 5:12:27 iter: 2239 total_loss: 0.8745 loss_cls: 0.05596 loss_box_reg: 0.3926 loss_rpn_cls: 0.04476 loss_rpn_loc: 0.3611 time: 3.9024 data_time: 0.8603 lr: 0.016 max_mem: 15878M [10/24 13:32:25] d2.utils.events INFO: eta: 1 day, 5:11:20 iter: 2259 total_loss: 0.8511 loss_cls: 0.05312 loss_box_reg: 0.3821 loss_rpn_cls: 0.04489 loss_rpn_loc: 0.3472 time: 3.9104 data_time: 0.8748 lr: 0.016 max_mem: 15878M [10/24 13:33:41] d2.utils.events INFO: eta: 1 day, 5:09:46 iter: 2279 total_loss: 0.7972 loss_cls: 0.04817 loss_box_reg: 0.3731 loss_rpn_cls: 0.04303 loss_rpn_loc: 0.3218 time: 3.9094 data_time: 0.8515 lr: 0.016 max_mem: 15878M [10/24 13:34:58] d2.utils.events INFO: eta: 1 day, 5:08:58 iter: 2299 total_loss: 0.8882 loss_cls: 0.05382 loss_box_reg: 0.4044 loss_rpn_cls: 0.04752 loss_rpn_loc: 0.3567 time: 3.9091 data_time: 0.8624 lr: 0.016 max_mem: 15878M [10/24 13:36:14] d2.utils.events INFO: eta: 1 day, 5:07:42 iter: 2319 total_loss: 0.8715 loss_cls: 0.05337 loss_box_reg: 0.3968 loss_rpn_cls: 0.04168 loss_rpn_loc: 0.3627 time: 3.9082 data_time: 0.8253 lr: 0.016 max_mem: 15878M [10/24 13:37:30] d2.utils.events INFO: eta: 1 day, 5:05:50 iter: 2339 total_loss: 0.7759 loss_cls: 0.05134 loss_box_reg: 0.3692 loss_rpn_cls: 0.03792 loss_rpn_loc: 0.3343 time: 3.9071 data_time: 0.8095 lr: 0.016 max_mem: 15878M [10/24 13:38:48] d2.utils.events INFO: eta: 1 day, 5:02:54 iter: 2359 total_loss: 0.8261 loss_cls: 0.05108 loss_box_reg: 0.3764 loss_rpn_cls: 0.04559 loss_rpn_loc: 0.3516 time: 3.9068 data_time: 0.8361 lr: 0.016 max_mem: 15878M [10/24 13:40:06] d2.utils.events INFO: eta: 1 day, 5:00:45 iter: 2379 total_loss: 0.8268 loss_cls: 0.04553 loss_box_reg: 0.4106 loss_rpn_cls: 0.03642 loss_rpn_loc: 0.3287 time: 3.9070 data_time: 0.8224 lr: 0.016 max_mem: 15878M [10/24 13:41:28] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 13:41:28] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 13:41:28] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 13:41:28] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 13:41:29] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0012 s/iter. Inference: 0.0464 s/iter. Eval: 0.0005 s/iter. Total: 0.0481 s/iter. ETA=0:04:12 [10/24 13:41:34] d2.evaluation.evaluator INFO: Inference done 126/5258. Dataloading: 0.0012 s/iter. Inference: 0.0421 s/iter. Eval: 0.0005 s/iter. Total: 0.0439 s/iter. ETA=0:03:45 [10/24 13:41:39] d2.evaluation.evaluator INFO: Inference done 244/5258. Dataloading: 0.0012 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0432 s/iter. ETA=0:03:36 [10/24 13:41:44] d2.evaluation.evaluator INFO: Inference done 370/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:03:25 [10/24 13:41:49] d2.evaluation.evaluator INFO: Inference done 488/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:03:21 [10/24 13:41:54] d2.evaluation.evaluator INFO: Inference done 606/5258. Dataloading: 0.0012 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:03:16 [10/24 13:41:59] d2.evaluation.evaluator INFO: Inference done 725/5258. Dataloading: 0.0012 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:03:11 [10/24 13:42:04] d2.evaluation.evaluator INFO: Inference done 838/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0005 s/iter. Total: 0.0426 s/iter. ETA=0:03:08 [10/24 13:42:09] d2.evaluation.evaluator INFO: Inference done 937/5258. Dataloading: 0.0012 s/iter. Inference: 0.0418 s/iter. Eval: 0.0005 s/iter. Total: 0.0434 s/iter. ETA=0:03:07 [10/24 13:42:14] d2.evaluation.evaluator INFO: Inference done 1054/5258. Dataloading: 0.0012 s/iter. Inference: 0.0417 s/iter. Eval: 0.0005 s/iter. Total: 0.0434 s/iter. ETA=0:03:02 [10/24 13:42:19] d2.evaluation.evaluator INFO: Inference done 1173/5258. Dataloading: 0.0012 s/iter. Inference: 0.0416 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:02:56 [10/24 13:42:24] d2.evaluation.evaluator INFO: Inference done 1282/5258. Dataloading: 0.0012 s/iter. Inference: 0.0418 s/iter. Eval: 0.0005 s/iter. Total: 0.0435 s/iter. ETA=0:02:52 [10/24 13:42:29] d2.evaluation.evaluator INFO: Inference done 1393/5258. Dataloading: 0.0012 s/iter. Inference: 0.0420 s/iter. Eval: 0.0005 s/iter. Total: 0.0436 s/iter. ETA=0:02:48 [10/24 13:42:34] d2.evaluation.evaluator INFO: Inference done 1507/5258. Dataloading: 0.0012 s/iter. Inference: 0.0420 s/iter. Eval: 0.0005 s/iter. Total: 0.0437 s/iter. ETA=0:02:43 [10/24 13:42:39] d2.evaluation.evaluator INFO: Inference done 1620/5258. Dataloading: 0.0012 s/iter. Inference: 0.0421 s/iter. Eval: 0.0005 s/iter. Total: 0.0437 s/iter. ETA=0:02:39 [10/24 13:42:44] d2.evaluation.evaluator INFO: Inference done 1735/5258. Dataloading: 0.0012 s/iter. Inference: 0.0421 s/iter. Eval: 0.0005 s/iter. Total: 0.0437 s/iter. ETA=0:02:34 [10/24 13:42:49] d2.evaluation.evaluator INFO: Inference done 1844/5258. Dataloading: 0.0012 s/iter. Inference: 0.0422 s/iter. Eval: 0.0005 s/iter. Total: 0.0439 s/iter. ETA=0:02:29 [10/24 13:42:54] d2.evaluation.evaluator INFO: Inference done 1949/5258. Dataloading: 0.0012 s/iter. Inference: 0.0424 s/iter. Eval: 0.0005 s/iter. Total: 0.0441 s/iter. ETA=0:02:25 [10/24 13:42:59] d2.evaluation.evaluator INFO: Inference done 2063/5258. Dataloading: 0.0012 s/iter. Inference: 0.0424 s/iter. Eval: 0.0005 s/iter. Total: 0.0441 s/iter. ETA=0:02:20 [10/24 13:43:04] d2.evaluation.evaluator INFO: Inference done 2173/5258. Dataloading: 0.0012 s/iter. Inference: 0.0425 s/iter. Eval: 0.0005 s/iter. Total: 0.0442 s/iter. ETA=0:02:16 [10/24 13:43:09] d2.evaluation.evaluator INFO: Inference done 2292/5258. Dataloading: 0.0011 s/iter. Inference: 0.0424 s/iter. Eval: 0.0005 s/iter. Total: 0.0440 s/iter. ETA=0:02:10 [10/24 13:43:14] d2.evaluation.evaluator INFO: Inference done 2404/5258. Dataloading: 0.0011 s/iter. Inference: 0.0424 s/iter. Eval: 0.0005 s/iter. Total: 0.0441 s/iter. ETA=0:02:05 [10/24 13:43:19] d2.evaluation.evaluator INFO: Inference done 2517/5258. Dataloading: 0.0011 s/iter. Inference: 0.0425 s/iter. Eval: 0.0005 s/iter. Total: 0.0441 s/iter. ETA=0:02:00 [10/24 13:43:24] d2.evaluation.evaluator INFO: Inference done 2635/5258. Dataloading: 0.0011 s/iter. Inference: 0.0424 s/iter. Eval: 0.0005 s/iter. Total: 0.0440 s/iter. ETA=0:01:55 [10/24 13:43:29] d2.evaluation.evaluator INFO: Inference done 2748/5258. Dataloading: 0.0011 s/iter. Inference: 0.0424 s/iter. Eval: 0.0005 s/iter. Total: 0.0441 s/iter. ETA=0:01:50 [10/24 13:43:34] d2.evaluation.evaluator INFO: Inference done 2857/5258. Dataloading: 0.0011 s/iter. Inference: 0.0425 s/iter. Eval: 0.0005 s/iter. Total: 0.0441 s/iter. ETA=0:01:45 [10/24 13:43:39] d2.evaluation.evaluator INFO: Inference done 2969/5258. Dataloading: 0.0011 s/iter. Inference: 0.0425 s/iter. Eval: 0.0005 s/iter. Total: 0.0442 s/iter. ETA=0:01:41 [10/24 13:43:44] d2.evaluation.evaluator INFO: Inference done 3081/5258. Dataloading: 0.0011 s/iter. Inference: 0.0426 s/iter. Eval: 0.0005 s/iter. Total: 0.0442 s/iter. ETA=0:01:36 [10/24 13:43:50] d2.evaluation.evaluator INFO: Inference done 3193/5258. Dataloading: 0.0011 s/iter. Inference: 0.0426 s/iter. Eval: 0.0005 s/iter. Total: 0.0442 s/iter. ETA=0:01:31 [10/24 13:43:55] d2.evaluation.evaluator INFO: Inference done 3308/5258. Dataloading: 0.0011 s/iter. Inference: 0.0426 s/iter. Eval: 0.0005 s/iter. Total: 0.0442 s/iter. ETA=0:01:26 [10/24 13:44:00] d2.evaluation.evaluator INFO: Inference done 3423/5258. Dataloading: 0.0011 s/iter. Inference: 0.0425 s/iter. Eval: 0.0005 s/iter. Total: 0.0442 s/iter. ETA=0:01:21 [10/24 13:44:05] d2.evaluation.evaluator INFO: Inference done 3538/5258. Dataloading: 0.0011 s/iter. Inference: 0.0425 s/iter. Eval: 0.0005 s/iter. Total: 0.0442 s/iter. ETA=0:01:15 [10/24 13:44:10] d2.evaluation.evaluator INFO: Inference done 3643/5258. Dataloading: 0.0011 s/iter. Inference: 0.0426 s/iter. Eval: 0.0005 s/iter. Total: 0.0443 s/iter. ETA=0:01:11 [10/24 13:44:15] d2.evaluation.evaluator INFO: Inference done 3762/5258. Dataloading: 0.0011 s/iter. Inference: 0.0426 s/iter. Eval: 0.0005 s/iter. Total: 0.0442 s/iter. ETA=0:01:06 [10/24 13:44:20] d2.evaluation.evaluator INFO: Inference done 3875/5258. Dataloading: 0.0011 s/iter. Inference: 0.0426 s/iter. Eval: 0.0005 s/iter. Total: 0.0442 s/iter. ETA=0:01:01 [10/24 13:44:25] d2.evaluation.evaluator INFO: Inference done 3986/5258. Dataloading: 0.0011 s/iter. Inference: 0.0426 s/iter. Eval: 0.0005 s/iter. Total: 0.0442 s/iter. ETA=0:00:56 [10/24 13:44:30] d2.evaluation.evaluator INFO: Inference done 4096/5258. Dataloading: 0.0011 s/iter. Inference: 0.0426 s/iter. Eval: 0.0005 s/iter. Total: 0.0443 s/iter. ETA=0:00:51 [10/24 13:44:35] d2.evaluation.evaluator INFO: Inference done 4210/5258. Dataloading: 0.0011 s/iter. Inference: 0.0426 s/iter. Eval: 0.0005 s/iter. Total: 0.0443 s/iter. ETA=0:00:46 [10/24 13:44:40] d2.evaluation.evaluator INFO: Inference done 4331/5258. Dataloading: 0.0011 s/iter. Inference: 0.0426 s/iter. Eval: 0.0005 s/iter. Total: 0.0442 s/iter. ETA=0:00:40 [10/24 13:44:45] d2.evaluation.evaluator INFO: Inference done 4441/5258. Dataloading: 0.0011 s/iter. Inference: 0.0426 s/iter. Eval: 0.0005 s/iter. Total: 0.0442 s/iter. ETA=0:00:36 [10/24 13:44:50] d2.evaluation.evaluator INFO: Inference done 4558/5258. Dataloading: 0.0011 s/iter. Inference: 0.0426 s/iter. Eval: 0.0005 s/iter. Total: 0.0442 s/iter. ETA=0:00:30 [10/24 13:44:55] d2.evaluation.evaluator INFO: Inference done 4664/5258. Dataloading: 0.0011 s/iter. Inference: 0.0426 s/iter. Eval: 0.0005 s/iter. Total: 0.0443 s/iter. ETA=0:00:26 [10/24 13:45:00] d2.evaluation.evaluator INFO: Inference done 4781/5258. Dataloading: 0.0011 s/iter. Inference: 0.0426 s/iter. Eval: 0.0005 s/iter. Total: 0.0442 s/iter. ETA=0:00:21 [10/24 13:45:05] d2.evaluation.evaluator INFO: Inference done 4896/5258. Dataloading: 0.0011 s/iter. Inference: 0.0426 s/iter. Eval: 0.0005 s/iter. Total: 0.0442 s/iter. ETA=0:00:16 [10/24 13:45:10] d2.evaluation.evaluator INFO: Inference done 5011/5258. Dataloading: 0.0011 s/iter. Inference: 0.0426 s/iter. Eval: 0.0005 s/iter. Total: 0.0442 s/iter. ETA=0:00:10 [10/24 13:45:15] d2.evaluation.evaluator INFO: Inference done 5129/5258. Dataloading: 0.0011 s/iter. Inference: 0.0426 s/iter. Eval: 0.0005 s/iter. Total: 0.0442 s/iter. ETA=0:00:05 [10/24 13:45:20] d2.evaluation.evaluator INFO: Inference done 5241/5258. Dataloading: 0.0011 s/iter. Inference: 0.0426 s/iter. Eval: 0.0005 s/iter. Total: 0.0442 s/iter. ETA=0:00:00 [10/24 13:45:21] d2.evaluation.evaluator INFO: Total inference time: 0:03:52.210952 (0.044205 s / iter per device, on 1 devices) [10/24 13:45:21] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:43 (0.042564 s / iter per device, on 1 devices) [10/24 13:45:21] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 13:46:22] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 13:46:22] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 13:46:22] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 13:46:22] d2.evaluation.testing INFO: copypaste: 3.9254,9.0670,3.0686 [10/24 13:46:24] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 13:46:24] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 13:46:24] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 13:46:24] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 13:46:25] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0524 s/iter. Eval: 0.0009 s/iter. Total: 0.0543 s/iter. ETA=0:04:44 [10/24 13:46:30] d2.evaluation.evaluator INFO: Inference done 102/5258. Dataloading: 0.0012 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0550 s/iter. ETA=0:04:43 [10/24 13:46:35] d2.evaluation.evaluator INFO: Inference done 194/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:04:37 [10/24 13:46:40] d2.evaluation.evaluator INFO: Inference done 282/5258. Dataloading: 0.0012 s/iter. Inference: 0.0534 s/iter. Eval: 0.0009 s/iter. Total: 0.0556 s/iter. ETA=0:04:36 [10/24 13:46:45] d2.evaluation.evaluator INFO: Inference done 378/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:04:27 [10/24 13:46:50] d2.evaluation.evaluator INFO: Inference done 472/5258. Dataloading: 0.0012 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0545 s/iter. ETA=0:04:20 [10/24 13:46:55] d2.evaluation.evaluator INFO: Inference done 563/5258. Dataloading: 0.0012 s/iter. Inference: 0.0525 s/iter. Eval: 0.0009 s/iter. Total: 0.0547 s/iter. ETA=0:04:16 [10/24 13:47:00] d2.evaluation.evaluator INFO: Inference done 654/5258. Dataloading: 0.0012 s/iter. Inference: 0.0526 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:04:12 [10/24 13:47:05] d2.evaluation.evaluator INFO: Inference done 742/5258. Dataloading: 0.0012 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0550 s/iter. ETA=0:04:08 [10/24 13:47:10] d2.evaluation.evaluator INFO: Inference done 831/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:04:04 [10/24 13:47:15] d2.evaluation.evaluator INFO: Inference done 920/5258. Dataloading: 0.0012 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:03:59 [10/24 13:47:20] d2.evaluation.evaluator INFO: Inference done 1011/5258. Dataloading: 0.0012 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:03:54 [10/24 13:47:25] d2.evaluation.evaluator INFO: Inference done 1102/5258. Dataloading: 0.0012 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:03:49 [10/24 13:47:30] d2.evaluation.evaluator INFO: Inference done 1193/5258. Dataloading: 0.0012 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:03:44 [10/24 13:47:36] d2.evaluation.evaluator INFO: Inference done 1284/5258. Dataloading: 0.0012 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:03:39 [10/24 13:47:41] d2.evaluation.evaluator INFO: Inference done 1375/5258. Dataloading: 0.0012 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:03:34 [10/24 13:47:46] d2.evaluation.evaluator INFO: Inference done 1463/5258. Dataloading: 0.0012 s/iter. Inference: 0.0532 s/iter. Eval: 0.0009 s/iter. Total: 0.0554 s/iter. ETA=0:03:30 [10/24 13:47:51] d2.evaluation.evaluator INFO: Inference done 1554/5258. Dataloading: 0.0012 s/iter. Inference: 0.0532 s/iter. Eval: 0.0009 s/iter. Total: 0.0554 s/iter. ETA=0:03:25 [10/24 13:47:56] d2.evaluation.evaluator INFO: Inference done 1647/5258. Dataloading: 0.0012 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:03:19 [10/24 13:48:01] d2.evaluation.evaluator INFO: Inference done 1741/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:03:14 [10/24 13:48:06] d2.evaluation.evaluator INFO: Inference done 1832/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:03:09 [10/24 13:48:11] d2.evaluation.evaluator INFO: Inference done 1923/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:03:04 [10/24 13:48:16] d2.evaluation.evaluator INFO: Inference done 2013/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:02:59 [10/24 13:48:21] d2.evaluation.evaluator INFO: Inference done 2105/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:02:54 [10/24 13:48:26] d2.evaluation.evaluator INFO: Inference done 2196/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:02:49 [10/24 13:48:31] d2.evaluation.evaluator INFO: Inference done 2287/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:02:44 [10/24 13:48:36] d2.evaluation.evaluator INFO: Inference done 2379/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:02:38 [10/24 13:48:41] d2.evaluation.evaluator INFO: Inference done 2471/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:02:33 [10/24 13:48:46] d2.evaluation.evaluator INFO: Inference done 2563/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:02:28 [10/24 13:48:51] d2.evaluation.evaluator INFO: Inference done 2653/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:02:23 [10/24 13:48:56] d2.evaluation.evaluator INFO: Inference done 2746/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:02:18 [10/24 13:49:01] d2.evaluation.evaluator INFO: Inference done 2839/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:02:13 [10/24 13:49:06] d2.evaluation.evaluator INFO: Inference done 2932/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:02:08 [10/24 13:49:11] d2.evaluation.evaluator INFO: Inference done 3023/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:02:03 [10/24 13:49:16] d2.evaluation.evaluator INFO: Inference done 3114/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:01:58 [10/24 13:49:21] d2.evaluation.evaluator INFO: Inference done 3202/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:01:53 [10/24 13:49:26] d2.evaluation.evaluator INFO: Inference done 3294/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:01:48 [10/24 13:49:31] d2.evaluation.evaluator INFO: Inference done 3384/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:01:43 [10/24 13:49:36] d2.evaluation.evaluator INFO: Inference done 3476/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:01:38 [10/24 13:49:41] d2.evaluation.evaluator INFO: Inference done 3567/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:01:33 [10/24 13:49:46] d2.evaluation.evaluator INFO: Inference done 3659/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:01:28 [10/24 13:49:51] d2.evaluation.evaluator INFO: Inference done 3751/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:01:23 [10/24 13:49:56] d2.evaluation.evaluator INFO: Inference done 3842/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:01:18 [10/24 13:50:01] d2.evaluation.evaluator INFO: Inference done 3931/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:01:13 [10/24 13:50:06] d2.evaluation.evaluator INFO: Inference done 4025/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:01:07 [10/24 13:50:11] d2.evaluation.evaluator INFO: Inference done 4115/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:01:03 [10/24 13:50:16] d2.evaluation.evaluator INFO: Inference done 4207/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:00:57 [10/24 13:50:21] d2.evaluation.evaluator INFO: Inference done 4300/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:00:52 [10/24 13:50:26] d2.evaluation.evaluator INFO: Inference done 4392/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:00:47 [10/24 13:50:31] d2.evaluation.evaluator INFO: Inference done 4480/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:00:42 [10/24 13:50:37] d2.evaluation.evaluator INFO: Inference done 4570/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:00:37 [10/24 13:50:42] d2.evaluation.evaluator INFO: Inference done 4659/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:00:33 [10/24 13:50:47] d2.evaluation.evaluator INFO: Inference done 4750/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:00:28 [10/24 13:50:52] d2.evaluation.evaluator INFO: Inference done 4841/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:00:23 [10/24 13:50:57] d2.evaluation.evaluator INFO: Inference done 4932/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:00:17 [10/24 13:51:02] d2.evaluation.evaluator INFO: Inference done 5023/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:00:12 [10/24 13:51:07] d2.evaluation.evaluator INFO: Inference done 5115/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:00:07 [10/24 13:51:12] d2.evaluation.evaluator INFO: Inference done 5208/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:00:02 [10/24 13:51:15] d2.evaluation.evaluator INFO: Total inference time: 0:04:49.858435 (0.055180 s / iter per device, on 1 devices) [10/24 13:51:15] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:38 (0.052964 s / iter per device, on 1 devices) [10/24 13:51:15] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 13:52:36] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 13:52:36] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 13:52:36] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 13:52:36] d2.evaluation.testing INFO: copypaste: 0.0005,0.0030,0.0000 [10/24 13:52:36] d2.utils.events INFO: eta: 1 day, 4:59:08 iter: 2399 total_loss: 0.8215 loss_cls: 0.05018 loss_box_reg: 0.4032 loss_rpn_cls: 0.04199 loss_rpn_loc: 0.334 time: 3.9058 data_time: 0.8251 lr: 0.016 max_mem: 15878M [10/24 13:54:00] d2.utils.events INFO: eta: 1 day, 4:57:07 iter: 2419 total_loss: 0.8367 loss_cls: 0.04903 loss_box_reg: 0.395 loss_rpn_cls: 0.0373 loss_rpn_loc: 0.3377 time: 3.9084 data_time: 0.8405 lr: 0.016 max_mem: 15878M [10/24 13:55:33] d2.utils.events INFO: eta: 1 day, 4:56:07 iter: 2439 total_loss: 0.8273 loss_cls: 0.04915 loss_box_reg: 0.4008 loss_rpn_cls: 0.0412 loss_rpn_loc: 0.3478 time: 3.9145 data_time: 0.8568 lr: 0.016 max_mem: 15878M [10/24 13:57:20] d2.utils.events INFO: eta: 1 day, 4:57:15 iter: 2459 total_loss: 0.8033 loss_cls: 0.04775 loss_box_reg: 0.3959 loss_rpn_cls: 0.03862 loss_rpn_loc: 0.3365 time: 3.9260 data_time: 0.8379 lr: 0.016 max_mem: 15878M [10/24 13:58:59] d2.utils.events INFO: eta: 1 day, 4:54:46 iter: 2479 total_loss: 0.8101 loss_cls: 0.04345 loss_box_reg: 0.3829 loss_rpn_cls: 0.03822 loss_rpn_loc: 0.3379 time: 3.9343 data_time: 0.8375 lr: 0.016 max_mem: 15878M [10/24 14:00:29] d2.utils.events INFO: eta: 1 day, 4:55:24 iter: 2499 total_loss: 0.8389 loss_cls: 0.04783 loss_box_reg: 0.4081 loss_rpn_cls: 0.03496 loss_rpn_loc: 0.3305 time: 3.9388 data_time: 0.8773 lr: 0.016 max_mem: 15878M [10/24 14:01:45] d2.utils.events INFO: eta: 1 day, 4:53:44 iter: 2519 total_loss: 0.8242 loss_cls: 0.05048 loss_box_reg: 0.3999 loss_rpn_cls: 0.03888 loss_rpn_loc: 0.3556 time: 3.9377 data_time: 0.8225 lr: 0.016 max_mem: 15878M [10/24 14:03:05] d2.utils.events INFO: eta: 1 day, 4:53:22 iter: 2539 total_loss: 0.8281 loss_cls: 0.04962 loss_box_reg: 0.3994 loss_rpn_cls: 0.03891 loss_rpn_loc: 0.3347 time: 3.9381 data_time: 0.8597 lr: 0.016 max_mem: 15878M [10/24 14:04:28] d2.utils.events INFO: eta: 1 day, 4:52:13 iter: 2559 total_loss: 0.8055 loss_cls: 0.0448 loss_box_reg: 0.3618 loss_rpn_cls: 0.03888 loss_rpn_loc: 0.3478 time: 3.9396 data_time: 0.8633 lr: 0.016 max_mem: 15878M [10/24 14:05:59] d2.utils.events INFO: eta: 1 day, 4:50:57 iter: 2579 total_loss: 0.7885 loss_cls: 0.05128 loss_box_reg: 0.3962 loss_rpn_cls: 0.03798 loss_rpn_loc: 0.3396 time: 3.9447 data_time: 0.8666 lr: 0.016 max_mem: 15878M [10/24 14:07:21] d2.utils.events INFO: eta: 1 day, 4:49:46 iter: 2599 total_loss: 0.8046 loss_cls: 0.04623 loss_box_reg: 0.3943 loss_rpn_cls: 0.03925 loss_rpn_loc: 0.3341 time: 3.9458 data_time: 0.8417 lr: 0.016 max_mem: 15878M [10/24 14:08:37] d2.utils.events INFO: eta: 1 day, 4:48:21 iter: 2619 total_loss: 0.8141 loss_cls: 0.04577 loss_box_reg: 0.3695 loss_rpn_cls: 0.03923 loss_rpn_loc: 0.3406 time: 3.9446 data_time: 0.8280 lr: 0.016 max_mem: 15878M [10/24 14:09:55] d2.utils.events INFO: eta: 1 day, 4:46:37 iter: 2639 total_loss: 0.8718 loss_cls: 0.0541 loss_box_reg: 0.3957 loss_rpn_cls: 0.03941 loss_rpn_loc: 0.3548 time: 3.9444 data_time: 0.8549 lr: 0.016 max_mem: 15878M [10/24 14:11:17] d2.utils.events INFO: eta: 1 day, 4:44:03 iter: 2659 total_loss: 0.8039 loss_cls: 0.04861 loss_box_reg: 0.4088 loss_rpn_cls: 0.03453 loss_rpn_loc: 0.3278 time: 3.9452 data_time: 0.8251 lr: 0.016 max_mem: 15878M [10/24 14:12:44] d2.utils.events INFO: eta: 1 day, 4:42:07 iter: 2679 total_loss: 0.7694 loss_cls: 0.04387 loss_box_reg: 0.361 loss_rpn_cls: 0.0369 loss_rpn_loc: 0.3102 time: 3.9484 data_time: 0.8476 lr: 0.016 max_mem: 15878M [10/24 14:14:29] d2.utils.events INFO: eta: 1 day, 4:41:48 iter: 2699 total_loss: 0.8512 loss_cls: 0.04648 loss_box_reg: 0.3964 loss_rpn_cls: 0.03853 loss_rpn_loc: 0.3513 time: 3.9580 data_time: 0.8104 lr: 0.016 max_mem: 15878M [10/24 14:15:52] d2.utils.events INFO: eta: 1 day, 4:39:33 iter: 2719 total_loss: 0.7678 loss_cls: 0.04158 loss_box_reg: 0.3634 loss_rpn_cls: 0.03599 loss_rpn_loc: 0.3285 time: 3.9593 data_time: 0.8014 lr: 0.016 max_mem: 15878M [10/24 14:17:27] d2.utils.events INFO: eta: 1 day, 4:38:20 iter: 2739 total_loss: 0.8335 loss_cls: 0.04817 loss_box_reg: 0.395 loss_rpn_cls: 0.03562 loss_rpn_loc: 0.3256 time: 3.9652 data_time: 0.8543 lr: 0.016 max_mem: 15878M [10/24 14:19:14] d2.utils.events INFO: eta: 1 day, 4:36:54 iter: 2759 total_loss: 0.8514 loss_cls: 0.04859 loss_box_reg: 0.4039 loss_rpn_cls: 0.04098 loss_rpn_loc: 0.3552 time: 3.9751 data_time: 0.8297 lr: 0.016 max_mem: 15878M [10/24 14:20:48] d2.utils.events INFO: eta: 1 day, 4:35:28 iter: 2779 total_loss: 0.7381 loss_cls: 0.04315 loss_box_reg: 0.368 loss_rpn_cls: 0.03668 loss_rpn_loc: 0.3017 time: 3.9803 data_time: 0.8116 lr: 0.016 max_mem: 15878M [10/24 14:22:18] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 14:22:18] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 14:22:18] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 14:22:18] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 14:22:19] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:03:31 [10/24 14:22:24] d2.evaluation.evaluator INFO: Inference done 129/5258. Dataloading: 0.0012 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:03:37 [10/24 14:22:29] d2.evaluation.evaluator INFO: Inference done 246/5258. Dataloading: 0.0012 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0427 s/iter. ETA=0:03:34 [10/24 14:22:34] d2.evaluation.evaluator INFO: Inference done 363/5258. Dataloading: 0.0012 s/iter. Inference: 0.0412 s/iter. Eval: 0.0004 s/iter. Total: 0.0427 s/iter. ETA=0:03:29 [10/24 14:22:39] d2.evaluation.evaluator INFO: Inference done 483/5258. Dataloading: 0.0012 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:03:23 [10/24 14:22:44] d2.evaluation.evaluator INFO: Inference done 597/5258. Dataloading: 0.0012 s/iter. Inference: 0.0412 s/iter. Eval: 0.0004 s/iter. Total: 0.0428 s/iter. ETA=0:03:19 [10/24 14:22:49] d2.evaluation.evaluator INFO: Inference done 716/5258. Dataloading: 0.0011 s/iter. Inference: 0.0412 s/iter. Eval: 0.0004 s/iter. Total: 0.0427 s/iter. ETA=0:03:14 [10/24 14:22:54] d2.evaluation.evaluator INFO: Inference done 826/5258. Dataloading: 0.0012 s/iter. Inference: 0.0416 s/iter. Eval: 0.0004 s/iter. Total: 0.0431 s/iter. ETA=0:03:11 [10/24 14:22:59] d2.evaluation.evaluator INFO: Inference done 931/5258. Dataloading: 0.0012 s/iter. Inference: 0.0421 s/iter. Eval: 0.0004 s/iter. Total: 0.0437 s/iter. ETA=0:03:08 [10/24 14:23:04] d2.evaluation.evaluator INFO: Inference done 1047/5258. Dataloading: 0.0012 s/iter. Inference: 0.0420 s/iter. Eval: 0.0004 s/iter. Total: 0.0436 s/iter. ETA=0:03:03 [10/24 14:23:09] d2.evaluation.evaluator INFO: Inference done 1173/5258. Dataloading: 0.0012 s/iter. Inference: 0.0416 s/iter. Eval: 0.0004 s/iter. Total: 0.0432 s/iter. ETA=0:02:56 [10/24 14:23:14] d2.evaluation.evaluator INFO: Inference done 1292/5258. Dataloading: 0.0012 s/iter. Inference: 0.0415 s/iter. Eval: 0.0004 s/iter. Total: 0.0431 s/iter. ETA=0:02:50 [10/24 14:23:19] d2.evaluation.evaluator INFO: Inference done 1414/5258. Dataloading: 0.0011 s/iter. Inference: 0.0414 s/iter. Eval: 0.0004 s/iter. Total: 0.0429 s/iter. ETA=0:02:45 [10/24 14:23:24] d2.evaluation.evaluator INFO: Inference done 1537/5258. Dataloading: 0.0011 s/iter. Inference: 0.0412 s/iter. Eval: 0.0004 s/iter. Total: 0.0428 s/iter. ETA=0:02:39 [10/24 14:23:29] d2.evaluation.evaluator INFO: Inference done 1643/5258. Dataloading: 0.0012 s/iter. Inference: 0.0415 s/iter. Eval: 0.0004 s/iter. Total: 0.0430 s/iter. ETA=0:02:35 [10/24 14:23:34] d2.evaluation.evaluator INFO: Inference done 1771/5258. Dataloading: 0.0011 s/iter. Inference: 0.0412 s/iter. Eval: 0.0004 s/iter. Total: 0.0428 s/iter. ETA=0:02:29 [10/24 14:23:39] d2.evaluation.evaluator INFO: Inference done 1893/5258. Dataloading: 0.0011 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0427 s/iter. ETA=0:02:23 [10/24 14:23:44] d2.evaluation.evaluator INFO: Inference done 2013/5258. Dataloading: 0.0011 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:02:18 [10/24 14:23:49] d2.evaluation.evaluator INFO: Inference done 2131/5258. Dataloading: 0.0012 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:02:13 [10/24 14:23:54] d2.evaluation.evaluator INFO: Inference done 2246/5258. Dataloading: 0.0012 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0427 s/iter. ETA=0:02:08 [10/24 14:23:59] d2.evaluation.evaluator INFO: Inference done 2365/5258. Dataloading: 0.0012 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:02:03 [10/24 14:24:04] d2.evaluation.evaluator INFO: Inference done 2487/5258. Dataloading: 0.0012 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:01:57 [10/24 14:24:09] d2.evaluation.evaluator INFO: Inference done 2588/5258. Dataloading: 0.0012 s/iter. Inference: 0.0413 s/iter. Eval: 0.0004 s/iter. Total: 0.0429 s/iter. ETA=0:01:54 [10/24 14:24:14] d2.evaluation.evaluator INFO: Inference done 2706/5258. Dataloading: 0.0012 s/iter. Inference: 0.0413 s/iter. Eval: 0.0004 s/iter. Total: 0.0428 s/iter. ETA=0:01:49 [10/24 14:24:19] d2.evaluation.evaluator INFO: Inference done 2823/5258. Dataloading: 0.0012 s/iter. Inference: 0.0413 s/iter. Eval: 0.0004 s/iter. Total: 0.0429 s/iter. ETA=0:01:44 [10/24 14:24:24] d2.evaluation.evaluator INFO: Inference done 2941/5258. Dataloading: 0.0012 s/iter. Inference: 0.0413 s/iter. Eval: 0.0004 s/iter. Total: 0.0428 s/iter. ETA=0:01:39 [10/24 14:24:29] d2.evaluation.evaluator INFO: Inference done 3068/5258. Dataloading: 0.0012 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0427 s/iter. ETA=0:01:33 [10/24 14:24:35] d2.evaluation.evaluator INFO: Inference done 3189/5258. Dataloading: 0.0012 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0427 s/iter. ETA=0:01:28 [10/24 14:24:40] d2.evaluation.evaluator INFO: Inference done 3310/5258. Dataloading: 0.0012 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:01:23 [10/24 14:24:45] d2.evaluation.evaluator INFO: Inference done 3428/5258. Dataloading: 0.0012 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:01:17 [10/24 14:24:50] d2.evaluation.evaluator INFO: Inference done 3544/5258. Dataloading: 0.0012 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:01:13 [10/24 14:24:55] d2.evaluation.evaluator INFO: Inference done 3667/5258. Dataloading: 0.0012 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:01:07 [10/24 14:25:00] d2.evaluation.evaluator INFO: Inference done 3784/5258. Dataloading: 0.0012 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:01:02 [10/24 14:25:05] d2.evaluation.evaluator INFO: Inference done 3901/5258. Dataloading: 0.0012 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:00:57 [10/24 14:25:10] d2.evaluation.evaluator INFO: Inference done 4022/5258. Dataloading: 0.0012 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:00:52 [10/24 14:25:15] d2.evaluation.evaluator INFO: Inference done 4132/5258. Dataloading: 0.0012 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0427 s/iter. ETA=0:00:48 [10/24 14:25:20] d2.evaluation.evaluator INFO: Inference done 4247/5258. Dataloading: 0.0012 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0427 s/iter. ETA=0:00:43 [10/24 14:25:25] d2.evaluation.evaluator INFO: Inference done 4364/5258. Dataloading: 0.0012 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0427 s/iter. ETA=0:00:38 [10/24 14:25:30] d2.evaluation.evaluator INFO: Inference done 4469/5258. Dataloading: 0.0012 s/iter. Inference: 0.0412 s/iter. Eval: 0.0004 s/iter. Total: 0.0428 s/iter. ETA=0:00:33 [10/24 14:25:35] d2.evaluation.evaluator INFO: Inference done 4587/5258. Dataloading: 0.0012 s/iter. Inference: 0.0412 s/iter. Eval: 0.0004 s/iter. Total: 0.0428 s/iter. ETA=0:00:28 [10/24 14:25:40] d2.evaluation.evaluator INFO: Inference done 4701/5258. Dataloading: 0.0012 s/iter. Inference: 0.0412 s/iter. Eval: 0.0004 s/iter. Total: 0.0428 s/iter. ETA=0:00:23 [10/24 14:25:45] d2.evaluation.evaluator INFO: Inference done 4819/5258. Dataloading: 0.0012 s/iter. Inference: 0.0412 s/iter. Eval: 0.0004 s/iter. Total: 0.0428 s/iter. ETA=0:00:18 [10/24 14:25:50] d2.evaluation.evaluator INFO: Inference done 4937/5258. Dataloading: 0.0012 s/iter. Inference: 0.0412 s/iter. Eval: 0.0004 s/iter. Total: 0.0428 s/iter. ETA=0:00:13 [10/24 14:25:55] d2.evaluation.evaluator INFO: Inference done 5045/5258. Dataloading: 0.0012 s/iter. Inference: 0.0413 s/iter. Eval: 0.0004 s/iter. Total: 0.0429 s/iter. ETA=0:00:09 [10/24 14:26:00] d2.evaluation.evaluator INFO: Inference done 5155/5258. Dataloading: 0.0012 s/iter. Inference: 0.0413 s/iter. Eval: 0.0004 s/iter. Total: 0.0429 s/iter. ETA=0:00:04 [10/24 14:26:05] d2.evaluation.evaluator INFO: Total inference time: 0:03:46.085726 (0.043039 s / iter per device, on 1 devices) [10/24 14:26:05] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:37 (0.041423 s / iter per device, on 1 devices) [10/24 14:26:05] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 14:26:50] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 14:26:50] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 14:26:50] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 14:26:50] d2.evaluation.testing INFO: copypaste: 4.0758,9.3009,3.1872 [10/24 14:26:52] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 14:26:52] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 14:26:52] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 14:26:52] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 14:26:53] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:04:48 [10/24 14:26:58] d2.evaluation.evaluator INFO: Inference done 100/5258. Dataloading: 0.0012 s/iter. Inference: 0.0544 s/iter. Eval: 0.0009 s/iter. Total: 0.0566 s/iter. ETA=0:04:51 [10/24 14:27:03] d2.evaluation.evaluator INFO: Inference done 192/5258. Dataloading: 0.0012 s/iter. Inference: 0.0535 s/iter. Eval: 0.0009 s/iter. Total: 0.0557 s/iter. ETA=0:04:42 [10/24 14:27:08] d2.evaluation.evaluator INFO: Inference done 282/5258. Dataloading: 0.0013 s/iter. 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ETA=0:04:08 [10/24 14:27:38] d2.evaluation.evaluator INFO: Inference done 833/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:04:04 [10/24 14:27:43] d2.evaluation.evaluator INFO: Inference done 924/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:03:59 [10/24 14:27:48] d2.evaluation.evaluator INFO: Inference done 1015/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:03:54 [10/24 14:27:53] d2.evaluation.evaluator INFO: Inference done 1103/5258. Dataloading: 0.0012 s/iter. Inference: 0.0532 s/iter. Eval: 0.0009 s/iter. Total: 0.0554 s/iter. ETA=0:03:49 [10/24 14:27:58] d2.evaluation.evaluator INFO: Inference done 1195/5258. Dataloading: 0.0012 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:03:44 [10/24 14:28:03] d2.evaluation.evaluator INFO: Inference done 1286/5258. 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ETA=0:02:48 [10/24 14:28:59] d2.evaluation.evaluator INFO: Inference done 2293/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:02:43 [10/24 14:29:04] d2.evaluation.evaluator INFO: Inference done 2384/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:02:38 [10/24 14:29:09] d2.evaluation.evaluator INFO: Inference done 2476/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:02:33 [10/24 14:29:14] d2.evaluation.evaluator INFO: Inference done 2566/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:02:28 [10/24 14:29:19] d2.evaluation.evaluator INFO: Inference done 2659/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:02:23 [10/24 14:29:24] d2.evaluation.evaluator INFO: Inference done 2749/5258. 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ETA=0:01:27 [10/24 14:30:19] d2.evaluation.evaluator INFO: Inference done 3757/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:01:22 [10/24 14:30:24] d2.evaluation.evaluator INFO: Inference done 3848/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:01:17 [10/24 14:30:29] d2.evaluation.evaluator INFO: Inference done 3940/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:01:12 [10/24 14:30:34] d2.evaluation.evaluator INFO: Inference done 4033/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0550 s/iter. ETA=0:01:07 [10/24 14:30:39] d2.evaluation.evaluator INFO: Inference done 4125/5258. Dataloading: 0.0012 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0550 s/iter. ETA=0:01:02 [10/24 14:30:44] d2.evaluation.evaluator INFO: Inference done 4213/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:00:57 [10/24 14:30:49] d2.evaluation.evaluator INFO: Inference done 4303/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:00:52 [10/24 14:30:54] d2.evaluation.evaluator INFO: Inference done 4395/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:00:47 [10/24 14:31:00] d2.evaluation.evaluator INFO: Inference done 4487/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:00:42 [10/24 14:31:05] d2.evaluation.evaluator INFO: Inference done 4580/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0550 s/iter. ETA=0:00:37 [10/24 14:31:10] d2.evaluation.evaluator INFO: Inference done 4672/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0550 s/iter. ETA=0:00:32 [10/24 14:31:15] d2.evaluation.evaluator INFO: Inference done 4768/5258. Dataloading: 0.0012 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0550 s/iter. ETA=0:00:26 [10/24 14:31:20] d2.evaluation.evaluator INFO: Inference done 4867/5258. Dataloading: 0.0012 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:00:21 [10/24 14:31:25] d2.evaluation.evaluator INFO: Inference done 4959/5258. Dataloading: 0.0012 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:00:16 [10/24 14:31:30] d2.evaluation.evaluator INFO: Inference done 5055/5258. Dataloading: 0.0012 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:00:11 [10/24 14:31:35] d2.evaluation.evaluator INFO: Inference done 5146/5258. Dataloading: 0.0012 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:00:06 [10/24 14:31:40] d2.evaluation.evaluator INFO: Inference done 5239/5258. Dataloading: 0.0012 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0548 s/iter. ETA=0:00:01 [10/24 14:31:41] d2.evaluation.evaluator INFO: Total inference time: 0:04:48.056415 (0.054837 s / iter per device, on 1 devices) [10/24 14:31:41] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:36 (0.052667 s / iter per device, on 1 devices) [10/24 14:31:41] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 14:33:02] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 14:33:02] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 14:33:02] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 14:33:02] d2.evaluation.testing INFO: copypaste: 0.0005,0.0030,0.0000 [10/24 14:33:02] d2.utils.events INFO: eta: 1 day, 4:33:52 iter: 2799 total_loss: 0.8096 loss_cls: 0.04644 loss_box_reg: 0.3696 loss_rpn_cls: 0.03994 loss_rpn_loc: 0.3575 time: 3.9818 data_time: 0.8868 lr: 0.016 max_mem: 15878M [10/24 14:34:25] d2.utils.events INFO: eta: 1 day, 4:33:15 iter: 2819 total_loss: 0.8178 loss_cls: 0.04662 loss_box_reg: 0.3831 loss_rpn_cls: 0.04075 loss_rpn_loc: 0.3356 time: 3.9832 data_time: 0.8641 lr: 0.016 max_mem: 15878M [10/24 14:35:49] d2.utils.events INFO: eta: 1 day, 4:32:59 iter: 2839 total_loss: 0.7691 loss_cls: 0.04536 loss_box_reg: 0.3599 loss_rpn_cls: 0.03739 loss_rpn_loc: 0.3236 time: 3.9846 data_time: 0.8269 lr: 0.016 max_mem: 15878M [10/24 14:37:10] d2.utils.events INFO: eta: 1 day, 4:31:33 iter: 2859 total_loss: 0.771 loss_cls: 0.04567 loss_box_reg: 0.3705 loss_rpn_cls: 0.03406 loss_rpn_loc: 0.3041 time: 3.9851 data_time: 0.8518 lr: 0.016 max_mem: 15878M [10/24 14:38:30] d2.utils.events INFO: eta: 1 day, 4:31:01 iter: 2879 total_loss: 0.7781 loss_cls: 0.04612 loss_box_reg: 0.3763 loss_rpn_cls: 0.03226 loss_rpn_loc: 0.3236 time: 3.9850 data_time: 0.9202 lr: 0.016 max_mem: 15878M [10/24 14:39:54] d2.utils.events INFO: eta: 1 day, 4:29:59 iter: 2899 total_loss: 0.7905 loss_cls: 0.04389 loss_box_reg: 0.3651 loss_rpn_cls: 0.04124 loss_rpn_loc: 0.3125 time: 3.9867 data_time: 0.8742 lr: 0.016 max_mem: 15878M [10/24 14:41:19] d2.utils.events INFO: eta: 1 day, 4:29:28 iter: 2919 total_loss: 0.8256 loss_cls: 0.04938 loss_box_reg: 0.4197 loss_rpn_cls: 0.04102 loss_rpn_loc: 0.3267 time: 3.9883 data_time: 0.8528 lr: 0.016 max_mem: 15878M [10/24 14:42:41] d2.utils.events INFO: eta: 1 day, 4:28:40 iter: 2939 total_loss: 0.8091 loss_cls: 0.0492 loss_box_reg: 0.383 loss_rpn_cls: 0.04098 loss_rpn_loc: 0.3424 time: 3.9890 data_time: 0.8280 lr: 0.016 max_mem: 15878M [10/24 14:44:11] d2.utils.events INFO: eta: 1 day, 4:29:07 iter: 2959 total_loss: 0.857 loss_cls: 0.04909 loss_box_reg: 0.4047 loss_rpn_cls: 0.03719 loss_rpn_loc: 0.3337 time: 3.9926 data_time: 0.8395 lr: 0.016 max_mem: 15878M [10/24 14:45:33] d2.utils.events INFO: eta: 1 day, 4:28:20 iter: 2979 total_loss: 0.7548 loss_cls: 0.04309 loss_box_reg: 0.3609 loss_rpn_cls: 0.03763 loss_rpn_loc: 0.3158 time: 3.9932 data_time: 0.8276 lr: 0.016 max_mem: 15878M [10/24 14:46:59] d2.utils.events INFO: eta: 1 day, 4:27:54 iter: 2999 total_loss: 0.8065 loss_cls: 0.04525 loss_box_reg: 0.3701 loss_rpn_cls: 0.03863 loss_rpn_loc: 0.3346 time: 3.9952 data_time: 0.8872 lr: 0.016 max_mem: 15878M [10/24 14:48:23] d2.utils.events INFO: eta: 1 day, 4:26:38 iter: 3019 total_loss: 0.822 loss_cls: 0.04642 loss_box_reg: 0.4007 loss_rpn_cls: 0.04009 loss_rpn_loc: 0.3138 time: 3.9968 data_time: 0.8474 lr: 0.016 max_mem: 15878M [10/24 14:49:47] d2.utils.events INFO: eta: 1 day, 4:25:46 iter: 3039 total_loss: 0.8044 loss_cls: 0.05342 loss_box_reg: 0.3805 loss_rpn_cls: 0.03749 loss_rpn_loc: 0.3188 time: 3.9980 data_time: 0.8399 lr: 0.016 max_mem: 15878M [10/24 14:51:11] d2.utils.events INFO: eta: 1 day, 4:25:09 iter: 3059 total_loss: 0.7812 loss_cls: 0.04693 loss_box_reg: 0.3718 loss_rpn_cls: 0.03649 loss_rpn_loc: 0.3231 time: 3.9993 data_time: 0.8370 lr: 0.016 max_mem: 15878M [10/24 14:52:33] d2.utils.events INFO: eta: 1 day, 4:24:20 iter: 3079 total_loss: 0.7651 loss_cls: 0.03815 loss_box_reg: 0.3444 loss_rpn_cls: 0.03405 loss_rpn_loc: 0.3354 time: 4.0001 data_time: 0.8698 lr: 0.016 max_mem: 15878M [10/24 14:53:53] d2.utils.events INFO: eta: 1 day, 4:23:04 iter: 3099 total_loss: 0.8301 loss_cls: 0.04789 loss_box_reg: 0.4047 loss_rpn_cls: 0.03906 loss_rpn_loc: 0.3462 time: 3.9999 data_time: 0.8569 lr: 0.016 max_mem: 15878M [10/24 14:55:16] d2.utils.events INFO: eta: 1 day, 4:24:02 iter: 3119 total_loss: 0.868 loss_cls: 0.04729 loss_box_reg: 0.4216 loss_rpn_cls: 0.03447 loss_rpn_loc: 0.3489 time: 4.0009 data_time: 0.8605 lr: 0.016 max_mem: 15878M [10/24 14:56:40] d2.utils.events INFO: eta: 1 day, 4:22:35 iter: 3139 total_loss: 0.8046 loss_cls: 0.045 loss_box_reg: 0.3773 loss_rpn_cls: 0.03649 loss_rpn_loc: 0.3305 time: 4.0023 data_time: 0.8723 lr: 0.016 max_mem: 15878M [10/24 14:58:09] d2.utils.events INFO: eta: 1 day, 4:19:39 iter: 3159 total_loss: 0.7638 loss_cls: 0.04447 loss_box_reg: 0.3464 loss_rpn_cls: 0.03591 loss_rpn_loc: 0.3277 time: 4.0050 data_time: 0.8320 lr: 0.016 max_mem: 15878M [10/24 14:59:48] d2.utils.events INFO: eta: 1 day, 4:20:16 iter: 3179 total_loss: 0.7925 loss_cls: 0.04124 loss_box_reg: 0.368 loss_rpn_cls: 0.03789 loss_rpn_loc: 0.3406 time: 4.0109 data_time: 0.8309 lr: 0.016 max_mem: 15878M [10/24 15:01:17] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 15:01:17] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 15:01:17] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 15:01:17] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 15:01:18] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0429 s/iter. Eval: 0.0004 s/iter. Total: 0.0443 s/iter. ETA=0:03:52 [10/24 15:01:23] d2.evaluation.evaluator INFO: Inference done 126/5258. Dataloading: 0.0012 s/iter. Inference: 0.0422 s/iter. Eval: 0.0004 s/iter. Total: 0.0438 s/iter. ETA=0:03:44 [10/24 15:01:28] d2.evaluation.evaluator INFO: Inference done 244/5258. Dataloading: 0.0012 s/iter. Inference: 0.0415 s/iter. Eval: 0.0004 s/iter. Total: 0.0431 s/iter. ETA=0:03:36 [10/24 15:01:33] d2.evaluation.evaluator INFO: Inference done 365/5258. Dataloading: 0.0012 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:03:28 [10/24 15:01:38] d2.evaluation.evaluator INFO: Inference done 485/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:03:22 [10/24 15:01:43] d2.evaluation.evaluator INFO: Inference done 610/5258. Dataloading: 0.0012 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:03:14 [10/24 15:01:48] d2.evaluation.evaluator INFO: Inference done 734/5258. Dataloading: 0.0012 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:03:08 [10/24 15:01:53] d2.evaluation.evaluator INFO: Inference done 852/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:03:04 [10/24 15:01:58] d2.evaluation.evaluator INFO: Inference done 972/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:02:59 [10/24 15:02:03] d2.evaluation.evaluator INFO: Inference done 1096/5258. Dataloading: 0.0012 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:02:53 [10/24 15:02:08] d2.evaluation.evaluator INFO: Inference done 1218/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:02:48 [10/24 15:02:13] d2.evaluation.evaluator INFO: Inference done 1342/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:02:42 [10/24 15:02:18] d2.evaluation.evaluator INFO: Inference done 1455/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:02:38 [10/24 15:02:23] d2.evaluation.evaluator INFO: Inference done 1581/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:02:33 [10/24 15:02:28] d2.evaluation.evaluator INFO: Inference done 1701/5258. 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ETA=0:01:40 [10/24 15:03:23] d2.evaluation.evaluator INFO: Inference done 2991/5258. Dataloading: 0.0012 s/iter. Inference: 0.0406 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:01:35 [10/24 15:03:28] d2.evaluation.evaluator INFO: Inference done 3107/5258. Dataloading: 0.0012 s/iter. Inference: 0.0406 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:01:30 [10/24 15:03:33] d2.evaluation.evaluator INFO: Inference done 3221/5258. Dataloading: 0.0012 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0423 s/iter. ETA=0:01:26 [10/24 15:03:38] d2.evaluation.evaluator INFO: Inference done 3335/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0423 s/iter. ETA=0:01:21 [10/24 15:03:44] d2.evaluation.evaluator INFO: Inference done 3451/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:01:16 [10/24 15:03:49] d2.evaluation.evaluator INFO: Inference done 3567/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:01:11 [10/24 15:03:54] d2.evaluation.evaluator INFO: Inference done 3682/5258. Dataloading: 0.0012 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:01:06 [10/24 15:03:59] d2.evaluation.evaluator INFO: Inference done 3804/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:01:01 [10/24 15:04:04] d2.evaluation.evaluator INFO: Inference done 3927/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0423 s/iter. ETA=0:00:56 [10/24 15:04:09] d2.evaluation.evaluator INFO: Inference done 4049/5258. Dataloading: 0.0012 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0423 s/iter. ETA=0:00:51 [10/24 15:04:14] d2.evaluation.evaluator INFO: Inference done 4163/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:00:46 [10/24 15:04:19] d2.evaluation.evaluator INFO: Inference done 4278/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:00:41 [10/24 15:04:24] d2.evaluation.evaluator INFO: Inference done 4397/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:00:36 [10/24 15:04:29] d2.evaluation.evaluator INFO: Inference done 4523/5258. Dataloading: 0.0012 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0423 s/iter. ETA=0:00:31 [10/24 15:04:34] d2.evaluation.evaluator INFO: Inference done 4642/5258. Dataloading: 0.0012 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0423 s/iter. ETA=0:00:26 [10/24 15:04:39] d2.evaluation.evaluator INFO: Inference done 4762/5258. Dataloading: 0.0012 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0423 s/iter. ETA=0:00:20 [10/24 15:04:44] d2.evaluation.evaluator INFO: Inference done 4885/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0423 s/iter. ETA=0:00:15 [10/24 15:04:49] d2.evaluation.evaluator INFO: Inference done 5009/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:00:10 [10/24 15:04:54] d2.evaluation.evaluator INFO: Inference done 5132/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:00:05 [10/24 15:04:59] d2.evaluation.evaluator INFO: Inference done 5256/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0004 s/iter. Total: 0.0421 s/iter. ETA=0:00:00 [10/24 15:04:59] d2.evaluation.evaluator INFO: Total inference time: 0:03:41.382596 (0.042144 s / iter per device, on 1 devices) [10/24 15:04:59] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:33 (0.040577 s / iter per device, on 1 devices) [10/24 15:04:59] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 15:05:42] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 15:05:42] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 15:05:42] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 15:05:42] d2.evaluation.testing INFO: copypaste: 4.4329,10.1330,3.5888 [10/24 15:05:44] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 15:05:44] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 15:05:44] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 15:05:44] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 15:05:46] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0011 s/iter. Inference: 0.0542 s/iter. Eval: 0.0009 s/iter. Total: 0.0562 s/iter. ETA=0:04:54 [10/24 15:05:51] d2.evaluation.evaluator INFO: Inference done 102/5258. Dataloading: 0.0013 s/iter. Inference: 0.0532 s/iter. Eval: 0.0009 s/iter. Total: 0.0555 s/iter. ETA=0:04:46 [10/24 15:05:56] d2.evaluation.evaluator INFO: Inference done 193/5258. Dataloading: 0.0013 s/iter. Inference: 0.0532 s/iter. Eval: 0.0009 s/iter. Total: 0.0555 s/iter. ETA=0:04:40 [10/24 15:06:01] d2.evaluation.evaluator INFO: Inference done 285/5258. Dataloading: 0.0013 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0552 s/iter. ETA=0:04:34 [10/24 15:06:06] d2.evaluation.evaluator INFO: Inference done 378/5258. Dataloading: 0.0013 s/iter. Inference: 0.0527 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:04:28 [10/24 15:06:11] d2.evaluation.evaluator INFO: Inference done 469/5258. Dataloading: 0.0013 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0550 s/iter. ETA=0:04:23 [10/24 15:06:16] d2.evaluation.evaluator INFO: Inference done 560/5258. Dataloading: 0.0013 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:04:18 [10/24 15:06:21] d2.evaluation.evaluator INFO: Inference done 648/5258. Dataloading: 0.0012 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:04:15 [10/24 15:06:26] d2.evaluation.evaluator INFO: Inference done 742/5258. Dataloading: 0.0012 s/iter. Inference: 0.0529 s/iter. Eval: 0.0009 s/iter. Total: 0.0551 s/iter. ETA=0:04:08 [10/24 15:06:31] d2.evaluation.evaluator INFO: Inference done 830/5258. Dataloading: 0.0012 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:04:05 [10/24 15:06:36] d2.evaluation.evaluator INFO: Inference done 921/5258. Dataloading: 0.0012 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:03:59 [10/24 15:06:41] d2.evaluation.evaluator INFO: Inference done 1013/5258. Dataloading: 0.0012 s/iter. Inference: 0.0530 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:03:54 [10/24 15:06:46] d2.evaluation.evaluator INFO: Inference done 1103/5258. Dataloading: 0.0012 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:03:49 [10/24 15:06:51] d2.evaluation.evaluator INFO: Inference done 1194/5258. Dataloading: 0.0012 s/iter. Inference: 0.0531 s/iter. Eval: 0.0009 s/iter. Total: 0.0553 s/iter. ETA=0:03:44 [10/24 15:06:56] d2.evaluation.evaluator INFO: Inference done 1286/5258. 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ETA=0:02:50 [10/24 15:07:51] d2.evaluation.evaluator INFO: Inference done 2279/5258. Dataloading: 0.0012 s/iter. Inference: 0.0533 s/iter. Eval: 0.0009 s/iter. Total: 0.0555 s/iter. ETA=0:02:45 [10/24 15:07:56] d2.evaluation.evaluator INFO: Inference done 2370/5258. Dataloading: 0.0012 s/iter. Inference: 0.0532 s/iter. Eval: 0.0009 s/iter. Total: 0.0555 s/iter. ETA=0:02:40 [10/24 15:08:01] d2.evaluation.evaluator INFO: Inference done 2460/5258. Dataloading: 0.0012 s/iter. Inference: 0.0532 s/iter. Eval: 0.0009 s/iter. Total: 0.0555 s/iter. ETA=0:02:35 [10/24 15:08:07] d2.evaluation.evaluator INFO: Inference done 2549/5258. Dataloading: 0.0012 s/iter. Inference: 0.0533 s/iter. Eval: 0.0009 s/iter. Total: 0.0555 s/iter. ETA=0:02:30 [10/24 15:08:12] d2.evaluation.evaluator INFO: Inference done 2638/5258. Dataloading: 0.0012 s/iter. Inference: 0.0533 s/iter. Eval: 0.0009 s/iter. Total: 0.0555 s/iter. ETA=0:02:25 [10/24 15:08:17] d2.evaluation.evaluator INFO: Inference done 2730/5258. 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ETA=0:01:30 [10/24 15:09:12] d2.evaluation.evaluator INFO: Inference done 3716/5258. Dataloading: 0.0012 s/iter. Inference: 0.0534 s/iter. Eval: 0.0009 s/iter. Total: 0.0556 s/iter. ETA=0:01:25 [10/24 15:09:17] d2.evaluation.evaluator INFO: Inference done 3808/5258. Dataloading: 0.0012 s/iter. Inference: 0.0534 s/iter. Eval: 0.0009 s/iter. Total: 0.0556 s/iter. ETA=0:01:20 [10/24 15:09:22] d2.evaluation.evaluator INFO: Inference done 3900/5258. Dataloading: 0.0012 s/iter. Inference: 0.0534 s/iter. Eval: 0.0009 s/iter. Total: 0.0556 s/iter. ETA=0:01:15 [10/24 15:09:27] d2.evaluation.evaluator INFO: Inference done 3992/5258. Dataloading: 0.0012 s/iter. Inference: 0.0534 s/iter. Eval: 0.0009 s/iter. Total: 0.0556 s/iter. ETA=0:01:10 [10/24 15:09:32] d2.evaluation.evaluator INFO: Inference done 4085/5258. Dataloading: 0.0012 s/iter. Inference: 0.0533 s/iter. Eval: 0.0009 s/iter. Total: 0.0555 s/iter. ETA=0:01:05 [10/24 15:09:37] d2.evaluation.evaluator INFO: Inference done 4176/5258. Dataloading: 0.0012 s/iter. Inference: 0.0533 s/iter. Eval: 0.0009 s/iter. Total: 0.0555 s/iter. ETA=0:01:00 [10/24 15:09:42] d2.evaluation.evaluator INFO: Inference done 4268/5258. Dataloading: 0.0012 s/iter. Inference: 0.0533 s/iter. Eval: 0.0009 s/iter. Total: 0.0555 s/iter. ETA=0:00:54 [10/24 15:09:47] d2.evaluation.evaluator INFO: Inference done 4359/5258. Dataloading: 0.0012 s/iter. Inference: 0.0533 s/iter. Eval: 0.0009 s/iter. Total: 0.0555 s/iter. ETA=0:00:49 [10/24 15:09:52] d2.evaluation.evaluator INFO: Inference done 4449/5258. Dataloading: 0.0012 s/iter. Inference: 0.0533 s/iter. Eval: 0.0009 s/iter. Total: 0.0555 s/iter. ETA=0:00:44 [10/24 15:09:57] d2.evaluation.evaluator INFO: Inference done 4541/5258. Dataloading: 0.0012 s/iter. Inference: 0.0533 s/iter. Eval: 0.0009 s/iter. Total: 0.0555 s/iter. ETA=0:00:39 [10/24 15:10:02] d2.evaluation.evaluator INFO: Inference done 4632/5258. Dataloading: 0.0012 s/iter. Inference: 0.0533 s/iter. Eval: 0.0009 s/iter. Total: 0.0555 s/iter. ETA=0:00:34 [10/24 15:10:07] d2.evaluation.evaluator INFO: Inference done 4724/5258. Dataloading: 0.0012 s/iter. Inference: 0.0533 s/iter. Eval: 0.0009 s/iter. Total: 0.0555 s/iter. ETA=0:00:29 [10/24 15:10:12] d2.evaluation.evaluator INFO: Inference done 4815/5258. Dataloading: 0.0012 s/iter. Inference: 0.0533 s/iter. Eval: 0.0009 s/iter. Total: 0.0555 s/iter. ETA=0:00:24 [10/24 15:10:17] d2.evaluation.evaluator INFO: Inference done 4907/5258. Dataloading: 0.0012 s/iter. Inference: 0.0533 s/iter. Eval: 0.0009 s/iter. Total: 0.0555 s/iter. ETA=0:00:19 [10/24 15:10:22] d2.evaluation.evaluator INFO: Inference done 4999/5258. Dataloading: 0.0012 s/iter. Inference: 0.0532 s/iter. Eval: 0.0009 s/iter. Total: 0.0554 s/iter. ETA=0:00:14 [10/24 15:10:27] d2.evaluation.evaluator INFO: Inference done 5090/5258. Dataloading: 0.0012 s/iter. Inference: 0.0532 s/iter. Eval: 0.0009 s/iter. Total: 0.0554 s/iter. ETA=0:00:09 [10/24 15:10:32] d2.evaluation.evaluator INFO: Inference done 5182/5258. Dataloading: 0.0012 s/iter. Inference: 0.0532 s/iter. Eval: 0.0009 s/iter. Total: 0.0554 s/iter. ETA=0:00:04 [10/24 15:10:36] d2.evaluation.evaluator INFO: Total inference time: 0:04:51.157409 (0.055427 s / iter per device, on 1 devices) [10/24 15:10:36] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:39 (0.053218 s / iter per device, on 1 devices) [10/24 15:10:36] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 15:11:57] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 15:11:57] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 15:11:57] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 15:11:57] d2.evaluation.testing INFO: copypaste: 0.0005,0.0030,0.0000 [10/24 15:11:57] d2.utils.events INFO: eta: 1 day, 4:19:34 iter: 3199 total_loss: 0.7938 loss_cls: 0.04269 loss_box_reg: 0.3782 loss_rpn_cls: 0.0359 loss_rpn_loc: 0.3278 time: 4.0115 data_time: 0.8951 lr: 0.016 max_mem: 15878M [10/24 15:13:19] d2.utils.events INFO: eta: 1 day, 4:16:38 iter: 3219 total_loss: 0.752 loss_cls: 0.04144 loss_box_reg: 0.3635 loss_rpn_cls: 0.0361 loss_rpn_loc: 0.3203 time: 4.0123 data_time: 0.8460 lr: 0.016 max_mem: 15878M [10/24 15:14:44] d2.utils.events INFO: eta: 1 day, 4:14:24 iter: 3239 total_loss: 0.7918 loss_cls: 0.04299 loss_box_reg: 0.3887 loss_rpn_cls: 0.03809 loss_rpn_loc: 0.3227 time: 4.0136 data_time: 0.8964 lr: 0.016 max_mem: 15878M [10/24 15:16:06] d2.utils.events INFO: eta: 1 day, 4:14:58 iter: 3259 total_loss: 0.7907 loss_cls: 0.04581 loss_box_reg: 0.3692 loss_rpn_cls: 0.03792 loss_rpn_loc: 0.3318 time: 4.0142 data_time: 0.8501 lr: 0.016 max_mem: 15878M [10/24 15:17:34] d2.utils.events INFO: eta: 1 day, 4:14:10 iter: 3279 total_loss: 0.7027 loss_cls: 0.04018 loss_box_reg: 0.3386 loss_rpn_cls: 0.03367 loss_rpn_loc: 0.3035 time: 4.0166 data_time: 0.8675 lr: 0.016 max_mem: 15878M [10/24 15:18:55] d2.utils.events INFO: eta: 1 day, 4:13:06 iter: 3299 total_loss: 0.7774 loss_cls: 0.04135 loss_box_reg: 0.3825 loss_rpn_cls: 0.03132 loss_rpn_loc: 0.3328 time: 4.0166 data_time: 0.8255 lr: 0.016 max_mem: 15878M [10/24 15:20:23] d2.utils.events INFO: eta: 1 day, 4:12:36 iter: 3319 total_loss: 0.7612 loss_cls: 0.04244 loss_box_reg: 0.3663 loss_rpn_cls: 0.03195 loss_rpn_loc: 0.3246 time: 4.0189 data_time: 0.8435 lr: 0.016 max_mem: 15878M [10/24 15:21:42] d2.utils.events INFO: eta: 1 day, 4:13:21 iter: 3339 total_loss: 0.7446 loss_cls: 0.03916 loss_box_reg: 0.3509 loss_rpn_cls: 0.03368 loss_rpn_loc: 0.3168 time: 4.0187 data_time: 0.8935 lr: 0.016 max_mem: 15878M [10/24 15:23:15] d2.utils.events INFO: eta: 1 day, 4:12:37 iter: 3359 total_loss: 0.7543 loss_cls: 0.04335 loss_box_reg: 0.3624 loss_rpn_cls: 0.03476 loss_rpn_loc: 0.2947 time: 4.0224 data_time: 0.8519 lr: 0.016 max_mem: 15878M [10/24 15:24:31] d2.utils.events INFO: eta: 1 day, 4:10:37 iter: 3379 total_loss: 0.7897 loss_cls: 0.04104 loss_box_reg: 0.3524 loss_rpn_cls: 0.03808 loss_rpn_loc: 0.3346 time: 4.0211 data_time: 0.8588 lr: 0.016 max_mem: 15878M [10/24 15:25:53] d2.utils.events INFO: eta: 1 day, 4:10:09 iter: 3399 total_loss: 0.8314 loss_cls: 0.04713 loss_box_reg: 0.3787 loss_rpn_cls: 0.03712 loss_rpn_loc: 0.3539 time: 4.0215 data_time: 0.8333 lr: 0.016 max_mem: 15878M [10/24 15:27:15] d2.utils.events INFO: eta: 1 day, 4:08:53 iter: 3419 total_loss: 0.7761 loss_cls: 0.04533 loss_box_reg: 0.377 loss_rpn_cls: 0.0323 loss_rpn_loc: 0.3198 time: 4.0220 data_time: 0.8633 lr: 0.016 max_mem: 15878M [10/24 15:28:31] d2.utils.events INFO: eta: 1 day, 4:06:10 iter: 3439 total_loss: 0.7963 loss_cls: 0.04612 loss_box_reg: 0.3784 loss_rpn_cls: 0.03784 loss_rpn_loc: 0.3137 time: 4.0206 data_time: 0.8323 lr: 0.016 max_mem: 15878M [10/24 15:29:54] d2.utils.events INFO: eta: 1 day, 4:03:43 iter: 3459 total_loss: 0.7917 loss_cls: 0.04286 loss_box_reg: 0.3453 loss_rpn_cls: 0.03715 loss_rpn_loc: 0.3492 time: 4.0213 data_time: 0.8426 lr: 0.016 max_mem: 15878M [10/24 15:31:18] d2.utils.events INFO: eta: 1 day, 4:03:17 iter: 3479 total_loss: 0.787 loss_cls: 0.04526 loss_box_reg: 0.3759 loss_rpn_cls: 0.03734 loss_rpn_loc: 0.3379 time: 4.0225 data_time: 0.8514 lr: 0.016 max_mem: 15878M [10/24 15:32:54] d2.utils.events INFO: eta: 1 day, 4:01:46 iter: 3499 total_loss: 0.8017 loss_cls: 0.04159 loss_box_reg: 0.3663 loss_rpn_cls: 0.03994 loss_rpn_loc: 0.3545 time: 4.0269 data_time: 0.8172 lr: 0.016 max_mem: 15878M [10/24 15:34:24] d2.utils.events INFO: eta: 1 day, 4:02:51 iter: 3519 total_loss: 0.732 loss_cls: 0.044 loss_box_reg: 0.3717 loss_rpn_cls: 0.03199 loss_rpn_loc: 0.303 time: 4.0296 data_time: 0.8229 lr: 0.016 max_mem: 15878M [10/24 15:35:54] d2.utils.events INFO: eta: 1 day, 4:02:11 iter: 3539 total_loss: 0.7235 loss_cls: 0.04091 loss_box_reg: 0.325 loss_rpn_cls: 0.0297 loss_rpn_loc: 0.2992 time: 4.0323 data_time: 0.8316 lr: 0.016 max_mem: 15878M [10/24 15:37:21] d2.utils.events INFO: eta: 1 day, 4:02:06 iter: 3559 total_loss: 0.7668 loss_cls: 0.04436 loss_box_reg: 0.3622 loss_rpn_cls: 0.03658 loss_rpn_loc: 0.3263 time: 4.0340 data_time: 0.8274 lr: 0.016 max_mem: 15878M [10/24 15:38:39] d2.utils.events INFO: eta: 1 day, 4:00:27 iter: 3579 total_loss: 0.7479 loss_cls: 0.04126 loss_box_reg: 0.3578 loss_rpn_cls: 0.03357 loss_rpn_loc: 0.3102 time: 4.0332 data_time: 0.9111 lr: 0.016 max_mem: 15878M [10/24 15:40:09] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 15:40:09] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 15:40:09] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 15:40:09] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 15:40:10] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0012 s/iter. Inference: 0.0500 s/iter. Eval: 0.0005 s/iter. Total: 0.0518 s/iter. ETA=0:04:31 [10/24 15:40:15] d2.evaluation.evaluator INFO: Inference done 109/5258. Dataloading: 0.0012 s/iter. Inference: 0.0496 s/iter. Eval: 0.0005 s/iter. Total: 0.0514 s/iter. ETA=0:04:24 [10/24 15:40:20] d2.evaluation.evaluator INFO: Inference done 226/5258. Dataloading: 0.0012 s/iter. Inference: 0.0451 s/iter. Eval: 0.0005 s/iter. Total: 0.0469 s/iter. ETA=0:03:56 [10/24 15:40:25] d2.evaluation.evaluator INFO: Inference done 345/5258. Dataloading: 0.0012 s/iter. Inference: 0.0435 s/iter. Eval: 0.0005 s/iter. Total: 0.0452 s/iter. ETA=0:03:42 [10/24 15:40:30] d2.evaluation.evaluator INFO: Inference done 456/5258. Dataloading: 0.0012 s/iter. Inference: 0.0435 s/iter. Eval: 0.0005 s/iter. Total: 0.0452 s/iter. ETA=0:03:37 [10/24 15:40:35] d2.evaluation.evaluator INFO: Inference done 576/5258. Dataloading: 0.0012 s/iter. Inference: 0.0428 s/iter. Eval: 0.0005 s/iter. Total: 0.0445 s/iter. ETA=0:03:28 [10/24 15:40:40] d2.evaluation.evaluator INFO: Inference done 696/5258. Dataloading: 0.0012 s/iter. Inference: 0.0423 s/iter. Eval: 0.0005 s/iter. Total: 0.0441 s/iter. ETA=0:03:21 [10/24 15:40:45] d2.evaluation.evaluator INFO: Inference done 817/5258. Dataloading: 0.0012 s/iter. Inference: 0.0420 s/iter. Eval: 0.0005 s/iter. Total: 0.0437 s/iter. ETA=0:03:13 [10/24 15:40:50] d2.evaluation.evaluator INFO: Inference done 939/5258. Dataloading: 0.0012 s/iter. Inference: 0.0416 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:03:07 [10/24 15:40:55] d2.evaluation.evaluator INFO: Inference done 1044/5258. Dataloading: 0.0012 s/iter. Inference: 0.0421 s/iter. Eval: 0.0005 s/iter. Total: 0.0438 s/iter. ETA=0:03:04 [10/24 15:41:00] d2.evaluation.evaluator INFO: Inference done 1167/5258. Dataloading: 0.0012 s/iter. Inference: 0.0418 s/iter. Eval: 0.0005 s/iter. Total: 0.0435 s/iter. ETA=0:02:57 [10/24 15:41:05] d2.evaluation.evaluator INFO: Inference done 1287/5258. Dataloading: 0.0012 s/iter. Inference: 0.0416 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:02:52 [10/24 15:41:10] d2.evaluation.evaluator INFO: Inference done 1391/5258. Dataloading: 0.0012 s/iter. Inference: 0.0420 s/iter. Eval: 0.0005 s/iter. Total: 0.0437 s/iter. ETA=0:02:48 [10/24 15:41:15] d2.evaluation.evaluator INFO: Inference done 1501/5258. Dataloading: 0.0012 s/iter. Inference: 0.0421 s/iter. Eval: 0.0005 s/iter. Total: 0.0438 s/iter. ETA=0:02:44 [10/24 15:41:20] d2.evaluation.evaluator INFO: Inference done 1622/5258. Dataloading: 0.0012 s/iter. Inference: 0.0420 s/iter. Eval: 0.0005 s/iter. Total: 0.0437 s/iter. ETA=0:02:38 [10/24 15:41:25] d2.evaluation.evaluator INFO: Inference done 1731/5258. Dataloading: 0.0012 s/iter. Inference: 0.0421 s/iter. Eval: 0.0005 s/iter. Total: 0.0438 s/iter. ETA=0:02:34 [10/24 15:41:30] d2.evaluation.evaluator INFO: Inference done 1849/5258. Dataloading: 0.0012 s/iter. Inference: 0.0420 s/iter. Eval: 0.0005 s/iter. Total: 0.0437 s/iter. ETA=0:02:29 [10/24 15:41:35] d2.evaluation.evaluator INFO: Inference done 1968/5258. Dataloading: 0.0012 s/iter. Inference: 0.0419 s/iter. Eval: 0.0005 s/iter. Total: 0.0436 s/iter. ETA=0:02:23 [10/24 15:41:40] d2.evaluation.evaluator INFO: Inference done 2091/5258. Dataloading: 0.0012 s/iter. Inference: 0.0418 s/iter. Eval: 0.0005 s/iter. Total: 0.0435 s/iter. ETA=0:02:17 [10/24 15:41:45] d2.evaluation.evaluator INFO: Inference done 2205/5258. Dataloading: 0.0012 s/iter. Inference: 0.0418 s/iter. Eval: 0.0005 s/iter. Total: 0.0435 s/iter. ETA=0:02:12 [10/24 15:41:50] d2.evaluation.evaluator INFO: Inference done 2329/5258. Dataloading: 0.0012 s/iter. Inference: 0.0417 s/iter. Eval: 0.0005 s/iter. Total: 0.0434 s/iter. ETA=0:02:06 [10/24 15:41:56] d2.evaluation.evaluator INFO: Inference done 2449/5258. Dataloading: 0.0012 s/iter. Inference: 0.0416 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:02:01 [10/24 15:42:01] d2.evaluation.evaluator INFO: Inference done 2567/5258. Dataloading: 0.0012 s/iter. Inference: 0.0416 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:01:56 [10/24 15:42:06] d2.evaluation.evaluator INFO: Inference done 2686/5258. Dataloading: 0.0012 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0432 s/iter. ETA=0:01:51 [10/24 15:42:11] d2.evaluation.evaluator INFO: Inference done 2812/5258. Dataloading: 0.0012 s/iter. Inference: 0.0414 s/iter. Eval: 0.0005 s/iter. Total: 0.0431 s/iter. ETA=0:01:45 [10/24 15:42:16] d2.evaluation.evaluator INFO: Inference done 2928/5258. Dataloading: 0.0012 s/iter. Inference: 0.0414 s/iter. Eval: 0.0005 s/iter. Total: 0.0431 s/iter. ETA=0:01:40 [10/24 15:42:21] d2.evaluation.evaluator INFO: Inference done 3050/5258. Dataloading: 0.0012 s/iter. Inference: 0.0413 s/iter. Eval: 0.0005 s/iter. Total: 0.0430 s/iter. ETA=0:01:34 [10/24 15:42:26] d2.evaluation.evaluator INFO: Inference done 3160/5258. Dataloading: 0.0012 s/iter. Inference: 0.0414 s/iter. Eval: 0.0005 s/iter. Total: 0.0431 s/iter. ETA=0:01:30 [10/24 15:42:31] d2.evaluation.evaluator INFO: Inference done 3285/5258. Dataloading: 0.0012 s/iter. Inference: 0.0413 s/iter. Eval: 0.0005 s/iter. Total: 0.0430 s/iter. ETA=0:01:24 [10/24 15:42:36] d2.evaluation.evaluator INFO: Inference done 3402/5258. Dataloading: 0.0012 s/iter. Inference: 0.0413 s/iter. Eval: 0.0005 s/iter. Total: 0.0430 s/iter. ETA=0:01:19 [10/24 15:42:41] d2.evaluation.evaluator INFO: Inference done 3516/5258. Dataloading: 0.0012 s/iter. Inference: 0.0413 s/iter. Eval: 0.0005 s/iter. Total: 0.0430 s/iter. ETA=0:01:14 [10/24 15:42:46] d2.evaluation.evaluator INFO: Inference done 3632/5258. Dataloading: 0.0012 s/iter. Inference: 0.0413 s/iter. Eval: 0.0005 s/iter. Total: 0.0430 s/iter. ETA=0:01:09 [10/24 15:42:51] d2.evaluation.evaluator INFO: Inference done 3756/5258. Dataloading: 0.0012 s/iter. Inference: 0.0412 s/iter. Eval: 0.0005 s/iter. Total: 0.0429 s/iter. ETA=0:01:04 [10/24 15:42:56] d2.evaluation.evaluator INFO: Inference done 3878/5258. Dataloading: 0.0012 s/iter. Inference: 0.0412 s/iter. Eval: 0.0005 s/iter. Total: 0.0429 s/iter. ETA=0:00:59 [10/24 15:43:01] d2.evaluation.evaluator INFO: Inference done 4001/5258. Dataloading: 0.0012 s/iter. Inference: 0.0411 s/iter. Eval: 0.0005 s/iter. Total: 0.0428 s/iter. ETA=0:00:53 [10/24 15:43:06] d2.evaluation.evaluator INFO: Inference done 4121/5258. Dataloading: 0.0012 s/iter. Inference: 0.0411 s/iter. Eval: 0.0005 s/iter. Total: 0.0428 s/iter. ETA=0:00:48 [10/24 15:43:11] d2.evaluation.evaluator INFO: Inference done 4239/5258. Dataloading: 0.0012 s/iter. Inference: 0.0411 s/iter. Eval: 0.0005 s/iter. Total: 0.0428 s/iter. ETA=0:00:43 [10/24 15:43:16] d2.evaluation.evaluator INFO: Inference done 4361/5258. Dataloading: 0.0012 s/iter. Inference: 0.0410 s/iter. Eval: 0.0005 s/iter. Total: 0.0427 s/iter. ETA=0:00:38 [10/24 15:43:21] d2.evaluation.evaluator INFO: Inference done 4481/5258. Dataloading: 0.0012 s/iter. Inference: 0.0410 s/iter. Eval: 0.0005 s/iter. Total: 0.0427 s/iter. ETA=0:00:33 [10/24 15:43:26] d2.evaluation.evaluator INFO: Inference done 4604/5258. Dataloading: 0.0012 s/iter. Inference: 0.0410 s/iter. Eval: 0.0005 s/iter. Total: 0.0426 s/iter. ETA=0:00:27 [10/24 15:43:31] d2.evaluation.evaluator INFO: Inference done 4725/5258. Dataloading: 0.0012 s/iter. Inference: 0.0409 s/iter. Eval: 0.0005 s/iter. Total: 0.0426 s/iter. ETA=0:00:22 [10/24 15:43:36] d2.evaluation.evaluator INFO: Inference done 4847/5258. Dataloading: 0.0012 s/iter. Inference: 0.0409 s/iter. Eval: 0.0005 s/iter. Total: 0.0426 s/iter. ETA=0:00:17 [10/24 15:43:41] d2.evaluation.evaluator INFO: Inference done 4970/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:00:12 [10/24 15:43:46] d2.evaluation.evaluator INFO: Inference done 5081/5258. Dataloading: 0.0012 s/iter. Inference: 0.0409 s/iter. Eval: 0.0005 s/iter. Total: 0.0426 s/iter. ETA=0:00:07 [10/24 15:43:51] d2.evaluation.evaluator INFO: Inference done 5202/5258. Dataloading: 0.0012 s/iter. Inference: 0.0409 s/iter. Eval: 0.0005 s/iter. Total: 0.0426 s/iter. ETA=0:00:02 [10/24 15:43:53] d2.evaluation.evaluator INFO: Total inference time: 0:03:43.605730 (0.042567 s / iter per device, on 1 devices) [10/24 15:43:53] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:34 (0.040874 s / iter per device, on 1 devices) [10/24 15:43:53] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 15:44:58] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 15:44:58] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 15:44:58] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 15:44:58] d2.evaluation.testing INFO: copypaste: 4.7748,10.9449,3.8168 [10/24 15:45:00] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 15:45:00] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 15:45:00] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 15:45:00] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 15:45:01] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0535 s/iter. Eval: 0.0009 s/iter. Total: 0.0554 s/iter. ETA=0:04:50 [10/24 15:45:06] d2.evaluation.evaluator INFO: Inference done 106/5258. Dataloading: 0.0012 s/iter. Inference: 0.0510 s/iter. Eval: 0.0009 s/iter. Total: 0.0532 s/iter. ETA=0:04:33 [10/24 15:45:11] d2.evaluation.evaluator INFO: Inference done 200/5258. Dataloading: 0.0012 s/iter. Inference: 0.0512 s/iter. Eval: 0.0009 s/iter. Total: 0.0534 s/iter. ETA=0:04:29 [10/24 15:45:16] d2.evaluation.evaluator INFO: Inference done 291/5258. Dataloading: 0.0012 s/iter. Inference: 0.0518 s/iter. Eval: 0.0009 s/iter. Total: 0.0540 s/iter. ETA=0:04:28 [10/24 15:45:21] d2.evaluation.evaluator INFO: Inference done 384/5258. Dataloading: 0.0012 s/iter. Inference: 0.0519 s/iter. Eval: 0.0009 s/iter. Total: 0.0540 s/iter. ETA=0:04:23 [10/24 15:45:26] d2.evaluation.evaluator INFO: Inference done 476/5258. Dataloading: 0.0012 s/iter. Inference: 0.0520 s/iter. Eval: 0.0009 s/iter. Total: 0.0541 s/iter. ETA=0:04:18 [10/24 15:45:31] d2.evaluation.evaluator INFO: Inference done 568/5258. Dataloading: 0.0012 s/iter. Inference: 0.0521 s/iter. Eval: 0.0009 s/iter. Total: 0.0542 s/iter. ETA=0:04:14 [10/24 15:45:36] d2.evaluation.evaluator INFO: Inference done 659/5258. Dataloading: 0.0012 s/iter. Inference: 0.0522 s/iter. Eval: 0.0009 s/iter. Total: 0.0543 s/iter. ETA=0:04:09 [10/24 15:45:41] d2.evaluation.evaluator INFO: Inference done 749/5258. Dataloading: 0.0012 s/iter. Inference: 0.0524 s/iter. Eval: 0.0009 s/iter. Total: 0.0545 s/iter. ETA=0:04:05 [10/24 15:45:46] d2.evaluation.evaluator INFO: Inference done 842/5258. Dataloading: 0.0012 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0545 s/iter. ETA=0:04:00 [10/24 15:45:51] d2.evaluation.evaluator INFO: Inference done 933/5258. Dataloading: 0.0012 s/iter. Inference: 0.0524 s/iter. Eval: 0.0009 s/iter. Total: 0.0545 s/iter. ETA=0:03:55 [10/24 15:45:56] d2.evaluation.evaluator INFO: Inference done 1028/5258. Dataloading: 0.0012 s/iter. Inference: 0.0522 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:03:50 [10/24 15:46:02] d2.evaluation.evaluator INFO: Inference done 1121/5258. Dataloading: 0.0012 s/iter. Inference: 0.0522 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:03:44 [10/24 15:46:07] d2.evaluation.evaluator INFO: Inference done 1213/5258. Dataloading: 0.0012 s/iter. Inference: 0.0522 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:03:39 [10/24 15:46:12] d2.evaluation.evaluator INFO: Inference done 1305/5258. Dataloading: 0.0012 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:03:34 [10/24 15:46:17] d2.evaluation.evaluator INFO: Inference done 1397/5258. Dataloading: 0.0012 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:03:30 [10/24 15:46:22] d2.evaluation.evaluator INFO: Inference done 1489/5258. Dataloading: 0.0012 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:03:25 [10/24 15:46:27] d2.evaluation.evaluator INFO: Inference done 1581/5258. Dataloading: 0.0012 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:03:20 [10/24 15:46:32] d2.evaluation.evaluator INFO: Inference done 1674/5258. Dataloading: 0.0012 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:03:15 [10/24 15:46:37] d2.evaluation.evaluator INFO: Inference done 1764/5258. Dataloading: 0.0012 s/iter. Inference: 0.0524 s/iter. Eval: 0.0009 s/iter. Total: 0.0545 s/iter. ETA=0:03:10 [10/24 15:46:42] d2.evaluation.evaluator INFO: Inference done 1856/5258. Dataloading: 0.0012 s/iter. Inference: 0.0524 s/iter. Eval: 0.0009 s/iter. Total: 0.0545 s/iter. ETA=0:03:05 [10/24 15:46:47] d2.evaluation.evaluator INFO: Inference done 1949/5258. Dataloading: 0.0012 s/iter. Inference: 0.0524 s/iter. Eval: 0.0009 s/iter. Total: 0.0545 s/iter. ETA=0:03:00 [10/24 15:46:52] d2.evaluation.evaluator INFO: Inference done 2041/5258. Dataloading: 0.0011 s/iter. Inference: 0.0524 s/iter. Eval: 0.0009 s/iter. Total: 0.0545 s/iter. ETA=0:02:55 [10/24 15:46:57] d2.evaluation.evaluator INFO: Inference done 2134/5258. Dataloading: 0.0011 s/iter. Inference: 0.0524 s/iter. Eval: 0.0009 s/iter. Total: 0.0545 s/iter. ETA=0:02:50 [10/24 15:47:02] d2.evaluation.evaluator INFO: Inference done 2230/5258. Dataloading: 0.0011 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:02:44 [10/24 15:47:07] d2.evaluation.evaluator INFO: Inference done 2329/5258. Dataloading: 0.0011 s/iter. Inference: 0.0521 s/iter. Eval: 0.0009 s/iter. Total: 0.0542 s/iter. ETA=0:02:38 [10/24 15:47:12] d2.evaluation.evaluator INFO: Inference done 2427/5258. Dataloading: 0.0011 s/iter. Inference: 0.0520 s/iter. Eval: 0.0009 s/iter. Total: 0.0541 s/iter. ETA=0:02:33 [10/24 15:47:17] d2.evaluation.evaluator INFO: Inference done 2521/5258. Dataloading: 0.0011 s/iter. Inference: 0.0520 s/iter. Eval: 0.0009 s/iter. Total: 0.0541 s/iter. ETA=0:02:28 [10/24 15:47:22] d2.evaluation.evaluator INFO: Inference done 2613/5258. Dataloading: 0.0011 s/iter. Inference: 0.0520 s/iter. Eval: 0.0009 s/iter. Total: 0.0541 s/iter. ETA=0:02:23 [10/24 15:47:27] d2.evaluation.evaluator INFO: Inference done 2706/5258. Dataloading: 0.0011 s/iter. Inference: 0.0520 s/iter. Eval: 0.0009 s/iter. Total: 0.0541 s/iter. ETA=0:02:18 [10/24 15:47:32] d2.evaluation.evaluator INFO: Inference done 2799/5258. Dataloading: 0.0011 s/iter. Inference: 0.0520 s/iter. Eval: 0.0009 s/iter. Total: 0.0541 s/iter. ETA=0:02:13 [10/24 15:47:37] d2.evaluation.evaluator INFO: Inference done 2891/5258. Dataloading: 0.0011 s/iter. Inference: 0.0521 s/iter. Eval: 0.0009 s/iter. Total: 0.0542 s/iter. ETA=0:02:08 [10/24 15:47:42] d2.evaluation.evaluator INFO: Inference done 2978/5258. Dataloading: 0.0011 s/iter. Inference: 0.0522 s/iter. Eval: 0.0009 s/iter. Total: 0.0543 s/iter. ETA=0:02:03 [10/24 15:47:47] d2.evaluation.evaluator INFO: Inference done 3070/5258. Dataloading: 0.0011 s/iter. Inference: 0.0522 s/iter. Eval: 0.0009 s/iter. Total: 0.0543 s/iter. ETA=0:01:58 [10/24 15:47:52] d2.evaluation.evaluator INFO: Inference done 3162/5258. Dataloading: 0.0011 s/iter. Inference: 0.0522 s/iter. Eval: 0.0009 s/iter. Total: 0.0543 s/iter. ETA=0:01:53 [10/24 15:47:57] d2.evaluation.evaluator INFO: Inference done 3249/5258. Dataloading: 0.0011 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:01:49 [10/24 15:48:02] d2.evaluation.evaluator INFO: Inference done 3339/5258. Dataloading: 0.0011 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:01:44 [10/24 15:48:07] d2.evaluation.evaluator INFO: Inference done 3428/5258. Dataloading: 0.0011 s/iter. Inference: 0.0524 s/iter. Eval: 0.0009 s/iter. Total: 0.0545 s/iter. ETA=0:01:39 [10/24 15:48:12] d2.evaluation.evaluator INFO: Inference done 3521/5258. Dataloading: 0.0011 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0545 s/iter. ETA=0:01:34 [10/24 15:48:17] d2.evaluation.evaluator INFO: Inference done 3613/5258. Dataloading: 0.0011 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0545 s/iter. ETA=0:01:29 [10/24 15:48:22] d2.evaluation.evaluator INFO: Inference done 3706/5258. Dataloading: 0.0011 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:01:24 [10/24 15:48:27] d2.evaluation.evaluator INFO: Inference done 3800/5258. Dataloading: 0.0011 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:01:19 [10/24 15:48:32] d2.evaluation.evaluator INFO: Inference done 3893/5258. Dataloading: 0.0011 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:01:14 [10/24 15:48:37] d2.evaluation.evaluator INFO: Inference done 3984/5258. Dataloading: 0.0011 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:01:09 [10/24 15:48:42] d2.evaluation.evaluator INFO: Inference done 4074/5258. Dataloading: 0.0011 s/iter. Inference: 0.0524 s/iter. Eval: 0.0009 s/iter. Total: 0.0545 s/iter. ETA=0:01:04 [10/24 15:48:48] d2.evaluation.evaluator INFO: Inference done 4171/5258. Dataloading: 0.0011 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:00:59 [10/24 15:48:53] d2.evaluation.evaluator INFO: Inference done 4263/5258. Dataloading: 0.0011 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:00:54 [10/24 15:48:58] d2.evaluation.evaluator INFO: Inference done 4352/5258. Dataloading: 0.0011 s/iter. Inference: 0.0524 s/iter. Eval: 0.0009 s/iter. Total: 0.0545 s/iter. ETA=0:00:49 [10/24 15:49:03] d2.evaluation.evaluator INFO: Inference done 4444/5258. Dataloading: 0.0011 s/iter. Inference: 0.0524 s/iter. Eval: 0.0009 s/iter. Total: 0.0545 s/iter. ETA=0:00:44 [10/24 15:49:08] d2.evaluation.evaluator INFO: Inference done 4537/5258. Dataloading: 0.0011 s/iter. Inference: 0.0524 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:00:39 [10/24 15:49:13] d2.evaluation.evaluator INFO: Inference done 4628/5258. Dataloading: 0.0011 s/iter. Inference: 0.0524 s/iter. Eval: 0.0009 s/iter. Total: 0.0545 s/iter. ETA=0:00:34 [10/24 15:49:18] d2.evaluation.evaluator INFO: Inference done 4721/5258. Dataloading: 0.0011 s/iter. Inference: 0.0524 s/iter. Eval: 0.0009 s/iter. Total: 0.0545 s/iter. ETA=0:00:29 [10/24 15:49:23] d2.evaluation.evaluator INFO: Inference done 4813/5258. Dataloading: 0.0011 s/iter. Inference: 0.0524 s/iter. Eval: 0.0009 s/iter. Total: 0.0545 s/iter. ETA=0:00:24 [10/24 15:49:28] d2.evaluation.evaluator INFO: Inference done 4912/5258. Dataloading: 0.0011 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:00:18 [10/24 15:49:33] d2.evaluation.evaluator INFO: Inference done 5005/5258. Dataloading: 0.0011 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0544 s/iter. ETA=0:00:13 [10/24 15:49:38] d2.evaluation.evaluator INFO: Inference done 5100/5258. Dataloading: 0.0011 s/iter. Inference: 0.0523 s/iter. Eval: 0.0009 s/iter. Total: 0.0543 s/iter. ETA=0:00:08 [10/24 15:49:43] d2.evaluation.evaluator INFO: Inference done 5195/5258. Dataloading: 0.0011 s/iter. Inference: 0.0522 s/iter. Eval: 0.0009 s/iter. Total: 0.0543 s/iter. ETA=0:00:03 [10/24 15:49:46] d2.evaluation.evaluator INFO: Total inference time: 0:04:45.119700 (0.054277 s / iter per device, on 1 devices) [10/24 15:49:46] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:34 (0.052171 s / iter per device, on 1 devices) [10/24 15:49:46] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 15:51:02] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 15:51:02] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 15:51:02] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 15:51:02] d2.evaluation.testing INFO: copypaste: 0.0005,0.0030,0.0000 [10/24 15:51:02] d2.utils.events INFO: eta: 1 day, 4:00:52 iter: 3599 total_loss: 0.7693 loss_cls: 0.04355 loss_box_reg: 0.3614 loss_rpn_cls: 0.03531 loss_rpn_loc: 0.3206 time: 4.0340 data_time: 0.8164 lr: 0.016 max_mem: 15878M [10/24 15:52:23] d2.utils.events INFO: eta: 1 day, 3:58:57 iter: 3619 total_loss: 0.7636 loss_cls: 0.04134 loss_box_reg: 0.3719 loss_rpn_cls: 0.03221 loss_rpn_loc: 0.3274 time: 4.0339 data_time: 0.8309 lr: 0.016 max_mem: 15878M [10/24 15:53:45] d2.utils.events INFO: eta: 1 day, 3:59:26 iter: 3639 total_loss: 0.7539 loss_cls: 0.0375 loss_box_reg: 0.359 loss_rpn_cls: 0.03361 loss_rpn_loc: 0.3135 time: 4.0344 data_time: 0.8417 lr: 0.016 max_mem: 15878M [10/24 15:55:11] d2.utils.events INFO: eta: 1 day, 3:59:34 iter: 3659 total_loss: 0.738 loss_cls: 0.04238 loss_box_reg: 0.3517 loss_rpn_cls: 0.03242 loss_rpn_loc: 0.2979 time: 4.0357 data_time: 0.8382 lr: 0.016 max_mem: 15878M [10/24 15:56:38] d2.utils.events INFO: eta: 1 day, 3:58:26 iter: 3679 total_loss: 0.7919 loss_cls: 0.04126 loss_box_reg: 0.3712 loss_rpn_cls: 0.03654 loss_rpn_loc: 0.3455 time: 4.0376 data_time: 0.8265 lr: 0.016 max_mem: 15878M [10/24 15:57:58] d2.utils.events INFO: eta: 1 day, 3:55:37 iter: 3699 total_loss: 0.7289 loss_cls: 0.03998 loss_box_reg: 0.3551 loss_rpn_cls: 0.03146 loss_rpn_loc: 0.3005 time: 4.0374 data_time: 0.7977 lr: 0.016 max_mem: 15878M [10/24 15:59:19] d2.utils.events INFO: eta: 1 day, 3:55:53 iter: 3719 total_loss: 0.8151 loss_cls: 0.04135 loss_box_reg: 0.4024 loss_rpn_cls: 0.03288 loss_rpn_loc: 0.3494 time: 4.0374 data_time: 0.8344 lr: 0.016 max_mem: 15878M [10/24 16:00:47] d2.utils.events INFO: eta: 1 day, 3:55:12 iter: 3739 total_loss: 0.7418 loss_cls: 0.04051 loss_box_reg: 0.3658 loss_rpn_cls: 0.03427 loss_rpn_loc: 0.3198 time: 4.0393 data_time: 0.8822 lr: 0.016 max_mem: 15878M [10/24 16:02:12] d2.utils.events INFO: eta: 1 day, 3:54:15 iter: 3759 total_loss: 0.8047 loss_cls: 0.0423 loss_box_reg: 0.3831 loss_rpn_cls: 0.03456 loss_rpn_loc: 0.3323 time: 4.0403 data_time: 0.8323 lr: 0.016 max_mem: 15878M [10/24 16:03:33] d2.utils.events INFO: eta: 1 day, 3:52:51 iter: 3779 total_loss: 0.7377 loss_cls: 0.0371 loss_box_reg: 0.3378 loss_rpn_cls: 0.03078 loss_rpn_loc: 0.3142 time: 4.0405 data_time: 0.8355 lr: 0.016 max_mem: 15878M [10/24 16:04:53] d2.utils.events INFO: eta: 1 day, 3:50:47 iter: 3799 total_loss: 0.6891 loss_cls: 0.03568 loss_box_reg: 0.3117 loss_rpn_cls: 0.02978 loss_rpn_loc: 0.3019 time: 4.0403 data_time: 0.8258 lr: 0.016 max_mem: 15878M [10/24 16:06:19] d2.utils.events INFO: eta: 1 day, 3:49:22 iter: 3819 total_loss: 0.7178 loss_cls: 0.04118 loss_box_reg: 0.3658 loss_rpn_cls: 0.03233 loss_rpn_loc: 0.3092 time: 4.0416 data_time: 0.8220 lr: 0.016 max_mem: 15878M [10/24 16:07:56] d2.utils.events INFO: eta: 1 day, 3:48:30 iter: 3839 total_loss: 0.7317 loss_cls: 0.04022 loss_box_reg: 0.3775 loss_rpn_cls: 0.03432 loss_rpn_loc: 0.3258 time: 4.0458 data_time: 0.8686 lr: 0.016 max_mem: 15878M [10/24 16:09:19] d2.utils.events INFO: eta: 1 day, 3:47:52 iter: 3859 total_loss: 0.7757 loss_cls: 0.04056 loss_box_reg: 0.3502 loss_rpn_cls: 0.03504 loss_rpn_loc: 0.3261 time: 4.0464 data_time: 0.8302 lr: 0.016 max_mem: 15878M [10/24 16:10:36] d2.utils.events INFO: eta: 1 day, 3:45:57 iter: 3879 total_loss: 0.7671 loss_cls: 0.04085 loss_box_reg: 0.3854 loss_rpn_cls: 0.03175 loss_rpn_loc: 0.3099 time: 4.0452 data_time: 0.8594 lr: 0.016 max_mem: 15878M [10/24 16:12:01] d2.utils.events INFO: eta: 1 day, 3:44:24 iter: 3899 total_loss: 0.8096 loss_cls: 0.0428 loss_box_reg: 0.3974 loss_rpn_cls: 0.03209 loss_rpn_loc: 0.3274 time: 4.0463 data_time: 0.8186 lr: 0.016 max_mem: 15878M [10/24 16:13:15] d2.utils.events INFO: eta: 1 day, 3:41:28 iter: 3919 total_loss: 0.7816 loss_cls: 0.03976 loss_box_reg: 0.3773 loss_rpn_cls: 0.03209 loss_rpn_loc: 0.3264 time: 4.0447 data_time: 0.8577 lr: 0.016 max_mem: 15878M [10/24 16:14:33] d2.utils.events INFO: eta: 1 day, 3:39:38 iter: 3939 total_loss: 0.7115 loss_cls: 0.03633 loss_box_reg: 0.3427 loss_rpn_cls: 0.03117 loss_rpn_loc: 0.3084 time: 4.0438 data_time: 0.8413 lr: 0.016 max_mem: 15878M [10/24 16:15:59] d2.utils.events INFO: eta: 1 day, 3:35:52 iter: 3959 total_loss: 0.762 loss_cls: 0.03977 loss_box_reg: 0.3562 loss_rpn_cls: 0.03123 loss_rpn_loc: 0.3384 time: 4.0451 data_time: 0.8280 lr: 0.016 max_mem: 15878M [10/24 16:17:29] d2.utils.events INFO: eta: 1 day, 3:36:41 iter: 3979 total_loss: 0.7399 loss_cls: 0.0431 loss_box_reg: 0.3636 loss_rpn_cls: 0.03168 loss_rpn_loc: 0.3112 time: 4.0474 data_time: 0.8355 lr: 0.016 max_mem: 15878M [10/24 16:18:47] fvcore.common.checkpoint INFO: Saving checkpoint to ./output/k2bdd/model_0003999.pth [10/24 16:18:55] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 16:18:55] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 16:18:55] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 16:18:55] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 16:18:56] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:03:38 [10/24 16:19:01] d2.evaluation.evaluator INFO: Inference done 129/5258. Dataloading: 0.0012 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:03:38 [10/24 16:19:06] d2.evaluation.evaluator INFO: Inference done 244/5258. Dataloading: 0.0012 s/iter. Inference: 0.0417 s/iter. Eval: 0.0004 s/iter. Total: 0.0433 s/iter. ETA=0:03:37 [10/24 16:19:11] d2.evaluation.evaluator INFO: Inference done 368/5258. Dataloading: 0.0012 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:03:27 [10/24 16:19:16] d2.evaluation.evaluator INFO: Inference done 487/5258. Dataloading: 0.0012 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0423 s/iter. ETA=0:03:21 [10/24 16:19:21] d2.evaluation.evaluator INFO: Inference done 608/5258. Dataloading: 0.0012 s/iter. Inference: 0.0405 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:03:16 [10/24 16:19:26] d2.evaluation.evaluator INFO: Inference done 720/5258. Dataloading: 0.0012 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:03:13 [10/24 16:19:31] d2.evaluation.evaluator INFO: Inference done 841/5258. Dataloading: 0.0012 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:03:07 [10/24 16:19:36] d2.evaluation.evaluator INFO: Inference done 952/5258. Dataloading: 0.0012 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0428 s/iter. ETA=0:03:04 [10/24 16:19:41] d2.evaluation.evaluator INFO: Inference done 1068/5258. Dataloading: 0.0012 s/iter. Inference: 0.0412 s/iter. Eval: 0.0004 s/iter. Total: 0.0428 s/iter. ETA=0:02:59 [10/24 16:19:46] d2.evaluation.evaluator INFO: Inference done 1188/5258. Dataloading: 0.0012 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0427 s/iter. ETA=0:02:53 [10/24 16:19:51] d2.evaluation.evaluator INFO: Inference done 1303/5258. Dataloading: 0.0012 s/iter. Inference: 0.0412 s/iter. Eval: 0.0004 s/iter. Total: 0.0428 s/iter. ETA=0:02:49 [10/24 16:19:56] d2.evaluation.evaluator INFO: Inference done 1423/5258. Dataloading: 0.0012 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0427 s/iter. ETA=0:02:43 [10/24 16:20:01] d2.evaluation.evaluator INFO: Inference done 1544/5258. Dataloading: 0.0012 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:02:38 [10/24 16:20:06] d2.evaluation.evaluator INFO: Inference done 1662/5258. Dataloading: 0.0012 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:02:33 [10/24 16:20:11] d2.evaluation.evaluator INFO: Inference done 1783/5258. Dataloading: 0.0012 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:02:27 [10/24 16:20:16] d2.evaluation.evaluator INFO: Inference done 1903/5258. Dataloading: 0.0012 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:02:22 [10/24 16:20:21] d2.evaluation.evaluator INFO: Inference done 2020/5258. Dataloading: 0.0012 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:02:17 [10/24 16:20:26] d2.evaluation.evaluator INFO: Inference done 2134/5258. Dataloading: 0.0012 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:02:13 [10/24 16:20:31] d2.evaluation.evaluator INFO: Inference done 2254/5258. Dataloading: 0.0012 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. 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ETA=0:01:41 [10/24 16:21:02] d2.evaluation.evaluator INFO: Inference done 2989/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:01:35 [10/24 16:21:07] d2.evaluation.evaluator INFO: Inference done 3104/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:01:30 [10/24 16:21:12] d2.evaluation.evaluator INFO: Inference done 3226/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:01:25 [10/24 16:21:17] d2.evaluation.evaluator INFO: Inference done 3354/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0004 s/iter. Total: 0.0421 s/iter. ETA=0:01:20 [10/24 16:21:22] d2.evaluation.evaluator INFO: Inference done 3476/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0004 s/iter. Total: 0.0420 s/iter. ETA=0:01:14 [10/24 16:21:27] d2.evaluation.evaluator INFO: Inference done 3585/5258. 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Total: 0.0422 s/iter. ETA=0:00:45 [10/24 16:21:57] d2.evaluation.evaluator INFO: Inference done 4288/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0423 s/iter. ETA=0:00:40 [10/24 16:22:02] d2.evaluation.evaluator INFO: Inference done 4401/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0423 s/iter. ETA=0:00:36 [10/24 16:22:07] d2.evaluation.evaluator INFO: Inference done 4525/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0423 s/iter. ETA=0:00:30 [10/24 16:22:12] d2.evaluation.evaluator INFO: Inference done 4644/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0423 s/iter. ETA=0:00:25 [10/24 16:22:17] d2.evaluation.evaluator INFO: Inference done 4760/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0423 s/iter. ETA=0:00:21 [10/24 16:22:22] d2.evaluation.evaluator INFO: Inference done 4876/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0423 s/iter. ETA=0:00:16 [10/24 16:22:27] d2.evaluation.evaluator INFO: Inference done 5002/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:00:10 [10/24 16:22:32] d2.evaluation.evaluator INFO: Inference done 5126/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:00:05 [10/24 16:22:37] d2.evaluation.evaluator INFO: Inference done 5243/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:00:00 [10/24 16:22:38] d2.evaluation.evaluator INFO: Total inference time: 0:03:41.783111 (0.042220 s / iter per device, on 1 devices) [10/24 16:22:38] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:33 (0.040660 s / iter per device, on 1 devices) [10/24 16:22:38] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 16:23:22] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 16:23:22] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 16:23:22] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 16:23:22] d2.evaluation.testing INFO: copypaste: 4.5834,10.4440,3.7451 [10/24 16:23:24] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 16:23:24] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 16:23:24] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 16:23:24] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 16:23:26] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0543 s/iter. Eval: 0.0009 s/iter. Total: 0.0563 s/iter. ETA=0:04:55 [10/24 16:23:31] d2.evaluation.evaluator INFO: Inference done 102/5258. Dataloading: 0.0012 s/iter. Inference: 0.0532 s/iter. Eval: 0.0009 s/iter. Total: 0.0554 s/iter. ETA=0:04:45 [10/24 16:23:36] d2.evaluation.evaluator INFO: Inference done 194/5258. Dataloading: 0.0012 s/iter. Inference: 0.0528 s/iter. Eval: 0.0009 s/iter. Total: 0.0549 s/iter. ETA=0:04:38 [10/24 16:23:41] d2.evaluation.evaluator INFO: Inference done 284/5258. Dataloading: 0.0012 s/iter. 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ETA=0:00:04 [10/24 16:28:12] d2.evaluation.evaluator INFO: Total inference time: 0:04:46.374440 (0.054516 s / iter per device, on 1 devices) [10/24 16:28:12] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:35 (0.052417 s / iter per device, on 1 devices) [10/24 16:28:12] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 16:29:28] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 16:29:28] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 16:29:28] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 16:29:28] d2.evaluation.testing INFO: copypaste: 0.0005,0.0030,0.0000 [10/24 16:29:28] d2.utils.events INFO: eta: 1 day, 3:33:16 iter: 3999 total_loss: 0.7531 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 time: 4.0467 data_time: 0.8483 lr: 0.016 max_mem: 15878M [10/24 16:31:33] d2.utils.events INFO: eta: 1 day, 3:35:13 iter: 4019 total_loss: 2.541 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.07953 loss_box_reg_sup: 0.4703 loss_rpn_cls_sup: 0.07538 loss_rpn_loc_sup: 0.409 loss_cls_unsup: 0.4781 loss_box_reg_unsup: 0.4016 loss_rpn_cls_unsup: 0.2813 loss_rpn_loc_unsup: 0.2837 time: 4.0576 data_time: 0.8306 lr: 0.016 max_mem: 18367M [10/24 16:33:36] d2.utils.events INFO: eta: 1 day, 3:36:31 iter: 4039 total_loss: 2.29 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.07836 loss_box_reg_sup: 0.4134 loss_rpn_cls_sup: 0.06898 loss_rpn_loc_sup: 0.356 loss_cls_unsup: 0.4639 loss_box_reg_unsup: 0.3521 loss_rpn_cls_unsup: 0.245 loss_rpn_loc_unsup: 0.2891 time: 4.0680 data_time: 0.8330 lr: 0.016 max_mem: 18367M [10/24 16:35:42] d2.utils.events INFO: eta: 1 day, 3:37:04 iter: 4059 total_loss: 2.249 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.07378 loss_box_reg_sup: 0.4285 loss_rpn_cls_sup: 0.07854 loss_rpn_loc_sup: 0.36 loss_cls_unsup: 0.4339 loss_box_reg_unsup: 0.3322 loss_rpn_cls_unsup: 0.2726 loss_rpn_loc_unsup: 0.2303 time: 4.0791 data_time: 0.8305 lr: 0.016 max_mem: 18367M [10/24 16:37:47] d2.utils.events INFO: eta: 1 day, 3:39:48 iter: 4079 total_loss: 2.236 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06961 loss_box_reg_sup: 0.4143 loss_rpn_cls_sup: 0.07543 loss_rpn_loc_sup: 0.3816 loss_cls_unsup: 0.4256 loss_box_reg_unsup: 0.3254 loss_rpn_cls_unsup: 0.2623 loss_rpn_loc_unsup: 0.2139 time: 4.0897 data_time: 0.8242 lr: 0.016 max_mem: 18367M [10/24 16:39:51] d2.utils.events INFO: eta: 1 day, 3:43:25 iter: 4099 total_loss: 2.2 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06845 loss_box_reg_sup: 0.4079 loss_rpn_cls_sup: 0.07309 loss_rpn_loc_sup: 0.3552 loss_cls_unsup: 0.4148 loss_box_reg_unsup: 0.3278 loss_rpn_cls_unsup: 0.2635 loss_rpn_loc_unsup: 0.2477 time: 4.1000 data_time: 0.8195 lr: 0.016 max_mem: 18367M [10/24 16:42:03] d2.utils.events INFO: eta: 1 day, 3:44:51 iter: 4119 total_loss: 2.232 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0705 loss_box_reg_sup: 0.4399 loss_rpn_cls_sup: 0.07508 loss_rpn_loc_sup: 0.3906 loss_cls_unsup: 0.4156 loss_box_reg_unsup: 0.3278 loss_rpn_cls_unsup: 0.2674 loss_rpn_loc_unsup: 0.2649 time: 4.1120 data_time: 0.8110 lr: 0.016 max_mem: 18367M [10/24 16:44:24] d2.utils.events INFO: eta: 1 day, 3:49:22 iter: 4139 total_loss: 2.115 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06757 loss_box_reg_sup: 0.4243 loss_rpn_cls_sup: 0.07185 loss_rpn_loc_sup: 0.3596 loss_cls_unsup: 0.4063 loss_box_reg_unsup: 0.3056 loss_rpn_cls_unsup: 0.2555 loss_rpn_loc_unsup: 0.2289 time: 4.1263 data_time: 0.8497 lr: 0.016 max_mem: 18367M [10/24 16:46:49] d2.utils.events INFO: eta: 1 day, 3:55:13 iter: 4159 total_loss: 2.276 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06624 loss_box_reg_sup: 0.4583 loss_rpn_cls_sup: 0.07246 loss_rpn_loc_sup: 0.3692 loss_cls_unsup: 0.4133 loss_box_reg_unsup: 0.325 loss_rpn_cls_unsup: 0.2715 loss_rpn_loc_unsup: 0.2633 time: 4.1412 data_time: 0.8223 lr: 0.016 max_mem: 18367M [10/24 16:48:52] d2.utils.events INFO: eta: 1 day, 3:57:48 iter: 4179 total_loss: 2.25 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0753 loss_box_reg_sup: 0.4413 loss_rpn_cls_sup: 0.06163 loss_rpn_loc_sup: 0.3474 loss_cls_unsup: 0.4233 loss_box_reg_unsup: 0.3281 loss_rpn_cls_unsup: 0.2677 loss_rpn_loc_unsup: 0.2322 time: 4.1509 data_time: 0.7807 lr: 0.016 max_mem: 18367M [10/24 16:51:14] d2.utils.events INFO: eta: 1 day, 4:03:20 iter: 4199 total_loss: 2.238 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06877 loss_box_reg_sup: 0.4389 loss_rpn_cls_sup: 0.07018 loss_rpn_loc_sup: 0.3579 loss_cls_unsup: 0.4244 loss_box_reg_unsup: 0.3273 loss_rpn_cls_unsup: 0.2727 loss_rpn_loc_unsup: 0.2626 time: 4.1649 data_time: 0.8235 lr: 0.016 max_mem: 18367M [10/24 16:53:26] d2.utils.events INFO: eta: 1 day, 4:10:52 iter: 4219 total_loss: 2.204 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06447 loss_box_reg_sup: 0.4205 loss_rpn_cls_sup: 0.07312 loss_rpn_loc_sup: 0.3868 loss_cls_unsup: 0.4077 loss_box_reg_unsup: 0.3168 loss_rpn_cls_unsup: 0.273 loss_rpn_loc_unsup: 0.236 time: 4.1764 data_time: 0.8477 lr: 0.016 max_mem: 18367M [10/24 16:55:59] d2.utils.events INFO: eta: 1 day, 4:17:56 iter: 4239 total_loss: 2.187 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06981 loss_box_reg_sup: 0.4684 loss_rpn_cls_sup: 0.07159 loss_rpn_loc_sup: 0.3588 loss_cls_unsup: 0.3967 loss_box_reg_unsup: 0.3085 loss_rpn_cls_unsup: 0.273 loss_rpn_loc_unsup: 0.2498 time: 4.1927 data_time: 0.8628 lr: 0.016 max_mem: 18367M [10/24 16:58:08] d2.utils.events INFO: eta: 1 day, 4:28:35 iter: 4259 total_loss: 2.154 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06403 loss_box_reg_sup: 0.4153 loss_rpn_cls_sup: 0.07245 loss_rpn_loc_sup: 0.3458 loss_cls_unsup: 0.3919 loss_box_reg_unsup: 0.3015 loss_rpn_cls_unsup: 0.2801 loss_rpn_loc_unsup: 0.2374 time: 4.2035 data_time: 0.8182 lr: 0.016 max_mem: 18367M [10/24 17:00:15] d2.utils.events INFO: eta: 1 day, 4:39:59 iter: 4279 total_loss: 2.249 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.07032 loss_box_reg_sup: 0.4773 loss_rpn_cls_sup: 0.07526 loss_rpn_loc_sup: 0.3768 loss_cls_unsup: 0.3808 loss_box_reg_unsup: 0.2975 loss_rpn_cls_unsup: 0.2786 loss_rpn_loc_unsup: 0.2761 time: 4.2134 data_time: 0.8779 lr: 0.016 max_mem: 18367M [10/24 17:02:24] d2.utils.events INFO: eta: 1 day, 5:00:50 iter: 4299 total_loss: 2.175 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.07079 loss_box_reg_sup: 0.4468 loss_rpn_cls_sup: 0.06841 loss_rpn_loc_sup: 0.3717 loss_cls_unsup: 0.3838 loss_box_reg_unsup: 0.3076 loss_rpn_cls_unsup: 0.2602 loss_rpn_loc_unsup: 0.2283 time: 4.2238 data_time: 0.8155 lr: 0.016 max_mem: 18367M [10/24 17:04:44] d2.utils.events INFO: eta: 1 day, 5:22:30 iter: 4319 total_loss: 2.144 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06443 loss_box_reg_sup: 0.4688 loss_rpn_cls_sup: 0.06941 loss_rpn_loc_sup: 0.3941 loss_cls_unsup: 0.3767 loss_box_reg_unsup: 0.2903 loss_rpn_cls_unsup: 0.271 loss_rpn_loc_unsup: 0.1986 time: 4.2368 data_time: 0.8611 lr: 0.016 max_mem: 18367M [10/24 17:07:20] d2.utils.events INFO: eta: 1 day, 5:49:28 iter: 4339 total_loss: 2.078 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06772 loss_box_reg_sup: 0.4213 loss_rpn_cls_sup: 0.06011 loss_rpn_loc_sup: 0.3358 loss_cls_unsup: 0.399 loss_box_reg_unsup: 0.298 loss_rpn_cls_unsup: 0.2719 loss_rpn_loc_unsup: 0.2237 time: 4.2531 data_time: 0.8480 lr: 0.016 max_mem: 18367M [10/24 17:09:49] d2.utils.events INFO: eta: 1 day, 6:23:17 iter: 4359 total_loss: 2.174 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06631 loss_box_reg_sup: 0.4528 loss_rpn_cls_sup: 0.06191 loss_rpn_loc_sup: 0.3372 loss_cls_unsup: 0.388 loss_box_reg_unsup: 0.2996 loss_rpn_cls_unsup: 0.2755 loss_rpn_loc_unsup: 0.2463 time: 4.2678 data_time: 0.8111 lr: 0.016 max_mem: 18367M [10/24 17:12:03] d2.utils.events INFO: eta: 1 day, 7:54:17 iter: 4379 total_loss: 2.182 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.07134 loss_box_reg_sup: 0.4413 loss_rpn_cls_sup: 0.06729 loss_rpn_loc_sup: 0.4006 loss_cls_unsup: 0.3938 loss_box_reg_unsup: 0.2869 loss_rpn_cls_unsup: 0.2854 loss_rpn_loc_unsup: 0.2696 time: 4.2789 data_time: 0.7734 lr: 0.016 max_mem: 18367M [10/24 17:14:26] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 17:14:27] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 17:14:27] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 17:14:27] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 17:14:28] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0489 s/iter. Eval: 0.0007 s/iter. Total: 0.0505 s/iter. ETA=0:04:24 [10/24 17:14:33] d2.evaluation.evaluator INFO: Inference done 110/5258. Dataloading: 0.0010 s/iter. Inference: 0.0489 s/iter. Eval: 0.0006 s/iter. Total: 0.0506 s/iter. ETA=0:04:20 [10/24 17:14:38] d2.evaluation.evaluator INFO: Inference done 222/5258. Dataloading: 0.0010 s/iter. Inference: 0.0460 s/iter. Eval: 0.0007 s/iter. Total: 0.0477 s/iter. ETA=0:04:00 [10/24 17:14:43] d2.evaluation.evaluator INFO: Inference done 343/5258. Dataloading: 0.0010 s/iter. 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ETA=0:00:01 [10/24 17:18:10] d2.evaluation.evaluator INFO: Total inference time: 0:03:42.407697 (0.042339 s / iter per device, on 1 devices) [10/24 17:18:10] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:33 (0.040558 s / iter per device, on 1 devices) [10/24 17:18:10] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 17:19:58] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 17:19:58] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 17:19:58] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 17:19:58] d2.evaluation.testing INFO: copypaste: 5.0421,11.3326,4.1572 [10/24 17:19:59] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 17:19:59] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 17:19:59] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 17:19:59] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 17:20:01] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0492 s/iter. Eval: 0.0005 s/iter. Total: 0.0507 s/iter. ETA=0:04:26 [10/24 17:20:06] d2.evaluation.evaluator INFO: Inference done 110/5258. Dataloading: 0.0013 s/iter. Inference: 0.0491 s/iter. Eval: 0.0004 s/iter. Total: 0.0509 s/iter. ETA=0:04:21 [10/24 17:20:11] d2.evaluation.evaluator INFO: Inference done 204/5258. Dataloading: 0.0012 s/iter. Inference: 0.0503 s/iter. Eval: 0.0004 s/iter. Total: 0.0520 s/iter. ETA=0:04:22 [10/24 17:20:16] d2.evaluation.evaluator INFO: Inference done 302/5258. Dataloading: 0.0012 s/iter. 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Total: 0.0507 s/iter. ETA=0:00:09 [10/24 17:24:22] d2.evaluation.evaluator INFO: Inference done 5165/5258. Dataloading: 0.0012 s/iter. Inference: 0.0491 s/iter. Eval: 0.0004 s/iter. Total: 0.0507 s/iter. ETA=0:00:04 [10/24 17:24:27] d2.evaluation.evaluator INFO: Total inference time: 0:04:26.409687 (0.050716 s / iter per device, on 1 devices) [10/24 17:24:27] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:17 (0.049088 s / iter per device, on 1 devices) [10/24 17:24:27] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 17:25:19] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 17:25:19] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 17:25:19] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 17:25:19] d2.evaluation.testing INFO: copypaste: 4.8904,10.9570,4.1034 [10/24 17:25:19] d2.utils.events INFO: eta: 1 day, 10:03:03 iter: 4399 total_loss: 2.108 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06016 loss_box_reg_sup: 0.4209 loss_rpn_cls_sup: 0.05992 loss_rpn_loc_sup: 0.3306 loss_cls_unsup: 0.3773 loss_box_reg_unsup: 0.2844 loss_rpn_cls_unsup: 0.258 loss_rpn_loc_unsup: 0.2436 time: 4.2906 data_time: 0.8705 lr: 0.016 max_mem: 18367M [10/24 17:28:04] d2.utils.events INFO: eta: 1 day, 11:50:46 iter: 4419 total_loss: 2.162 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06363 loss_box_reg_sup: 0.4162 loss_rpn_cls_sup: 0.0671 loss_rpn_loc_sup: 0.3819 loss_cls_unsup: 0.3909 loss_box_reg_unsup: 0.3007 loss_rpn_cls_unsup: 0.2794 loss_rpn_loc_unsup: 0.2412 time: 4.3085 data_time: 0.8413 lr: 0.016 max_mem: 18367M [10/24 17:30:52] d2.utils.events INFO: eta: 1 day, 14:26:05 iter: 4439 total_loss: 2.168 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06316 loss_box_reg_sup: 0.4185 loss_rpn_cls_sup: 0.06468 loss_rpn_loc_sup: 0.3726 loss_cls_unsup: 0.3713 loss_box_reg_unsup: 0.2878 loss_rpn_cls_unsup: 0.2847 loss_rpn_loc_unsup: 0.2581 time: 4.3270 data_time: 0.8071 lr: 0.016 max_mem: 18367M [10/24 17:33:26] d2.utils.events INFO: eta: 1 day, 17:50:37 iter: 4459 total_loss: 2.126 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06374 loss_box_reg_sup: 0.42 loss_rpn_cls_sup: 0.06697 loss_rpn_loc_sup: 0.3762 loss_cls_unsup: 0.3811 loss_box_reg_unsup: 0.2835 loss_rpn_cls_unsup: 0.2856 loss_rpn_loc_unsup: 0.2461 time: 4.3420 data_time: 0.8030 lr: 0.016 max_mem: 18367M [10/24 17:35:54] d2.utils.events INFO: eta: 1 day, 18:28:35 iter: 4479 total_loss: 2.112 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06546 loss_box_reg_sup: 0.4576 loss_rpn_cls_sup: 0.06406 loss_rpn_loc_sup: 0.351 loss_cls_unsup: 0.3776 loss_box_reg_unsup: 0.2856 loss_rpn_cls_unsup: 0.2786 loss_rpn_loc_unsup: 0.258 time: 4.3557 data_time: 0.8148 lr: 0.016 max_mem: 18367M [10/24 17:38:04] d2.utils.events INFO: eta: 1 day, 18:38:18 iter: 4499 total_loss: 2.071 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06363 loss_box_reg_sup: 0.4262 loss_rpn_cls_sup: 0.06122 loss_rpn_loc_sup: 0.3638 loss_cls_unsup: 0.3623 loss_box_reg_unsup: 0.2817 loss_rpn_cls_unsup: 0.2829 loss_rpn_loc_unsup: 0.2392 time: 4.3653 data_time: 0.8241 lr: 0.016 max_mem: 18367M [10/24 17:40:33] d2.utils.events INFO: eta: 1 day, 18:45:29 iter: 4519 total_loss: 2.056 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06004 loss_box_reg_sup: 0.4317 loss_rpn_cls_sup: 0.05825 loss_rpn_loc_sup: 0.3553 loss_cls_unsup: 0.3768 loss_box_reg_unsup: 0.28 loss_rpn_cls_unsup: 0.2755 loss_rpn_loc_unsup: 0.2175 time: 4.3790 data_time: 0.8342 lr: 0.016 max_mem: 18367M [10/24 17:42:43] d2.utils.events INFO: eta: 1 day, 18:48:21 iter: 4539 total_loss: 2.006 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05543 loss_box_reg_sup: 0.4008 loss_rpn_cls_sup: 0.05845 loss_rpn_loc_sup: 0.3457 loss_cls_unsup: 0.3722 loss_box_reg_unsup: 0.282 loss_rpn_cls_unsup: 0.2613 loss_rpn_loc_unsup: 0.2138 time: 4.3883 data_time: 0.8276 lr: 0.016 max_mem: 18367M [10/24 17:45:06] d2.utils.events INFO: eta: 1 day, 18:51:04 iter: 4559 total_loss: 2.082 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06485 loss_box_reg_sup: 0.4531 loss_rpn_cls_sup: 0.05814 loss_rpn_loc_sup: 0.3588 loss_cls_unsup: 0.3641 loss_box_reg_unsup: 0.2728 loss_rpn_cls_unsup: 0.2825 loss_rpn_loc_unsup: 0.2227 time: 4.4004 data_time: 0.7810 lr: 0.016 max_mem: 18367M [10/24 17:47:18] d2.utils.events INFO: eta: 1 day, 18:57:50 iter: 4579 total_loss: 2.134 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05722 loss_box_reg_sup: 0.4352 loss_rpn_cls_sup: 0.05981 loss_rpn_loc_sup: 0.3759 loss_cls_unsup: 0.3707 loss_box_reg_unsup: 0.2687 loss_rpn_cls_unsup: 0.2856 loss_rpn_loc_unsup: 0.2475 time: 4.4099 data_time: 0.8491 lr: 0.016 max_mem: 18367M [10/24 17:49:27] d2.utils.events INFO: eta: 1 day, 19:00:35 iter: 4599 total_loss: 2.054 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05897 loss_box_reg_sup: 0.4143 loss_rpn_cls_sup: 0.05796 loss_rpn_loc_sup: 0.3321 loss_cls_unsup: 0.3655 loss_box_reg_unsup: 0.2746 loss_rpn_cls_unsup: 0.2943 loss_rpn_loc_unsup: 0.2273 time: 4.4189 data_time: 0.8201 lr: 0.016 max_mem: 18367M [10/24 17:51:50] d2.utils.events INFO: eta: 1 day, 19:02:11 iter: 4619 total_loss: 2.02 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05842 loss_box_reg_sup: 0.4068 loss_rpn_cls_sup: 0.06336 loss_rpn_loc_sup: 0.3389 loss_cls_unsup: 0.377 loss_box_reg_unsup: 0.2638 loss_rpn_cls_unsup: 0.2855 loss_rpn_loc_unsup: 0.2473 time: 4.4308 data_time: 0.8091 lr: 0.016 max_mem: 18367M [10/24 17:54:14] d2.utils.events INFO: eta: 1 day, 19:06:04 iter: 4639 total_loss: 2.014 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06323 loss_box_reg_sup: 0.4074 loss_rpn_cls_sup: 0.05685 loss_rpn_loc_sup: 0.3385 loss_cls_unsup: 0.366 loss_box_reg_unsup: 0.2644 loss_rpn_cls_unsup: 0.279 loss_rpn_loc_unsup: 0.22 time: 4.4426 data_time: 0.8704 lr: 0.016 max_mem: 18367M [10/24 17:56:30] d2.utils.events INFO: eta: 1 day, 19:06:23 iter: 4659 total_loss: 2.021 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06394 loss_box_reg_sup: 0.4407 loss_rpn_cls_sup: 0.05837 loss_rpn_loc_sup: 0.36 loss_cls_unsup: 0.3651 loss_box_reg_unsup: 0.274 loss_rpn_cls_unsup: 0.2746 loss_rpn_loc_unsup: 0.2243 time: 4.4528 data_time: 0.8305 lr: 0.016 max_mem: 18367M [10/24 17:58:48] d2.utils.events INFO: eta: 1 day, 19:07:09 iter: 4679 total_loss: 2.055 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06098 loss_box_reg_sup: 0.4083 loss_rpn_cls_sup: 0.06055 loss_rpn_loc_sup: 0.3459 loss_cls_unsup: 0.368 loss_box_reg_unsup: 0.2817 loss_rpn_cls_unsup: 0.2831 loss_rpn_loc_unsup: 0.2351 time: 4.4631 data_time: 0.8227 lr: 0.016 max_mem: 18367M [10/24 18:01:02] d2.utils.events INFO: eta: 1 day, 19:07:13 iter: 4699 total_loss: 2.099 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05792 loss_box_reg_sup: 0.4241 loss_rpn_cls_sup: 0.05915 loss_rpn_loc_sup: 0.3489 loss_cls_unsup: 0.3601 loss_box_reg_unsup: 0.2783 loss_rpn_cls_unsup: 0.3013 loss_rpn_loc_unsup: 0.2451 time: 4.4728 data_time: 0.8299 lr: 0.016 max_mem: 18367M [10/24 18:03:32] d2.utils.events INFO: eta: 1 day, 19:07:49 iter: 4719 total_loss: 2.052 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05906 loss_box_reg_sup: 0.4154 loss_rpn_cls_sup: 0.05829 loss_rpn_loc_sup: 0.3157 loss_cls_unsup: 0.3628 loss_box_reg_unsup: 0.28 loss_rpn_cls_unsup: 0.2919 loss_rpn_loc_unsup: 0.2333 time: 4.4856 data_time: 0.8126 lr: 0.016 max_mem: 18367M [10/24 18:05:53] d2.utils.events INFO: eta: 1 day, 19:10:09 iter: 4739 total_loss: 2.078 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06466 loss_box_reg_sup: 0.4537 loss_rpn_cls_sup: 0.05809 loss_rpn_loc_sup: 0.356 loss_cls_unsup: 0.3639 loss_box_reg_unsup: 0.2886 loss_rpn_cls_unsup: 0.2894 loss_rpn_loc_unsup: 0.2182 time: 4.4963 data_time: 0.8549 lr: 0.016 max_mem: 18367M [10/24 18:08:09] d2.utils.events INFO: eta: 1 day, 19:10:23 iter: 4759 total_loss: 2.16 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06506 loss_box_reg_sup: 0.4358 loss_rpn_cls_sup: 0.05771 loss_rpn_loc_sup: 0.3791 loss_cls_unsup: 0.3763 loss_box_reg_unsup: 0.2781 loss_rpn_cls_unsup: 0.2996 loss_rpn_loc_unsup: 0.2413 time: 4.5060 data_time: 0.8052 lr: 0.016 max_mem: 18367M [10/24 18:10:24] d2.utils.events INFO: eta: 1 day, 19:09:17 iter: 4779 total_loss: 2.094 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06402 loss_box_reg_sup: 0.4517 loss_rpn_cls_sup: 0.05602 loss_rpn_loc_sup: 0.3607 loss_cls_unsup: 0.3669 loss_box_reg_unsup: 0.2707 loss_rpn_cls_unsup: 0.2774 loss_rpn_loc_unsup: 0.2201 time: 4.5155 data_time: 0.7971 lr: 0.016 max_mem: 18367M [10/24 18:12:46] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 18:12:46] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 18:12:46] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 18:12:46] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 18:12:47] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0391 s/iter. Eval: 0.0007 s/iter. Total: 0.0408 s/iter. ETA=0:03:34 [10/24 18:12:52] d2.evaluation.evaluator INFO: Inference done 136/5258. Dataloading: 0.0011 s/iter. Inference: 0.0385 s/iter. Eval: 0.0007 s/iter. Total: 0.0404 s/iter. ETA=0:03:26 [10/24 18:12:57] d2.evaluation.evaluator INFO: Inference done 254/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0007 s/iter. Total: 0.0415 s/iter. ETA=0:03:27 [10/24 18:13:02] d2.evaluation.evaluator INFO: Inference done 357/5258. Dataloading: 0.0012 s/iter. 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ETA=0:01:44 [10/24 18:14:53] d2.evaluation.evaluator INFO: Inference done 2941/5258. Dataloading: 0.0011 s/iter. Inference: 0.0410 s/iter. Eval: 0.0007 s/iter. Total: 0.0428 s/iter. ETA=0:01:39 [10/24 18:14:58] d2.evaluation.evaluator INFO: Inference done 3064/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0007 s/iter. Total: 0.0428 s/iter. ETA=0:01:33 [10/24 18:15:03] d2.evaluation.evaluator INFO: Inference done 3185/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0007 s/iter. Total: 0.0427 s/iter. ETA=0:01:28 [10/24 18:15:08] d2.evaluation.evaluator INFO: Inference done 3299/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0007 s/iter. Total: 0.0428 s/iter. ETA=0:01:23 [10/24 18:15:13] d2.evaluation.evaluator INFO: Inference done 3423/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0007 s/iter. Total: 0.0427 s/iter. ETA=0:01:18 [10/24 18:15:18] d2.evaluation.evaluator INFO: Inference done 3534/5258. 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ETA=0:00:25 [10/24 18:16:13] d2.evaluation.evaluator INFO: Inference done 4757/5258. Dataloading: 0.0011 s/iter. Inference: 0.0415 s/iter. Eval: 0.0007 s/iter. Total: 0.0434 s/iter. ETA=0:00:21 [10/24 18:16:18] d2.evaluation.evaluator INFO: Inference done 4864/5258. Dataloading: 0.0011 s/iter. Inference: 0.0416 s/iter. Eval: 0.0007 s/iter. Total: 0.0435 s/iter. ETA=0:00:17 [10/24 18:16:23] d2.evaluation.evaluator INFO: Inference done 4989/5258. Dataloading: 0.0011 s/iter. Inference: 0.0415 s/iter. Eval: 0.0007 s/iter. Total: 0.0434 s/iter. ETA=0:00:11 [10/24 18:16:28] d2.evaluation.evaluator INFO: Inference done 5116/5258. Dataloading: 0.0011 s/iter. Inference: 0.0415 s/iter. Eval: 0.0007 s/iter. Total: 0.0433 s/iter. ETA=0:00:06 [10/24 18:16:33] d2.evaluation.evaluator INFO: Inference done 5244/5258. Dataloading: 0.0011 s/iter. Inference: 0.0414 s/iter. Eval: 0.0007 s/iter. Total: 0.0432 s/iter. ETA=0:00:00 [10/24 18:16:34] d2.evaluation.evaluator INFO: Total inference time: 0:03:46.852247 (0.043185 s / iter per device, on 1 devices) [10/24 18:16:34] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:37 (0.041343 s / iter per device, on 1 devices) [10/24 18:16:34] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 18:18:31] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 18:18:31] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 18:18:31] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 18:18:31] d2.evaluation.testing INFO: copypaste: 4.9075,11.0317,4.0832 [10/24 18:18:33] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 18:18:33] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 18:18:33] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 18:18:33] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 18:18:34] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0492 s/iter. Eval: 0.0004 s/iter. Total: 0.0505 s/iter. ETA=0:04:25 [10/24 18:18:39] d2.evaluation.evaluator INFO: Inference done 113/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:04:13 [10/24 18:18:44] d2.evaluation.evaluator INFO: Inference done 215/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0004 s/iter. Total: 0.0492 s/iter. ETA=0:04:07 [10/24 18:18:49] d2.evaluation.evaluator INFO: Inference done 316/5258. Dataloading: 0.0010 s/iter. 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ETA=0:03:38 [10/24 18:19:19] d2.evaluation.evaluator INFO: Inference done 925/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:03:33 [10/24 18:19:24] d2.evaluation.evaluator INFO: Inference done 1028/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:03:28 [10/24 18:19:29] d2.evaluation.evaluator INFO: Inference done 1130/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:03:23 [10/24 18:19:34] d2.evaluation.evaluator INFO: Inference done 1225/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:03:20 [10/24 18:19:39] d2.evaluation.evaluator INFO: Inference done 1326/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:03:15 [10/24 18:19:44] d2.evaluation.evaluator INFO: Inference done 1428/5258. 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ETA=0:00:59 [10/24 18:22:00] d2.evaluation.evaluator INFO: Inference done 4165/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:00:54 [10/24 18:22:05] d2.evaluation.evaluator INFO: Inference done 4265/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:00:49 [10/24 18:22:10] d2.evaluation.evaluator INFO: Inference done 4365/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:00:44 [10/24 18:22:15] d2.evaluation.evaluator INFO: Inference done 4465/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:00:39 [10/24 18:22:20] d2.evaluation.evaluator INFO: Inference done 4562/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:00:34 [10/24 18:22:25] d2.evaluation.evaluator INFO: Inference done 4661/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:00:29 [10/24 18:22:30] d2.evaluation.evaluator INFO: Inference done 4762/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:00:24 [10/24 18:22:35] d2.evaluation.evaluator INFO: Inference done 4863/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:00:19 [10/24 18:22:40] d2.evaluation.evaluator INFO: Inference done 4966/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:00:14 [10/24 18:22:45] d2.evaluation.evaluator INFO: Inference done 5067/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:00:09 [10/24 18:22:50] d2.evaluation.evaluator INFO: Inference done 5168/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:00:04 [10/24 18:22:54] d2.evaluation.evaluator INFO: Total inference time: 0:04:20.829408 (0.049653 s / iter per device, on 1 devices) [10/24 18:22:54] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:12 (0.048162 s / iter per device, on 1 devices) [10/24 18:22:55] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 18:23:52] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 18:23:52] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 18:23:52] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 18:23:52] d2.evaluation.testing INFO: copypaste: 5.1556,11.5081,4.3319 [10/24 18:23:52] d2.utils.events INFO: eta: 1 day, 19:08:32 iter: 4799 total_loss: 2.107 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05661 loss_box_reg_sup: 0.4173 loss_rpn_cls_sup: 0.05607 loss_rpn_loc_sup: 0.3589 loss_cls_unsup: 0.3553 loss_box_reg_unsup: 0.2823 loss_rpn_cls_unsup: 0.3157 loss_rpn_loc_unsup: 0.2176 time: 4.5249 data_time: 0.7778 lr: 0.016 max_mem: 18367M [10/24 18:26:09] d2.utils.events INFO: eta: 1 day, 19:09:18 iter: 4819 total_loss: 2.07 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06163 loss_box_reg_sup: 0.4431 loss_rpn_cls_sup: 0.05606 loss_rpn_loc_sup: 0.36 loss_cls_unsup: 0.3764 loss_box_reg_unsup: 0.2654 loss_rpn_cls_unsup: 0.2963 loss_rpn_loc_unsup: 0.2095 time: 4.5345 data_time: 0.8388 lr: 0.016 max_mem: 18367M [10/24 18:28:20] d2.utils.events INFO: eta: 1 day, 19:08:31 iter: 4839 total_loss: 2.058 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05849 loss_box_reg_sup: 0.4212 loss_rpn_cls_sup: 0.05403 loss_rpn_loc_sup: 0.3482 loss_cls_unsup: 0.3594 loss_box_reg_unsup: 0.2616 loss_rpn_cls_unsup: 0.2799 loss_rpn_loc_unsup: 0.2396 time: 4.5428 data_time: 0.8976 lr: 0.016 max_mem: 18367M [10/24 18:30:42] d2.utils.events INFO: eta: 1 day, 19:08:24 iter: 4859 total_loss: 2.049 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06124 loss_box_reg_sup: 0.4244 loss_rpn_cls_sup: 0.06015 loss_rpn_loc_sup: 0.3606 loss_cls_unsup: 0.3586 loss_box_reg_unsup: 0.2588 loss_rpn_cls_unsup: 0.2926 loss_rpn_loc_unsup: 0.2208 time: 4.5534 data_time: 0.8851 lr: 0.016 max_mem: 18367M [10/24 18:33:10] d2.utils.events INFO: eta: 1 day, 19:08:51 iter: 4879 total_loss: 1.975 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05703 loss_box_reg_sup: 0.3969 loss_rpn_cls_sup: 0.05475 loss_rpn_loc_sup: 0.3434 loss_cls_unsup: 0.3558 loss_box_reg_unsup: 0.2649 loss_rpn_cls_unsup: 0.2912 loss_rpn_loc_unsup: 0.2024 time: 4.5651 data_time: 0.8362 lr: 0.016 max_mem: 18367M [10/24 18:35:21] d2.utils.events INFO: eta: 1 day, 19:08:35 iter: 4899 total_loss: 2.082 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06289 loss_box_reg_sup: 0.4367 loss_rpn_cls_sup: 0.05746 loss_rpn_loc_sup: 0.3495 loss_cls_unsup: 0.367 loss_box_reg_unsup: 0.2624 loss_rpn_cls_unsup: 0.3053 loss_rpn_loc_unsup: 0.2146 time: 4.5731 data_time: 0.8286 lr: 0.016 max_mem: 18367M [10/24 18:37:41] d2.utils.events INFO: eta: 1 day, 19:08:39 iter: 4919 total_loss: 2.025 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05518 loss_box_reg_sup: 0.4116 loss_rpn_cls_sup: 0.05052 loss_rpn_loc_sup: 0.3348 loss_cls_unsup: 0.3641 loss_box_reg_unsup: 0.262 loss_rpn_cls_unsup: 0.2957 loss_rpn_loc_unsup: 0.2528 time: 4.5830 data_time: 0.8694 lr: 0.016 max_mem: 18367M [10/24 18:40:02] d2.utils.events INFO: eta: 1 day, 19:09:05 iter: 4939 total_loss: 2.088 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.06072 loss_box_reg_sup: 0.413 loss_rpn_cls_sup: 0.0541 loss_rpn_loc_sup: 0.3867 loss_cls_unsup: 0.3544 loss_box_reg_unsup: 0.2823 loss_rpn_cls_unsup: 0.2946 loss_rpn_loc_unsup: 0.2858 time: 4.5930 data_time: 0.8272 lr: 0.016 max_mem: 18367M [10/24 18:42:12] d2.utils.events INFO: eta: 1 day, 19:08:09 iter: 4959 total_loss: 2.079 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0572 loss_box_reg_sup: 0.417 loss_rpn_cls_sup: 0.05558 loss_rpn_loc_sup: 0.3499 loss_cls_unsup: 0.3616 loss_box_reg_unsup: 0.2804 loss_rpn_cls_unsup: 0.3032 loss_rpn_loc_unsup: 0.2502 time: 4.6008 data_time: 0.8260 lr: 0.016 max_mem: 18367M [10/24 18:44:15] d2.utils.events INFO: eta: 1 day, 19:07:01 iter: 4979 total_loss: 2.032 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05872 loss_box_reg_sup: 0.4101 loss_rpn_cls_sup: 0.05733 loss_rpn_loc_sup: 0.3381 loss_cls_unsup: 0.3679 loss_box_reg_unsup: 0.2648 loss_rpn_cls_unsup: 0.2804 loss_rpn_loc_unsup: 0.2055 time: 4.6070 data_time: 0.8484 lr: 0.016 max_mem: 18367M [10/24 18:46:21] d2.utils.events INFO: eta: 1 day, 19:07:18 iter: 4999 total_loss: 2.063 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05762 loss_box_reg_sup: 0.4341 loss_rpn_cls_sup: 0.05501 loss_rpn_loc_sup: 0.363 loss_cls_unsup: 0.3589 loss_box_reg_unsup: 0.2532 loss_rpn_cls_unsup: 0.326 loss_rpn_loc_unsup: 0.203 time: 4.6137 data_time: 0.8406 lr: 0.016 max_mem: 18367M [10/24 18:48:30] d2.utils.events INFO: eta: 1 day, 19:06:19 iter: 5019 total_loss: 2.015 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05695 loss_box_reg_sup: 0.4327 loss_rpn_cls_sup: 0.06045 loss_rpn_loc_sup: 0.3524 loss_cls_unsup: 0.3522 loss_box_reg_unsup: 0.2644 loss_rpn_cls_unsup: 0.2953 loss_rpn_loc_unsup: 0.2423 time: 4.6210 data_time: 0.8537 lr: 0.016 max_mem: 18367M [10/24 18:50:38] d2.utils.events INFO: eta: 1 day, 19:05:27 iter: 5039 total_loss: 1.958 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05192 loss_box_reg_sup: 0.4059 loss_rpn_cls_sup: 0.05091 loss_rpn_loc_sup: 0.3203 loss_cls_unsup: 0.345 loss_box_reg_unsup: 0.2524 loss_rpn_cls_unsup: 0.3202 loss_rpn_loc_unsup: 0.2004 time: 4.6281 data_time: 0.8646 lr: 0.016 max_mem: 18367M [10/24 18:52:48] d2.utils.events INFO: eta: 1 day, 19:04:20 iter: 5059 total_loss: 2.052 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05774 loss_box_reg_sup: 0.415 loss_rpn_cls_sup: 0.05493 loss_rpn_loc_sup: 0.3354 loss_cls_unsup: 0.3529 loss_box_reg_unsup: 0.2549 loss_rpn_cls_unsup: 0.3169 loss_rpn_loc_unsup: 0.2114 time: 4.6354 data_time: 0.8485 lr: 0.016 max_mem: 18367M [10/24 18:54:52] d2.utils.events INFO: eta: 1 day, 19:02:16 iter: 5079 total_loss: 1.966 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05715 loss_box_reg_sup: 0.412 loss_rpn_cls_sup: 0.05388 loss_rpn_loc_sup: 0.3391 loss_cls_unsup: 0.3533 loss_box_reg_unsup: 0.2468 loss_rpn_cls_unsup: 0.2997 loss_rpn_loc_unsup: 0.2322 time: 4.6417 data_time: 0.8763 lr: 0.016 max_mem: 18367M [10/24 18:56:57] d2.utils.events INFO: eta: 1 day, 19:00:18 iter: 5099 total_loss: 1.998 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05438 loss_box_reg_sup: 0.4213 loss_rpn_cls_sup: 0.04983 loss_rpn_loc_sup: 0.3453 loss_cls_unsup: 0.3599 loss_box_reg_unsup: 0.2532 loss_rpn_cls_unsup: 0.3133 loss_rpn_loc_unsup: 0.2129 time: 4.6479 data_time: 0.8467 lr: 0.016 max_mem: 18367M [10/24 18:59:10] d2.utils.events INFO: eta: 1 day, 18:58:28 iter: 5119 total_loss: 2.008 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05842 loss_box_reg_sup: 0.4133 loss_rpn_cls_sup: 0.05308 loss_rpn_loc_sup: 0.3278 loss_cls_unsup: 0.3468 loss_box_reg_unsup: 0.2613 loss_rpn_cls_unsup: 0.3025 loss_rpn_loc_unsup: 0.2134 time: 4.6558 data_time: 0.8202 lr: 0.016 max_mem: 18367M [10/24 19:01:31] d2.utils.events INFO: eta: 1 day, 18:56:23 iter: 5139 total_loss: 2.035 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04823 loss_box_reg_sup: 0.4128 loss_rpn_cls_sup: 0.04882 loss_rpn_loc_sup: 0.3365 loss_cls_unsup: 0.3581 loss_box_reg_unsup: 0.2553 loss_rpn_cls_unsup: 0.3253 loss_rpn_loc_unsup: 0.2418 time: 4.6651 data_time: 0.8013 lr: 0.016 max_mem: 18367M [10/24 19:03:44] d2.utils.events INFO: eta: 1 day, 18:52:30 iter: 5159 total_loss: 1.993 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05467 loss_box_reg_sup: 0.4064 loss_rpn_cls_sup: 0.05294 loss_rpn_loc_sup: 0.3577 loss_cls_unsup: 0.3509 loss_box_reg_unsup: 0.2512 loss_rpn_cls_unsup: 0.3045 loss_rpn_loc_unsup: 0.1923 time: 4.6728 data_time: 0.7889 lr: 0.016 max_mem: 18367M [10/24 19:05:49] d2.utils.events INFO: eta: 1 day, 18:52:06 iter: 5179 total_loss: 1.952 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05698 loss_box_reg_sup: 0.3952 loss_rpn_cls_sup: 0.05143 loss_rpn_loc_sup: 0.3202 loss_cls_unsup: 0.3452 loss_box_reg_unsup: 0.245 loss_rpn_cls_unsup: 0.3172 loss_rpn_loc_unsup: 0.208 time: 4.6788 data_time: 0.8529 lr: 0.016 max_mem: 18367M [10/24 19:07:58] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 19:07:58] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 19:07:58] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 19:07:58] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 19:07:59] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0442 s/iter. Eval: 0.0006 s/iter. Total: 0.0457 s/iter. ETA=0:03:59 [10/24 19:08:04] d2.evaluation.evaluator INFO: Inference done 125/5258. Dataloading: 0.0011 s/iter. Inference: 0.0424 s/iter. Eval: 0.0006 s/iter. Total: 0.0440 s/iter. ETA=0:03:46 [10/24 19:08:09] d2.evaluation.evaluator INFO: Inference done 247/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0006 s/iter. Total: 0.0426 s/iter. ETA=0:03:33 [10/24 19:08:14] d2.evaluation.evaluator INFO: Inference done 366/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0006 s/iter. Total: 0.0425 s/iter. ETA=0:03:27 [10/24 19:08:19] d2.evaluation.evaluator INFO: Inference done 479/5258. Dataloading: 0.0011 s/iter. Inference: 0.0412 s/iter. Eval: 0.0006 s/iter. Total: 0.0429 s/iter. ETA=0:03:25 [10/24 19:08:24] d2.evaluation.evaluator INFO: Inference done 605/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0006 s/iter. Total: 0.0423 s/iter. ETA=0:03:16 [10/24 19:08:29] d2.evaluation.evaluator INFO: Inference done 724/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0006 s/iter. Total: 0.0422 s/iter. ETA=0:03:11 [10/24 19:08:34] d2.evaluation.evaluator INFO: Inference done 843/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0006 s/iter. Total: 0.0422 s/iter. ETA=0:03:06 [10/24 19:08:39] d2.evaluation.evaluator INFO: Inference done 957/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0006 s/iter. Total: 0.0424 s/iter. ETA=0:03:02 [10/24 19:08:44] d2.evaluation.evaluator INFO: Inference done 1082/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0006 s/iter. Total: 0.0422 s/iter. ETA=0:02:56 [10/24 19:08:49] d2.evaluation.evaluator INFO: Inference done 1206/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0006 s/iter. Total: 0.0420 s/iter. ETA=0:02:50 [10/24 19:08:54] d2.evaluation.evaluator INFO: Inference done 1325/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0006 s/iter. Total: 0.0420 s/iter. ETA=0:02:45 [10/24 19:08:59] d2.evaluation.evaluator INFO: Inference done 1445/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0006 s/iter. Total: 0.0420 s/iter. ETA=0:02:40 [10/24 19:09:04] d2.evaluation.evaluator INFO: Inference done 1567/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0006 s/iter. Total: 0.0419 s/iter. ETA=0:02:34 [10/24 19:09:09] d2.evaluation.evaluator INFO: Inference done 1687/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0006 s/iter. Total: 0.0419 s/iter. ETA=0:02:29 [10/24 19:09:14] d2.evaluation.evaluator INFO: Inference done 1815/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0006 s/iter. Total: 0.0417 s/iter. ETA=0:02:23 [10/24 19:09:19] d2.evaluation.evaluator INFO: Inference done 1940/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0006 s/iter. Total: 0.0416 s/iter. ETA=0:02:18 [10/24 19:09:24] d2.evaluation.evaluator INFO: Inference done 2060/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0006 s/iter. Total: 0.0416 s/iter. ETA=0:02:13 [10/24 19:09:29] d2.evaluation.evaluator INFO: Inference done 2181/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0006 s/iter. Total: 0.0416 s/iter. ETA=0:02:08 [10/24 19:09:35] d2.evaluation.evaluator INFO: Inference done 2304/5258. Dataloading: 0.0011 s/iter. Inference: 0.0399 s/iter. Eval: 0.0006 s/iter. Total: 0.0416 s/iter. ETA=0:02:02 [10/24 19:09:40] d2.evaluation.evaluator INFO: Inference done 2431/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0006 s/iter. Total: 0.0415 s/iter. ETA=0:01:57 [10/24 19:09:45] d2.evaluation.evaluator INFO: Inference done 2548/5258. Dataloading: 0.0011 s/iter. Inference: 0.0399 s/iter. Eval: 0.0006 s/iter. Total: 0.0415 s/iter. ETA=0:01:52 [10/24 19:09:50] d2.evaluation.evaluator INFO: Inference done 2675/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0006 s/iter. Total: 0.0414 s/iter. ETA=0:01:47 [10/24 19:09:55] d2.evaluation.evaluator INFO: Inference done 2797/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0006 s/iter. Total: 0.0414 s/iter. ETA=0:01:41 [10/24 19:10:00] d2.evaluation.evaluator INFO: Inference done 2917/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0006 s/iter. Total: 0.0414 s/iter. ETA=0:01:37 [10/24 19:10:05] d2.evaluation.evaluator INFO: Inference done 3036/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0006 s/iter. Total: 0.0415 s/iter. ETA=0:01:32 [10/24 19:10:10] d2.evaluation.evaluator INFO: Inference done 3159/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0006 s/iter. Total: 0.0415 s/iter. ETA=0:01:27 [10/24 19:10:15] d2.evaluation.evaluator INFO: Inference done 3277/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0006 s/iter. Total: 0.0415 s/iter. ETA=0:01:22 [10/24 19:10:20] d2.evaluation.evaluator INFO: Inference done 3400/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0006 s/iter. Total: 0.0415 s/iter. ETA=0:01:17 [10/24 19:10:25] d2.evaluation.evaluator INFO: Inference done 3521/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0006 s/iter. Total: 0.0415 s/iter. ETA=0:01:12 [10/24 19:10:30] d2.evaluation.evaluator INFO: Inference done 3643/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0006 s/iter. Total: 0.0415 s/iter. ETA=0:01:06 [10/24 19:10:35] d2.evaluation.evaluator INFO: Inference done 3765/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0006 s/iter. Total: 0.0414 s/iter. ETA=0:01:01 [10/24 19:10:40] d2.evaluation.evaluator INFO: Inference done 3886/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0006 s/iter. Total: 0.0414 s/iter. ETA=0:00:56 [10/24 19:10:45] d2.evaluation.evaluator INFO: Inference done 4008/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0006 s/iter. Total: 0.0414 s/iter. ETA=0:00:51 [10/24 19:10:50] d2.evaluation.evaluator INFO: Inference done 4128/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0006 s/iter. Total: 0.0414 s/iter. ETA=0:00:46 [10/24 19:10:55] d2.evaluation.evaluator INFO: Inference done 4250/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0006 s/iter. Total: 0.0414 s/iter. ETA=0:00:41 [10/24 19:11:00] d2.evaluation.evaluator INFO: Inference done 4370/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0006 s/iter. Total: 0.0414 s/iter. ETA=0:00:36 [10/24 19:11:05] d2.evaluation.evaluator INFO: Inference done 4490/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0006 s/iter. Total: 0.0415 s/iter. ETA=0:00:31 [10/24 19:11:10] d2.evaluation.evaluator INFO: Inference done 4613/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0006 s/iter. Total: 0.0414 s/iter. ETA=0:00:26 [10/24 19:11:15] d2.evaluation.evaluator INFO: Inference done 4734/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0006 s/iter. Total: 0.0414 s/iter. ETA=0:00:21 [10/24 19:11:20] d2.evaluation.evaluator INFO: Inference done 4856/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0006 s/iter. Total: 0.0414 s/iter. ETA=0:00:16 [10/24 19:11:25] d2.evaluation.evaluator INFO: Inference done 4982/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0006 s/iter. Total: 0.0414 s/iter. ETA=0:00:11 [10/24 19:11:30] d2.evaluation.evaluator INFO: Inference done 5107/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0006 s/iter. Total: 0.0414 s/iter. ETA=0:00:06 [10/24 19:11:35] d2.evaluation.evaluator INFO: Inference done 5230/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0006 s/iter. Total: 0.0414 s/iter. ETA=0:00:01 [10/24 19:11:36] d2.evaluation.evaluator INFO: Total inference time: 0:03:37.331089 (0.041373 s / iter per device, on 1 devices) [10/24 19:11:36] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:28 (0.039692 s / iter per device, on 1 devices) [10/24 19:11:36] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 19:13:00] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 19:13:00] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 19:13:00] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 19:13:00] d2.evaluation.testing INFO: copypaste: 5.4050,11.6603,4.6881 [10/24 19:13:02] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 19:13:02] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 19:13:02] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 19:13:02] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 19:13:03] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0488 s/iter. ETA=0:04:15 [10/24 19:13:08] d2.evaluation.evaluator INFO: Inference done 111/5258. Dataloading: 0.0010 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:04:17 [10/24 19:13:13] d2.evaluation.evaluator INFO: Inference done 213/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:04:10 [10/24 19:13:18] d2.evaluation.evaluator INFO: Inference done 314/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:04:05 [10/24 19:13:23] d2.evaluation.evaluator INFO: Inference done 416/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:03:59 [10/24 19:13:28] d2.evaluation.evaluator INFO: Inference done 518/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:03:54 [10/24 19:13:33] d2.evaluation.evaluator INFO: Inference done 619/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:49 [10/24 19:13:38] d2.evaluation.evaluator INFO: Inference done 721/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:03:44 [10/24 19:13:43] d2.evaluation.evaluator INFO: Inference done 823/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:03:39 [10/24 19:13:48] d2.evaluation.evaluator INFO: Inference done 926/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:03:33 [10/24 19:13:53] d2.evaluation.evaluator INFO: Inference done 1026/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:03:29 [10/24 19:13:58] d2.evaluation.evaluator INFO: Inference done 1127/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:03:24 [10/24 19:14:03] d2.evaluation.evaluator INFO: Inference done 1228/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:03:19 [10/24 19:14:08] d2.evaluation.evaluator INFO: Inference done 1329/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:03:14 [10/24 19:14:13] d2.evaluation.evaluator INFO: Inference done 1432/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:03:09 [10/24 19:14:18] d2.evaluation.evaluator INFO: Inference done 1533/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:03:04 [10/24 19:14:23] d2.evaluation.evaluator INFO: Inference done 1635/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:02:59 [10/24 19:14:28] d2.evaluation.evaluator INFO: Inference done 1736/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:02:54 [10/24 19:14:33] d2.evaluation.evaluator INFO: Inference done 1837/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:02:49 [10/24 19:14:38] d2.evaluation.evaluator INFO: Inference done 1936/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:02:44 [10/24 19:14:43] d2.evaluation.evaluator INFO: Inference done 2039/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:02:39 [10/24 19:14:48] d2.evaluation.evaluator INFO: Inference done 2140/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:02:34 [10/24 19:14:53] d2.evaluation.evaluator INFO: Inference done 2243/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:02:29 [10/24 19:14:58] d2.evaluation.evaluator INFO: Inference done 2344/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:02:24 [10/24 19:15:03] d2.evaluation.evaluator INFO: Inference done 2448/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:02:19 [10/24 19:15:08] d2.evaluation.evaluator INFO: Inference done 2550/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:02:13 [10/24 19:15:13] d2.evaluation.evaluator INFO: Inference done 2653/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:02:08 [10/24 19:15:19] d2.evaluation.evaluator INFO: Inference done 2754/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:02:03 [10/24 19:15:24] d2.evaluation.evaluator INFO: Inference done 2855/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:58 [10/24 19:15:29] d2.evaluation.evaluator INFO: Inference done 2957/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:53 [10/24 19:15:34] d2.evaluation.evaluator INFO: Inference done 3059/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:48 [10/24 19:15:39] d2.evaluation.evaluator INFO: Inference done 3159/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:43 [10/24 19:15:44] d2.evaluation.evaluator INFO: Inference done 3261/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:38 [10/24 19:15:49] d2.evaluation.evaluator INFO: Inference done 3362/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:33 [10/24 19:15:54] d2.evaluation.evaluator INFO: Inference done 3464/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:28 [10/24 19:15:59] d2.evaluation.evaluator INFO: Inference done 3566/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:23 [10/24 19:16:04] d2.evaluation.evaluator INFO: Inference done 3669/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:01:18 [10/24 19:16:09] d2.evaluation.evaluator INFO: Inference done 3771/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:01:13 [10/24 19:16:14] d2.evaluation.evaluator INFO: Inference done 3873/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:01:08 [10/24 19:16:19] d2.evaluation.evaluator INFO: Inference done 3974/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:01:03 [10/24 19:16:24] d2.evaluation.evaluator INFO: Inference done 4075/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:58 [10/24 19:16:29] d2.evaluation.evaluator INFO: Inference done 4176/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:53 [10/24 19:16:34] d2.evaluation.evaluator INFO: Inference done 4277/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:48 [10/24 19:16:39] d2.evaluation.evaluator INFO: Inference done 4377/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:43 [10/24 19:16:44] d2.evaluation.evaluator INFO: Inference done 4480/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:38 [10/24 19:16:49] d2.evaluation.evaluator INFO: Inference done 4583/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:33 [10/24 19:16:54] d2.evaluation.evaluator INFO: Inference done 4687/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:28 [10/24 19:16:59] d2.evaluation.evaluator INFO: Inference done 4789/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:23 [10/24 19:17:04] d2.evaluation.evaluator INFO: Inference done 4891/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:18 [10/24 19:17:09] d2.evaluation.evaluator INFO: Inference done 4992/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:13 [10/24 19:17:14] d2.evaluation.evaluator INFO: Inference done 5092/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:08 [10/24 19:17:19] d2.evaluation.evaluator INFO: Inference done 5195/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:03 [10/24 19:17:22] d2.evaluation.evaluator INFO: Total inference time: 0:04:19.708710 (0.049440 s / iter per device, on 1 devices) [10/24 19:17:22] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:11 (0.047941 s / iter per device, on 1 devices) [10/24 19:17:22] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 19:18:20] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 19:18:20] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 19:18:20] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 19:18:20] d2.evaluation.testing INFO: copypaste: 5.3366,11.8207,4.5541 [10/24 19:18:20] d2.utils.events INFO: eta: 1 day, 18:48:47 iter: 5199 total_loss: 1.997 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05452 loss_box_reg_sup: 0.4067 loss_rpn_cls_sup: 0.05206 loss_rpn_loc_sup: 0.3499 loss_cls_unsup: 0.3493 loss_box_reg_unsup: 0.2599 loss_rpn_cls_unsup: 0.3003 loss_rpn_loc_unsup: 0.1978 time: 4.6844 data_time: 0.7932 lr: 0.016 max_mem: 18367M [10/24 19:20:22] d2.utils.events INFO: eta: 1 day, 18:45:04 iter: 5219 total_loss: 1.999 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05444 loss_box_reg_sup: 0.3924 loss_rpn_cls_sup: 0.05158 loss_rpn_loc_sup: 0.3362 loss_cls_unsup: 0.3361 loss_box_reg_unsup: 0.2637 loss_rpn_cls_unsup: 0.3113 loss_rpn_loc_unsup: 0.2278 time: 4.6899 data_time: 0.8102 lr: 0.016 max_mem: 18367M [10/24 19:22:26] d2.utils.events INFO: eta: 1 day, 18:40:45 iter: 5239 total_loss: 2.088 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05524 loss_box_reg_sup: 0.4494 loss_rpn_cls_sup: 0.04786 loss_rpn_loc_sup: 0.3571 loss_cls_unsup: 0.3552 loss_box_reg_unsup: 0.2677 loss_rpn_cls_unsup: 0.3264 loss_rpn_loc_unsup: 0.2015 time: 4.6956 data_time: 0.7775 lr: 0.016 max_mem: 18367M [10/24 19:24:29] d2.utils.events INFO: eta: 1 day, 18:38:41 iter: 5259 total_loss: 1.879 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0514 loss_box_reg_sup: 0.4108 loss_rpn_cls_sup: 0.0476 loss_rpn_loc_sup: 0.3098 loss_cls_unsup: 0.3363 loss_box_reg_unsup: 0.2576 loss_rpn_cls_unsup: 0.2961 loss_rpn_loc_unsup: 0.1927 time: 4.7011 data_time: 0.7996 lr: 0.016 max_mem: 18367M [10/24 19:26:31] d2.utils.events INFO: eta: 1 day, 18:35:24 iter: 5279 total_loss: 1.981 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.058 loss_box_reg_sup: 0.4054 loss_rpn_cls_sup: 0.05403 loss_rpn_loc_sup: 0.3411 loss_cls_unsup: 0.3362 loss_box_reg_unsup: 0.2609 loss_rpn_cls_unsup: 0.299 loss_rpn_loc_unsup: 0.2221 time: 4.7064 data_time: 0.8153 lr: 0.016 max_mem: 18367M [10/24 19:28:35] d2.utils.events INFO: eta: 1 day, 18:33:57 iter: 5299 total_loss: 1.913 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04896 loss_box_reg_sup: 0.3628 loss_rpn_cls_sup: 0.05178 loss_rpn_loc_sup: 0.339 loss_cls_unsup: 0.3513 loss_box_reg_unsup: 0.2539 loss_rpn_cls_unsup: 0.3143 loss_rpn_loc_unsup: 0.1835 time: 4.7120 data_time: 0.7991 lr: 0.016 max_mem: 18367M [10/24 19:30:37] d2.utils.events INFO: eta: 1 day, 18:30:56 iter: 5319 total_loss: 2.007 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05189 loss_box_reg_sup: 0.4155 loss_rpn_cls_sup: 0.05295 loss_rpn_loc_sup: 0.3544 loss_cls_unsup: 0.3326 loss_box_reg_unsup: 0.2591 loss_rpn_cls_unsup: 0.3056 loss_rpn_loc_unsup: 0.2192 time: 4.7173 data_time: 0.8056 lr: 0.016 max_mem: 18367M [10/24 19:32:40] d2.utils.events INFO: eta: 1 day, 18:27:27 iter: 5339 total_loss: 1.992 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05379 loss_box_reg_sup: 0.4487 loss_rpn_cls_sup: 0.0497 loss_rpn_loc_sup: 0.3346 loss_cls_unsup: 0.3445 loss_box_reg_unsup: 0.2553 loss_rpn_cls_unsup: 0.3124 loss_rpn_loc_unsup: 0.1908 time: 4.7226 data_time: 0.8039 lr: 0.016 max_mem: 18367M [10/24 19:34:44] d2.utils.events INFO: eta: 1 day, 18:24:28 iter: 5359 total_loss: 1.95 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05088 loss_box_reg_sup: 0.3931 loss_rpn_cls_sup: 0.04836 loss_rpn_loc_sup: 0.3326 loss_cls_unsup: 0.3391 loss_box_reg_unsup: 0.2414 loss_rpn_cls_unsup: 0.3201 loss_rpn_loc_unsup: 0.1907 time: 4.7281 data_time: 0.7940 lr: 0.016 max_mem: 18367M [10/24 19:36:47] d2.utils.events INFO: eta: 1 day, 18:22:13 iter: 5379 total_loss: 1.963 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05515 loss_box_reg_sup: 0.3998 loss_rpn_cls_sup: 0.05176 loss_rpn_loc_sup: 0.3388 loss_cls_unsup: 0.3436 loss_box_reg_unsup: 0.2506 loss_rpn_cls_unsup: 0.3198 loss_rpn_loc_unsup: 0.1985 time: 4.7334 data_time: 0.8098 lr: 0.016 max_mem: 18367M [10/24 19:38:50] d2.utils.events INFO: eta: 1 day, 18:19:05 iter: 5399 total_loss: 2.006 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05147 loss_box_reg_sup: 0.4089 loss_rpn_cls_sup: 0.05126 loss_rpn_loc_sup: 0.3382 loss_cls_unsup: 0.3432 loss_box_reg_unsup: 0.2583 loss_rpn_cls_unsup: 0.3277 loss_rpn_loc_unsup: 0.2249 time: 4.7387 data_time: 0.8166 lr: 0.016 max_mem: 18367M [10/24 19:40:55] d2.utils.events INFO: eta: 1 day, 18:16:09 iter: 5419 total_loss: 2.004 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05147 loss_box_reg_sup: 0.4108 loss_rpn_cls_sup: 0.04886 loss_rpn_loc_sup: 0.3405 loss_cls_unsup: 0.348 loss_box_reg_unsup: 0.2755 loss_rpn_cls_unsup: 0.33 loss_rpn_loc_unsup: 0.2148 time: 4.7442 data_time: 0.8488 lr: 0.016 max_mem: 18367M [10/24 19:43:00] d2.utils.events INFO: eta: 1 day, 18:13:38 iter: 5439 total_loss: 1.975 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05398 loss_box_reg_sup: 0.4167 loss_rpn_cls_sup: 0.05413 loss_rpn_loc_sup: 0.3425 loss_cls_unsup: 0.3482 loss_box_reg_unsup: 0.2636 loss_rpn_cls_unsup: 0.3132 loss_rpn_loc_unsup: 0.1837 time: 4.7497 data_time: 0.8265 lr: 0.016 max_mem: 18367M [10/24 19:45:04] d2.utils.events INFO: eta: 1 day, 18:12:01 iter: 5459 total_loss: 2.037 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05788 loss_box_reg_sup: 0.39 loss_rpn_cls_sup: 0.05209 loss_rpn_loc_sup: 0.3487 loss_cls_unsup: 0.3469 loss_box_reg_unsup: 0.2637 loss_rpn_cls_unsup: 0.3267 loss_rpn_loc_unsup: 0.2128 time: 4.7550 data_time: 0.8030 lr: 0.016 max_mem: 18367M [10/24 19:47:08] d2.utils.events INFO: eta: 1 day, 18:09:36 iter: 5479 total_loss: 2.014 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05691 loss_box_reg_sup: 0.4534 loss_rpn_cls_sup: 0.05409 loss_rpn_loc_sup: 0.3466 loss_cls_unsup: 0.3403 loss_box_reg_unsup: 0.2542 loss_rpn_cls_unsup: 0.3264 loss_rpn_loc_unsup: 0.2122 time: 4.7603 data_time: 0.8426 lr: 0.016 max_mem: 18367M [10/24 19:49:12] d2.utils.events INFO: eta: 1 day, 18:07:32 iter: 5499 total_loss: 2.028 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.057 loss_box_reg_sup: 0.4209 loss_rpn_cls_sup: 0.05128 loss_rpn_loc_sup: 0.3559 loss_cls_unsup: 0.3384 loss_box_reg_unsup: 0.2509 loss_rpn_cls_unsup: 0.3219 loss_rpn_loc_unsup: 0.204 time: 4.7655 data_time: 0.8528 lr: 0.016 max_mem: 18367M [10/24 19:51:25] d2.utils.events INFO: eta: 1 day, 18:06:16 iter: 5519 total_loss: 1.925 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04839 loss_box_reg_sup: 0.39 loss_rpn_cls_sup: 0.04887 loss_rpn_loc_sup: 0.3377 loss_cls_unsup: 0.3384 loss_box_reg_unsup: 0.2515 loss_rpn_cls_unsup: 0.3053 loss_rpn_loc_unsup: 0.1863 time: 4.7723 data_time: 0.8377 lr: 0.016 max_mem: 18367M [10/24 19:53:28] d2.utils.events INFO: eta: 1 day, 18:04:16 iter: 5539 total_loss: 1.991 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05294 loss_box_reg_sup: 0.3897 loss_rpn_cls_sup: 0.04989 loss_rpn_loc_sup: 0.3426 loss_cls_unsup: 0.3446 loss_box_reg_unsup: 0.2518 loss_rpn_cls_unsup: 0.3266 loss_rpn_loc_unsup: 0.2053 time: 4.7774 data_time: 0.8534 lr: 0.016 max_mem: 18367M [10/24 19:55:32] d2.utils.events INFO: eta: 1 day, 18:02:19 iter: 5559 total_loss: 1.997 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05494 loss_box_reg_sup: 0.4085 loss_rpn_cls_sup: 0.05412 loss_rpn_loc_sup: 0.3497 loss_cls_unsup: 0.3434 loss_box_reg_unsup: 0.2423 loss_rpn_cls_unsup: 0.3239 loss_rpn_loc_unsup: 0.2087 time: 4.7825 data_time: 0.8671 lr: 0.016 max_mem: 18367M [10/24 19:57:36] d2.utils.events INFO: eta: 1 day, 18:00:04 iter: 5579 total_loss: 1.916 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05252 loss_box_reg_sup: 0.3809 loss_rpn_cls_sup: 0.05129 loss_rpn_loc_sup: 0.3344 loss_cls_unsup: 0.3338 loss_box_reg_unsup: 0.2503 loss_rpn_cls_unsup: 0.3189 loss_rpn_loc_unsup: 0.2016 time: 4.7875 data_time: 0.8307 lr: 0.016 max_mem: 18367M [10/24 19:59:48] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 19:59:48] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 19:59:48] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 19:59:48] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 19:59:50] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0011 s/iter. Inference: 0.0550 s/iter. Eval: 0.0005 s/iter. Total: 0.0566 s/iter. ETA=0:04:57 [10/24 19:59:55] d2.evaluation.evaluator INFO: Inference done 118/5258. Dataloading: 0.0010 s/iter. Inference: 0.0457 s/iter. Eval: 0.0005 s/iter. Total: 0.0473 s/iter. ETA=0:04:03 [10/24 20:00:00] d2.evaluation.evaluator INFO: Inference done 234/5258. Dataloading: 0.0011 s/iter. Inference: 0.0436 s/iter. Eval: 0.0005 s/iter. Total: 0.0452 s/iter. ETA=0:03:47 [10/24 20:00:05] d2.evaluation.evaluator INFO: Inference done 354/5258. Dataloading: 0.0011 s/iter. Inference: 0.0424 s/iter. Eval: 0.0006 s/iter. Total: 0.0441 s/iter. ETA=0:03:36 [10/24 20:00:10] d2.evaluation.evaluator INFO: Inference done 477/5258. Dataloading: 0.0011 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0432 s/iter. ETA=0:03:26 [10/24 20:00:15] d2.evaluation.evaluator INFO: Inference done 600/5258. Dataloading: 0.0011 s/iter. Inference: 0.0410 s/iter. Eval: 0.0005 s/iter. Total: 0.0427 s/iter. ETA=0:03:18 [10/24 20:00:20] d2.evaluation.evaluator INFO: Inference done 727/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:03:10 [10/24 20:00:25] d2.evaluation.evaluator INFO: Inference done 849/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:03:05 [10/24 20:00:30] d2.evaluation.evaluator INFO: Inference done 973/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:02:59 [10/24 20:00:35] d2.evaluation.evaluator INFO: Inference done 1102/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:02:52 [10/24 20:00:40] d2.evaluation.evaluator INFO: Inference done 1228/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0413 s/iter. ETA=0:02:46 [10/24 20:00:45] d2.evaluation.evaluator INFO: Inference done 1354/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:02:40 [10/24 20:00:50] d2.evaluation.evaluator INFO: Inference done 1477/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:02:35 [10/24 20:00:55] d2.evaluation.evaluator INFO: Inference done 1599/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:02:30 [10/24 20:01:00] d2.evaluation.evaluator INFO: Inference done 1715/5258. 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Total: 0.0414 s/iter. ETA=0:02:02 [10/24 20:01:30] d2.evaluation.evaluator INFO: Inference done 2437/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:01:56 [10/24 20:01:35] d2.evaluation.evaluator INFO: Inference done 2553/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:01:52 [10/24 20:01:40] d2.evaluation.evaluator INFO: Inference done 2676/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:01:47 [10/24 20:01:45] d2.evaluation.evaluator INFO: Inference done 2800/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:01:41 [10/24 20:01:50] d2.evaluation.evaluator INFO: Inference done 2907/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:01:37 [10/24 20:01:55] d2.evaluation.evaluator INFO: Inference done 3030/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:01:32 [10/24 20:02:00] d2.evaluation.evaluator INFO: Inference done 3149/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:01:27 [10/24 20:02:05] d2.evaluation.evaluator INFO: Inference done 3269/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:01:22 [10/24 20:02:10] d2.evaluation.evaluator INFO: Inference done 3393/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:01:17 [10/24 20:02:15] d2.evaluation.evaluator INFO: Inference done 3512/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:01:12 [10/24 20:02:20] d2.evaluation.evaluator INFO: Inference done 3636/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:01:07 [10/24 20:02:25] d2.evaluation.evaluator INFO: Inference done 3763/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:01:02 [10/24 20:02:30] d2.evaluation.evaluator INFO: Inference done 3891/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:00:56 [10/24 20:02:35] d2.evaluation.evaluator INFO: Inference done 4015/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:00:51 [10/24 20:02:41] d2.evaluation.evaluator INFO: Inference done 4139/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:00:46 [10/24 20:02:46] d2.evaluation.evaluator INFO: Inference done 4262/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0005 s/iter. 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ETA=0:00:16 [10/24 20:03:16] d2.evaluation.evaluator INFO: Inference done 4966/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:00:12 [10/24 20:03:21] d2.evaluation.evaluator INFO: Inference done 5083/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:00:07 [10/24 20:03:26] d2.evaluation.evaluator INFO: Inference done 5191/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:00:02 [10/24 20:03:29] d2.evaluation.evaluator INFO: Total inference time: 0:03:39.281834 (0.041744 s / iter per device, on 1 devices) [10/24 20:03:29] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:30 (0.040160 s / iter per device, on 1 devices) [10/24 20:03:29] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 20:04:40] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 20:04:40] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 20:04:40] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 20:04:40] d2.evaluation.testing INFO: copypaste: 5.5867,12.4315,4.8117 [10/24 20:04:42] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 20:04:42] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 20:04:42] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 20:04:42] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 20:04:43] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0464 s/iter. Eval: 0.0005 s/iter. Total: 0.0477 s/iter. ETA=0:04:10 [10/24 20:04:48] d2.evaluation.evaluator INFO: Inference done 114/5258. Dataloading: 0.0010 s/iter. Inference: 0.0472 s/iter. Eval: 0.0005 s/iter. Total: 0.0488 s/iter. ETA=0:04:10 [10/24 20:04:53] d2.evaluation.evaluator INFO: Inference done 216/5258. Dataloading: 0.0010 s/iter. Inference: 0.0474 s/iter. Eval: 0.0005 s/iter. Total: 0.0489 s/iter. ETA=0:04:06 [10/24 20:04:58] d2.evaluation.evaluator INFO: Inference done 318/5258. Dataloading: 0.0010 s/iter. Inference: 0.0474 s/iter. Eval: 0.0005 s/iter. Total: 0.0489 s/iter. ETA=0:04:01 [10/24 20:05:03] d2.evaluation.evaluator INFO: Inference done 419/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:03:57 [10/24 20:05:08] d2.evaluation.evaluator INFO: Inference done 520/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:03:53 [10/24 20:05:13] d2.evaluation.evaluator INFO: Inference done 622/5258. 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ETA=0:03:00 [10/24 20:06:09] d2.evaluation.evaluator INFO: Inference done 1731/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:02:54 [10/24 20:06:14] d2.evaluation.evaluator INFO: Inference done 1828/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:02:50 [10/24 20:06:19] d2.evaluation.evaluator INFO: Inference done 1927/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:45 [10/24 20:06:24] d2.evaluation.evaluator INFO: Inference done 2028/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:40 [10/24 20:06:29] d2.evaluation.evaluator INFO: Inference done 2128/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:35 [10/24 20:06:34] d2.evaluation.evaluator INFO: Inference done 2227/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:31 [10/24 20:06:39] d2.evaluation.evaluator INFO: Inference done 2328/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:26 [10/24 20:06:44] d2.evaluation.evaluator INFO: Inference done 2429/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:21 [10/24 20:06:49] d2.evaluation.evaluator INFO: Inference done 2531/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:15 [10/24 20:06:54] d2.evaluation.evaluator INFO: Inference done 2630/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:02:11 [10/24 20:06:59] d2.evaluation.evaluator INFO: Inference done 2732/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. 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ETA=0:01:40 [10/24 20:07:29] d2.evaluation.evaluator INFO: Inference done 3340/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:35 [10/24 20:07:34] d2.evaluation.evaluator INFO: Inference done 3442/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:30 [10/24 20:07:39] d2.evaluation.evaluator INFO: Inference done 3545/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:01:25 [10/24 20:07:44] d2.evaluation.evaluator INFO: Inference done 3644/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:20 [10/24 20:07:49] d2.evaluation.evaluator INFO: Inference done 3746/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:15 [10/24 20:07:54] d2.evaluation.evaluator INFO: Inference done 3850/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:01:10 [10/24 20:07:59] d2.evaluation.evaluator INFO: Inference done 3951/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:01:04 [10/24 20:08:04] d2.evaluation.evaluator INFO: Inference done 4051/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:01:00 [10/24 20:08:09] d2.evaluation.evaluator INFO: Inference done 4153/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:54 [10/24 20:08:14] d2.evaluation.evaluator INFO: Inference done 4255/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:49 [10/24 20:08:19] d2.evaluation.evaluator INFO: Inference done 4356/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:44 [10/24 20:08:24] d2.evaluation.evaluator INFO: Inference done 4456/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:39 [10/24 20:08:29] d2.evaluation.evaluator INFO: Inference done 4558/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:34 [10/24 20:08:34] d2.evaluation.evaluator INFO: Inference done 4658/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:29 [10/24 20:08:39] d2.evaluation.evaluator INFO: Inference done 4760/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:24 [10/24 20:08:44] d2.evaluation.evaluator INFO: Inference done 4860/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:19 [10/24 20:08:49] d2.evaluation.evaluator INFO: Inference done 4961/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:14 [10/24 20:08:54] d2.evaluation.evaluator INFO: Inference done 5061/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:09 [10/24 20:08:59] d2.evaluation.evaluator INFO: Inference done 5160/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:00:04 [10/24 20:09:04] d2.evaluation.evaluator INFO: Total inference time: 0:04:21.478534 (0.049777 s / iter per device, on 1 devices) [10/24 20:09:04] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:13 (0.048238 s / iter per device, on 1 devices) [10/24 20:09:04] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 20:10:05] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 20:10:05] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 20:10:05] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 20:10:05] d2.evaluation.testing INFO: copypaste: 5.5266,12.0422,4.7663 [10/24 20:10:05] d2.utils.events INFO: eta: 1 day, 17:58:20 iter: 5599 total_loss: 2.069 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05902 loss_box_reg_sup: 0.4236 loss_rpn_cls_sup: 0.05221 loss_rpn_loc_sup: 0.3494 loss_cls_unsup: 0.3394 loss_box_reg_unsup: 0.2458 loss_rpn_cls_unsup: 0.3262 loss_rpn_loc_unsup: 0.2409 time: 4.7930 data_time: 0.8247 lr: 0.016 max_mem: 18367M [10/24 20:12:08] d2.utils.events INFO: eta: 1 day, 17:56:07 iter: 5619 total_loss: 1.962 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05338 loss_box_reg_sup: 0.3872 loss_rpn_cls_sup: 0.04911 loss_rpn_loc_sup: 0.3378 loss_cls_unsup: 0.3372 loss_box_reg_unsup: 0.2567 loss_rpn_cls_unsup: 0.3156 loss_rpn_loc_unsup: 0.2124 time: 4.7978 data_time: 0.8006 lr: 0.016 max_mem: 18367M [10/24 20:14:21] d2.utils.events INFO: eta: 1 day, 17:53:29 iter: 5639 total_loss: 2.017 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05581 loss_box_reg_sup: 0.4036 loss_rpn_cls_sup: 0.04711 loss_rpn_loc_sup: 0.3254 loss_cls_unsup: 0.3422 loss_box_reg_unsup: 0.254 loss_rpn_cls_unsup: 0.3357 loss_rpn_loc_unsup: 0.2092 time: 4.8043 data_time: 0.8793 lr: 0.016 max_mem: 18367M [10/24 20:16:25] d2.utils.events INFO: eta: 1 day, 17:50:15 iter: 5659 total_loss: 2 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05192 loss_box_reg_sup: 0.4112 loss_rpn_cls_sup: 0.05236 loss_rpn_loc_sup: 0.348 loss_cls_unsup: 0.3499 loss_box_reg_unsup: 0.2689 loss_rpn_cls_unsup: 0.3252 loss_rpn_loc_unsup: 0.205 time: 4.8092 data_time: 0.7968 lr: 0.016 max_mem: 18367M [10/24 20:18:32] d2.utils.events INFO: eta: 1 day, 17:49:45 iter: 5679 total_loss: 1.997 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05454 loss_box_reg_sup: 0.4131 loss_rpn_cls_sup: 0.04563 loss_rpn_loc_sup: 0.3538 loss_cls_unsup: 0.3321 loss_box_reg_unsup: 0.2583 loss_rpn_cls_unsup: 0.3092 loss_rpn_loc_unsup: 0.1843 time: 4.8147 data_time: 0.8606 lr: 0.016 max_mem: 18367M [10/24 20:20:39] d2.utils.events INFO: eta: 1 day, 17:47:06 iter: 5699 total_loss: 2.014 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04946 loss_box_reg_sup: 0.3963 loss_rpn_cls_sup: 0.04596 loss_rpn_loc_sup: 0.3339 loss_cls_unsup: 0.3362 loss_box_reg_unsup: 0.2406 loss_rpn_cls_unsup: 0.3343 loss_rpn_loc_unsup: 0.2226 time: 4.8201 data_time: 0.8393 lr: 0.016 max_mem: 18367M [10/24 20:22:46] d2.utils.events INFO: eta: 1 day, 17:43:42 iter: 5719 total_loss: 2.04 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05337 loss_box_reg_sup: 0.4275 loss_rpn_cls_sup: 0.05104 loss_rpn_loc_sup: 0.3414 loss_cls_unsup: 0.3326 loss_box_reg_unsup: 0.2512 loss_rpn_cls_unsup: 0.3301 loss_rpn_loc_unsup: 0.2313 time: 4.8253 data_time: 0.8467 lr: 0.016 max_mem: 18367M [10/24 20:24:50] d2.utils.events INFO: eta: 1 day, 17:40:35 iter: 5739 total_loss: 1.983 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05394 loss_box_reg_sup: 0.3941 loss_rpn_cls_sup: 0.04783 loss_rpn_loc_sup: 0.3463 loss_cls_unsup: 0.3378 loss_box_reg_unsup: 0.2473 loss_rpn_cls_unsup: 0.3329 loss_rpn_loc_unsup: 0.2339 time: 4.8301 data_time: 0.8444 lr: 0.016 max_mem: 18367M [10/24 20:26:55] d2.utils.events INFO: eta: 1 day, 17:38:07 iter: 5759 total_loss: 1.93 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05064 loss_box_reg_sup: 0.3871 loss_rpn_cls_sup: 0.04562 loss_rpn_loc_sup: 0.3224 loss_cls_unsup: 0.3391 loss_box_reg_unsup: 0.2428 loss_rpn_cls_unsup: 0.3101 loss_rpn_loc_unsup: 0.1813 time: 4.8352 data_time: 0.8281 lr: 0.016 max_mem: 18367M [10/24 20:28:59] d2.utils.events INFO: eta: 1 day, 17:36:03 iter: 5779 total_loss: 1.935 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05238 loss_box_reg_sup: 0.3645 loss_rpn_cls_sup: 0.04869 loss_rpn_loc_sup: 0.3397 loss_cls_unsup: 0.3438 loss_box_reg_unsup: 0.2471 loss_rpn_cls_unsup: 0.3223 loss_rpn_loc_unsup: 0.1817 time: 4.8398 data_time: 0.8444 lr: 0.016 max_mem: 18367M [10/24 20:31:03] d2.utils.events INFO: eta: 1 day, 17:33:59 iter: 5799 total_loss: 1.97 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05595 loss_box_reg_sup: 0.4137 loss_rpn_cls_sup: 0.05124 loss_rpn_loc_sup: 0.3248 loss_cls_unsup: 0.3454 loss_box_reg_unsup: 0.2503 loss_rpn_cls_unsup: 0.3326 loss_rpn_loc_unsup: 0.2248 time: 4.8445 data_time: 0.8309 lr: 0.016 max_mem: 18367M [10/24 20:33:07] d2.utils.events INFO: eta: 1 day, 17:31:24 iter: 5819 total_loss: 2.001 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04713 loss_box_reg_sup: 0.4154 loss_rpn_cls_sup: 0.04928 loss_rpn_loc_sup: 0.3383 loss_cls_unsup: 0.3384 loss_box_reg_unsup: 0.2486 loss_rpn_cls_unsup: 0.3252 loss_rpn_loc_unsup: 0.2014 time: 4.8491 data_time: 0.8514 lr: 0.016 max_mem: 18367M [10/24 20:35:14] d2.utils.events INFO: eta: 1 day, 17:29:38 iter: 5839 total_loss: 1.89 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05146 loss_box_reg_sup: 0.3977 loss_rpn_cls_sup: 0.04582 loss_rpn_loc_sup: 0.3329 loss_cls_unsup: 0.3223 loss_box_reg_unsup: 0.2448 loss_rpn_cls_unsup: 0.3243 loss_rpn_loc_unsup: 0.1863 time: 4.8543 data_time: 0.8494 lr: 0.016 max_mem: 18367M [10/24 20:37:33] d2.utils.events INFO: eta: 1 day, 17:28:00 iter: 5859 total_loss: 2.041 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05946 loss_box_reg_sup: 0.4206 loss_rpn_cls_sup: 0.05034 loss_rpn_loc_sup: 0.3377 loss_cls_unsup: 0.339 loss_box_reg_unsup: 0.2582 loss_rpn_cls_unsup: 0.3281 loss_rpn_loc_unsup: 0.2155 time: 4.8614 data_time: 0.8660 lr: 0.016 max_mem: 18367M [10/24 20:39:42] d2.utils.events INFO: eta: 1 day, 17:25:48 iter: 5879 total_loss: 1.974 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04993 loss_box_reg_sup: 0.406 loss_rpn_cls_sup: 0.0452 loss_rpn_loc_sup: 0.3415 loss_cls_unsup: 0.3328 loss_box_reg_unsup: 0.2507 loss_rpn_cls_unsup: 0.3275 loss_rpn_loc_unsup: 0.2131 time: 4.8669 data_time: 0.8437 lr: 0.016 max_mem: 18367M [10/24 20:41:47] d2.utils.events INFO: eta: 1 day, 17:23:45 iter: 5899 total_loss: 1.87 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05129 loss_box_reg_sup: 0.3832 loss_rpn_cls_sup: 0.04349 loss_rpn_loc_sup: 0.331 loss_cls_unsup: 0.3282 loss_box_reg_unsup: 0.2447 loss_rpn_cls_unsup: 0.3063 loss_rpn_loc_unsup: 0.1747 time: 4.8715 data_time: 0.8711 lr: 0.016 max_mem: 18367M [10/24 20:44:14] d2.utils.events INFO: eta: 1 day, 17:22:09 iter: 5919 total_loss: 2.01 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05242 loss_box_reg_sup: 0.4189 loss_rpn_cls_sup: 0.0444 loss_rpn_loc_sup: 0.3265 loss_cls_unsup: 0.3356 loss_box_reg_unsup: 0.2496 loss_rpn_cls_unsup: 0.3468 loss_rpn_loc_unsup: 0.2135 time: 4.8800 data_time: 0.8690 lr: 0.016 max_mem: 18367M [10/24 20:46:20] d2.utils.events INFO: eta: 1 day, 17:19:38 iter: 5939 total_loss: 1.949 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05116 loss_box_reg_sup: 0.4024 loss_rpn_cls_sup: 0.04918 loss_rpn_loc_sup: 0.3222 loss_cls_unsup: 0.3309 loss_box_reg_unsup: 0.254 loss_rpn_cls_unsup: 0.3358 loss_rpn_loc_unsup: 0.2099 time: 4.8848 data_time: 0.8609 lr: 0.016 max_mem: 18367M [10/24 20:48:24] d2.utils.events INFO: eta: 1 day, 17:17:21 iter: 5959 total_loss: 1.944 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05486 loss_box_reg_sup: 0.4149 loss_rpn_cls_sup: 0.04802 loss_rpn_loc_sup: 0.3256 loss_cls_unsup: 0.3216 loss_box_reg_unsup: 0.2514 loss_rpn_cls_unsup: 0.3117 loss_rpn_loc_unsup: 0.2083 time: 4.8890 data_time: 0.8035 lr: 0.016 max_mem: 18367M [10/24 20:50:32] d2.utils.events INFO: eta: 1 day, 17:15:58 iter: 5979 total_loss: 1.878 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05423 loss_box_reg_sup: 0.4063 loss_rpn_cls_sup: 0.04886 loss_rpn_loc_sup: 0.3134 loss_cls_unsup: 0.327 loss_box_reg_unsup: 0.2452 loss_rpn_cls_unsup: 0.3283 loss_rpn_loc_unsup: 0.1854 time: 4.8942 data_time: 0.8831 lr: 0.016 max_mem: 18367M [10/24 20:52:46] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 20:52:46] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 20:52:46] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 20:52:46] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 20:52:47] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0396 s/iter. Eval: 0.0007 s/iter. Total: 0.0411 s/iter. ETA=0:03:35 [10/24 20:52:52] d2.evaluation.evaluator INFO: Inference done 139/5258. Dataloading: 0.0009 s/iter. Inference: 0.0378 s/iter. Eval: 0.0006 s/iter. Total: 0.0393 s/iter. ETA=0:03:21 [10/24 20:52:57] d2.evaluation.evaluator INFO: Inference done 262/5258. Dataloading: 0.0010 s/iter. Inference: 0.0384 s/iter. Eval: 0.0006 s/iter. Total: 0.0400 s/iter. ETA=0:03:19 [10/24 20:53:02] d2.evaluation.evaluator INFO: Inference done 387/5258. Dataloading: 0.0010 s/iter. 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ETA=0:00:19 [10/24 20:56:13] d2.evaluation.evaluator INFO: Inference done 4894/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0006 s/iter. Total: 0.0421 s/iter. ETA=0:00:15 [10/24 20:56:18] d2.evaluation.evaluator INFO: Inference done 5019/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0006 s/iter. Total: 0.0421 s/iter. ETA=0:00:10 [10/24 20:56:23] d2.evaluation.evaluator INFO: Inference done 5139/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0006 s/iter. Total: 0.0421 s/iter. ETA=0:00:05 [10/24 20:56:28] d2.evaluation.evaluator INFO: Total inference time: 0:03:40.936122 (0.042059 s / iter per device, on 1 devices) [10/24 20:56:28] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:32 (0.040434 s / iter per device, on 1 devices) [10/24 20:56:28] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 20:57:49] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 20:57:49] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 20:57:49] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 20:57:49] d2.evaluation.testing INFO: copypaste: 5.8742,12.7395,5.0292 [10/24 20:57:51] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 20:57:51] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 20:57:51] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 20:57:51] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 20:57:52] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0497 s/iter. Eval: 0.0006 s/iter. Total: 0.0511 s/iter. ETA=0:04:28 [10/24 20:57:57] d2.evaluation.evaluator INFO: Inference done 111/5258. Dataloading: 0.0010 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0504 s/iter. ETA=0:04:19 [10/24 20:58:02] d2.evaluation.evaluator INFO: Inference done 210/5258. Dataloading: 0.0010 s/iter. Inference: 0.0491 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:04:15 [10/24 20:58:07] d2.evaluation.evaluator INFO: Inference done 314/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:04:06 [10/24 20:58:12] d2.evaluation.evaluator INFO: Inference done 411/5258. Dataloading: 0.0010 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:04:03 [10/24 20:58:17] d2.evaluation.evaluator INFO: Inference done 511/5258. Dataloading: 0.0010 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:03:58 [10/24 20:58:22] d2.evaluation.evaluator INFO: Inference done 611/5258. 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ETA=0:00:21 [10/24 21:01:58] d2.evaluation.evaluator INFO: Inference done 4930/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:00:16 [10/24 21:02:03] d2.evaluation.evaluator INFO: Inference done 5030/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:00:11 [10/24 21:02:08] d2.evaluation.evaluator INFO: Inference done 5132/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:06 [10/24 21:02:13] d2.evaluation.evaluator INFO: Inference done 5232/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:01 [10/24 21:02:15] d2.evaluation.evaluator INFO: Total inference time: 0:04:22.912538 (0.050050 s / iter per device, on 1 devices) [10/24 21:02:15] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:14 (0.048513 s / iter per device, on 1 devices) [10/24 21:02:15] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 21:03:18] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 21:03:18] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 21:03:18] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 21:03:18] d2.evaluation.testing INFO: copypaste: 5.6460,12.1519,4.9361 [10/24 21:03:18] d2.utils.events INFO: eta: 1 day, 17:13:21 iter: 5999 total_loss: 1.98 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0562 loss_box_reg_sup: 0.4035 loss_rpn_cls_sup: 0.04609 loss_rpn_loc_sup: 0.3323 loss_cls_unsup: 0.3338 loss_box_reg_unsup: 0.2517 loss_rpn_cls_unsup: 0.3298 loss_rpn_loc_unsup: 0.2117 time: 4.8991 data_time: 0.8172 lr: 0.016 max_mem: 18367M [10/24 21:05:24] d2.utils.events INFO: eta: 1 day, 17:11:05 iter: 6019 total_loss: 1.942 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05054 loss_box_reg_sup: 0.4047 loss_rpn_cls_sup: 0.04493 loss_rpn_loc_sup: 0.3318 loss_cls_unsup: 0.3241 loss_box_reg_unsup: 0.2441 loss_rpn_cls_unsup: 0.3328 loss_rpn_loc_unsup: 0.2019 time: 4.9037 data_time: 0.8224 lr: 0.016 max_mem: 18367M [10/24 21:07:30] d2.utils.events INFO: eta: 1 day, 17:09:07 iter: 6039 total_loss: 1.929 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05242 loss_box_reg_sup: 0.3759 loss_rpn_cls_sup: 0.04932 loss_rpn_loc_sup: 0.3496 loss_cls_unsup: 0.326 loss_box_reg_unsup: 0.2502 loss_rpn_cls_unsup: 0.336 loss_rpn_loc_unsup: 0.1934 time: 4.9084 data_time: 0.8615 lr: 0.016 max_mem: 18367M [10/24 21:09:35] d2.utils.events INFO: eta: 1 day, 17:06:40 iter: 6059 total_loss: 1.877 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0453 loss_box_reg_sup: 0.3681 loss_rpn_cls_sup: 0.04557 loss_rpn_loc_sup: 0.3279 loss_cls_unsup: 0.3205 loss_box_reg_unsup: 0.2566 loss_rpn_cls_unsup: 0.3177 loss_rpn_loc_unsup: 0.2273 time: 4.9128 data_time: 0.8470 lr: 0.016 max_mem: 18367M [10/24 21:11:40] d2.utils.events INFO: eta: 1 day, 17:04:48 iter: 6079 total_loss: 1.965 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04941 loss_box_reg_sup: 0.396 loss_rpn_cls_sup: 0.04584 loss_rpn_loc_sup: 0.3271 loss_cls_unsup: 0.3226 loss_box_reg_unsup: 0.2361 loss_rpn_cls_unsup: 0.3216 loss_rpn_loc_unsup: 0.2271 time: 4.9172 data_time: 0.8355 lr: 0.016 max_mem: 18367M [10/24 21:13:54] d2.utils.events INFO: eta: 1 day, 17:02:47 iter: 6099 total_loss: 1.932 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05225 loss_box_reg_sup: 0.394 loss_rpn_cls_sup: 0.04497 loss_rpn_loc_sup: 0.3251 loss_cls_unsup: 0.3316 loss_box_reg_unsup: 0.2446 loss_rpn_cls_unsup: 0.3166 loss_rpn_loc_unsup: 0.193 time: 4.9229 data_time: 0.8188 lr: 0.016 max_mem: 18367M [10/24 21:15:58] d2.utils.events INFO: eta: 1 day, 17:00:47 iter: 6119 total_loss: 1.958 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05054 loss_box_reg_sup: 0.3902 loss_rpn_cls_sup: 0.04692 loss_rpn_loc_sup: 0.3218 loss_cls_unsup: 0.3234 loss_box_reg_unsup: 0.236 loss_rpn_cls_unsup: 0.3259 loss_rpn_loc_unsup: 0.2198 time: 4.9272 data_time: 0.8592 lr: 0.016 max_mem: 18367M [10/24 21:18:09] d2.utils.events INFO: eta: 1 day, 16:58:43 iter: 6139 total_loss: 1.969 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05047 loss_box_reg_sup: 0.3886 loss_rpn_cls_sup: 0.05034 loss_rpn_loc_sup: 0.3471 loss_cls_unsup: 0.3137 loss_box_reg_unsup: 0.251 loss_rpn_cls_unsup: 0.3329 loss_rpn_loc_unsup: 0.2052 time: 4.9325 data_time: 0.8331 lr: 0.016 max_mem: 18367M [10/24 21:20:14] d2.utils.events INFO: eta: 1 day, 16:56:57 iter: 6159 total_loss: 1.95 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05098 loss_box_reg_sup: 0.402 loss_rpn_cls_sup: 0.04317 loss_rpn_loc_sup: 0.3396 loss_cls_unsup: 0.3267 loss_box_reg_unsup: 0.2477 loss_rpn_cls_unsup: 0.3172 loss_rpn_loc_unsup: 0.1914 time: 4.9367 data_time: 0.9027 lr: 0.016 max_mem: 18367M [10/24 21:22:20] d2.utils.events INFO: eta: 1 day, 16:54:32 iter: 6179 total_loss: 1.913 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04969 loss_box_reg_sup: 0.3801 loss_rpn_cls_sup: 0.04731 loss_rpn_loc_sup: 0.3439 loss_cls_unsup: 0.333 loss_box_reg_unsup: 0.237 loss_rpn_cls_unsup: 0.3252 loss_rpn_loc_unsup: 0.2066 time: 4.9412 data_time: 0.8225 lr: 0.016 max_mem: 18367M [10/24 21:24:25] d2.utils.events INFO: eta: 1 day, 16:53:32 iter: 6199 total_loss: 1.876 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04818 loss_box_reg_sup: 0.3823 loss_rpn_cls_sup: 0.05048 loss_rpn_loc_sup: 0.3402 loss_cls_unsup: 0.3201 loss_box_reg_unsup: 0.2399 loss_rpn_cls_unsup: 0.3366 loss_rpn_loc_unsup: 0.1905 time: 4.9454 data_time: 0.8513 lr: 0.016 max_mem: 18367M [10/24 21:26:29] d2.utils.events INFO: eta: 1 day, 16:52:00 iter: 6219 total_loss: 2.028 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05722 loss_box_reg_sup: 0.4669 loss_rpn_cls_sup: 0.04975 loss_rpn_loc_sup: 0.3586 loss_cls_unsup: 0.3271 loss_box_reg_unsup: 0.2456 loss_rpn_cls_unsup: 0.3446 loss_rpn_loc_unsup: 0.2182 time: 4.9494 data_time: 0.7920 lr: 0.016 max_mem: 18367M [10/24 21:28:32] d2.utils.events INFO: eta: 1 day, 16:49:44 iter: 6239 total_loss: 1.89 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05423 loss_box_reg_sup: 0.3955 loss_rpn_cls_sup: 0.04713 loss_rpn_loc_sup: 0.3422 loss_cls_unsup: 0.3205 loss_box_reg_unsup: 0.2501 loss_rpn_cls_unsup: 0.3218 loss_rpn_loc_unsup: 0.1951 time: 4.9533 data_time: 0.8170 lr: 0.016 max_mem: 18367M [10/24 21:30:37] d2.utils.events INFO: eta: 1 day, 16:47:52 iter: 6259 total_loss: 1.906 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04656 loss_box_reg_sup: 0.3918 loss_rpn_cls_sup: 0.04079 loss_rpn_loc_sup: 0.325 loss_cls_unsup: 0.316 loss_box_reg_unsup: 0.238 loss_rpn_cls_unsup: 0.3329 loss_rpn_loc_unsup: 0.1766 time: 4.9573 data_time: 0.8061 lr: 0.016 max_mem: 18367M [10/24 21:32:40] d2.utils.events INFO: eta: 1 day, 16:46:58 iter: 6279 total_loss: 1.96 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04973 loss_box_reg_sup: 0.3922 loss_rpn_cls_sup: 0.04633 loss_rpn_loc_sup: 0.3494 loss_cls_unsup: 0.3235 loss_box_reg_unsup: 0.239 loss_rpn_cls_unsup: 0.3487 loss_rpn_loc_unsup: 0.1862 time: 4.9612 data_time: 0.7944 lr: 0.016 max_mem: 18367M [10/24 21:34:45] d2.utils.events INFO: eta: 1 day, 16:44:54 iter: 6299 total_loss: 1.995 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05499 loss_box_reg_sup: 0.4226 loss_rpn_cls_sup: 0.05469 loss_rpn_loc_sup: 0.3408 loss_cls_unsup: 0.3179 loss_box_reg_unsup: 0.2404 loss_rpn_cls_unsup: 0.3341 loss_rpn_loc_unsup: 0.2015 time: 4.9652 data_time: 0.8039 lr: 0.016 max_mem: 18367M [10/24 21:36:48] d2.utils.events INFO: eta: 1 day, 16:42:52 iter: 6319 total_loss: 1.983 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04595 loss_box_reg_sup: 0.39 loss_rpn_cls_sup: 0.04709 loss_rpn_loc_sup: 0.3453 loss_cls_unsup: 0.3259 loss_box_reg_unsup: 0.2468 loss_rpn_cls_unsup: 0.335 loss_rpn_loc_unsup: 0.1998 time: 4.9690 data_time: 0.7800 lr: 0.016 max_mem: 18367M [10/24 21:38:51] d2.utils.events INFO: eta: 1 day, 16:40:58 iter: 6339 total_loss: 1.961 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0509 loss_box_reg_sup: 0.4071 loss_rpn_cls_sup: 0.04414 loss_rpn_loc_sup: 0.3356 loss_cls_unsup: 0.3284 loss_box_reg_unsup: 0.2552 loss_rpn_cls_unsup: 0.3262 loss_rpn_loc_unsup: 0.1913 time: 4.9728 data_time: 0.8077 lr: 0.016 max_mem: 18367M [10/24 21:40:59] d2.utils.events INFO: eta: 1 day, 16:39:12 iter: 6359 total_loss: 1.963 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05191 loss_box_reg_sup: 0.3922 loss_rpn_cls_sup: 0.04774 loss_rpn_loc_sup: 0.3333 loss_cls_unsup: 0.3187 loss_box_reg_unsup: 0.2563 loss_rpn_cls_unsup: 0.3347 loss_rpn_loc_unsup: 0.2008 time: 4.9773 data_time: 0.8664 lr: 0.016 max_mem: 18367M [10/24 21:43:04] d2.utils.events INFO: eta: 1 day, 16:37:25 iter: 6379 total_loss: 1.964 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04607 loss_box_reg_sup: 0.355 loss_rpn_cls_sup: 0.0438 loss_rpn_loc_sup: 0.3048 loss_cls_unsup: 0.3253 loss_box_reg_unsup: 0.2691 loss_rpn_cls_unsup: 0.3489 loss_rpn_loc_unsup: 0.2373 time: 4.9812 data_time: 0.8425 lr: 0.016 max_mem: 18367M [10/24 21:45:14] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 21:45:14] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 21:45:14] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 21:45:14] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 21:45:15] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0362 s/iter. Eval: 0.0007 s/iter. Total: 0.0379 s/iter. ETA=0:03:18 [10/24 21:45:20] d2.evaluation.evaluator INFO: Inference done 126/5258. Dataloading: 0.0011 s/iter. Inference: 0.0415 s/iter. Eval: 0.0007 s/iter. Total: 0.0433 s/iter. ETA=0:03:42 [10/24 21:45:25] d2.evaluation.evaluator INFO: Inference done 246/5258. Dataloading: 0.0010 s/iter. Inference: 0.0409 s/iter. Eval: 0.0007 s/iter. Total: 0.0426 s/iter. ETA=0:03:33 [10/24 21:45:30] d2.evaluation.evaluator INFO: Inference done 370/5258. Dataloading: 0.0010 s/iter. 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ETA=0:00:02 [10/24 21:48:59] d2.evaluation.evaluator INFO: Total inference time: 0:03:43.572473 (0.042561 s / iter per device, on 1 devices) [10/24 21:48:59] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:34 (0.040835 s / iter per device, on 1 devices) [10/24 21:48:59] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 21:50:33] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 21:50:33] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 21:50:33] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 21:50:33] d2.evaluation.testing INFO: copypaste: 5.5525,11.9591,4.6938 [10/24 21:50:35] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 21:50:35] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 21:50:35] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 21:50:35] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 21:50:36] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0491 s/iter. Eval: 0.0006 s/iter. Total: 0.0504 s/iter. ETA=0:04:24 [10/24 21:50:41] d2.evaluation.evaluator INFO: Inference done 113/5258. Dataloading: 0.0012 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:04:14 [10/24 21:50:47] d2.evaluation.evaluator INFO: Inference done 215/5258. Dataloading: 0.0011 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:04:08 [10/24 21:50:52] d2.evaluation.evaluator INFO: Inference done 318/5258. Dataloading: 0.0011 s/iter. 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Total: 0.0495 s/iter. ETA=0:00:03 [10/24 21:54:56] d2.evaluation.evaluator INFO: Total inference time: 0:04:19.885808 (0.049474 s / iter per device, on 1 devices) [10/24 21:54:56] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:11 (0.047910 s / iter per device, on 1 devices) [10/24 21:54:56] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 21:56:01] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 21:56:01] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 21:56:01] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 21:56:01] d2.evaluation.testing INFO: copypaste: 5.7768,12.5224,5.0646 [10/24 21:56:01] d2.utils.events INFO: eta: 1 day, 16:35:44 iter: 6399 total_loss: 1.954 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05293 loss_box_reg_sup: 0.3949 loss_rpn_cls_sup: 0.05076 loss_rpn_loc_sup: 0.3342 loss_cls_unsup: 0.3229 loss_box_reg_unsup: 0.2449 loss_rpn_cls_unsup: 0.3418 loss_rpn_loc_unsup: 0.2023 time: 4.9850 data_time: 0.8129 lr: 0.016 max_mem: 18367M [10/24 21:58:04] d2.utils.events INFO: eta: 1 day, 16:33:35 iter: 6419 total_loss: 1.9 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04381 loss_box_reg_sup: 0.3449 loss_rpn_cls_sup: 0.04513 loss_rpn_loc_sup: 0.3287 loss_cls_unsup: 0.3242 loss_box_reg_unsup: 0.2575 loss_rpn_cls_unsup: 0.3297 loss_rpn_loc_unsup: 0.2112 time: 4.9887 data_time: 0.8197 lr: 0.016 max_mem: 18367M [10/24 22:00:08] d2.utils.events INFO: eta: 1 day, 16:31:31 iter: 6439 total_loss: 1.915 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04814 loss_box_reg_sup: 0.3913 loss_rpn_cls_sup: 0.04408 loss_rpn_loc_sup: 0.3365 loss_cls_unsup: 0.3218 loss_box_reg_unsup: 0.2555 loss_rpn_cls_unsup: 0.3262 loss_rpn_loc_unsup: 0.1977 time: 4.9925 data_time: 0.8523 lr: 0.016 max_mem: 18367M [10/24 22:02:19] d2.utils.events INFO: eta: 1 day, 16:29:32 iter: 6459 total_loss: 1.941 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04769 loss_box_reg_sup: 0.3927 loss_rpn_cls_sup: 0.04542 loss_rpn_loc_sup: 0.3366 loss_cls_unsup: 0.3262 loss_box_reg_unsup: 0.2512 loss_rpn_cls_unsup: 0.3189 loss_rpn_loc_unsup: 0.2103 time: 4.9973 data_time: 0.8519 lr: 0.016 max_mem: 18367M [10/24 22:04:24] d2.utils.events INFO: eta: 1 day, 16:27:23 iter: 6479 total_loss: 1.934 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04975 loss_box_reg_sup: 0.4234 loss_rpn_cls_sup: 0.04612 loss_rpn_loc_sup: 0.3507 loss_cls_unsup: 0.3136 loss_box_reg_unsup: 0.251 loss_rpn_cls_unsup: 0.3064 loss_rpn_loc_unsup: 0.1994 time: 5.0012 data_time: 0.8235 lr: 0.016 max_mem: 18367M [10/24 22:06:29] d2.utils.events INFO: eta: 1 day, 16:25:09 iter: 6499 total_loss: 1.919 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05231 loss_box_reg_sup: 0.4024 loss_rpn_cls_sup: 0.04448 loss_rpn_loc_sup: 0.3295 loss_cls_unsup: 0.3183 loss_box_reg_unsup: 0.2638 loss_rpn_cls_unsup: 0.3307 loss_rpn_loc_unsup: 0.1952 time: 5.0050 data_time: 0.8283 lr: 0.016 max_mem: 18367M [10/24 22:08:35] d2.utils.events INFO: eta: 1 day, 16:22:42 iter: 6519 total_loss: 2 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05465 loss_box_reg_sup: 0.4123 loss_rpn_cls_sup: 0.04681 loss_rpn_loc_sup: 0.3358 loss_cls_unsup: 0.3283 loss_box_reg_unsup: 0.2624 loss_rpn_cls_unsup: 0.3379 loss_rpn_loc_unsup: 0.2203 time: 5.0090 data_time: 0.8371 lr: 0.016 max_mem: 18367M [10/24 22:10:41] d2.utils.events INFO: eta: 1 day, 16:21:02 iter: 6539 total_loss: 1.934 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05093 loss_box_reg_sup: 0.4118 loss_rpn_cls_sup: 0.04939 loss_rpn_loc_sup: 0.3381 loss_cls_unsup: 0.3227 loss_box_reg_unsup: 0.2493 loss_rpn_cls_unsup: 0.33 loss_rpn_loc_unsup: 0.2009 time: 5.0129 data_time: 0.8659 lr: 0.016 max_mem: 18367M [10/24 22:12:49] d2.utils.events INFO: eta: 1 day, 16:18:51 iter: 6559 total_loss: 1.973 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05011 loss_box_reg_sup: 0.4415 loss_rpn_cls_sup: 0.04381 loss_rpn_loc_sup: 0.3361 loss_cls_unsup: 0.3255 loss_box_reg_unsup: 0.2464 loss_rpn_cls_unsup: 0.3311 loss_rpn_loc_unsup: 0.166 time: 5.0171 data_time: 0.8076 lr: 0.016 max_mem: 18367M [10/24 22:14:53] d2.utils.events INFO: eta: 1 day, 16:16:47 iter: 6579 total_loss: 2.015 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0573 loss_box_reg_sup: 0.4438 loss_rpn_cls_sup: 0.04766 loss_rpn_loc_sup: 0.3737 loss_cls_unsup: 0.3261 loss_box_reg_unsup: 0.2398 loss_rpn_cls_unsup: 0.3422 loss_rpn_loc_unsup: 0.1993 time: 5.0207 data_time: 0.8219 lr: 0.016 max_mem: 18367M [10/24 22:16:57] d2.utils.events INFO: eta: 1 day, 16:14:55 iter: 6599 total_loss: 1.857 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0445 loss_box_reg_sup: 0.3924 loss_rpn_cls_sup: 0.04476 loss_rpn_loc_sup: 0.3167 loss_cls_unsup: 0.3172 loss_box_reg_unsup: 0.2431 loss_rpn_cls_unsup: 0.3265 loss_rpn_loc_unsup: 0.1962 time: 5.0243 data_time: 0.8670 lr: 0.016 max_mem: 18367M [10/24 22:19:02] d2.utils.events INFO: eta: 1 day, 16:13:00 iter: 6619 total_loss: 1.927 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04823 loss_box_reg_sup: 0.3973 loss_rpn_cls_sup: 0.04953 loss_rpn_loc_sup: 0.3309 loss_cls_unsup: 0.3117 loss_box_reg_unsup: 0.2583 loss_rpn_cls_unsup: 0.3371 loss_rpn_loc_unsup: 0.2072 time: 5.0280 data_time: 0.8220 lr: 0.016 max_mem: 18367M [10/24 22:21:06] d2.utils.events INFO: eta: 1 day, 16:10:56 iter: 6639 total_loss: 1.906 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04991 loss_box_reg_sup: 0.3962 loss_rpn_cls_sup: 0.04272 loss_rpn_loc_sup: 0.317 loss_cls_unsup: 0.3166 loss_box_reg_unsup: 0.2589 loss_rpn_cls_unsup: 0.3267 loss_rpn_loc_unsup: 0.1906 time: 5.0316 data_time: 0.8145 lr: 0.016 max_mem: 18367M [10/24 22:23:12] d2.utils.events INFO: eta: 1 day, 16:09:41 iter: 6659 total_loss: 1.931 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04779 loss_box_reg_sup: 0.3881 loss_rpn_cls_sup: 0.04416 loss_rpn_loc_sup: 0.3299 loss_cls_unsup: 0.3098 loss_box_reg_unsup: 0.2468 loss_rpn_cls_unsup: 0.3217 loss_rpn_loc_unsup: 0.1955 time: 5.0353 data_time: 0.8414 lr: 0.016 max_mem: 18367M [10/24 22:25:16] d2.utils.events INFO: eta: 1 day, 16:07:04 iter: 6679 total_loss: 1.972 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05192 loss_box_reg_sup: 0.402 loss_rpn_cls_sup: 0.04913 loss_rpn_loc_sup: 0.3502 loss_cls_unsup: 0.3197 loss_box_reg_unsup: 0.2554 loss_rpn_cls_unsup: 0.3251 loss_rpn_loc_unsup: 0.195 time: 5.0388 data_time: 0.8088 lr: 0.016 max_mem: 18367M [10/24 22:27:26] d2.utils.events INFO: eta: 1 day, 16:05:28 iter: 6699 total_loss: 1.913 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05202 loss_box_reg_sup: 0.3603 loss_rpn_cls_sup: 0.04628 loss_rpn_loc_sup: 0.314 loss_cls_unsup: 0.3182 loss_box_reg_unsup: 0.25 loss_rpn_cls_unsup: 0.3422 loss_rpn_loc_unsup: 0.1948 time: 5.0432 data_time: 0.8216 lr: 0.016 max_mem: 18367M [10/24 22:29:30] d2.utils.events INFO: eta: 1 day, 16:03:33 iter: 6719 total_loss: 1.943 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04876 loss_box_reg_sup: 0.4071 loss_rpn_cls_sup: 0.04554 loss_rpn_loc_sup: 0.3212 loss_cls_unsup: 0.3187 loss_box_reg_unsup: 0.2473 loss_rpn_cls_unsup: 0.3198 loss_rpn_loc_unsup: 0.2097 time: 5.0467 data_time: 0.8115 lr: 0.016 max_mem: 18367M [10/24 22:31:41] d2.utils.events INFO: eta: 1 day, 16:01:41 iter: 6739 total_loss: 1.909 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05134 loss_box_reg_sup: 0.3912 loss_rpn_cls_sup: 0.04331 loss_rpn_loc_sup: 0.3188 loss_cls_unsup: 0.3159 loss_box_reg_unsup: 0.2528 loss_rpn_cls_unsup: 0.3203 loss_rpn_loc_unsup: 0.1906 time: 5.0511 data_time: 0.8644 lr: 0.016 max_mem: 18367M [10/24 22:33:58] d2.utils.events INFO: eta: 1 day, 16:00:01 iter: 6759 total_loss: 1.861 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04265 loss_box_reg_sup: 0.3717 loss_rpn_cls_sup: 0.04129 loss_rpn_loc_sup: 0.33 loss_cls_unsup: 0.2991 loss_box_reg_unsup: 0.2474 loss_rpn_cls_unsup: 0.3208 loss_rpn_loc_unsup: 0.1768 time: 5.0564 data_time: 0.8428 lr: 0.016 max_mem: 18367M [10/24 22:36:22] d2.utils.events INFO: eta: 1 day, 15:58:27 iter: 6779 total_loss: 1.833 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04098 loss_box_reg_sup: 0.3607 loss_rpn_cls_sup: 0.04238 loss_rpn_loc_sup: 0.3203 loss_cls_unsup: 0.3249 loss_box_reg_unsup: 0.2494 loss_rpn_cls_unsup: 0.3304 loss_rpn_loc_unsup: 0.1791 time: 5.0627 data_time: 0.8412 lr: 0.016 max_mem: 18367M [10/24 22:38:54] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 22:38:54] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 22:38:54] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 22:38:54] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 22:38:55] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0358 s/iter. Eval: 0.0007 s/iter. Total: 0.0373 s/iter. ETA=0:03:15 [10/24 22:39:00] d2.evaluation.evaluator INFO: Inference done 136/5258. Dataloading: 0.0010 s/iter. Inference: 0.0383 s/iter. Eval: 0.0007 s/iter. Total: 0.0400 s/iter. ETA=0:03:25 [10/24 22:39:05] d2.evaluation.evaluator INFO: Inference done 258/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0007 s/iter. Total: 0.0406 s/iter. ETA=0:03:23 [10/24 22:39:10] d2.evaluation.evaluator INFO: Inference done 377/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0007 s/iter. Total: 0.0411 s/iter. ETA=0:03:20 [10/24 22:39:15] d2.evaluation.evaluator INFO: Inference done 494/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0007 s/iter. Total: 0.0416 s/iter. ETA=0:03:17 [10/24 22:39:20] d2.evaluation.evaluator INFO: Inference done 612/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0007 s/iter. Total: 0.0418 s/iter. ETA=0:03:14 [10/24 22:39:25] d2.evaluation.evaluator INFO: Inference done 735/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0007 s/iter. Total: 0.0416 s/iter. ETA=0:03:08 [10/24 22:39:30] d2.evaluation.evaluator INFO: Inference done 860/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0007 s/iter. Total: 0.0414 s/iter. ETA=0:03:02 [10/24 22:39:35] d2.evaluation.evaluator INFO: Inference done 982/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0007 s/iter. Total: 0.0414 s/iter. ETA=0:02:56 [10/24 22:39:40] d2.evaluation.evaluator INFO: Inference done 1105/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0007 s/iter. Total: 0.0413 s/iter. ETA=0:02:51 [10/24 22:39:45] d2.evaluation.evaluator INFO: Inference done 1232/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0007 s/iter. Total: 0.0411 s/iter. ETA=0:02:45 [10/24 22:39:50] d2.evaluation.evaluator INFO: Inference done 1353/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0007 s/iter. Total: 0.0411 s/iter. ETA=0:02:40 [10/24 22:39:55] d2.evaluation.evaluator INFO: Inference done 1475/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0007 s/iter. Total: 0.0411 s/iter. ETA=0:02:35 [10/24 22:40:00] d2.evaluation.evaluator INFO: Inference done 1602/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0007 s/iter. Total: 0.0410 s/iter. ETA=0:02:29 [10/24 22:40:05] d2.evaluation.evaluator INFO: Inference done 1724/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0007 s/iter. Total: 0.0410 s/iter. ETA=0:02:24 [10/24 22:40:10] d2.evaluation.evaluator INFO: Inference done 1850/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0007 s/iter. Total: 0.0409 s/iter. ETA=0:02:19 [10/24 22:40:15] d2.evaluation.evaluator INFO: Inference done 1972/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0007 s/iter. Total: 0.0409 s/iter. ETA=0:02:14 [10/24 22:40:21] d2.evaluation.evaluator INFO: Inference done 2101/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0007 s/iter. Total: 0.0408 s/iter. ETA=0:02:08 [10/24 22:40:26] d2.evaluation.evaluator INFO: Inference done 2227/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0007 s/iter. Total: 0.0408 s/iter. ETA=0:02:03 [10/24 22:40:31] d2.evaluation.evaluator INFO: Inference done 2337/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0007 s/iter. Total: 0.0410 s/iter. ETA=0:01:59 [10/24 22:40:36] d2.evaluation.evaluator INFO: Inference done 2454/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0007 s/iter. Total: 0.0411 s/iter. ETA=0:01:55 [10/24 22:40:41] d2.evaluation.evaluator INFO: Inference done 2577/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0007 s/iter. Total: 0.0411 s/iter. ETA=0:01:50 [10/24 22:40:46] d2.evaluation.evaluator INFO: Inference done 2693/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0007 s/iter. Total: 0.0412 s/iter. ETA=0:01:45 [10/24 22:40:51] d2.evaluation.evaluator INFO: Inference done 2801/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0007 s/iter. Total: 0.0414 s/iter. ETA=0:01:41 [10/24 22:40:56] d2.evaluation.evaluator INFO: Inference done 2902/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0007 s/iter. Total: 0.0417 s/iter. ETA=0:01:38 [10/24 22:41:01] d2.evaluation.evaluator INFO: Inference done 3027/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0007 s/iter. Total: 0.0416 s/iter. ETA=0:01:32 [10/24 22:41:06] d2.evaluation.evaluator INFO: Inference done 3149/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0007 s/iter. Total: 0.0416 s/iter. ETA=0:01:27 [10/24 22:41:11] d2.evaluation.evaluator INFO: Inference done 3268/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0007 s/iter. Total: 0.0416 s/iter. ETA=0:01:22 [10/24 22:41:16] d2.evaluation.evaluator INFO: Inference done 3393/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0007 s/iter. Total: 0.0416 s/iter. ETA=0:01:17 [10/24 22:41:21] d2.evaluation.evaluator INFO: Inference done 3519/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0007 s/iter. Total: 0.0415 s/iter. ETA=0:01:12 [10/24 22:41:26] d2.evaluation.evaluator INFO: Inference done 3635/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0007 s/iter. Total: 0.0415 s/iter. ETA=0:01:07 [10/24 22:41:31] d2.evaluation.evaluator INFO: Inference done 3758/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0007 s/iter. Total: 0.0415 s/iter. ETA=0:01:02 [10/24 22:41:36] d2.evaluation.evaluator INFO: Inference done 3870/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0007 s/iter. Total: 0.0416 s/iter. ETA=0:00:57 [10/24 22:41:41] d2.evaluation.evaluator INFO: Inference done 3989/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0007 s/iter. Total: 0.0416 s/iter. ETA=0:00:52 [10/24 22:41:46] d2.evaluation.evaluator INFO: Inference done 4113/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0007 s/iter. Total: 0.0416 s/iter. ETA=0:00:47 [10/24 22:41:51] d2.evaluation.evaluator INFO: Inference done 4233/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0007 s/iter. Total: 0.0416 s/iter. ETA=0:00:42 [10/24 22:41:56] d2.evaluation.evaluator INFO: Inference done 4350/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0007 s/iter. Total: 0.0416 s/iter. ETA=0:00:37 [10/24 22:42:01] d2.evaluation.evaluator INFO: Inference done 4473/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0007 s/iter. Total: 0.0416 s/iter. ETA=0:00:32 [10/24 22:42:06] d2.evaluation.evaluator INFO: Inference done 4592/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0007 s/iter. Total: 0.0416 s/iter. ETA=0:00:27 [10/24 22:42:11] d2.evaluation.evaluator INFO: Inference done 4714/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0007 s/iter. Total: 0.0416 s/iter. ETA=0:00:22 [10/24 22:42:16] d2.evaluation.evaluator INFO: Inference done 4833/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0007 s/iter. Total: 0.0416 s/iter. ETA=0:00:17 [10/24 22:42:21] d2.evaluation.evaluator INFO: Inference done 4954/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0007 s/iter. Total: 0.0416 s/iter. ETA=0:00:12 [10/24 22:42:26] d2.evaluation.evaluator INFO: Inference done 5077/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0007 s/iter. Total: 0.0416 s/iter. ETA=0:00:07 [10/24 22:42:31] d2.evaluation.evaluator INFO: Inference done 5197/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0007 s/iter. Total: 0.0416 s/iter. ETA=0:00:02 [10/24 22:42:34] d2.evaluation.evaluator INFO: Total inference time: 0:03:38.661636 (0.041626 s / iter per device, on 1 devices) [10/24 22:42:34] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:29 (0.039870 s / iter per device, on 1 devices) [10/24 22:42:34] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 22:44:07] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 22:44:07] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 22:44:07] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 22:44:07] d2.evaluation.testing INFO: copypaste: 5.4838,12.1669,4.6641 [10/24 22:44:09] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 22:44:09] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 22:44:09] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 22:44:09] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 22:44:10] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0500 s/iter. Eval: 0.0006 s/iter. Total: 0.0516 s/iter. ETA=0:04:30 [10/24 22:44:15] d2.evaluation.evaluator INFO: Inference done 113/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:04:14 [10/24 22:44:20] d2.evaluation.evaluator INFO: Inference done 214/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:04:09 [10/24 22:44:25] d2.evaluation.evaluator INFO: Inference done 315/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:04:05 [10/24 22:44:30] d2.evaluation.evaluator INFO: Inference done 418/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:58 [10/24 22:44:35] d2.evaluation.evaluator INFO: Inference done 521/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:03:53 [10/24 22:44:40] d2.evaluation.evaluator INFO: Inference done 622/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:03:48 [10/24 22:44:45] d2.evaluation.evaluator INFO: Inference done 725/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:03:43 [10/24 22:44:50] d2.evaluation.evaluator INFO: Inference done 826/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:03:38 [10/24 22:44:55] d2.evaluation.evaluator INFO: Inference done 930/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:03:32 [10/24 22:45:00] d2.evaluation.evaluator INFO: Inference done 1034/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:03:27 [10/24 22:45:05] d2.evaluation.evaluator INFO: Inference done 1137/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0490 s/iter. ETA=0:03:22 [10/24 22:45:10] d2.evaluation.evaluator INFO: Inference done 1239/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0490 s/iter. ETA=0:03:17 [10/24 22:45:15] d2.evaluation.evaluator INFO: Inference done 1342/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0490 s/iter. ETA=0:03:11 [10/24 22:45:20] d2.evaluation.evaluator INFO: Inference done 1446/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0490 s/iter. ETA=0:03:06 [10/24 22:45:25] d2.evaluation.evaluator INFO: Inference done 1548/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0490 s/iter. ETA=0:03:01 [10/24 22:45:30] d2.evaluation.evaluator INFO: Inference done 1651/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0490 s/iter. ETA=0:02:56 [10/24 22:45:35] d2.evaluation.evaluator INFO: Inference done 1752/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0490 s/iter. ETA=0:02:51 [10/24 22:45:40] d2.evaluation.evaluator INFO: Inference done 1856/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0490 s/iter. ETA=0:02:46 [10/24 22:45:45] d2.evaluation.evaluator INFO: Inference done 1958/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0490 s/iter. ETA=0:02:41 [10/24 22:45:50] d2.evaluation.evaluator INFO: Inference done 2059/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0490 s/iter. ETA=0:02:36 [10/24 22:45:55] d2.evaluation.evaluator INFO: Inference done 2163/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0490 s/iter. ETA=0:02:31 [10/24 22:46:00] d2.evaluation.evaluator INFO: Inference done 2264/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0490 s/iter. ETA=0:02:26 [10/24 22:46:05] d2.evaluation.evaluator INFO: Inference done 2365/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0490 s/iter. ETA=0:02:21 [10/24 22:46:10] d2.evaluation.evaluator INFO: Inference done 2465/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:02:17 [10/24 22:46:15] d2.evaluation.evaluator INFO: Inference done 2569/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:02:11 [10/24 22:46:20] d2.evaluation.evaluator INFO: Inference done 2669/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:02:07 [10/24 22:46:25] d2.evaluation.evaluator INFO: Inference done 2771/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:02:02 [10/24 22:46:30] d2.evaluation.evaluator INFO: Inference done 2873/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:01:57 [10/24 22:46:35] d2.evaluation.evaluator INFO: Inference done 2976/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:01:52 [10/24 22:46:40] d2.evaluation.evaluator INFO: Inference done 3079/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:01:47 [10/24 22:46:45] d2.evaluation.evaluator INFO: Inference done 3182/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:01:41 [10/24 22:46:50] d2.evaluation.evaluator INFO: Inference done 3285/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:01:36 [10/24 22:46:55] d2.evaluation.evaluator INFO: Inference done 3386/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:01:31 [10/24 22:47:00] d2.evaluation.evaluator INFO: Inference done 3488/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:01:26 [10/24 22:47:05] d2.evaluation.evaluator INFO: Inference done 3589/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:01:21 [10/24 22:47:10] d2.evaluation.evaluator INFO: Inference done 3689/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:01:17 [10/24 22:47:16] d2.evaluation.evaluator INFO: Inference done 3787/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:01:12 [10/24 22:47:21] d2.evaluation.evaluator INFO: Inference done 3888/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:01:07 [10/24 22:47:26] d2.evaluation.evaluator INFO: Inference done 3988/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:02 [10/24 22:47:31] d2.evaluation.evaluator INFO: Inference done 4087/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:57 [10/24 22:47:36] d2.evaluation.evaluator INFO: Inference done 4184/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:52 [10/24 22:47:41] d2.evaluation.evaluator INFO: Inference done 4283/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:48 [10/24 22:47:46] d2.evaluation.evaluator INFO: Inference done 4384/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:43 [10/24 22:47:51] d2.evaluation.evaluator INFO: Inference done 4482/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:38 [10/24 22:47:56] d2.evaluation.evaluator INFO: Inference done 4585/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:33 [10/24 22:48:01] d2.evaluation.evaluator INFO: Inference done 4688/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:28 [10/24 22:48:06] d2.evaluation.evaluator INFO: Inference done 4790/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:23 [10/24 22:48:11] d2.evaluation.evaluator INFO: Inference done 4892/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:18 [10/24 22:48:16] d2.evaluation.evaluator INFO: Inference done 4992/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:13 [10/24 22:48:21] d2.evaluation.evaluator INFO: Inference done 5093/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:08 [10/24 22:48:26] d2.evaluation.evaluator INFO: Inference done 5195/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:03 [10/24 22:48:29] d2.evaluation.evaluator INFO: Total inference time: 0:04:19.662901 (0.049431 s / iter per device, on 1 devices) [10/24 22:48:29] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:11 (0.047894 s / iter per device, on 1 devices) [10/24 22:48:29] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 22:49:34] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 22:49:34] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 22:49:34] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 22:49:34] d2.evaluation.testing INFO: copypaste: 5.8729,12.5625,5.1961 [10/24 22:49:34] d2.utils.events INFO: eta: 1 day, 15:56:35 iter: 6799 total_loss: 1.921 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04991 loss_box_reg_sup: 0.3942 loss_rpn_cls_sup: 0.04177 loss_rpn_loc_sup: 0.3282 loss_cls_unsup: 0.3196 loss_box_reg_unsup: 0.2571 loss_rpn_cls_unsup: 0.3288 loss_rpn_loc_unsup: 0.1701 time: 5.0692 data_time: 0.8251 lr: 0.016 max_mem: 18367M [10/24 22:52:02] d2.utils.events INFO: eta: 1 day, 15:55:07 iter: 6819 total_loss: 1.892 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04667 loss_box_reg_sup: 0.3861 loss_rpn_cls_sup: 0.04173 loss_rpn_loc_sup: 0.3251 loss_cls_unsup: 0.3165 loss_box_reg_unsup: 0.2563 loss_rpn_cls_unsup: 0.3394 loss_rpn_loc_unsup: 0.2067 time: 5.0761 data_time: 0.8198 lr: 0.016 max_mem: 18367M [10/24 22:54:11] d2.utils.events INFO: eta: 1 day, 15:52:53 iter: 6839 total_loss: 1.886 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04792 loss_box_reg_sup: 0.4041 loss_rpn_cls_sup: 0.03911 loss_rpn_loc_sup: 0.3141 loss_cls_unsup: 0.313 loss_box_reg_unsup: 0.2363 loss_rpn_cls_unsup: 0.3242 loss_rpn_loc_unsup: 0.1982 time: 5.0801 data_time: 0.7969 lr: 0.016 max_mem: 18367M [10/24 22:56:24] d2.utils.events INFO: eta: 1 day, 15:49:56 iter: 6859 total_loss: 1.867 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04734 loss_box_reg_sup: 0.3747 loss_rpn_cls_sup: 0.04239 loss_rpn_loc_sup: 0.328 loss_cls_unsup: 0.3232 loss_box_reg_unsup: 0.2482 loss_rpn_cls_unsup: 0.3318 loss_rpn_loc_unsup: 0.1753 time: 5.0847 data_time: 0.8091 lr: 0.016 max_mem: 18367M [10/24 22:58:29] d2.utils.events INFO: eta: 1 day, 15:47:23 iter: 6879 total_loss: 1.904 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04812 loss_box_reg_sup: 0.3971 loss_rpn_cls_sup: 0.04013 loss_rpn_loc_sup: 0.3217 loss_cls_unsup: 0.3194 loss_box_reg_unsup: 0.2457 loss_rpn_cls_unsup: 0.3155 loss_rpn_loc_unsup: 0.2073 time: 5.0880 data_time: 0.8268 lr: 0.016 max_mem: 18367M [10/24 23:00:35] d2.utils.events INFO: eta: 1 day, 15:45:00 iter: 6899 total_loss: 1.861 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04494 loss_box_reg_sup: 0.3857 loss_rpn_cls_sup: 0.03861 loss_rpn_loc_sup: 0.3105 loss_cls_unsup: 0.3155 loss_box_reg_unsup: 0.2543 loss_rpn_cls_unsup: 0.3156 loss_rpn_loc_unsup: 0.2011 time: 5.0916 data_time: 0.7883 lr: 0.016 max_mem: 18367M [10/24 23:03:03] d2.utils.events INFO: eta: 1 day, 15:42:17 iter: 6919 total_loss: 1.912 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05023 loss_box_reg_sup: 0.4093 loss_rpn_cls_sup: 0.04282 loss_rpn_loc_sup: 0.3291 loss_cls_unsup: 0.3187 loss_box_reg_unsup: 0.2533 loss_rpn_cls_unsup: 0.337 loss_rpn_loc_unsup: 0.2123 time: 5.0982 data_time: 0.7722 lr: 0.016 max_mem: 18367M [10/24 23:05:06] d2.utils.events INFO: eta: 1 day, 15:39:45 iter: 6939 total_loss: 1.932 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04799 loss_box_reg_sup: 0.3953 loss_rpn_cls_sup: 0.04746 loss_rpn_loc_sup: 0.3314 loss_cls_unsup: 0.3198 loss_box_reg_unsup: 0.2512 loss_rpn_cls_unsup: 0.3267 loss_rpn_loc_unsup: 0.1743 time: 5.1012 data_time: 0.7740 lr: 0.016 max_mem: 18367M [10/24 23:07:11] d2.utils.events INFO: eta: 1 day, 15:38:38 iter: 6959 total_loss: 1.945 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04619 loss_box_reg_sup: 0.3984 loss_rpn_cls_sup: 0.04423 loss_rpn_loc_sup: 0.3189 loss_cls_unsup: 0.3139 loss_box_reg_unsup: 0.2433 loss_rpn_cls_unsup: 0.3298 loss_rpn_loc_unsup: 0.2027 time: 5.1046 data_time: 0.7946 lr: 0.016 max_mem: 18367M [10/24 23:09:28] d2.utils.events INFO: eta: 1 day, 15:36:21 iter: 6979 total_loss: 1.872 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05163 loss_box_reg_sup: 0.3876 loss_rpn_cls_sup: 0.0447 loss_rpn_loc_sup: 0.3369 loss_cls_unsup: 0.301 loss_box_reg_unsup: 0.2439 loss_rpn_cls_unsup: 0.3135 loss_rpn_loc_unsup: 0.1873 time: 5.1095 data_time: 0.8278 lr: 0.016 max_mem: 18367M [10/24 23:11:38] d2.utils.events INFO: eta: 1 day, 15:34:33 iter: 6999 total_loss: 1.787 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04429 loss_box_reg_sup: 0.3729 loss_rpn_cls_sup: 0.04103 loss_rpn_loc_sup: 0.3094 loss_cls_unsup: 0.3024 loss_box_reg_unsup: 0.2362 loss_rpn_cls_unsup: 0.3037 loss_rpn_loc_unsup: 0.179 time: 5.1135 data_time: 0.8245 lr: 0.016 max_mem: 18367M [10/24 23:13:58] d2.utils.events INFO: eta: 1 day, 15:32:34 iter: 7019 total_loss: 1.941 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05397 loss_box_reg_sup: 0.4314 loss_rpn_cls_sup: 0.04447 loss_rpn_loc_sup: 0.3177 loss_cls_unsup: 0.3182 loss_box_reg_unsup: 0.2426 loss_rpn_cls_unsup: 0.3298 loss_rpn_loc_unsup: 0.1856 time: 5.1189 data_time: 0.7974 lr: 0.016 max_mem: 18367M [10/24 23:16:02] d2.utils.events INFO: eta: 1 day, 15:29:40 iter: 7039 total_loss: 1.997 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05255 loss_box_reg_sup: 0.427 loss_rpn_cls_sup: 0.04776 loss_rpn_loc_sup: 0.3495 loss_cls_unsup: 0.3197 loss_box_reg_unsup: 0.255 loss_rpn_cls_unsup: 0.3275 loss_rpn_loc_unsup: 0.215 time: 5.1219 data_time: 0.8017 lr: 0.016 max_mem: 18367M [10/24 23:18:19] d2.utils.events INFO: eta: 1 day, 15:27:22 iter: 7059 total_loss: 1.896 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04969 loss_box_reg_sup: 0.3825 loss_rpn_cls_sup: 0.0433 loss_rpn_loc_sup: 0.3265 loss_cls_unsup: 0.3109 loss_box_reg_unsup: 0.2567 loss_rpn_cls_unsup: 0.3278 loss_rpn_loc_unsup: 0.2015 time: 5.1269 data_time: 0.7864 lr: 0.016 max_mem: 18367M [10/24 23:20:37] d2.utils.events INFO: eta: 1 day, 15:25:24 iter: 7079 total_loss: 1.826 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04292 loss_box_reg_sup: 0.3756 loss_rpn_cls_sup: 0.04168 loss_rpn_loc_sup: 0.3214 loss_cls_unsup: 0.3069 loss_box_reg_unsup: 0.2509 loss_rpn_cls_unsup: 0.3304 loss_rpn_loc_unsup: 0.1875 time: 5.1319 data_time: 0.8343 lr: 0.016 max_mem: 18367M [10/24 23:22:52] d2.utils.events INFO: eta: 1 day, 15:23:59 iter: 7099 total_loss: 1.883 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04701 loss_box_reg_sup: 0.393 loss_rpn_cls_sup: 0.04384 loss_rpn_loc_sup: 0.3419 loss_cls_unsup: 0.3131 loss_box_reg_unsup: 0.2544 loss_rpn_cls_unsup: 0.331 loss_rpn_loc_unsup: 0.1852 time: 5.1364 data_time: 0.8746 lr: 0.016 max_mem: 18367M [10/24 23:24:54] d2.utils.events INFO: eta: 1 day, 15:21:25 iter: 7119 total_loss: 1.91 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04903 loss_box_reg_sup: 0.3894 loss_rpn_cls_sup: 0.04403 loss_rpn_loc_sup: 0.3352 loss_cls_unsup: 0.3037 loss_box_reg_unsup: 0.2638 loss_rpn_cls_unsup: 0.3221 loss_rpn_loc_unsup: 0.2135 time: 5.1392 data_time: 0.7972 lr: 0.016 max_mem: 18367M [10/24 23:27:27] d2.utils.events INFO: eta: 1 day, 15:19:13 iter: 7139 total_loss: 1.914 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.047 loss_box_reg_sup: 0.3879 loss_rpn_cls_sup: 0.04304 loss_rpn_loc_sup: 0.3358 loss_cls_unsup: 0.3146 loss_box_reg_unsup: 0.2647 loss_rpn_cls_unsup: 0.3211 loss_rpn_loc_unsup: 0.1795 time: 5.1462 data_time: 0.8089 lr: 0.016 max_mem: 18367M [10/24 23:29:38] d2.utils.events INFO: eta: 1 day, 15:17:09 iter: 7159 total_loss: 1.88 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.047 loss_box_reg_sup: 0.3887 loss_rpn_cls_sup: 0.04046 loss_rpn_loc_sup: 0.3133 loss_cls_unsup: 0.3207 loss_box_reg_unsup: 0.2496 loss_rpn_cls_unsup: 0.3283 loss_rpn_loc_unsup: 0.1993 time: 5.1500 data_time: 0.8044 lr: 0.016 max_mem: 18367M [10/24 23:31:41] d2.utils.events INFO: eta: 1 day, 15:15:05 iter: 7179 total_loss: 1.836 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04734 loss_box_reg_sup: 0.36 loss_rpn_cls_sup: 0.04201 loss_rpn_loc_sup: 0.3246 loss_cls_unsup: 0.311 loss_box_reg_unsup: 0.2441 loss_rpn_cls_unsup: 0.317 loss_rpn_loc_unsup: 0.1903 time: 5.1529 data_time: 0.7943 lr: 0.016 max_mem: 18367M [10/24 23:34:13] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 23:34:13] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 23:34:13] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 23:34:13] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 23:34:14] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0385 s/iter. Eval: 0.0006 s/iter. Total: 0.0399 s/iter. ETA=0:03:29 [10/24 23:34:19] d2.evaluation.evaluator INFO: Inference done 130/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:03:35 [10/24 23:34:24] d2.evaluation.evaluator INFO: Inference done 257/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:03:23 [10/24 23:34:29] d2.evaluation.evaluator INFO: Inference done 385/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0005 s/iter. Total: 0.0402 s/iter. ETA=0:03:15 [10/24 23:34:34] d2.evaluation.evaluator INFO: Inference done 511/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0005 s/iter. Total: 0.0401 s/iter. ETA=0:03:10 [10/24 23:34:39] d2.evaluation.evaluator INFO: Inference done 635/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0005 s/iter. Total: 0.0402 s/iter. ETA=0:03:05 [10/24 23:34:44] d2.evaluation.evaluator INFO: Inference done 754/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:03:02 [10/24 23:34:49] d2.evaluation.evaluator INFO: Inference done 876/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:02:57 [10/24 23:34:54] d2.evaluation.evaluator INFO: Inference done 1000/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:02:52 [10/24 23:34:59] d2.evaluation.evaluator INFO: Inference done 1117/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:02:49 [10/24 23:35:04] d2.evaluation.evaluator INFO: Inference done 1246/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:02:42 [10/24 23:35:09] d2.evaluation.evaluator INFO: Inference done 1372/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:02:37 [10/24 23:35:14] d2.evaluation.evaluator INFO: Inference done 1498/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:02:32 [10/24 23:35:19] d2.evaluation.evaluator INFO: Inference done 1616/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:02:28 [10/24 23:35:24] d2.evaluation.evaluator INFO: Inference done 1744/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:02:22 [10/24 23:35:29] d2.evaluation.evaluator INFO: Inference done 1873/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0404 s/iter. ETA=0:02:16 [10/24 23:35:34] d2.evaluation.evaluator INFO: Inference done 2003/5258. Dataloading: 0.0010 s/iter. Inference: 0.0388 s/iter. Eval: 0.0005 s/iter. Total: 0.0403 s/iter. ETA=0:02:11 [10/24 23:35:39] d2.evaluation.evaluator INFO: Inference done 2130/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0005 s/iter. Total: 0.0403 s/iter. ETA=0:02:05 [10/24 23:35:44] d2.evaluation.evaluator INFO: Inference done 2252/5258. Dataloading: 0.0010 s/iter. Inference: 0.0388 s/iter. Eval: 0.0005 s/iter. Total: 0.0403 s/iter. ETA=0:02:01 [10/24 23:35:49] d2.evaluation.evaluator INFO: Inference done 2378/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0005 s/iter. Total: 0.0403 s/iter. ETA=0:01:56 [10/24 23:35:54] d2.evaluation.evaluator INFO: Inference done 2505/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0005 s/iter. Total: 0.0403 s/iter. ETA=0:01:50 [10/24 23:35:59] d2.evaluation.evaluator INFO: Inference done 2630/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0005 s/iter. Total: 0.0403 s/iter. ETA=0:01:45 [10/24 23:36:04] d2.evaluation.evaluator INFO: Inference done 2756/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0005 s/iter. Total: 0.0402 s/iter. ETA=0:01:40 [10/24 23:36:09] d2.evaluation.evaluator INFO: Inference done 2880/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0005 s/iter. Total: 0.0402 s/iter. ETA=0:01:35 [10/24 23:36:14] d2.evaluation.evaluator INFO: Inference done 3003/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0005 s/iter. Total: 0.0403 s/iter. ETA=0:01:30 [10/24 23:36:20] d2.evaluation.evaluator INFO: Inference done 3127/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0005 s/iter. Total: 0.0403 s/iter. ETA=0:01:25 [10/24 23:36:25] d2.evaluation.evaluator INFO: Inference done 3251/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0005 s/iter. Total: 0.0403 s/iter. ETA=0:01:20 [10/24 23:36:30] d2.evaluation.evaluator INFO: Inference done 3375/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0005 s/iter. Total: 0.0403 s/iter. ETA=0:01:15 [10/24 23:36:35] d2.evaluation.evaluator INFO: Inference done 3502/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0005 s/iter. Total: 0.0403 s/iter. ETA=0:01:10 [10/24 23:36:40] d2.evaluation.evaluator INFO: Inference done 3630/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0005 s/iter. Total: 0.0402 s/iter. ETA=0:01:05 [10/24 23:36:45] d2.evaluation.evaluator INFO: Inference done 3758/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0005 s/iter. Total: 0.0402 s/iter. ETA=0:01:00 [10/24 23:36:50] d2.evaluation.evaluator INFO: Inference done 3885/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0005 s/iter. Total: 0.0402 s/iter. ETA=0:00:55 [10/24 23:36:55] d2.evaluation.evaluator INFO: Inference done 4015/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0005 s/iter. Total: 0.0401 s/iter. ETA=0:00:49 [10/24 23:37:00] d2.evaluation.evaluator INFO: Inference done 4144/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0005 s/iter. Total: 0.0401 s/iter. ETA=0:00:44 [10/24 23:37:05] d2.evaluation.evaluator INFO: Inference done 4274/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0005 s/iter. Total: 0.0400 s/iter. ETA=0:00:39 [10/24 23:37:10] d2.evaluation.evaluator INFO: Inference done 4401/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0005 s/iter. Total: 0.0400 s/iter. ETA=0:00:34 [10/24 23:37:15] d2.evaluation.evaluator INFO: Inference done 4532/5258. Dataloading: 0.0010 s/iter. Inference: 0.0384 s/iter. Eval: 0.0005 s/iter. Total: 0.0400 s/iter. ETA=0:00:29 [10/24 23:37:20] d2.evaluation.evaluator INFO: Inference done 4656/5258. Dataloading: 0.0010 s/iter. Inference: 0.0384 s/iter. Eval: 0.0005 s/iter. Total: 0.0400 s/iter. ETA=0:00:24 [10/24 23:37:25] d2.evaluation.evaluator INFO: Inference done 4784/5258. Dataloading: 0.0010 s/iter. Inference: 0.0384 s/iter. Eval: 0.0005 s/iter. Total: 0.0400 s/iter. ETA=0:00:18 [10/24 23:37:30] d2.evaluation.evaluator INFO: Inference done 4906/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0005 s/iter. Total: 0.0400 s/iter. ETA=0:00:14 [10/24 23:37:35] d2.evaluation.evaluator INFO: Inference done 5025/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0005 s/iter. Total: 0.0401 s/iter. ETA=0:00:09 [10/24 23:37:40] d2.evaluation.evaluator INFO: Inference done 5143/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0005 s/iter. Total: 0.0401 s/iter. ETA=0:00:04 [10/24 23:37:45] d2.evaluation.evaluator INFO: Total inference time: 0:03:31.026717 (0.040173 s / iter per device, on 1 devices) [10/24 23:37:45] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:22 (0.038605 s / iter per device, on 1 devices) [10/24 23:37:45] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 23:39:01] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 23:39:01] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 23:39:01] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 23:39:01] d2.evaluation.testing INFO: copypaste: 5.5564,12.0953,4.7305 [10/24 23:39:03] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/24 23:39:03] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/24 23:39:03] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/24 23:39:03] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/24 23:39:04] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0506 s/iter. Eval: 0.0005 s/iter. Total: 0.0520 s/iter. ETA=0:04:32 [10/24 23:39:09] d2.evaluation.evaluator INFO: Inference done 113/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:04:14 [10/24 23:39:14] d2.evaluation.evaluator INFO: Inference done 214/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:04:10 [10/24 23:39:19] d2.evaluation.evaluator INFO: Inference done 313/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:04:07 [10/24 23:39:24] d2.evaluation.evaluator INFO: Inference done 416/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:04:00 [10/24 23:39:29] d2.evaluation.evaluator INFO: Inference done 516/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:55 [10/24 23:39:34] d2.evaluation.evaluator INFO: Inference done 617/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:50 [10/24 23:39:39] d2.evaluation.evaluator INFO: Inference done 714/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:47 [10/24 23:39:44] d2.evaluation.evaluator INFO: Inference done 813/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:03:42 [10/24 23:39:49] d2.evaluation.evaluator INFO: Inference done 914/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:37 [10/24 23:39:55] d2.evaluation.evaluator INFO: Inference done 1014/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:32 [10/24 23:40:00] d2.evaluation.evaluator INFO: Inference done 1114/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:03:27 [10/24 23:40:05] d2.evaluation.evaluator INFO: Inference done 1214/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:03:22 [10/24 23:40:10] d2.evaluation.evaluator INFO: Inference done 1316/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:17 [10/24 23:40:15] d2.evaluation.evaluator INFO: Inference done 1417/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:12 [10/24 23:40:20] d2.evaluation.evaluator INFO: Inference done 1519/5258. Dataloading: 0.0010 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:06 [10/24 23:40:25] d2.evaluation.evaluator INFO: Inference done 1619/5258. Dataloading: 0.0010 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:01 [10/24 23:40:30] d2.evaluation.evaluator INFO: Inference done 1719/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:02:56 [10/24 23:40:35] d2.evaluation.evaluator INFO: Inference done 1819/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:02:51 [10/24 23:40:40] d2.evaluation.evaluator INFO: Inference done 1919/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:02:47 [10/24 23:40:45] d2.evaluation.evaluator INFO: Inference done 2018/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:02:42 [10/24 23:40:50] d2.evaluation.evaluator INFO: Inference done 2117/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:02:37 [10/24 23:40:55] d2.evaluation.evaluator INFO: Inference done 2215/5258. Dataloading: 0.0010 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:02:32 [10/24 23:41:00] d2.evaluation.evaluator INFO: Inference done 2315/5258. Dataloading: 0.0010 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:02:27 [10/24 23:41:05] d2.evaluation.evaluator INFO: Inference done 2415/5258. Dataloading: 0.0010 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:02:22 [10/24 23:41:10] d2.evaluation.evaluator INFO: Inference done 2515/5258. Dataloading: 0.0010 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:02:17 [10/24 23:41:15] d2.evaluation.evaluator INFO: Inference done 2608/5258. Dataloading: 0.0010 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:02:13 [10/24 23:41:20] d2.evaluation.evaluator INFO: Inference done 2688/5258. Dataloading: 0.0011 s/iter. Inference: 0.0491 s/iter. Eval: 0.0005 s/iter. 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ETA=0:01:45 [10/24 23:41:50] d2.evaluation.evaluator INFO: Inference done 3283/5258. Dataloading: 0.0011 s/iter. Inference: 0.0491 s/iter. Eval: 0.0005 s/iter. Total: 0.0507 s/iter. ETA=0:01:40 [10/24 23:41:55] d2.evaluation.evaluator INFO: Inference done 3385/5258. Dataloading: 0.0011 s/iter. Inference: 0.0491 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:01:34 [10/24 23:42:00] d2.evaluation.evaluator INFO: Inference done 3488/5258. Dataloading: 0.0011 s/iter. Inference: 0.0490 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:01:29 [10/24 23:42:05] d2.evaluation.evaluator INFO: Inference done 3588/5258. Dataloading: 0.0011 s/iter. Inference: 0.0490 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:01:24 [10/24 23:42:10] d2.evaluation.evaluator INFO: Inference done 3687/5258. Dataloading: 0.0011 s/iter. Inference: 0.0490 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:01:19 [10/24 23:42:15] d2.evaluation.evaluator INFO: Inference done 3788/5258. Dataloading: 0.0011 s/iter. Inference: 0.0490 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:01:14 [10/24 23:42:20] d2.evaluation.evaluator INFO: Inference done 3890/5258. Dataloading: 0.0011 s/iter. Inference: 0.0490 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:01:09 [10/24 23:42:25] d2.evaluation.evaluator INFO: Inference done 3990/5258. Dataloading: 0.0011 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:01:04 [10/24 23:42:30] d2.evaluation.evaluator INFO: Inference done 4092/5258. Dataloading: 0.0011 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:00:58 [10/24 23:42:35] d2.evaluation.evaluator INFO: Inference done 4193/5258. Dataloading: 0.0011 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:00:53 [10/24 23:42:40] d2.evaluation.evaluator INFO: Inference done 4294/5258. Dataloading: 0.0011 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0504 s/iter. ETA=0:00:48 [10/24 23:42:45] d2.evaluation.evaluator INFO: Inference done 4395/5258. Dataloading: 0.0011 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0504 s/iter. ETA=0:00:43 [10/24 23:42:50] d2.evaluation.evaluator INFO: Inference done 4500/5258. Dataloading: 0.0010 s/iter. Inference: 0.0488 s/iter. Eval: 0.0005 s/iter. Total: 0.0504 s/iter. ETA=0:00:38 [10/24 23:42:55] d2.evaluation.evaluator INFO: Inference done 4600/5258. Dataloading: 0.0010 s/iter. Inference: 0.0488 s/iter. Eval: 0.0005 s/iter. Total: 0.0504 s/iter. ETA=0:00:33 [10/24 23:43:00] d2.evaluation.evaluator INFO: Inference done 4703/5258. Dataloading: 0.0010 s/iter. Inference: 0.0488 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:00:27 [10/24 23:43:06] d2.evaluation.evaluator INFO: Inference done 4806/5258. Dataloading: 0.0010 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:00:22 [10/24 23:43:11] d2.evaluation.evaluator INFO: Inference done 4908/5258. Dataloading: 0.0010 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:00:17 [10/24 23:43:16] d2.evaluation.evaluator INFO: Inference done 5011/5258. Dataloading: 0.0010 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:00:12 [10/24 23:43:21] d2.evaluation.evaluator INFO: Inference done 5112/5258. Dataloading: 0.0010 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:00:07 [10/24 23:43:26] d2.evaluation.evaluator INFO: Inference done 5212/5258. Dataloading: 0.0010 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:00:02 [10/24 23:43:28] d2.evaluation.evaluator INFO: Total inference time: 0:04:23.875460 (0.050233 s / iter per device, on 1 devices) [10/24 23:43:28] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:15 (0.048662 s / iter per device, on 1 devices) [10/24 23:43:28] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/24 23:44:30] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/24 23:44:30] d2.evaluation.testing INFO: copypaste: Task: bbox [10/24 23:44:30] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/24 23:44:30] d2.evaluation.testing INFO: copypaste: 5.9966,12.7580,5.3071 [10/24 23:44:30] d2.utils.events INFO: eta: 1 day, 15:13:13 iter: 7199 total_loss: 1.836 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04555 loss_box_reg_sup: 0.3573 loss_rpn_cls_sup: 0.03842 loss_rpn_loc_sup: 0.2976 loss_cls_unsup: 0.3247 loss_box_reg_unsup: 0.2442 loss_rpn_cls_unsup: 0.3238 loss_rpn_loc_unsup: 0.1696 time: 5.1588 data_time: 0.8829 lr: 0.016 max_mem: 18367M [10/24 23:47:00] d2.utils.events INFO: eta: 1 day, 15:11:36 iter: 7219 total_loss: 1.843 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04142 loss_box_reg_sup: 0.3411 loss_rpn_cls_sup: 0.0402 loss_rpn_loc_sup: 0.3302 loss_cls_unsup: 0.3135 loss_box_reg_unsup: 0.2473 loss_rpn_cls_unsup: 0.3215 loss_rpn_loc_unsup: 0.1969 time: 5.1652 data_time: 0.8360 lr: 0.016 max_mem: 18367M [10/24 23:49:12] d2.utils.events INFO: eta: 1 day, 15:09:48 iter: 7239 total_loss: 1.877 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04581 loss_box_reg_sup: 0.387 loss_rpn_cls_sup: 0.04052 loss_rpn_loc_sup: 0.3177 loss_cls_unsup: 0.3042 loss_box_reg_unsup: 0.2554 loss_rpn_cls_unsup: 0.324 loss_rpn_loc_unsup: 0.1766 time: 5.1691 data_time: 0.7842 lr: 0.016 max_mem: 18367M [10/24 23:51:15] d2.utils.events INFO: eta: 1 day, 15:07:47 iter: 7259 total_loss: 1.912 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05158 loss_box_reg_sup: 0.3899 loss_rpn_cls_sup: 0.04602 loss_rpn_loc_sup: 0.3334 loss_cls_unsup: 0.3315 loss_box_reg_unsup: 0.2482 loss_rpn_cls_unsup: 0.3423 loss_rpn_loc_unsup: 0.1651 time: 5.1719 data_time: 0.7923 lr: 0.016 max_mem: 18367M [10/24 23:53:33] d2.utils.events INFO: eta: 1 day, 15:05:55 iter: 7279 total_loss: 1.907 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04569 loss_box_reg_sup: 0.3867 loss_rpn_cls_sup: 0.04193 loss_rpn_loc_sup: 0.3284 loss_cls_unsup: 0.3089 loss_box_reg_unsup: 0.2644 loss_rpn_cls_unsup: 0.3188 loss_rpn_loc_unsup: 0.1827 time: 5.1766 data_time: 0.8378 lr: 0.016 max_mem: 18367M [10/24 23:55:43] d2.utils.events INFO: eta: 1 day, 15:04:06 iter: 7299 total_loss: 1.876 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04961 loss_box_reg_sup: 0.392 loss_rpn_cls_sup: 0.04086 loss_rpn_loc_sup: 0.3434 loss_cls_unsup: 0.3012 loss_box_reg_unsup: 0.2417 loss_rpn_cls_unsup: 0.3243 loss_rpn_loc_unsup: 0.1887 time: 5.1803 data_time: 0.8307 lr: 0.016 max_mem: 18367M [10/24 23:57:48] d2.utils.events INFO: eta: 1 day, 15:02:25 iter: 7319 total_loss: 1.839 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04286 loss_box_reg_sup: 0.3523 loss_rpn_cls_sup: 0.04221 loss_rpn_loc_sup: 0.3101 loss_cls_unsup: 0.2936 loss_box_reg_unsup: 0.2413 loss_rpn_cls_unsup: 0.3184 loss_rpn_loc_unsup: 0.1921 time: 5.1833 data_time: 0.8346 lr: 0.016 max_mem: 18367M [10/24 23:59:56] d2.utils.events INFO: eta: 1 day, 15:00:52 iter: 7339 total_loss: 1.877 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05031 loss_box_reg_sup: 0.389 loss_rpn_cls_sup: 0.04126 loss_rpn_loc_sup: 0.3292 loss_cls_unsup: 0.3107 loss_box_reg_unsup: 0.2581 loss_rpn_cls_unsup: 0.3187 loss_rpn_loc_unsup: 0.1753 time: 5.1866 data_time: 0.8186 lr: 0.016 max_mem: 18367M [10/25 00:02:03] d2.utils.events INFO: eta: 1 day, 14:58:44 iter: 7359 total_loss: 1.883 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04539 loss_box_reg_sup: 0.3832 loss_rpn_cls_sup: 0.0379 loss_rpn_loc_sup: 0.3154 loss_cls_unsup: 0.3081 loss_box_reg_unsup: 0.252 loss_rpn_cls_unsup: 0.3222 loss_rpn_loc_unsup: 0.2258 time: 5.1896 data_time: 0.8582 lr: 0.016 max_mem: 18367M [10/25 00:04:18] d2.utils.events INFO: eta: 1 day, 14:57:01 iter: 7379 total_loss: 1.955 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04778 loss_box_reg_sup: 0.4253 loss_rpn_cls_sup: 0.03778 loss_rpn_loc_sup: 0.35 loss_cls_unsup: 0.3132 loss_box_reg_unsup: 0.2494 loss_rpn_cls_unsup: 0.3206 loss_rpn_loc_unsup: 0.1852 time: 5.1939 data_time: 0.8151 lr: 0.016 max_mem: 18367M [10/25 00:06:23] d2.utils.events INFO: eta: 1 day, 14:54:55 iter: 7399 total_loss: 1.936 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05029 loss_box_reg_sup: 0.3879 loss_rpn_cls_sup: 0.04466 loss_rpn_loc_sup: 0.3463 loss_cls_unsup: 0.2989 loss_box_reg_unsup: 0.2467 loss_rpn_cls_unsup: 0.341 loss_rpn_loc_unsup: 0.2194 time: 5.1967 data_time: 0.8232 lr: 0.016 max_mem: 18367M [10/25 00:08:27] d2.utils.events INFO: eta: 1 day, 14:52:53 iter: 7419 total_loss: 1.939 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04999 loss_box_reg_sup: 0.4127 loss_rpn_cls_sup: 0.04224 loss_rpn_loc_sup: 0.35 loss_cls_unsup: 0.3151 loss_box_reg_unsup: 0.2628 loss_rpn_cls_unsup: 0.321 loss_rpn_loc_unsup: 0.1828 time: 5.1994 data_time: 0.8337 lr: 0.016 max_mem: 18367M [10/25 00:10:31] d2.utils.events INFO: eta: 1 day, 14:50:47 iter: 7439 total_loss: 1.825 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04388 loss_box_reg_sup: 0.3693 loss_rpn_cls_sup: 0.04016 loss_rpn_loc_sup: 0.3128 loss_cls_unsup: 0.3018 loss_box_reg_unsup: 0.2606 loss_rpn_cls_unsup: 0.3327 loss_rpn_loc_unsup: 0.2021 time: 5.2021 data_time: 0.8343 lr: 0.016 max_mem: 18367M [10/25 00:12:36] d2.utils.events INFO: eta: 1 day, 14:49:04 iter: 7459 total_loss: 1.916 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04833 loss_box_reg_sup: 0.3981 loss_rpn_cls_sup: 0.04192 loss_rpn_loc_sup: 0.3276 loss_cls_unsup: 0.3154 loss_box_reg_unsup: 0.2577 loss_rpn_cls_unsup: 0.3358 loss_rpn_loc_unsup: 0.192 time: 5.2049 data_time: 0.8606 lr: 0.016 max_mem: 18367M [10/25 00:14:39] d2.utils.events INFO: eta: 1 day, 14:46:48 iter: 7479 total_loss: 1.898 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04758 loss_box_reg_sup: 0.4013 loss_rpn_cls_sup: 0.0425 loss_rpn_loc_sup: 0.3096 loss_cls_unsup: 0.3087 loss_box_reg_unsup: 0.2435 loss_rpn_cls_unsup: 0.3223 loss_rpn_loc_unsup: 0.1927 time: 5.2075 data_time: 0.8123 lr: 0.016 max_mem: 18367M [10/25 00:16:43] d2.utils.events INFO: eta: 1 day, 14:44:32 iter: 7499 total_loss: 1.886 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04615 loss_box_reg_sup: 0.3917 loss_rpn_cls_sup: 0.04047 loss_rpn_loc_sup: 0.3329 loss_cls_unsup: 0.3126 loss_box_reg_unsup: 0.2437 loss_rpn_cls_unsup: 0.3301 loss_rpn_loc_unsup: 0.1761 time: 5.2101 data_time: 0.8021 lr: 0.016 max_mem: 18367M [10/25 00:18:47] d2.utils.events INFO: eta: 1 day, 14:42:28 iter: 7519 total_loss: 1.822 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04252 loss_box_reg_sup: 0.3741 loss_rpn_cls_sup: 0.03998 loss_rpn_loc_sup: 0.2994 loss_cls_unsup: 0.3102 loss_box_reg_unsup: 0.2473 loss_rpn_cls_unsup: 0.3216 loss_rpn_loc_unsup: 0.1817 time: 5.2128 data_time: 0.8238 lr: 0.016 max_mem: 18367M [10/25 00:20:52] d2.utils.events INFO: eta: 1 day, 14:39:41 iter: 7539 total_loss: 1.913 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04589 loss_box_reg_sup: 0.3955 loss_rpn_cls_sup: 0.04015 loss_rpn_loc_sup: 0.3239 loss_cls_unsup: 0.3106 loss_box_reg_unsup: 0.2502 loss_rpn_cls_unsup: 0.332 loss_rpn_loc_unsup: 0.1835 time: 5.2154 data_time: 0.8283 lr: 0.016 max_mem: 18367M [10/25 00:22:55] d2.utils.events INFO: eta: 1 day, 14:37:58 iter: 7559 total_loss: 1.911 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04838 loss_box_reg_sup: 0.3873 loss_rpn_cls_sup: 0.04159 loss_rpn_loc_sup: 0.3272 loss_cls_unsup: 0.3078 loss_box_reg_unsup: 0.2585 loss_rpn_cls_unsup: 0.3416 loss_rpn_loc_unsup: 0.1916 time: 5.2180 data_time: 0.8438 lr: 0.016 max_mem: 18367M [10/25 00:25:01] d2.utils.events INFO: eta: 1 day, 14:36:05 iter: 7579 total_loss: 1.827 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04227 loss_box_reg_sup: 0.3511 loss_rpn_cls_sup: 0.03934 loss_rpn_loc_sup: 0.3111 loss_cls_unsup: 0.3045 loss_box_reg_unsup: 0.2616 loss_rpn_cls_unsup: 0.3247 loss_rpn_loc_unsup: 0.1881 time: 5.2209 data_time: 0.8447 lr: 0.016 max_mem: 18367M [10/25 00:27:14] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 00:27:14] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 00:27:14] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 00:27:14] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 00:27:15] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0375 s/iter. Eval: 0.0006 s/iter. Total: 0.0390 s/iter. ETA=0:03:24 [10/25 00:27:20] d2.evaluation.evaluator INFO: Inference done 132/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0413 s/iter. ETA=0:03:31 [10/25 00:27:25] d2.evaluation.evaluator INFO: Inference done 256/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:03:24 [10/25 00:27:30] d2.evaluation.evaluator INFO: Inference done 378/5258. Dataloading: 0.0010 s/iter. 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ETA=0:02:57 [10/25 00:28:00] d2.evaluation.evaluator INFO: Inference done 1099/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:02:52 [10/25 00:28:05] d2.evaluation.evaluator INFO: Inference done 1213/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:02:48 [10/25 00:28:10] d2.evaluation.evaluator INFO: Inference done 1338/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:02:43 [10/25 00:28:15] d2.evaluation.evaluator INFO: Inference done 1457/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:02:38 [10/25 00:28:20] d2.evaluation.evaluator INFO: Inference done 1579/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:02:32 [10/25 00:28:25] d2.evaluation.evaluator INFO: Inference done 1697/5258. 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ETA=0:01:38 [10/25 00:29:21] d2.evaluation.evaluator INFO: Inference done 3012/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:01:33 [10/25 00:29:26] d2.evaluation.evaluator INFO: Inference done 3135/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:01:28 [10/25 00:29:31] d2.evaluation.evaluator INFO: Inference done 3253/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:01:23 [10/25 00:29:36] d2.evaluation.evaluator INFO: Inference done 3373/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:01:18 [10/25 00:29:41] d2.evaluation.evaluator INFO: Inference done 3496/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:01:13 [10/25 00:29:46] d2.evaluation.evaluator INFO: Inference done 3617/5258. 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Total: 0.0418 s/iter. ETA=0:00:43 [10/25 00:30:16] d2.evaluation.evaluator INFO: Inference done 4336/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:38 [10/25 00:30:21] d2.evaluation.evaluator INFO: Inference done 4458/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:33 [10/25 00:30:26] d2.evaluation.evaluator INFO: Inference done 4573/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:28 [10/25 00:30:31] d2.evaluation.evaluator INFO: Inference done 4687/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:00:23 [10/25 00:30:36] d2.evaluation.evaluator INFO: Inference done 4807/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:00:18 [10/25 00:30:41] d2.evaluation.evaluator INFO: Inference done 4929/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:13 [10/25 00:30:46] d2.evaluation.evaluator INFO: Inference done 5054/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:08 [10/25 00:30:51] d2.evaluation.evaluator INFO: Inference done 5176/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:03 [10/25 00:30:54] d2.evaluation.evaluator INFO: Total inference time: 0:03:39.440198 (0.041774 s / iter per device, on 1 devices) [10/25 00:30:54] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:30 (0.040158 s / iter per device, on 1 devices) [10/25 00:30:54] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 00:32:01] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 00:32:01] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 00:32:01] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 00:32:01] d2.evaluation.testing INFO: copypaste: 6.1703,12.7978,5.5651 [10/25 00:32:02] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 00:32:03] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 00:32:03] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 00:32:03] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 00:32:04] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0498 s/iter. Eval: 0.0006 s/iter. Total: 0.0512 s/iter. ETA=0:04:28 [10/25 00:32:09] d2.evaluation.evaluator INFO: Inference done 111/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:04:17 [10/25 00:32:14] d2.evaluation.evaluator INFO: Inference done 212/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:04:11 [10/25 00:32:19] d2.evaluation.evaluator INFO: Inference done 313/5258. Dataloading: 0.0010 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:04:06 [10/25 00:32:24] d2.evaluation.evaluator INFO: Inference done 415/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:04:00 [10/25 00:32:29] d2.evaluation.evaluator INFO: Inference done 515/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:56 [10/25 00:32:34] d2.evaluation.evaluator INFO: Inference done 619/5258. 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ETA=0:03:01 [10/25 00:33:29] d2.evaluation.evaluator INFO: Inference done 1719/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:02:57 [10/25 00:33:34] d2.evaluation.evaluator INFO: Inference done 1819/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:02:52 [10/25 00:33:39] d2.evaluation.evaluator INFO: Inference done 1920/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:02:47 [10/25 00:33:44] d2.evaluation.evaluator INFO: Inference done 2023/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:02:41 [10/25 00:33:49] d2.evaluation.evaluator INFO: Inference done 2126/5258. Dataloading: 0.0010 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:02:36 [10/25 00:33:54] d2.evaluation.evaluator INFO: Inference done 2227/5258. 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Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:10 [10/25 00:35:20] d2.evaluation.evaluator INFO: Inference done 3954/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:04 [10/25 00:35:25] d2.evaluation.evaluator INFO: Inference done 4056/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:59 [10/25 00:35:30] d2.evaluation.evaluator INFO: Inference done 4155/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:00:54 [10/25 00:35:35] d2.evaluation.evaluator INFO: Inference done 4256/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:00:49 [10/25 00:35:40] d2.evaluation.evaluator INFO: Inference done 4358/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. 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ETA=0:00:19 [10/25 00:36:10] d2.evaluation.evaluator INFO: Inference done 4967/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:14 [10/25 00:36:15] d2.evaluation.evaluator INFO: Inference done 5069/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:09 [10/25 00:36:20] d2.evaluation.evaluator INFO: Inference done 5167/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:04 [10/25 00:36:25] d2.evaluation.evaluator INFO: Total inference time: 0:04:21.249358 (0.049733 s / iter per device, on 1 devices) [10/25 00:36:25] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:13 (0.048209 s / iter per device, on 1 devices) [10/25 00:36:25] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 00:37:26] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 00:37:26] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 00:37:26] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 00:37:26] d2.evaluation.testing INFO: copypaste: 6.0753,12.8765,5.4089 [10/25 00:37:26] d2.utils.events INFO: eta: 1 day, 14:33:29 iter: 7599 total_loss: 1.863 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04461 loss_box_reg_sup: 0.3784 loss_rpn_cls_sup: 0.04294 loss_rpn_loc_sup: 0.3359 loss_cls_unsup: 0.2894 loss_box_reg_unsup: 0.2611 loss_rpn_cls_unsup: 0.3202 loss_rpn_loc_unsup: 0.1835 time: 5.2238 data_time: 0.8292 lr: 0.016 max_mem: 18367M [10/25 00:39:31] d2.utils.events INFO: eta: 1 day, 14:32:00 iter: 7619 total_loss: 1.956 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04806 loss_box_reg_sup: 0.4121 loss_rpn_cls_sup: 0.04053 loss_rpn_loc_sup: 0.3412 loss_cls_unsup: 0.3171 loss_box_reg_unsup: 0.2483 loss_rpn_cls_unsup: 0.3226 loss_rpn_loc_unsup: 0.2213 time: 5.2265 data_time: 0.8788 lr: 0.016 max_mem: 18367M [10/25 00:41:39] d2.utils.events INFO: eta: 1 day, 14:30:10 iter: 7639 total_loss: 1.823 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04386 loss_box_reg_sup: 0.3717 loss_rpn_cls_sup: 0.03753 loss_rpn_loc_sup: 0.3242 loss_cls_unsup: 0.2989 loss_box_reg_unsup: 0.2445 loss_rpn_cls_unsup: 0.3169 loss_rpn_loc_unsup: 0.1894 time: 5.2295 data_time: 0.8124 lr: 0.016 max_mem: 18367M [10/25 00:43:48] d2.utils.events INFO: eta: 1 day, 14:28:06 iter: 7659 total_loss: 1.889 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04483 loss_box_reg_sup: 0.3628 loss_rpn_cls_sup: 0.04056 loss_rpn_loc_sup: 0.3246 loss_cls_unsup: 0.2996 loss_box_reg_unsup: 0.2587 loss_rpn_cls_unsup: 0.3271 loss_rpn_loc_unsup: 0.1959 time: 5.2328 data_time: 0.8154 lr: 0.016 max_mem: 18367M [10/25 00:45:52] d2.utils.events INFO: eta: 1 day, 14:25:48 iter: 7679 total_loss: 1.882 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04667 loss_box_reg_sup: 0.3956 loss_rpn_cls_sup: 0.04655 loss_rpn_loc_sup: 0.3529 loss_cls_unsup: 0.2951 loss_box_reg_unsup: 0.2524 loss_rpn_cls_unsup: 0.3251 loss_rpn_loc_unsup: 0.1988 time: 5.2352 data_time: 0.7873 lr: 0.016 max_mem: 18367M [10/25 00:47:56] d2.utils.events INFO: eta: 1 day, 14:22:55 iter: 7699 total_loss: 1.892 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04768 loss_box_reg_sup: 0.3815 loss_rpn_cls_sup: 0.04252 loss_rpn_loc_sup: 0.3302 loss_cls_unsup: 0.3164 loss_box_reg_unsup: 0.2487 loss_rpn_cls_unsup: 0.3141 loss_rpn_loc_unsup: 0.1924 time: 5.2378 data_time: 0.8042 lr: 0.016 max_mem: 18367M [10/25 00:50:02] d2.utils.events INFO: eta: 1 day, 14:20:31 iter: 7719 total_loss: 1.83 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03846 loss_box_reg_sup: 0.3432 loss_rpn_cls_sup: 0.03939 loss_rpn_loc_sup: 0.3295 loss_cls_unsup: 0.3063 loss_box_reg_unsup: 0.2433 loss_rpn_cls_unsup: 0.3244 loss_rpn_loc_unsup: 0.1967 time: 5.2406 data_time: 0.7926 lr: 0.016 max_mem: 18367M [10/25 00:52:08] d2.utils.events INFO: eta: 1 day, 14:18:27 iter: 7739 total_loss: 1.97 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04743 loss_box_reg_sup: 0.3999 loss_rpn_cls_sup: 0.04097 loss_rpn_loc_sup: 0.3482 loss_cls_unsup: 0.3173 loss_box_reg_unsup: 0.2656 loss_rpn_cls_unsup: 0.3212 loss_rpn_loc_unsup: 0.1887 time: 5.2432 data_time: 0.8452 lr: 0.016 max_mem: 18367M [10/25 00:54:55] d2.utils.events INFO: eta: 1 day, 14:16:53 iter: 7759 total_loss: 1.923 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04677 loss_box_reg_sup: 0.3918 loss_rpn_cls_sup: 0.04516 loss_rpn_loc_sup: 0.3315 loss_cls_unsup: 0.301 loss_box_reg_unsup: 0.2589 loss_rpn_cls_unsup: 0.328 loss_rpn_loc_unsup: 0.1749 time: 5.2512 data_time: 0.8612 lr: 0.016 max_mem: 18367M [10/25 00:56:57] d2.utils.events INFO: eta: 1 day, 14:13:49 iter: 7779 total_loss: 1.848 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04284 loss_box_reg_sup: 0.3626 loss_rpn_cls_sup: 0.03852 loss_rpn_loc_sup: 0.3087 loss_cls_unsup: 0.315 loss_box_reg_unsup: 0.2537 loss_rpn_cls_unsup: 0.3116 loss_rpn_loc_unsup: 0.1884 time: 5.2534 data_time: 0.7695 lr: 0.016 max_mem: 18367M [10/25 00:59:02] d2.utils.events INFO: eta: 1 day, 14:11:11 iter: 7799 total_loss: 1.835 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0387 loss_box_reg_sup: 0.3447 loss_rpn_cls_sup: 0.03611 loss_rpn_loc_sup: 0.2894 loss_cls_unsup: 0.3103 loss_box_reg_unsup: 0.2609 loss_rpn_cls_unsup: 0.3206 loss_rpn_loc_unsup: 0.1829 time: 5.2560 data_time: 0.8548 lr: 0.016 max_mem: 18367M [10/25 01:01:07] d2.utils.events INFO: eta: 1 day, 14:08:37 iter: 7819 total_loss: 1.809 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04718 loss_box_reg_sup: 0.3619 loss_rpn_cls_sup: 0.04178 loss_rpn_loc_sup: 0.3156 loss_cls_unsup: 0.3068 loss_box_reg_unsup: 0.2562 loss_rpn_cls_unsup: 0.3163 loss_rpn_loc_unsup: 0.1822 time: 5.2585 data_time: 0.8380 lr: 0.016 max_mem: 18367M [10/25 01:03:23] d2.utils.events INFO: eta: 1 day, 14:06:50 iter: 7839 total_loss: 1.92 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04649 loss_box_reg_sup: 0.37 loss_rpn_cls_sup: 0.03962 loss_rpn_loc_sup: 0.3218 loss_cls_unsup: 0.3063 loss_box_reg_unsup: 0.2609 loss_rpn_cls_unsup: 0.3329 loss_rpn_loc_unsup: 0.1863 time: 5.2624 data_time: 0.8070 lr: 0.016 max_mem: 18367M [10/25 01:05:32] d2.utils.events INFO: eta: 1 day, 14:04:29 iter: 7859 total_loss: 1.872 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04541 loss_box_reg_sup: 0.3766 loss_rpn_cls_sup: 0.04213 loss_rpn_loc_sup: 0.3085 loss_cls_unsup: 0.3047 loss_box_reg_unsup: 0.2635 loss_rpn_cls_unsup: 0.3127 loss_rpn_loc_unsup: 0.1927 time: 5.2655 data_time: 0.8067 lr: 0.016 max_mem: 18367M [10/25 01:07:35] d2.utils.events INFO: eta: 1 day, 14:02:12 iter: 7879 total_loss: 1.894 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04575 loss_box_reg_sup: 0.3959 loss_rpn_cls_sup: 0.0373 loss_rpn_loc_sup: 0.3323 loss_cls_unsup: 0.2968 loss_box_reg_unsup: 0.2621 loss_rpn_cls_unsup: 0.3236 loss_rpn_loc_unsup: 0.1886 time: 5.2677 data_time: 0.7968 lr: 0.016 max_mem: 18367M [10/25 01:10:04] d2.utils.events INFO: eta: 1 day, 14:01:10 iter: 7899 total_loss: 1.878 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04194 loss_box_reg_sup: 0.382 loss_rpn_cls_sup: 0.03825 loss_rpn_loc_sup: 0.3203 loss_cls_unsup: 0.31 loss_box_reg_unsup: 0.2512 loss_rpn_cls_unsup: 0.3444 loss_rpn_loc_unsup: 0.1819 time: 5.2732 data_time: 0.8085 lr: 0.016 max_mem: 18367M [10/25 01:12:23] d2.utils.events INFO: eta: 1 day, 13:59:31 iter: 7919 total_loss: 1.856 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04335 loss_box_reg_sup: 0.3666 loss_rpn_cls_sup: 0.03758 loss_rpn_loc_sup: 0.3287 loss_cls_unsup: 0.2992 loss_box_reg_unsup: 0.2578 loss_rpn_cls_unsup: 0.3143 loss_rpn_loc_unsup: 0.2116 time: 5.2775 data_time: 0.8272 lr: 0.016 max_mem: 18367M [10/25 01:14:34] d2.utils.events INFO: eta: 1 day, 13:57:57 iter: 7939 total_loss: 1.932 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04852 loss_box_reg_sup: 0.4013 loss_rpn_cls_sup: 0.04165 loss_rpn_loc_sup: 0.3302 loss_cls_unsup: 0.3034 loss_box_reg_unsup: 0.275 loss_rpn_cls_unsup: 0.3279 loss_rpn_loc_unsup: 0.2028 time: 5.2807 data_time: 0.8594 lr: 0.016 max_mem: 18367M [10/25 01:16:45] d2.utils.events INFO: eta: 1 day, 13:55:30 iter: 7959 total_loss: 1.911 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04692 loss_box_reg_sup: 0.387 loss_rpn_cls_sup: 0.04424 loss_rpn_loc_sup: 0.3321 loss_cls_unsup: 0.2977 loss_box_reg_unsup: 0.26 loss_rpn_cls_unsup: 0.3215 loss_rpn_loc_unsup: 0.2152 time: 5.2838 data_time: 0.8207 lr: 0.016 max_mem: 18367M [10/25 01:19:15] d2.utils.events INFO: eta: 1 day, 13:53:26 iter: 7979 total_loss: 1.889 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04015 loss_box_reg_sup: 0.3585 loss_rpn_cls_sup: 0.04264 loss_rpn_loc_sup: 0.3433 loss_cls_unsup: 0.2983 loss_box_reg_unsup: 0.2735 loss_rpn_cls_unsup: 0.304 loss_rpn_loc_unsup: 0.2061 time: 5.2894 data_time: 0.7793 lr: 0.016 max_mem: 18367M [10/25 01:21:19] fvcore.common.checkpoint INFO: Saving checkpoint to ./output/k2bdd/model_0007999.pth [10/25 01:21:25] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 01:21:25] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 01:21:25] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 01:21:25] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 01:21:27] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0506 s/iter. Eval: 0.0007 s/iter. Total: 0.0522 s/iter. ETA=0:04:33 [10/25 01:21:32] d2.evaluation.evaluator INFO: Inference done 134/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0007 s/iter. Total: 0.0412 s/iter. ETA=0:03:31 [10/25 01:21:37] d2.evaluation.evaluator INFO: Inference done 261/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0007 s/iter. Total: 0.0403 s/iter. ETA=0:03:21 [10/25 01:21:42] d2.evaluation.evaluator INFO: Inference done 381/5258. Dataloading: 0.0010 s/iter. 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ETA=0:00:18 [10/25 01:24:53] d2.evaluation.evaluator INFO: Inference done 4937/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0007 s/iter. Total: 0.0418 s/iter. ETA=0:00:13 [10/25 01:24:58] d2.evaluation.evaluator INFO: Inference done 5058/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0007 s/iter. Total: 0.0418 s/iter. ETA=0:00:08 [10/25 01:25:03] d2.evaluation.evaluator INFO: Inference done 5180/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0007 s/iter. Total: 0.0418 s/iter. ETA=0:00:03 [10/25 01:25:06] d2.evaluation.evaluator INFO: Total inference time: 0:03:39.332260 (0.041754 s / iter per device, on 1 devices) [10/25 01:25:06] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:30 (0.040042 s / iter per device, on 1 devices) [10/25 01:25:06] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 01:26:50] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 01:26:50] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 01:26:50] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 01:26:50] d2.evaluation.testing INFO: copypaste: 6.0530,12.4957,5.5224 [10/25 01:26:51] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 01:26:52] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 01:26:52] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 01:26:52] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 01:26:53] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0519 s/iter. Eval: 0.0005 s/iter. Total: 0.0534 s/iter. ETA=0:04:39 [10/25 01:26:58] d2.evaluation.evaluator INFO: Inference done 110/5258. Dataloading: 0.0012 s/iter. Inference: 0.0493 s/iter. Eval: 0.0005 s/iter. Total: 0.0510 s/iter. ETA=0:04:22 [10/25 01:27:03] d2.evaluation.evaluator INFO: Inference done 212/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:04:12 [10/25 01:27:08] d2.evaluation.evaluator INFO: Inference done 314/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:04:06 [10/25 01:27:13] d2.evaluation.evaluator INFO: Inference done 417/5258. Dataloading: 0.0011 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:59 [10/25 01:27:18] d2.evaluation.evaluator INFO: Inference done 518/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:54 [10/25 01:27:23] d2.evaluation.evaluator INFO: Inference done 618/5258. 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ETA=0:00:00 [10/25 01:31:15] d2.evaluation.evaluator INFO: Total inference time: 0:04:21.946164 (0.049866 s / iter per device, on 1 devices) [10/25 01:31:15] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:13 (0.048271 s / iter per device, on 1 devices) [10/25 01:31:15] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 01:32:15] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 01:32:15] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 01:32:15] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 01:32:15] d2.evaluation.testing INFO: copypaste: 6.1145,13.0155,5.4709 [10/25 01:32:15] d2.utils.events INFO: eta: 1 day, 13:51:20 iter: 7999 total_loss: 1.873 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04283 loss_box_reg_sup: 0.3474 loss_rpn_cls_sup: 0.03634 loss_rpn_loc_sup: 0.3077 loss_cls_unsup: 0.3113 loss_box_reg_unsup: 0.2637 loss_rpn_cls_unsup: 0.3353 loss_rpn_loc_unsup: 0.2218 time: 5.2916 data_time: 0.8365 lr: 0.016 max_mem: 18367M [10/25 01:34:31] d2.utils.events INFO: eta: 1 day, 13:48:51 iter: 8019 total_loss: 1.933 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04796 loss_box_reg_sup: 0.3887 loss_rpn_cls_sup: 0.04219 loss_rpn_loc_sup: 0.3174 loss_cls_unsup: 0.3064 loss_box_reg_unsup: 0.2708 loss_rpn_cls_unsup: 0.3294 loss_rpn_loc_unsup: 0.2244 time: 5.2953 data_time: 0.7917 lr: 0.016 max_mem: 18367M [10/25 01:36:36] d2.utils.events INFO: eta: 1 day, 13:47:16 iter: 8039 total_loss: 1.943 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04513 loss_box_reg_sup: 0.3859 loss_rpn_cls_sup: 0.04185 loss_rpn_loc_sup: 0.3169 loss_cls_unsup: 0.3102 loss_box_reg_unsup: 0.2693 loss_rpn_cls_unsup: 0.3297 loss_rpn_loc_unsup: 0.2044 time: 5.2977 data_time: 0.8251 lr: 0.016 max_mem: 18367M [10/25 01:38:40] d2.utils.events INFO: eta: 1 day, 13:45:10 iter: 8059 total_loss: 1.875 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04588 loss_box_reg_sup: 0.3763 loss_rpn_cls_sup: 0.03881 loss_rpn_loc_sup: 0.2996 loss_cls_unsup: 0.3069 loss_box_reg_unsup: 0.2631 loss_rpn_cls_unsup: 0.319 loss_rpn_loc_unsup: 0.2155 time: 5.2999 data_time: 0.7920 lr: 0.016 max_mem: 18367M [10/25 01:40:44] d2.utils.events INFO: eta: 1 day, 13:42:51 iter: 8079 total_loss: 1.904 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04487 loss_box_reg_sup: 0.3856 loss_rpn_cls_sup: 0.0418 loss_rpn_loc_sup: 0.343 loss_cls_unsup: 0.3023 loss_box_reg_unsup: 0.2638 loss_rpn_cls_unsup: 0.3052 loss_rpn_loc_unsup: 0.1999 time: 5.3022 data_time: 0.7968 lr: 0.016 max_mem: 18367M [10/25 01:42:49] d2.utils.events INFO: eta: 1 day, 13:39:43 iter: 8099 total_loss: 1.85 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04328 loss_box_reg_sup: 0.3755 loss_rpn_cls_sup: 0.04079 loss_rpn_loc_sup: 0.3116 loss_cls_unsup: 0.3065 loss_box_reg_unsup: 0.2674 loss_rpn_cls_unsup: 0.3158 loss_rpn_loc_unsup: 0.1995 time: 5.3045 data_time: 0.7946 lr: 0.016 max_mem: 18367M [10/25 01:45:03] d2.utils.events INFO: eta: 1 day, 13:38:57 iter: 8119 total_loss: 1.885 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04549 loss_box_reg_sup: 0.3999 loss_rpn_cls_sup: 0.03864 loss_rpn_loc_sup: 0.3339 loss_cls_unsup: 0.3016 loss_box_reg_unsup: 0.2573 loss_rpn_cls_unsup: 0.3134 loss_rpn_loc_unsup: 0.1815 time: 5.3079 data_time: 0.8047 lr: 0.016 max_mem: 18367M [10/25 01:47:05] d2.utils.events INFO: eta: 1 day, 13:35:38 iter: 8139 total_loss: 1.854 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04285 loss_box_reg_sup: 0.3751 loss_rpn_cls_sup: 0.04222 loss_rpn_loc_sup: 0.3148 loss_cls_unsup: 0.2962 loss_box_reg_unsup: 0.2634 loss_rpn_cls_unsup: 0.3315 loss_rpn_loc_unsup: 0.1793 time: 5.3099 data_time: 0.7824 lr: 0.016 max_mem: 18367M [10/25 01:49:11] d2.utils.events INFO: eta: 1 day, 13:34:09 iter: 8159 total_loss: 1.86 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04221 loss_box_reg_sup: 0.367 loss_rpn_cls_sup: 0.03897 loss_rpn_loc_sup: 0.3262 loss_cls_unsup: 0.303 loss_box_reg_unsup: 0.2567 loss_rpn_cls_unsup: 0.3152 loss_rpn_loc_unsup: 0.1924 time: 5.3123 data_time: 0.7913 lr: 0.016 max_mem: 18367M [10/25 01:51:28] d2.utils.events INFO: eta: 1 day, 13:32:20 iter: 8179 total_loss: 1.887 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04836 loss_box_reg_sup: 0.3824 loss_rpn_cls_sup: 0.03756 loss_rpn_loc_sup: 0.3169 loss_cls_unsup: 0.3047 loss_box_reg_unsup: 0.2826 loss_rpn_cls_unsup: 0.3192 loss_rpn_loc_unsup: 0.1937 time: 5.3161 data_time: 0.8386 lr: 0.016 max_mem: 18367M [10/25 01:53:39] d2.utils.events INFO: eta: 1 day, 13:30:16 iter: 8199 total_loss: 1.914 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04866 loss_box_reg_sup: 0.4102 loss_rpn_cls_sup: 0.04433 loss_rpn_loc_sup: 0.3304 loss_cls_unsup: 0.3047 loss_box_reg_unsup: 0.272 loss_rpn_cls_unsup: 0.3209 loss_rpn_loc_unsup: 0.2052 time: 5.3190 data_time: 0.8437 lr: 0.016 max_mem: 18367M [10/25 01:55:47] d2.utils.events INFO: eta: 1 day, 13:27:04 iter: 8219 total_loss: 1.848 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04576 loss_box_reg_sup: 0.3597 loss_rpn_cls_sup: 0.03866 loss_rpn_loc_sup: 0.3098 loss_cls_unsup: 0.293 loss_box_reg_unsup: 0.2586 loss_rpn_cls_unsup: 0.3066 loss_rpn_loc_unsup: 0.1734 time: 5.3217 data_time: 0.8023 lr: 0.016 max_mem: 18367M [10/25 01:58:12] d2.utils.events INFO: eta: 1 day, 13:25:14 iter: 8239 total_loss: 1.823 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03886 loss_box_reg_sup: 0.3524 loss_rpn_cls_sup: 0.03758 loss_rpn_loc_sup: 0.3161 loss_cls_unsup: 0.3089 loss_box_reg_unsup: 0.2641 loss_rpn_cls_unsup: 0.3155 loss_rpn_loc_unsup: 0.2018 time: 5.3265 data_time: 0.8862 lr: 0.016 max_mem: 18367M [10/25 02:00:18] d2.utils.events INFO: eta: 1 day, 13:23:10 iter: 8259 total_loss: 1.877 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04491 loss_box_reg_sup: 0.3876 loss_rpn_cls_sup: 0.03865 loss_rpn_loc_sup: 0.3238 loss_cls_unsup: 0.303 loss_box_reg_unsup: 0.2696 loss_rpn_cls_unsup: 0.3026 loss_rpn_loc_unsup: 0.1889 time: 5.3287 data_time: 0.8406 lr: 0.016 max_mem: 18367M [10/25 02:02:23] d2.utils.events INFO: eta: 1 day, 13:21:17 iter: 8279 total_loss: 1.902 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04404 loss_box_reg_sup: 0.3656 loss_rpn_cls_sup: 0.03751 loss_rpn_loc_sup: 0.3168 loss_cls_unsup: 0.2991 loss_box_reg_unsup: 0.2738 loss_rpn_cls_unsup: 0.3305 loss_rpn_loc_unsup: 0.2289 time: 5.3310 data_time: 0.8170 lr: 0.016 max_mem: 18367M [10/25 02:04:43] d2.utils.events INFO: eta: 1 day, 13:19:25 iter: 8299 total_loss: 1.899 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04341 loss_box_reg_sup: 0.3579 loss_rpn_cls_sup: 0.03926 loss_rpn_loc_sup: 0.2992 loss_cls_unsup: 0.3131 loss_box_reg_unsup: 0.2757 loss_rpn_cls_unsup: 0.3156 loss_rpn_loc_unsup: 0.2256 time: 5.3350 data_time: 0.8354 lr: 0.016 max_mem: 18367M [10/25 02:07:10] d2.utils.events INFO: eta: 1 day, 13:17:21 iter: 8319 total_loss: 1.896 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04524 loss_box_reg_sup: 0.3961 loss_rpn_cls_sup: 0.04061 loss_rpn_loc_sup: 0.3339 loss_cls_unsup: 0.2933 loss_box_reg_unsup: 0.2596 loss_rpn_cls_unsup: 0.3173 loss_rpn_loc_unsup: 0.1988 time: 5.3399 data_time: 0.7738 lr: 0.016 max_mem: 18367M [10/25 02:09:23] d2.utils.events INFO: eta: 1 day, 13:15:17 iter: 8339 total_loss: 1.951 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.047 loss_box_reg_sup: 0.4064 loss_rpn_cls_sup: 0.04082 loss_rpn_loc_sup: 0.3362 loss_cls_unsup: 0.3148 loss_box_reg_unsup: 0.268 loss_rpn_cls_unsup: 0.3118 loss_rpn_loc_unsup: 0.2063 time: 5.3429 data_time: 0.7872 lr: 0.016 max_mem: 18367M [10/25 02:11:39] d2.utils.events INFO: eta: 1 day, 13:13:25 iter: 8359 total_loss: 1.838 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04461 loss_box_reg_sup: 0.3415 loss_rpn_cls_sup: 0.0408 loss_rpn_loc_sup: 0.3093 loss_cls_unsup: 0.2999 loss_box_reg_unsup: 0.2718 loss_rpn_cls_unsup: 0.3185 loss_rpn_loc_unsup: 0.2269 time: 5.3465 data_time: 0.8102 lr: 0.016 max_mem: 18367M [10/25 02:13:42] d2.utils.events INFO: eta: 1 day, 13:10:33 iter: 8379 total_loss: 1.825 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04431 loss_box_reg_sup: 0.3916 loss_rpn_cls_sup: 0.03645 loss_rpn_loc_sup: 0.3127 loss_cls_unsup: 0.2998 loss_box_reg_unsup: 0.2622 loss_rpn_cls_unsup: 0.3119 loss_rpn_loc_unsup: 0.2156 time: 5.3484 data_time: 0.7855 lr: 0.016 max_mem: 18367M [10/25 02:15:59] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 02:15:59] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 02:15:59] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 02:16:00] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 02:16:00] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0403 s/iter. Eval: 0.0006 s/iter. Total: 0.0418 s/iter. ETA=0:03:39 [10/25 02:16:05] d2.evaluation.evaluator INFO: Inference done 131/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0006 s/iter. Total: 0.0420 s/iter. ETA=0:03:35 [10/25 02:16:10] d2.evaluation.evaluator INFO: Inference done 256/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0006 s/iter. Total: 0.0411 s/iter. ETA=0:03:25 [10/25 02:16:15] d2.evaluation.evaluator INFO: Inference done 376/5258. Dataloading: 0.0010 s/iter. 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ETA=0:03:07 [10/25 02:16:46] d2.evaluation.evaluator INFO: Inference done 1059/5258. Dataloading: 0.0011 s/iter. Inference: 0.0414 s/iter. Eval: 0.0006 s/iter. Total: 0.0431 s/iter. ETA=0:03:00 [10/25 02:16:51] d2.evaluation.evaluator INFO: Inference done 1158/5258. Dataloading: 0.0011 s/iter. Inference: 0.0420 s/iter. Eval: 0.0006 s/iter. Total: 0.0437 s/iter. ETA=0:02:59 [10/25 02:16:56] d2.evaluation.evaluator INFO: Inference done 1273/5258. Dataloading: 0.0011 s/iter. Inference: 0.0420 s/iter. Eval: 0.0006 s/iter. Total: 0.0437 s/iter. ETA=0:02:54 [10/25 02:17:01] d2.evaluation.evaluator INFO: Inference done 1398/5258. Dataloading: 0.0011 s/iter. Inference: 0.0417 s/iter. Eval: 0.0006 s/iter. Total: 0.0434 s/iter. ETA=0:02:47 [10/25 02:17:06] d2.evaluation.evaluator INFO: Inference done 1529/5258. Dataloading: 0.0011 s/iter. Inference: 0.0413 s/iter. Eval: 0.0006 s/iter. Total: 0.0430 s/iter. ETA=0:02:40 [10/25 02:17:11] d2.evaluation.evaluator INFO: Inference done 1645/5258. 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ETA=0:01:48 [10/25 02:18:06] d2.evaluation.evaluator INFO: Inference done 2902/5258. Dataloading: 0.0010 s/iter. Inference: 0.0417 s/iter. Eval: 0.0006 s/iter. Total: 0.0434 s/iter. ETA=0:01:42 [10/25 02:18:11] d2.evaluation.evaluator INFO: Inference done 3026/5258. Dataloading: 0.0010 s/iter. Inference: 0.0416 s/iter. Eval: 0.0006 s/iter. Total: 0.0433 s/iter. ETA=0:01:36 [10/25 02:18:16] d2.evaluation.evaluator INFO: Inference done 3155/5258. Dataloading: 0.0010 s/iter. Inference: 0.0414 s/iter. Eval: 0.0006 s/iter. Total: 0.0431 s/iter. ETA=0:01:30 [10/25 02:18:21] d2.evaluation.evaluator INFO: Inference done 3283/5258. Dataloading: 0.0010 s/iter. Inference: 0.0413 s/iter. Eval: 0.0006 s/iter. Total: 0.0430 s/iter. ETA=0:01:24 [10/25 02:18:26] d2.evaluation.evaluator INFO: Inference done 3397/5258. Dataloading: 0.0010 s/iter. Inference: 0.0413 s/iter. Eval: 0.0006 s/iter. Total: 0.0430 s/iter. ETA=0:01:20 [10/25 02:18:31] d2.evaluation.evaluator INFO: Inference done 3516/5258. 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Total: 0.0429 s/iter. ETA=0:00:49 [10/25 02:19:01] d2.evaluation.evaluator INFO: Inference done 4209/5258. Dataloading: 0.0010 s/iter. Inference: 0.0414 s/iter. Eval: 0.0006 s/iter. Total: 0.0431 s/iter. ETA=0:00:45 [10/25 02:19:06] d2.evaluation.evaluator INFO: Inference done 4293/5258. Dataloading: 0.0010 s/iter. Inference: 0.0417 s/iter. Eval: 0.0006 s/iter. Total: 0.0434 s/iter. ETA=0:00:41 [10/25 02:19:11] d2.evaluation.evaluator INFO: Inference done 4379/5258. Dataloading: 0.0010 s/iter. Inference: 0.0420 s/iter. Eval: 0.0006 s/iter. Total: 0.0437 s/iter. ETA=0:00:38 [10/25 02:19:16] d2.evaluation.evaluator INFO: Inference done 4492/5258. Dataloading: 0.0010 s/iter. Inference: 0.0420 s/iter. Eval: 0.0006 s/iter. Total: 0.0437 s/iter. ETA=0:00:33 [10/25 02:19:21] d2.evaluation.evaluator INFO: Inference done 4600/5258. Dataloading: 0.0010 s/iter. Inference: 0.0421 s/iter. Eval: 0.0006 s/iter. Total: 0.0438 s/iter. ETA=0:00:28 [10/25 02:19:26] d2.evaluation.evaluator INFO: Inference done 4721/5258. Dataloading: 0.0010 s/iter. Inference: 0.0421 s/iter. Eval: 0.0006 s/iter. Total: 0.0437 s/iter. ETA=0:00:23 [10/25 02:19:31] d2.evaluation.evaluator INFO: Inference done 4847/5258. Dataloading: 0.0010 s/iter. Inference: 0.0420 s/iter. Eval: 0.0006 s/iter. Total: 0.0436 s/iter. ETA=0:00:17 [10/25 02:19:36] d2.evaluation.evaluator INFO: Inference done 4966/5258. Dataloading: 0.0010 s/iter. Inference: 0.0419 s/iter. Eval: 0.0006 s/iter. Total: 0.0436 s/iter. ETA=0:00:12 [10/25 02:19:41] d2.evaluation.evaluator INFO: Inference done 5068/5258. Dataloading: 0.0010 s/iter. Inference: 0.0420 s/iter. Eval: 0.0006 s/iter. Total: 0.0437 s/iter. ETA=0:00:08 [10/25 02:19:46] d2.evaluation.evaluator INFO: Inference done 5167/5258. Dataloading: 0.0010 s/iter. Inference: 0.0422 s/iter. Eval: 0.0006 s/iter. Total: 0.0438 s/iter. ETA=0:00:03 [10/25 02:19:51] d2.evaluation.evaluator INFO: Total inference time: 0:03:50.351434 (0.043851 s / iter per device, on 1 devices) [10/25 02:19:51] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:41 (0.042179 s / iter per device, on 1 devices) [10/25 02:19:51] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 02:21:23] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 02:21:23] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 02:21:23] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 02:21:23] d2.evaluation.testing INFO: copypaste: 6.1553,13.3923,5.4187 [10/25 02:21:24] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 02:21:24] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 02:21:24] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 02:21:24] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 02:21:26] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0490 s/iter. Eval: 0.0006 s/iter. Total: 0.0504 s/iter. ETA=0:04:24 [10/25 02:21:31] d2.evaluation.evaluator INFO: Inference done 110/5258. Dataloading: 0.0012 s/iter. Inference: 0.0491 s/iter. Eval: 0.0005 s/iter. Total: 0.0509 s/iter. ETA=0:04:21 [10/25 02:21:36] d2.evaluation.evaluator INFO: Inference done 213/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:04:11 [10/25 02:21:41] d2.evaluation.evaluator INFO: Inference done 312/5258. Dataloading: 0.0011 s/iter. 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ETA=0:03:40 [10/25 02:22:11] d2.evaluation.evaluator INFO: Inference done 924/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:35 [10/25 02:22:16] d2.evaluation.evaluator INFO: Inference done 1027/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:29 [10/25 02:22:21] d2.evaluation.evaluator INFO: Inference done 1128/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:24 [10/25 02:22:26] d2.evaluation.evaluator INFO: Inference done 1227/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:20 [10/25 02:22:31] d2.evaluation.evaluator INFO: Inference done 1327/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:15 [10/25 02:22:36] d2.evaluation.evaluator INFO: Inference done 1430/5258. 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ETA=0:02:18 [10/25 02:23:31] d2.evaluation.evaluator INFO: Inference done 2559/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:13 [10/25 02:23:36] d2.evaluation.evaluator INFO: Inference done 2660/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:08 [10/25 02:23:41] d2.evaluation.evaluator INFO: Inference done 2761/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:03 [10/25 02:23:46] d2.evaluation.evaluator INFO: Inference done 2862/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:58 [10/25 02:23:51] d2.evaluation.evaluator INFO: Inference done 2965/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:53 [10/25 02:23:56] d2.evaluation.evaluator INFO: Inference done 3068/5258. 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ETA=0:00:56 [10/25 02:24:52] d2.evaluation.evaluator INFO: Inference done 4202/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:00:51 [10/25 02:24:57] d2.evaluation.evaluator INFO: Inference done 4305/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:00:46 [10/25 02:25:02] d2.evaluation.evaluator INFO: Inference done 4408/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:00:41 [10/25 02:25:07] d2.evaluation.evaluator INFO: Inference done 4511/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:00:36 [10/25 02:25:12] d2.evaluation.evaluator INFO: Inference done 4614/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:00:31 [10/25 02:25:17] d2.evaluation.evaluator INFO: Inference done 4717/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:00:26 [10/25 02:25:22] d2.evaluation.evaluator INFO: Inference done 4820/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:00:21 [10/25 02:25:27] d2.evaluation.evaluator INFO: Inference done 4923/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:00:16 [10/25 02:25:32] d2.evaluation.evaluator INFO: Inference done 5026/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:00:11 [10/25 02:25:37] d2.evaluation.evaluator INFO: Inference done 5126/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:00:06 [10/25 02:25:42] d2.evaluation.evaluator INFO: Inference done 5227/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:00:01 [10/25 02:25:43] d2.evaluation.evaluator INFO: Total inference time: 0:04:18.027709 (0.049120 s / iter per device, on 1 devices) [10/25 02:25:43] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:10 (0.047599 s / iter per device, on 1 devices) [10/25 02:25:43] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 02:26:45] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 02:26:45] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 02:26:45] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 02:26:45] d2.evaluation.testing INFO: copypaste: 6.2127,13.1534,5.5920 [10/25 02:26:45] d2.utils.events INFO: eta: 1 day, 13:08:54 iter: 8399 total_loss: 1.901 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04501 loss_box_reg_sup: 0.3973 loss_rpn_cls_sup: 0.03746 loss_rpn_loc_sup: 0.331 loss_cls_unsup: 0.2933 loss_box_reg_unsup: 0.2623 loss_rpn_cls_unsup: 0.3215 loss_rpn_loc_unsup: 0.219 time: 5.3513 data_time: 0.9006 lr: 0.016 max_mem: 18367M [10/25 02:29:16] d2.utils.events INFO: eta: 1 day, 13:07:21 iter: 8419 total_loss: 1.896 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04251 loss_box_reg_sup: 0.3603 loss_rpn_cls_sup: 0.03742 loss_rpn_loc_sup: 0.3245 loss_cls_unsup: 0.2901 loss_box_reg_unsup: 0.2735 loss_rpn_cls_unsup: 0.3178 loss_rpn_loc_unsup: 0.2135 time: 5.3565 data_time: 0.8182 lr: 0.016 max_mem: 18367M [10/25 02:31:26] d2.utils.events INFO: eta: 1 day, 13:05:22 iter: 8439 total_loss: 1.912 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04315 loss_box_reg_sup: 0.3636 loss_rpn_cls_sup: 0.03766 loss_rpn_loc_sup: 0.3292 loss_cls_unsup: 0.2948 loss_box_reg_unsup: 0.2699 loss_rpn_cls_unsup: 0.3287 loss_rpn_loc_unsup: 0.2134 time: 5.3592 data_time: 0.8064 lr: 0.016 max_mem: 18367M [10/25 02:33:51] d2.utils.events INFO: eta: 1 day, 13:03:13 iter: 8459 total_loss: 1.86 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03893 loss_box_reg_sup: 0.3463 loss_rpn_cls_sup: 0.03784 loss_rpn_loc_sup: 0.3053 loss_cls_unsup: 0.3099 loss_box_reg_unsup: 0.2842 loss_rpn_cls_unsup: 0.3118 loss_rpn_loc_unsup: 0.192 time: 5.3637 data_time: 0.8505 lr: 0.016 max_mem: 18367M [10/25 02:35:55] d2.utils.events INFO: eta: 1 day, 13:01:15 iter: 8479 total_loss: 1.832 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04222 loss_box_reg_sup: 0.3594 loss_rpn_cls_sup: 0.03669 loss_rpn_loc_sup: 0.3065 loss_cls_unsup: 0.2842 loss_box_reg_unsup: 0.282 loss_rpn_cls_unsup: 0.3138 loss_rpn_loc_unsup: 0.2003 time: 5.3656 data_time: 0.8123 lr: 0.016 max_mem: 18367M [10/25 02:38:00] d2.utils.events INFO: eta: 1 day, 12:59:43 iter: 8499 total_loss: 1.942 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04333 loss_box_reg_sup: 0.3876 loss_rpn_cls_sup: 0.03696 loss_rpn_loc_sup: 0.3275 loss_cls_unsup: 0.3077 loss_box_reg_unsup: 0.2827 loss_rpn_cls_unsup: 0.3153 loss_rpn_loc_unsup: 0.2073 time: 5.3677 data_time: 0.8172 lr: 0.016 max_mem: 18367M [10/25 02:40:18] d2.utils.events INFO: eta: 1 day, 12:57:41 iter: 8519 total_loss: 1.96 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.047 loss_box_reg_sup: 0.3698 loss_rpn_cls_sup: 0.04301 loss_rpn_loc_sup: 0.3165 loss_cls_unsup: 0.2993 loss_box_reg_unsup: 0.2725 loss_rpn_cls_unsup: 0.3219 loss_rpn_loc_unsup: 0.2345 time: 5.3713 data_time: 0.8115 lr: 0.016 max_mem: 18367M [10/25 02:42:32] d2.utils.events INFO: eta: 1 day, 12:55:37 iter: 8539 total_loss: 1.934 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04799 loss_box_reg_sup: 0.3993 loss_rpn_cls_sup: 0.04248 loss_rpn_loc_sup: 0.3471 loss_cls_unsup: 0.2905 loss_box_reg_unsup: 0.2701 loss_rpn_cls_unsup: 0.3129 loss_rpn_loc_unsup: 0.2013 time: 5.3744 data_time: 0.8288 lr: 0.016 max_mem: 18367M [10/25 02:44:41] d2.utils.events INFO: eta: 1 day, 12:52:54 iter: 8559 total_loss: 1.9 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04713 loss_box_reg_sup: 0.365 loss_rpn_cls_sup: 0.03916 loss_rpn_loc_sup: 0.3211 loss_cls_unsup: 0.3092 loss_box_reg_unsup: 0.261 loss_rpn_cls_unsup: 0.3186 loss_rpn_loc_unsup: 0.2041 time: 5.3769 data_time: 0.8024 lr: 0.016 max_mem: 18367M [10/25 02:47:07] d2.utils.events INFO: eta: 1 day, 12:50:30 iter: 8579 total_loss: 1.84 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04394 loss_box_reg_sup: 0.3724 loss_rpn_cls_sup: 0.04155 loss_rpn_loc_sup: 0.3416 loss_cls_unsup: 0.3018 loss_box_reg_unsup: 0.2684 loss_rpn_cls_unsup: 0.3147 loss_rpn_loc_unsup: 0.1945 time: 5.3814 data_time: 0.7920 lr: 0.016 max_mem: 18367M [10/25 02:49:24] d2.utils.events INFO: eta: 1 day, 12:47:54 iter: 8599 total_loss: 1.856 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04185 loss_box_reg_sup: 0.3497 loss_rpn_cls_sup: 0.04174 loss_rpn_loc_sup: 0.327 loss_cls_unsup: 0.2962 loss_box_reg_unsup: 0.2707 loss_rpn_cls_unsup: 0.3147 loss_rpn_loc_unsup: 0.2056 time: 5.3848 data_time: 0.8231 lr: 0.016 max_mem: 18367M [10/25 02:51:26] d2.utils.events INFO: eta: 1 day, 12:44:58 iter: 8619 total_loss: 1.953 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04755 loss_box_reg_sup: 0.4019 loss_rpn_cls_sup: 0.03534 loss_rpn_loc_sup: 0.3304 loss_cls_unsup: 0.3051 loss_box_reg_unsup: 0.2807 loss_rpn_cls_unsup: 0.3366 loss_rpn_loc_unsup: 0.2277 time: 5.3865 data_time: 0.8169 lr: 0.016 max_mem: 18367M [10/25 02:53:43] d2.utils.events INFO: eta: 1 day, 12:41:52 iter: 8639 total_loss: 1.843 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04097 loss_box_reg_sup: 0.3486 loss_rpn_cls_sup: 0.03811 loss_rpn_loc_sup: 0.3008 loss_cls_unsup: 0.3133 loss_box_reg_unsup: 0.2698 loss_rpn_cls_unsup: 0.3296 loss_rpn_loc_unsup: 0.2311 time: 5.3899 data_time: 0.7992 lr: 0.016 max_mem: 18367M [10/25 02:56:02] d2.utils.events INFO: eta: 1 day, 12:39:26 iter: 8659 total_loss: 1.942 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04612 loss_box_reg_sup: 0.3741 loss_rpn_cls_sup: 0.04312 loss_rpn_loc_sup: 0.3109 loss_cls_unsup: 0.308 loss_box_reg_unsup: 0.2746 loss_rpn_cls_unsup: 0.3243 loss_rpn_loc_unsup: 0.2248 time: 5.3935 data_time: 0.8251 lr: 0.016 max_mem: 18367M [10/25 02:58:12] d2.utils.events INFO: eta: 1 day, 12:37:34 iter: 8679 total_loss: 1.965 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04711 loss_box_reg_sup: 0.3962 loss_rpn_cls_sup: 0.04298 loss_rpn_loc_sup: 0.3043 loss_cls_unsup: 0.3017 loss_box_reg_unsup: 0.2868 loss_rpn_cls_unsup: 0.3136 loss_rpn_loc_unsup: 0.2128 time: 5.3960 data_time: 0.8614 lr: 0.016 max_mem: 18367M [10/25 03:00:31] d2.utils.events INFO: eta: 1 day, 12:35:59 iter: 8699 total_loss: 1.907 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04292 loss_box_reg_sup: 0.3685 loss_rpn_cls_sup: 0.04002 loss_rpn_loc_sup: 0.3176 loss_cls_unsup: 0.3128 loss_box_reg_unsup: 0.2929 loss_rpn_cls_unsup: 0.3161 loss_rpn_loc_unsup: 0.2205 time: 5.3996 data_time: 0.8399 lr: 0.016 max_mem: 18367M [10/25 03:02:33] d2.utils.events INFO: eta: 1 day, 12:33:02 iter: 8719 total_loss: 1.89 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04056 loss_box_reg_sup: 0.3653 loss_rpn_cls_sup: 0.03704 loss_rpn_loc_sup: 0.3132 loss_cls_unsup: 0.3065 loss_box_reg_unsup: 0.2963 loss_rpn_cls_unsup: 0.3223 loss_rpn_loc_unsup: 0.2172 time: 5.4012 data_time: 0.7817 lr: 0.016 max_mem: 18367M [10/25 03:04:42] d2.utils.events INFO: eta: 1 day, 12:29:43 iter: 8739 total_loss: 1.859 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03998 loss_box_reg_sup: 0.3794 loss_rpn_cls_sup: 0.03621 loss_rpn_loc_sup: 0.3105 loss_cls_unsup: 0.2945 loss_box_reg_unsup: 0.2791 loss_rpn_cls_unsup: 0.3053 loss_rpn_loc_unsup: 0.2109 time: 5.4036 data_time: 0.8098 lr: 0.016 max_mem: 18367M [10/25 03:06:54] d2.utils.events INFO: eta: 1 day, 12:26:16 iter: 8759 total_loss: 1.933 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04874 loss_box_reg_sup: 0.4172 loss_rpn_cls_sup: 0.04456 loss_rpn_loc_sup: 0.3392 loss_cls_unsup: 0.2949 loss_box_reg_unsup: 0.2723 loss_rpn_cls_unsup: 0.3104 loss_rpn_loc_unsup: 0.2017 time: 5.4063 data_time: 0.8173 lr: 0.016 max_mem: 18367M [10/25 03:09:02] d2.utils.events INFO: eta: 1 day, 12:24:48 iter: 8779 total_loss: 1.84 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04247 loss_box_reg_sup: 0.3645 loss_rpn_cls_sup: 0.03925 loss_rpn_loc_sup: 0.3131 loss_cls_unsup: 0.2943 loss_box_reg_unsup: 0.2721 loss_rpn_cls_unsup: 0.3091 loss_rpn_loc_unsup: 0.2026 time: 5.4086 data_time: 0.8342 lr: 0.016 max_mem: 18367M [10/25 03:11:23] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 03:11:23] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 03:11:23] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 03:11:23] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 03:11:24] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0494 s/iter. Eval: 0.0005 s/iter. Total: 0.0507 s/iter. ETA=0:04:26 [10/25 03:11:29] d2.evaluation.evaluator INFO: Inference done 110/5258. Dataloading: 0.0011 s/iter. Inference: 0.0495 s/iter. Eval: 0.0004 s/iter. Total: 0.0510 s/iter. ETA=0:04:22 [10/25 03:11:34] d2.evaluation.evaluator INFO: Inference done 224/5258. Dataloading: 0.0011 s/iter. Inference: 0.0458 s/iter. Eval: 0.0004 s/iter. Total: 0.0474 s/iter. ETA=0:03:58 [10/25 03:11:39] d2.evaluation.evaluator INFO: Inference done 346/5258. Dataloading: 0.0010 s/iter. Inference: 0.0436 s/iter. Eval: 0.0004 s/iter. Total: 0.0451 s/iter. ETA=0:03:41 [10/25 03:11:45] d2.evaluation.evaluator INFO: Inference done 464/5258. Dataloading: 0.0010 s/iter. Inference: 0.0430 s/iter. Eval: 0.0004 s/iter. Total: 0.0444 s/iter. ETA=0:03:32 [10/25 03:11:50] d2.evaluation.evaluator INFO: Inference done 592/5258. Dataloading: 0.0011 s/iter. Inference: 0.0418 s/iter. Eval: 0.0004 s/iter. Total: 0.0433 s/iter. ETA=0:03:22 [10/25 03:11:55] d2.evaluation.evaluator INFO: Inference done 707/5258. Dataloading: 0.0010 s/iter. Inference: 0.0419 s/iter. Eval: 0.0004 s/iter. Total: 0.0433 s/iter. ETA=0:03:17 [10/25 03:12:00] d2.evaluation.evaluator INFO: Inference done 837/5258. Dataloading: 0.0010 s/iter. Inference: 0.0412 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:03:08 [10/25 03:12:05] d2.evaluation.evaluator INFO: Inference done 965/5258. Dataloading: 0.0010 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:03:01 [10/25 03:12:10] d2.evaluation.evaluator INFO: Inference done 1081/5258. Dataloading: 0.0010 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0423 s/iter. ETA=0:02:56 [10/25 03:12:15] d2.evaluation.evaluator INFO: Inference done 1207/5258. Dataloading: 0.0010 s/iter. Inference: 0.0406 s/iter. Eval: 0.0004 s/iter. Total: 0.0421 s/iter. ETA=0:02:50 [10/25 03:12:20] d2.evaluation.evaluator INFO: Inference done 1318/5258. Dataloading: 0.0010 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:02:46 [10/25 03:12:25] d2.evaluation.evaluator INFO: Inference done 1443/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:02:40 [10/25 03:12:30] d2.evaluation.evaluator INFO: Inference done 1567/5258. Dataloading: 0.0010 s/iter. Inference: 0.0406 s/iter. Eval: 0.0004 s/iter. Total: 0.0420 s/iter. ETA=0:02:35 [10/25 03:12:35] d2.evaluation.evaluator INFO: Inference done 1692/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:02:29 [10/25 03:12:40] d2.evaluation.evaluator INFO: Inference done 1804/5258. Dataloading: 0.0010 s/iter. Inference: 0.0406 s/iter. Eval: 0.0004 s/iter. Total: 0.0421 s/iter. ETA=0:02:25 [10/25 03:12:45] d2.evaluation.evaluator INFO: Inference done 1920/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0421 s/iter. ETA=0:02:20 [10/25 03:12:50] d2.evaluation.evaluator INFO: Inference done 2039/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:02:15 [10/25 03:12:55] d2.evaluation.evaluator INFO: Inference done 2157/5258. Dataloading: 0.0010 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:02:10 [10/25 03:13:00] d2.evaluation.evaluator INFO: Inference done 2272/5258. Dataloading: 0.0010 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0423 s/iter. ETA=0:02:06 [10/25 03:13:05] d2.evaluation.evaluator INFO: Inference done 2397/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:02:00 [10/25 03:13:10] d2.evaluation.evaluator INFO: Inference done 2527/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0004 s/iter. Total: 0.0420 s/iter. ETA=0:01:54 [10/25 03:13:15] d2.evaluation.evaluator INFO: Inference done 2654/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:01:49 [10/25 03:13:20] d2.evaluation.evaluator INFO: Inference done 2777/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:01:43 [10/25 03:13:25] d2.evaluation.evaluator INFO: Inference done 2891/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:01:39 [10/25 03:13:30] d2.evaluation.evaluator INFO: Inference done 3015/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:01:33 [10/25 03:13:35] d2.evaluation.evaluator INFO: Inference done 3145/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:01:28 [10/25 03:13:40] d2.evaluation.evaluator INFO: Inference done 3265/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:01:23 [10/25 03:13:45] d2.evaluation.evaluator INFO: Inference done 3392/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:01:17 [10/25 03:13:50] d2.evaluation.evaluator INFO: Inference done 3508/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:01:12 [10/25 03:13:55] d2.evaluation.evaluator INFO: Inference done 3624/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:01:08 [10/25 03:14:00] d2.evaluation.evaluator INFO: Inference done 3749/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:01:02 [10/25 03:14:05] d2.evaluation.evaluator INFO: Inference done 3867/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:00:58 [10/25 03:14:10] d2.evaluation.evaluator INFO: Inference done 3986/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:00:53 [10/25 03:14:15] d2.evaluation.evaluator INFO: Inference done 4111/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:00:47 [10/25 03:14:20] d2.evaluation.evaluator INFO: Inference done 4237/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:00:42 [10/25 03:14:25] d2.evaluation.evaluator INFO: Inference done 4356/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:00:37 [10/25 03:14:30] d2.evaluation.evaluator INFO: Inference done 4477/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:00:32 [10/25 03:14:35] d2.evaluation.evaluator INFO: Inference done 4600/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:00:27 [10/25 03:14:40] d2.evaluation.evaluator INFO: Inference done 4718/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:00:22 [10/25 03:14:45] d2.evaluation.evaluator INFO: Inference done 4843/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:00:17 [10/25 03:14:50] d2.evaluation.evaluator INFO: Inference done 4964/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:00:12 [10/25 03:14:55] d2.evaluation.evaluator INFO: Inference done 5085/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:00:07 [10/25 03:15:00] d2.evaluation.evaluator INFO: Inference done 5200/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:00:02 [10/25 03:15:03] d2.evaluation.evaluator INFO: Total inference time: 0:03:39.099065 (0.041709 s / iter per device, on 1 devices) [10/25 03:15:03] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:31 (0.040273 s / iter per device, on 1 devices) [10/25 03:15:03] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 03:15:51] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 03:15:51] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 03:15:51] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 03:15:51] d2.evaluation.testing INFO: copypaste: 5.8166,12.1297,5.2314 [10/25 03:15:53] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 03:15:53] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 03:15:53] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 03:15:53] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 03:15:54] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0469 s/iter. Eval: 0.0005 s/iter. Total: 0.0483 s/iter. ETA=0:04:13 [10/25 03:15:59] d2.evaluation.evaluator INFO: Inference done 115/5258. Dataloading: 0.0010 s/iter. Inference: 0.0470 s/iter. Eval: 0.0005 s/iter. Total: 0.0485 s/iter. ETA=0:04:09 [10/25 03:16:04] d2.evaluation.evaluator INFO: Inference done 216/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:04:07 [10/25 03:16:09] d2.evaluation.evaluator INFO: Inference done 318/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:04:02 [10/25 03:16:14] d2.evaluation.evaluator INFO: Inference done 421/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:03:57 [10/25 03:16:19] d2.evaluation.evaluator INFO: Inference done 523/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:03:52 [10/25 03:16:24] d2.evaluation.evaluator INFO: Inference done 625/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:03:47 [10/25 03:16:29] d2.evaluation.evaluator INFO: Inference done 727/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:03:42 [10/25 03:16:34] d2.evaluation.evaluator INFO: Inference done 828/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:03:38 [10/25 03:16:39] d2.evaluation.evaluator INFO: Inference done 930/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:03:33 [10/25 03:16:44] d2.evaluation.evaluator INFO: Inference done 1031/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:03:28 [10/25 03:16:49] d2.evaluation.evaluator INFO: Inference done 1133/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:03:23 [10/25 03:16:54] d2.evaluation.evaluator INFO: Inference done 1234/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:03:18 [10/25 03:16:59] d2.evaluation.evaluator INFO: Inference done 1337/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:03:13 [10/25 03:17:04] d2.evaluation.evaluator INFO: Inference done 1441/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:03:07 [10/25 03:17:09] d2.evaluation.evaluator INFO: Inference done 1537/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:03 [10/25 03:17:14] d2.evaluation.evaluator INFO: Inference done 1640/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:58 [10/25 03:17:19] d2.evaluation.evaluator INFO: Inference done 1743/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:53 [10/25 03:17:24] d2.evaluation.evaluator INFO: Inference done 1847/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:48 [10/25 03:17:29] d2.evaluation.evaluator INFO: Inference done 1948/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:43 [10/25 03:17:34] d2.evaluation.evaluator INFO: Inference done 2049/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:38 [10/25 03:17:39] d2.evaluation.evaluator INFO: Inference done 2150/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:33 [10/25 03:17:44] d2.evaluation.evaluator INFO: Inference done 2250/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:28 [10/25 03:17:49] d2.evaluation.evaluator INFO: Inference done 2351/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:23 [10/25 03:17:55] d2.evaluation.evaluator INFO: Inference done 2454/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:18 [10/25 03:18:00] d2.evaluation.evaluator INFO: Inference done 2551/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:13 [10/25 03:18:05] d2.evaluation.evaluator INFO: Inference done 2653/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:08 [10/25 03:18:10] d2.evaluation.evaluator INFO: Inference done 2755/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:03 [10/25 03:18:15] d2.evaluation.evaluator INFO: Inference done 2855/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:58 [10/25 03:18:20] d2.evaluation.evaluator INFO: Inference done 2955/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:54 [10/25 03:18:25] d2.evaluation.evaluator INFO: Inference done 3057/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:48 [10/25 03:18:30] d2.evaluation.evaluator INFO: Inference done 3157/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:44 [10/25 03:18:35] d2.evaluation.evaluator INFO: Inference done 3258/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:39 [10/25 03:18:40] d2.evaluation.evaluator INFO: Inference done 3359/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:34 [10/25 03:18:45] d2.evaluation.evaluator INFO: Inference done 3460/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:01:29 [10/25 03:18:50] d2.evaluation.evaluator INFO: Inference done 3562/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:24 [10/25 03:18:55] d2.evaluation.evaluator INFO: Inference done 3662/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:01:19 [10/25 03:19:00] d2.evaluation.evaluator INFO: Inference done 3765/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:13 [10/25 03:19:05] d2.evaluation.evaluator INFO: Inference done 3867/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:08 [10/25 03:19:10] d2.evaluation.evaluator INFO: Inference done 3969/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:03 [10/25 03:19:15] d2.evaluation.evaluator INFO: Inference done 4069/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:58 [10/25 03:19:20] d2.evaluation.evaluator INFO: Inference done 4169/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:53 [10/25 03:19:25] d2.evaluation.evaluator INFO: Inference done 4269/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:49 [10/25 03:19:30] d2.evaluation.evaluator INFO: Inference done 4369/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:44 [10/25 03:19:35] d2.evaluation.evaluator INFO: Inference done 4472/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:38 [10/25 03:19:40] d2.evaluation.evaluator INFO: Inference done 4575/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:33 [10/25 03:19:45] d2.evaluation.evaluator INFO: Inference done 4676/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:28 [10/25 03:19:50] d2.evaluation.evaluator INFO: Inference done 4778/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:23 [10/25 03:19:55] d2.evaluation.evaluator INFO: Inference done 4878/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:18 [10/25 03:20:00] d2.evaluation.evaluator INFO: Inference done 4981/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:13 [10/25 03:20:05] d2.evaluation.evaluator INFO: Inference done 5082/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:08 [10/25 03:20:10] d2.evaluation.evaluator INFO: Inference done 5185/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:03 [10/25 03:20:14] d2.evaluation.evaluator INFO: Total inference time: 0:04:20.279698 (0.049549 s / iter per device, on 1 devices) [10/25 03:20:14] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:12 (0.048018 s / iter per device, on 1 devices) [10/25 03:20:14] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 03:21:15] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 03:21:15] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 03:21:15] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 03:21:15] d2.evaluation.testing INFO: copypaste: 6.2615,13.2179,5.6253 [10/25 03:21:15] d2.utils.events INFO: eta: 1 day, 12:22:19 iter: 8799 total_loss: 1.957 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04548 loss_box_reg_sup: 0.3903 loss_rpn_cls_sup: 0.03949 loss_rpn_loc_sup: 0.3346 loss_cls_unsup: 0.3047 loss_box_reg_unsup: 0.2729 loss_rpn_cls_unsup: 0.3233 loss_rpn_loc_unsup: 0.2188 time: 5.4117 data_time: 0.7937 lr: 0.016 max_mem: 18367M [10/25 03:23:18] d2.utils.events INFO: eta: 1 day, 12:19:13 iter: 8819 total_loss: 1.958 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04133 loss_box_reg_sup: 0.3753 loss_rpn_cls_sup: 0.03682 loss_rpn_loc_sup: 0.3344 loss_cls_unsup: 0.2946 loss_box_reg_unsup: 0.2884 loss_rpn_cls_unsup: 0.31 loss_rpn_loc_unsup: 0.2649 time: 5.4133 data_time: 0.8283 lr: 0.016 max_mem: 18367M [10/25 03:25:20] d2.utils.events INFO: eta: 1 day, 12:16:32 iter: 8839 total_loss: 1.893 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0461 loss_box_reg_sup: 0.3669 loss_rpn_cls_sup: 0.03742 loss_rpn_loc_sup: 0.3224 loss_cls_unsup: 0.3094 loss_box_reg_unsup: 0.2751 loss_rpn_cls_unsup: 0.3297 loss_rpn_loc_unsup: 0.2303 time: 5.4149 data_time: 0.8215 lr: 0.016 max_mem: 18367M [10/25 03:27:23] d2.utils.events INFO: eta: 1 day, 12:13:53 iter: 8859 total_loss: 1.897 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04485 loss_box_reg_sup: 0.3699 loss_rpn_cls_sup: 0.03919 loss_rpn_loc_sup: 0.3261 loss_cls_unsup: 0.3067 loss_box_reg_unsup: 0.2922 loss_rpn_cls_unsup: 0.3186 loss_rpn_loc_unsup: 0.2217 time: 5.4166 data_time: 0.8516 lr: 0.016 max_mem: 18367M [10/25 03:29:27] d2.utils.events INFO: eta: 1 day, 12:12:09 iter: 8879 total_loss: 1.888 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04264 loss_box_reg_sup: 0.3572 loss_rpn_cls_sup: 0.03631 loss_rpn_loc_sup: 0.2997 loss_cls_unsup: 0.2988 loss_box_reg_unsup: 0.3029 loss_rpn_cls_unsup: 0.3324 loss_rpn_loc_unsup: 0.2476 time: 5.4183 data_time: 0.8288 lr: 0.016 max_mem: 18367M [10/25 03:31:31] d2.utils.events INFO: eta: 1 day, 12:09:22 iter: 8899 total_loss: 1.963 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0442 loss_box_reg_sup: 0.3864 loss_rpn_cls_sup: 0.04326 loss_rpn_loc_sup: 0.3504 loss_cls_unsup: 0.3001 loss_box_reg_unsup: 0.3016 loss_rpn_cls_unsup: 0.3113 loss_rpn_loc_unsup: 0.2105 time: 5.4201 data_time: 0.8132 lr: 0.016 max_mem: 18367M [10/25 03:33:34] d2.utils.events INFO: eta: 1 day, 12:06:54 iter: 8919 total_loss: 1.885 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04203 loss_box_reg_sup: 0.3692 loss_rpn_cls_sup: 0.03572 loss_rpn_loc_sup: 0.3151 loss_cls_unsup: 0.303 loss_box_reg_unsup: 0.2898 loss_rpn_cls_unsup: 0.3032 loss_rpn_loc_unsup: 0.2385 time: 5.4217 data_time: 0.8620 lr: 0.016 max_mem: 18367M [10/25 03:35:38] d2.utils.events INFO: eta: 1 day, 12:03:38 iter: 8939 total_loss: 1.948 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04463 loss_box_reg_sup: 0.4085 loss_rpn_cls_sup: 0.03771 loss_rpn_loc_sup: 0.3286 loss_cls_unsup: 0.3116 loss_box_reg_unsup: 0.2712 loss_rpn_cls_unsup: 0.3399 loss_rpn_loc_unsup: 0.2402 time: 5.4234 data_time: 0.8341 lr: 0.016 max_mem: 18367M [10/25 03:37:41] d2.utils.events INFO: eta: 1 day, 12:01:34 iter: 8959 total_loss: 1.869 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0425 loss_box_reg_sup: 0.3771 loss_rpn_cls_sup: 0.04119 loss_rpn_loc_sup: 0.3154 loss_cls_unsup: 0.3009 loss_box_reg_unsup: 0.2639 loss_rpn_cls_unsup: 0.3028 loss_rpn_loc_unsup: 0.2294 time: 5.4251 data_time: 0.8369 lr: 0.016 max_mem: 18367M [10/25 03:39:44] d2.utils.events INFO: eta: 1 day, 11:58:53 iter: 8979 total_loss: 1.957 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04344 loss_box_reg_sup: 0.3844 loss_rpn_cls_sup: 0.03825 loss_rpn_loc_sup: 0.3376 loss_cls_unsup: 0.2929 loss_box_reg_unsup: 0.2809 loss_rpn_cls_unsup: 0.3089 loss_rpn_loc_unsup: 0.2435 time: 5.4267 data_time: 0.8320 lr: 0.016 max_mem: 18367M [10/25 03:41:46] d2.utils.events INFO: eta: 1 day, 11:55:51 iter: 8999 total_loss: 1.903 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04502 loss_box_reg_sup: 0.3787 loss_rpn_cls_sup: 0.0416 loss_rpn_loc_sup: 0.3111 loss_cls_unsup: 0.3125 loss_box_reg_unsup: 0.2683 loss_rpn_cls_unsup: 0.3154 loss_rpn_loc_unsup: 0.2274 time: 5.4282 data_time: 0.8157 lr: 0.016 max_mem: 18367M [10/25 03:43:49] d2.utils.events INFO: eta: 1 day, 11:53:05 iter: 9019 total_loss: 1.924 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04552 loss_box_reg_sup: 0.3851 loss_rpn_cls_sup: 0.04078 loss_rpn_loc_sup: 0.3424 loss_cls_unsup: 0.2962 loss_box_reg_unsup: 0.2961 loss_rpn_cls_unsup: 0.3234 loss_rpn_loc_unsup: 0.236 time: 5.4297 data_time: 0.8260 lr: 0.016 max_mem: 18367M [10/25 03:45:51] d2.utils.events INFO: eta: 1 day, 11:50:48 iter: 9039 total_loss: 1.906 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04146 loss_box_reg_sup: 0.3634 loss_rpn_cls_sup: 0.03991 loss_rpn_loc_sup: 0.3247 loss_cls_unsup: 0.302 loss_box_reg_unsup: 0.2734 loss_rpn_cls_unsup: 0.3144 loss_rpn_loc_unsup: 0.2483 time: 5.4313 data_time: 0.8002 lr: 0.016 max_mem: 18367M [10/25 03:47:54] d2.utils.events INFO: eta: 1 day, 11:48:09 iter: 9059 total_loss: 1.916 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04345 loss_box_reg_sup: 0.3612 loss_rpn_cls_sup: 0.04476 loss_rpn_loc_sup: 0.317 loss_cls_unsup: 0.2917 loss_box_reg_unsup: 0.2911 loss_rpn_cls_unsup: 0.32 loss_rpn_loc_unsup: 0.2054 time: 5.4329 data_time: 0.8397 lr: 0.016 max_mem: 18367M [10/25 03:49:58] d2.utils.events INFO: eta: 1 day, 11:45:22 iter: 9079 total_loss: 1.909 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04309 loss_box_reg_sup: 0.354 loss_rpn_cls_sup: 0.03823 loss_rpn_loc_sup: 0.3066 loss_cls_unsup: 0.2989 loss_box_reg_unsup: 0.2919 loss_rpn_cls_unsup: 0.3229 loss_rpn_loc_unsup: 0.2203 time: 5.4345 data_time: 0.8514 lr: 0.016 max_mem: 18367M [10/25 03:52:01] d2.utils.events INFO: eta: 1 day, 11:42:51 iter: 9099 total_loss: 1.844 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04058 loss_box_reg_sup: 0.3568 loss_rpn_cls_sup: 0.03691 loss_rpn_loc_sup: 0.3017 loss_cls_unsup: 0.2891 loss_box_reg_unsup: 0.2766 loss_rpn_cls_unsup: 0.3032 loss_rpn_loc_unsup: 0.2128 time: 5.4361 data_time: 0.8235 lr: 0.016 max_mem: 18367M [10/25 03:54:06] d2.utils.events INFO: eta: 1 day, 11:39:33 iter: 9119 total_loss: 1.912 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0411 loss_box_reg_sup: 0.3664 loss_rpn_cls_sup: 0.03925 loss_rpn_loc_sup: 0.3317 loss_cls_unsup: 0.2988 loss_box_reg_unsup: 0.297 loss_rpn_cls_unsup: 0.3222 loss_rpn_loc_unsup: 0.2327 time: 5.4379 data_time: 0.8124 lr: 0.016 max_mem: 18367M [10/25 03:56:19] d2.utils.events INFO: eta: 1 day, 11:38:00 iter: 9139 total_loss: 1.946 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04402 loss_box_reg_sup: 0.3709 loss_rpn_cls_sup: 0.03977 loss_rpn_loc_sup: 0.3326 loss_cls_unsup: 0.3046 loss_box_reg_unsup: 0.2861 loss_rpn_cls_unsup: 0.3186 loss_rpn_loc_unsup: 0.2117 time: 5.4406 data_time: 0.8293 lr: 0.016 max_mem: 18367M [10/25 03:58:25] d2.utils.events INFO: eta: 1 day, 11:35:22 iter: 9159 total_loss: 1.967 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04421 loss_box_reg_sup: 0.3833 loss_rpn_cls_sup: 0.03754 loss_rpn_loc_sup: 0.3416 loss_cls_unsup: 0.3147 loss_box_reg_unsup: 0.294 loss_rpn_cls_unsup: 0.3342 loss_rpn_loc_unsup: 0.2384 time: 5.4424 data_time: 0.8272 lr: 0.016 max_mem: 18367M [10/25 04:00:28] d2.utils.events INFO: eta: 1 day, 11:32:48 iter: 9179 total_loss: 1.963 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04537 loss_box_reg_sup: 0.3961 loss_rpn_cls_sup: 0.04034 loss_rpn_loc_sup: 0.3434 loss_cls_unsup: 0.2871 loss_box_reg_unsup: 0.2975 loss_rpn_cls_unsup: 0.3085 loss_rpn_loc_unsup: 0.2019 time: 5.4439 data_time: 0.8745 lr: 0.016 max_mem: 18367M [10/25 04:02:39] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 04:02:39] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 04:02:39] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 04:02:39] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 04:02:40] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0363 s/iter. Eval: 0.0005 s/iter. Total: 0.0377 s/iter. ETA=0:03:17 [10/25 04:02:45] d2.evaluation.evaluator INFO: Inference done 133/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0004 s/iter. Total: 0.0410 s/iter. ETA=0:03:29 [10/25 04:02:50] d2.evaluation.evaluator INFO: Inference done 248/5258. Dataloading: 0.0010 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:03:31 [10/25 04:02:55] d2.evaluation.evaluator INFO: Inference done 369/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0004 s/iter. Total: 0.0420 s/iter. ETA=0:03:25 [10/25 04:03:00] d2.evaluation.evaluator INFO: Inference done 495/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:03:17 [10/25 04:03:05] d2.evaluation.evaluator INFO: Inference done 615/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:03:12 [10/25 04:03:10] d2.evaluation.evaluator INFO: Inference done 737/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:03:07 [10/25 04:03:15] d2.evaluation.evaluator INFO: Inference done 860/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:03:02 [10/25 04:03:20] d2.evaluation.evaluator INFO: Inference done 988/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:02:55 [10/25 04:03:25] d2.evaluation.evaluator INFO: Inference done 1110/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:02:50 [10/25 04:03:31] d2.evaluation.evaluator INFO: Inference done 1235/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0410 s/iter. ETA=0:02:45 [10/25 04:03:36] d2.evaluation.evaluator INFO: Inference done 1349/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:02:41 [10/25 04:03:41] d2.evaluation.evaluator INFO: Inference done 1470/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:02:36 [10/25 04:03:46] d2.evaluation.evaluator INFO: Inference done 1591/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:02:31 [10/25 04:03:51] d2.evaluation.evaluator INFO: Inference done 1719/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:02:25 [10/25 04:03:56] d2.evaluation.evaluator INFO: Inference done 1838/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:02:21 [10/25 04:04:01] d2.evaluation.evaluator INFO: Inference done 1964/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:02:15 [10/25 04:04:06] d2.evaluation.evaluator INFO: Inference done 2086/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:02:10 [10/25 04:04:11] d2.evaluation.evaluator INFO: Inference done 2204/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:02:05 [10/25 04:04:16] d2.evaluation.evaluator INFO: Inference done 2323/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:02:01 [10/25 04:04:21] d2.evaluation.evaluator INFO: Inference done 2438/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:01:56 [10/25 04:04:26] d2.evaluation.evaluator INFO: Inference done 2556/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:01:51 [10/25 04:04:31] d2.evaluation.evaluator INFO: Inference done 2667/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:01:47 [10/25 04:04:36] d2.evaluation.evaluator INFO: Inference done 2789/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:01:42 [10/25 04:04:41] d2.evaluation.evaluator INFO: Inference done 2906/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:01:37 [10/25 04:04:46] d2.evaluation.evaluator INFO: Inference done 3027/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:01:32 [10/25 04:04:51] d2.evaluation.evaluator INFO: Inference done 3148/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:01:27 [10/25 04:04:56] d2.evaluation.evaluator INFO: Inference done 3274/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:01:22 [10/25 04:05:01] d2.evaluation.evaluator INFO: Inference done 3395/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:01:17 [10/25 04:05:06] d2.evaluation.evaluator INFO: Inference done 3511/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:01:12 [10/25 04:05:11] d2.evaluation.evaluator INFO: Inference done 3628/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:01:07 [10/25 04:05:16] d2.evaluation.evaluator INFO: Inference done 3746/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:01:02 [10/25 04:05:21] d2.evaluation.evaluator INFO: Inference done 3866/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:00:57 [10/25 04:05:26] d2.evaluation.evaluator INFO: Inference done 3979/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:00:53 [10/25 04:05:31] d2.evaluation.evaluator INFO: Inference done 4096/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:00:48 [10/25 04:05:36] d2.evaluation.evaluator INFO: Inference done 4224/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:00:43 [10/25 04:05:41] d2.evaluation.evaluator INFO: Inference done 4346/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:00:38 [10/25 04:05:46] d2.evaluation.evaluator INFO: Inference done 4466/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:00:33 [10/25 04:05:51] d2.evaluation.evaluator INFO: Inference done 4580/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:00:28 [10/25 04:05:56] d2.evaluation.evaluator INFO: Inference done 4706/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:00:23 [10/25 04:06:01] d2.evaluation.evaluator INFO: Inference done 4831/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:00:17 [10/25 04:06:06] d2.evaluation.evaluator INFO: Inference done 4944/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:00:13 [10/25 04:06:11] d2.evaluation.evaluator INFO: Inference done 5048/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:00:08 [10/25 04:06:16] d2.evaluation.evaluator INFO: Inference done 5166/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:00:03 [10/25 04:06:20] d2.evaluation.evaluator INFO: Total inference time: 0:03:40.107123 (0.041901 s / iter per device, on 1 devices) [10/25 04:06:20] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:32 (0.040422 s / iter per device, on 1 devices) [10/25 04:06:20] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 04:07:21] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 04:07:21] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 04:07:21] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 04:07:21] d2.evaluation.testing INFO: copypaste: 6.1263,12.7748,5.5486 [10/25 04:07:23] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 04:07:23] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 04:07:23] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 04:07:23] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 04:07:24] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0011 s/iter. Inference: 0.0496 s/iter. Eval: 0.0006 s/iter. Total: 0.0513 s/iter. ETA=0:04:29 [10/25 04:07:29] d2.evaluation.evaluator INFO: Inference done 112/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:04:16 [10/25 04:07:34] d2.evaluation.evaluator INFO: Inference done 212/5258. Dataloading: 0.0010 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:04:12 [10/25 04:07:39] d2.evaluation.evaluator INFO: Inference done 313/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:04:06 [10/25 04:07:44] d2.evaluation.evaluator INFO: Inference done 417/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:59 [10/25 04:07:49] d2.evaluation.evaluator INFO: Inference done 517/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:55 [10/25 04:07:54] d2.evaluation.evaluator INFO: Inference done 620/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:49 [10/25 04:07:59] d2.evaluation.evaluator INFO: Inference done 722/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:44 [10/25 04:08:04] d2.evaluation.evaluator INFO: Inference done 824/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:39 [10/25 04:08:09] d2.evaluation.evaluator INFO: Inference done 927/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:33 [10/25 04:08:14] d2.evaluation.evaluator INFO: Inference done 1028/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:29 [10/25 04:08:19] d2.evaluation.evaluator INFO: Inference done 1128/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:24 [10/25 04:08:24] d2.evaluation.evaluator INFO: Inference done 1228/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:19 [10/25 04:08:29] d2.evaluation.evaluator INFO: Inference done 1327/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:15 [10/25 04:08:34] d2.evaluation.evaluator INFO: Inference done 1428/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:10 [10/25 04:08:39] d2.evaluation.evaluator INFO: Inference done 1529/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:05 [10/25 04:08:44] d2.evaluation.evaluator INFO: Inference done 1630/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:00 [10/25 04:08:49] d2.evaluation.evaluator INFO: Inference done 1731/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:02:55 [10/25 04:08:54] d2.evaluation.evaluator INFO: Inference done 1834/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:02:49 [10/25 04:08:59] d2.evaluation.evaluator INFO: Inference done 1937/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:02:44 [10/25 04:09:04] d2.evaluation.evaluator INFO: Inference done 2040/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:39 [10/25 04:09:09] d2.evaluation.evaluator INFO: Inference done 2141/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:34 [10/25 04:09:14] d2.evaluation.evaluator INFO: Inference done 2244/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:29 [10/25 04:09:19] d2.evaluation.evaluator INFO: Inference done 2348/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:23 [10/25 04:09:24] d2.evaluation.evaluator INFO: Inference done 2451/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:18 [10/25 04:09:29] d2.evaluation.evaluator INFO: Inference done 2551/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:13 [10/25 04:09:34] d2.evaluation.evaluator INFO: Inference done 2652/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:08 [10/25 04:09:40] d2.evaluation.evaluator INFO: Inference done 2752/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:04 [10/25 04:09:45] d2.evaluation.evaluator INFO: Inference done 2854/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:59 [10/25 04:09:50] d2.evaluation.evaluator INFO: Inference done 2956/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:53 [10/25 04:09:55] d2.evaluation.evaluator INFO: Inference done 3056/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:49 [10/25 04:10:00] d2.evaluation.evaluator INFO: Inference done 3158/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:43 [10/25 04:10:05] d2.evaluation.evaluator INFO: Inference done 3260/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:38 [10/25 04:10:10] d2.evaluation.evaluator INFO: Inference done 3363/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:33 [10/25 04:10:15] d2.evaluation.evaluator INFO: Inference done 3464/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:28 [10/25 04:10:20] d2.evaluation.evaluator INFO: Inference done 3566/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:23 [10/25 04:10:25] d2.evaluation.evaluator INFO: Inference done 3668/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:18 [10/25 04:10:30] d2.evaluation.evaluator INFO: Inference done 3768/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:13 [10/25 04:10:35] d2.evaluation.evaluator INFO: Inference done 3869/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:08 [10/25 04:10:40] d2.evaluation.evaluator INFO: Inference done 3972/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:03 [10/25 04:10:45] d2.evaluation.evaluator INFO: Inference done 4075/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:58 [10/25 04:10:50] d2.evaluation.evaluator INFO: Inference done 4177/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:53 [10/25 04:10:55] d2.evaluation.evaluator INFO: Inference done 4278/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:48 [10/25 04:11:00] d2.evaluation.evaluator INFO: Inference done 4381/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:43 [10/25 04:11:05] d2.evaluation.evaluator INFO: Inference done 4482/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:38 [10/25 04:11:10] d2.evaluation.evaluator INFO: Inference done 4583/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:33 [10/25 04:11:15] d2.evaluation.evaluator INFO: Inference done 4684/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:28 [10/25 04:11:20] d2.evaluation.evaluator INFO: Inference done 4783/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:23 [10/25 04:11:25] d2.evaluation.evaluator INFO: Inference done 4880/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:18 [10/25 04:11:30] d2.evaluation.evaluator INFO: Inference done 4981/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:13 [10/25 04:11:35] d2.evaluation.evaluator INFO: Inference done 5082/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:08 [10/25 04:11:40] d2.evaluation.evaluator INFO: Inference done 5185/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:03 [10/25 04:11:44] d2.evaluation.evaluator INFO: Total inference time: 0:04:20.147250 (0.049524 s / iter per device, on 1 devices) [10/25 04:11:44] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:12 (0.047996 s / iter per device, on 1 devices) [10/25 04:11:44] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 04:12:46] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 04:12:46] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 04:12:46] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 04:12:46] d2.evaluation.testing INFO: copypaste: 6.3134,13.2476,5.6803 [10/25 04:12:46] d2.utils.events INFO: eta: 1 day, 11:30:15 iter: 9199 total_loss: 1.903 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04361 loss_box_reg_sup: 0.4084 loss_rpn_cls_sup: 0.04076 loss_rpn_loc_sup: 0.3259 loss_cls_unsup: 0.2888 loss_box_reg_unsup: 0.2848 loss_rpn_cls_unsup: 0.3165 loss_rpn_loc_unsup: 0.2356 time: 5.4457 data_time: 0.7953 lr: 0.016 max_mem: 18367M [10/25 04:14:52] d2.utils.events INFO: eta: 1 day, 11:28:26 iter: 9219 total_loss: 1.936 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04515 loss_box_reg_sup: 0.3832 loss_rpn_cls_sup: 0.0402 loss_rpn_loc_sup: 0.3289 loss_cls_unsup: 0.2888 loss_box_reg_unsup: 0.2738 loss_rpn_cls_unsup: 0.3162 loss_rpn_loc_unsup: 0.243 time: 5.4475 data_time: 0.8065 lr: 0.016 max_mem: 18367M [10/25 04:17:02] d2.utils.events INFO: eta: 1 day, 11:26:16 iter: 9239 total_loss: 1.956 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04777 loss_box_reg_sup: 0.4169 loss_rpn_cls_sup: 0.04037 loss_rpn_loc_sup: 0.3217 loss_cls_unsup: 0.3029 loss_box_reg_unsup: 0.2703 loss_rpn_cls_unsup: 0.3362 loss_rpn_loc_unsup: 0.2384 time: 5.4498 data_time: 0.8530 lr: 0.016 max_mem: 18367M [10/25 04:19:06] d2.utils.events INFO: eta: 1 day, 11:23:47 iter: 9259 total_loss: 2 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04909 loss_box_reg_sup: 0.3984 loss_rpn_cls_sup: 0.04315 loss_rpn_loc_sup: 0.3339 loss_cls_unsup: 0.2886 loss_box_reg_unsup: 0.2832 loss_rpn_cls_unsup: 0.3371 loss_rpn_loc_unsup: 0.2607 time: 5.4514 data_time: 0.8305 lr: 0.016 max_mem: 18367M [10/25 04:21:14] d2.utils.events INFO: eta: 1 day, 11:21:28 iter: 9279 total_loss: 1.873 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04062 loss_box_reg_sup: 0.3568 loss_rpn_cls_sup: 0.03651 loss_rpn_loc_sup: 0.3322 loss_cls_unsup: 0.2918 loss_box_reg_unsup: 0.2765 loss_rpn_cls_unsup: 0.3107 loss_rpn_loc_unsup: 0.2377 time: 5.4534 data_time: 0.8198 lr: 0.016 max_mem: 18367M [10/25 04:23:22] d2.utils.events INFO: eta: 1 day, 11:18:48 iter: 9299 total_loss: 1.959 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0451 loss_box_reg_sup: 0.3619 loss_rpn_cls_sup: 0.03706 loss_rpn_loc_sup: 0.3076 loss_cls_unsup: 0.2858 loss_box_reg_unsup: 0.2996 loss_rpn_cls_unsup: 0.3274 loss_rpn_loc_unsup: 0.261 time: 5.4555 data_time: 0.8037 lr: 0.016 max_mem: 18367M [10/25 04:25:31] d2.utils.events INFO: eta: 1 day, 11:16:45 iter: 9319 total_loss: 1.932 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04384 loss_box_reg_sup: 0.3921 loss_rpn_cls_sup: 0.03705 loss_rpn_loc_sup: 0.2958 loss_cls_unsup: 0.3046 loss_box_reg_unsup: 0.3032 loss_rpn_cls_unsup: 0.3245 loss_rpn_loc_unsup: 0.1951 time: 5.4576 data_time: 0.8071 lr: 0.016 max_mem: 18367M [10/25 04:27:37] d2.utils.events INFO: eta: 1 day, 11:13:51 iter: 9339 total_loss: 1.83 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03618 loss_box_reg_sup: 0.3439 loss_rpn_cls_sup: 0.03552 loss_rpn_loc_sup: 0.2937 loss_cls_unsup: 0.2971 loss_box_reg_unsup: 0.2888 loss_rpn_cls_unsup: 0.3092 loss_rpn_loc_unsup: 0.2324 time: 5.4594 data_time: 0.8410 lr: 0.016 max_mem: 18367M [10/25 04:29:43] d2.utils.events INFO: eta: 1 day, 11:11:04 iter: 9359 total_loss: 1.951 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04399 loss_box_reg_sup: 0.3815 loss_rpn_cls_sup: 0.03432 loss_rpn_loc_sup: 0.3186 loss_cls_unsup: 0.2979 loss_box_reg_unsup: 0.2903 loss_rpn_cls_unsup: 0.3308 loss_rpn_loc_unsup: 0.2472 time: 5.4613 data_time: 0.8261 lr: 0.016 max_mem: 18367M [10/25 04:31:45] d2.utils.events INFO: eta: 1 day, 11:08:53 iter: 9379 total_loss: 1.907 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04775 loss_box_reg_sup: 0.3882 loss_rpn_cls_sup: 0.03865 loss_rpn_loc_sup: 0.3301 loss_cls_unsup: 0.3151 loss_box_reg_unsup: 0.2895 loss_rpn_cls_unsup: 0.3215 loss_rpn_loc_unsup: 0.213 time: 5.4626 data_time: 0.8007 lr: 0.016 max_mem: 18367M [10/25 04:33:52] d2.utils.events INFO: eta: 1 day, 11:06:40 iter: 9399 total_loss: 1.889 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03934 loss_box_reg_sup: 0.3517 loss_rpn_cls_sup: 0.03617 loss_rpn_loc_sup: 0.3003 loss_cls_unsup: 0.2802 loss_box_reg_unsup: 0.2825 loss_rpn_cls_unsup: 0.3198 loss_rpn_loc_unsup: 0.2229 time: 5.4644 data_time: 0.8162 lr: 0.016 max_mem: 18367M [10/25 04:35:55] d2.utils.events INFO: eta: 1 day, 11:04:00 iter: 9419 total_loss: 1.987 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0462 loss_box_reg_sup: 0.4005 loss_rpn_cls_sup: 0.04117 loss_rpn_loc_sup: 0.3356 loss_cls_unsup: 0.3062 loss_box_reg_unsup: 0.2853 loss_rpn_cls_unsup: 0.3232 loss_rpn_loc_unsup: 0.2467 time: 5.4659 data_time: 0.7896 lr: 0.016 max_mem: 18367M [10/25 04:38:00] d2.utils.events INFO: eta: 1 day, 11:01:13 iter: 9439 total_loss: 1.893 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03978 loss_box_reg_sup: 0.3322 loss_rpn_cls_sup: 0.03835 loss_rpn_loc_sup: 0.2974 loss_cls_unsup: 0.2984 loss_box_reg_unsup: 0.2914 loss_rpn_cls_unsup: 0.3422 loss_rpn_loc_unsup: 0.2545 time: 5.4676 data_time: 0.8353 lr: 0.016 max_mem: 18367M [10/25 04:40:03] d2.utils.events INFO: eta: 1 day, 10:58:31 iter: 9459 total_loss: 1.926 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04121 loss_box_reg_sup: 0.3571 loss_rpn_cls_sup: 0.03831 loss_rpn_loc_sup: 0.3165 loss_cls_unsup: 0.3146 loss_box_reg_unsup: 0.2844 loss_rpn_cls_unsup: 0.3202 loss_rpn_loc_unsup: 0.2403 time: 5.4690 data_time: 0.8444 lr: 0.016 max_mem: 18367M [10/25 04:42:08] d2.utils.events INFO: eta: 1 day, 10:55:54 iter: 9479 total_loss: 1.971 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04614 loss_box_reg_sup: 0.4065 loss_rpn_cls_sup: 0.03539 loss_rpn_loc_sup: 0.323 loss_cls_unsup: 0.2964 loss_box_reg_unsup: 0.2944 loss_rpn_cls_unsup: 0.3078 loss_rpn_loc_unsup: 0.2428 time: 5.4706 data_time: 0.8280 lr: 0.016 max_mem: 18367M [10/25 04:44:10] d2.utils.events INFO: eta: 1 day, 10:53:05 iter: 9499 total_loss: 1.995 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04287 loss_box_reg_sup: 0.3973 loss_rpn_cls_sup: 0.03673 loss_rpn_loc_sup: 0.3164 loss_cls_unsup: 0.2843 loss_box_reg_unsup: 0.2862 loss_rpn_cls_unsup: 0.3093 loss_rpn_loc_unsup: 0.2597 time: 5.4720 data_time: 0.8350 lr: 0.016 max_mem: 18367M [10/25 04:46:13] d2.utils.events INFO: eta: 1 day, 10:50:35 iter: 9519 total_loss: 1.915 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04608 loss_box_reg_sup: 0.3993 loss_rpn_cls_sup: 0.04107 loss_rpn_loc_sup: 0.3433 loss_cls_unsup: 0.2971 loss_box_reg_unsup: 0.2856 loss_rpn_cls_unsup: 0.3015 loss_rpn_loc_unsup: 0.2155 time: 5.4734 data_time: 0.8417 lr: 0.016 max_mem: 18367M [10/25 04:48:17] d2.utils.events INFO: eta: 1 day, 10:48:33 iter: 9539 total_loss: 1.909 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0385 loss_box_reg_sup: 0.3398 loss_rpn_cls_sup: 0.03312 loss_rpn_loc_sup: 0.3051 loss_cls_unsup: 0.2936 loss_box_reg_unsup: 0.2964 loss_rpn_cls_unsup: 0.3193 loss_rpn_loc_unsup: 0.2508 time: 5.4749 data_time: 0.8161 lr: 0.016 max_mem: 18367M [10/25 04:50:26] d2.utils.events INFO: eta: 1 day, 10:47:04 iter: 9559 total_loss: 1.945 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04459 loss_box_reg_sup: 0.3973 loss_rpn_cls_sup: 0.03774 loss_rpn_loc_sup: 0.3191 loss_cls_unsup: 0.2754 loss_box_reg_unsup: 0.2902 loss_rpn_cls_unsup: 0.3061 loss_rpn_loc_unsup: 0.2465 time: 5.4770 data_time: 0.8345 lr: 0.016 max_mem: 18367M [10/25 04:52:30] d2.utils.events INFO: eta: 1 day, 10:45:46 iter: 9579 total_loss: 1.906 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04189 loss_box_reg_sup: 0.381 loss_rpn_cls_sup: 0.03596 loss_rpn_loc_sup: 0.2993 loss_cls_unsup: 0.2879 loss_box_reg_unsup: 0.2877 loss_rpn_cls_unsup: 0.3248 loss_rpn_loc_unsup: 0.2333 time: 5.4785 data_time: 0.8309 lr: 0.016 max_mem: 18367M [10/25 04:54:39] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 04:54:40] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 04:54:40] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 04:54:40] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 04:54:41] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0011 s/iter. Inference: 0.0494 s/iter. Eval: 0.0005 s/iter. Total: 0.0510 s/iter. ETA=0:04:27 [10/25 04:54:46] d2.evaluation.evaluator INFO: Inference done 140/5258. Dataloading: 0.0010 s/iter. Inference: 0.0380 s/iter. Eval: 0.0004 s/iter. Total: 0.0394 s/iter. ETA=0:03:21 [10/25 04:54:51] d2.evaluation.evaluator INFO: Inference done 259/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:03:24 [10/25 04:54:56] d2.evaluation.evaluator INFO: Inference done 374/5258. Dataloading: 0.0010 s/iter. 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ETA=0:00:20 [10/25 04:58:06] d2.evaluation.evaluator INFO: Inference done 4893/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:00:15 [10/25 04:58:11] d2.evaluation.evaluator INFO: Inference done 5017/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0421 s/iter. ETA=0:00:10 [10/25 04:58:16] d2.evaluation.evaluator INFO: Inference done 5141/5258. Dataloading: 0.0010 s/iter. Inference: 0.0406 s/iter. Eval: 0.0004 s/iter. Total: 0.0421 s/iter. ETA=0:00:04 [10/25 04:58:21] d2.evaluation.evaluator INFO: Inference done 5246/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:00:00 [10/25 04:58:22] d2.evaluation.evaluator INFO: Total inference time: 0:03:41.659710 (0.042197 s / iter per device, on 1 devices) [10/25 04:58:22] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:33 (0.040723 s / iter per device, on 1 devices) [10/25 04:58:22] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 04:59:25] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 04:59:25] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 04:59:25] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 04:59:25] d2.evaluation.testing INFO: copypaste: 5.7229,12.2564,5.0617 [10/25 04:59:26] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 04:59:27] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 04:59:27] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 04:59:27] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 04:59:28] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0452 s/iter. Eval: 0.0006 s/iter. Total: 0.0466 s/iter. ETA=0:04:04 [10/25 04:59:33] d2.evaluation.evaluator INFO: Inference done 112/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:04:16 [10/25 04:59:38] d2.evaluation.evaluator INFO: Inference done 214/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:04:10 [10/25 04:59:43] d2.evaluation.evaluator INFO: Inference done 318/5258. Dataloading: 0.0010 s/iter. 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ETA=0:00:59 [10/25 05:02:54] d2.evaluation.evaluator INFO: Inference done 4156/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:54 [10/25 05:02:59] d2.evaluation.evaluator INFO: Inference done 4257/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:49 [10/25 05:03:04] d2.evaluation.evaluator INFO: Inference done 4359/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:44 [10/25 05:03:09] d2.evaluation.evaluator INFO: Inference done 4463/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:39 [10/25 05:03:14] d2.evaluation.evaluator INFO: Inference done 4561/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:34 [10/25 05:03:19] d2.evaluation.evaluator INFO: Inference done 4661/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:29 [10/25 05:03:24] d2.evaluation.evaluator INFO: Inference done 4761/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:24 [10/25 05:03:29] d2.evaluation.evaluator INFO: Inference done 4864/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:19 [10/25 05:03:34] d2.evaluation.evaluator INFO: Inference done 4966/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:14 [10/25 05:03:39] d2.evaluation.evaluator INFO: Inference done 5069/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:09 [10/25 05:03:44] d2.evaluation.evaluator INFO: Inference done 5170/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:04 [10/25 05:03:48] d2.evaluation.evaluator INFO: Total inference time: 0:04:20.853881 (0.049658 s / iter per device, on 1 devices) [10/25 05:03:48] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:12 (0.048095 s / iter per device, on 1 devices) [10/25 05:03:48] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 05:04:51] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 05:04:51] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 05:04:51] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 05:04:51] d2.evaluation.testing INFO: copypaste: 6.3546,13.3269,5.7408 [10/25 05:04:51] d2.utils.events INFO: eta: 1 day, 10:44:05 iter: 9599 total_loss: 1.962 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04153 loss_box_reg_sup: 0.3485 loss_rpn_cls_sup: 0.04009 loss_rpn_loc_sup: 0.3157 loss_cls_unsup: 0.2902 loss_box_reg_unsup: 0.2939 loss_rpn_cls_unsup: 0.317 loss_rpn_loc_unsup: 0.2574 time: 5.4799 data_time: 0.8434 lr: 0.016 max_mem: 18367M [10/25 05:07:00] d2.utils.events INFO: eta: 1 day, 10:42:27 iter: 9619 total_loss: 1.951 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04608 loss_box_reg_sup: 0.3822 loss_rpn_cls_sup: 0.0368 loss_rpn_loc_sup: 0.3181 loss_cls_unsup: 0.2891 loss_box_reg_unsup: 0.3067 loss_rpn_cls_unsup: 0.3001 loss_rpn_loc_unsup: 0.2123 time: 5.4819 data_time: 0.8446 lr: 0.016 max_mem: 18367M [10/25 05:09:07] d2.utils.events INFO: eta: 1 day, 10:39:44 iter: 9639 total_loss: 1.931 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04178 loss_box_reg_sup: 0.3721 loss_rpn_cls_sup: 0.03839 loss_rpn_loc_sup: 0.3137 loss_cls_unsup: 0.2912 loss_box_reg_unsup: 0.29 loss_rpn_cls_unsup: 0.3323 loss_rpn_loc_unsup: 0.2363 time: 5.4838 data_time: 0.8092 lr: 0.016 max_mem: 18367M [10/25 05:11:12] d2.utils.events INFO: eta: 1 day, 10:38:28 iter: 9659 total_loss: 1.973 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04437 loss_box_reg_sup: 0.3813 loss_rpn_cls_sup: 0.03657 loss_rpn_loc_sup: 0.318 loss_cls_unsup: 0.2948 loss_box_reg_unsup: 0.3031 loss_rpn_cls_unsup: 0.3208 loss_rpn_loc_unsup: 0.2517 time: 5.4853 data_time: 0.8387 lr: 0.016 max_mem: 18367M [10/25 05:13:13] d2.utils.events INFO: eta: 1 day, 10:35:39 iter: 9679 total_loss: 1.92 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04425 loss_box_reg_sup: 0.3737 loss_rpn_cls_sup: 0.03816 loss_rpn_loc_sup: 0.3185 loss_cls_unsup: 0.2977 loss_box_reg_unsup: 0.292 loss_rpn_cls_unsup: 0.3152 loss_rpn_loc_unsup: 0.2157 time: 5.4866 data_time: 0.8137 lr: 0.016 max_mem: 18367M [10/25 05:15:17] d2.utils.events INFO: eta: 1 day, 10:33:26 iter: 9699 total_loss: 1.917 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04087 loss_box_reg_sup: 0.3404 loss_rpn_cls_sup: 0.0389 loss_rpn_loc_sup: 0.3083 loss_cls_unsup: 0.3107 loss_box_reg_unsup: 0.2976 loss_rpn_cls_unsup: 0.3061 loss_rpn_loc_unsup: 0.2304 time: 5.4880 data_time: 0.8401 lr: 0.016 max_mem: 18367M [10/25 05:17:21] d2.utils.events INFO: eta: 1 day, 10:31:49 iter: 9719 total_loss: 1.889 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04182 loss_box_reg_sup: 0.3581 loss_rpn_cls_sup: 0.03568 loss_rpn_loc_sup: 0.3049 loss_cls_unsup: 0.306 loss_box_reg_unsup: 0.3064 loss_rpn_cls_unsup: 0.2912 loss_rpn_loc_unsup: 0.2201 time: 5.4894 data_time: 0.8291 lr: 0.016 max_mem: 18367M [10/25 05:19:26] d2.utils.events INFO: eta: 1 day, 10:29:31 iter: 9739 total_loss: 1.809 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0402 loss_box_reg_sup: 0.3391 loss_rpn_cls_sup: 0.03446 loss_rpn_loc_sup: 0.317 loss_cls_unsup: 0.2804 loss_box_reg_unsup: 0.2798 loss_rpn_cls_unsup: 0.3177 loss_rpn_loc_unsup: 0.2324 time: 5.4910 data_time: 0.8084 lr: 0.016 max_mem: 18367M [10/25 05:21:37] d2.utils.events INFO: eta: 1 day, 10:28:34 iter: 9759 total_loss: 1.928 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0418 loss_box_reg_sup: 0.3839 loss_rpn_cls_sup: 0.03689 loss_rpn_loc_sup: 0.308 loss_cls_unsup: 0.287 loss_box_reg_unsup: 0.2883 loss_rpn_cls_unsup: 0.3042 loss_rpn_loc_unsup: 0.231 time: 5.4931 data_time: 0.8539 lr: 0.016 max_mem: 18367M [10/25 05:23:45] d2.utils.events INFO: eta: 1 day, 10:26:44 iter: 9779 total_loss: 1.895 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04487 loss_box_reg_sup: 0.3442 loss_rpn_cls_sup: 0.03852 loss_rpn_loc_sup: 0.3054 loss_cls_unsup: 0.301 loss_box_reg_unsup: 0.2986 loss_rpn_cls_unsup: 0.3177 loss_rpn_loc_unsup: 0.2087 time: 5.4950 data_time: 0.9027 lr: 0.016 max_mem: 18367M [10/25 05:25:50] d2.utils.events INFO: eta: 1 day, 10:25:09 iter: 9799 total_loss: 1.904 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03879 loss_box_reg_sup: 0.3295 loss_rpn_cls_sup: 0.05174 loss_rpn_loc_sup: 0.3259 loss_cls_unsup: 0.2981 loss_box_reg_unsup: 0.2999 loss_rpn_cls_unsup: 0.3248 loss_rpn_loc_unsup: 0.2555 time: 5.4966 data_time: 0.8462 lr: 0.016 max_mem: 18367M [10/25 05:27:56] d2.utils.events INFO: eta: 1 day, 10:24:01 iter: 9819 total_loss: 1.962 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03871 loss_box_reg_sup: 0.3373 loss_rpn_cls_sup: 0.0441 loss_rpn_loc_sup: 0.3399 loss_cls_unsup: 0.2963 loss_box_reg_unsup: 0.3033 loss_rpn_cls_unsup: 0.3337 loss_rpn_loc_unsup: 0.2558 time: 5.4982 data_time: 0.8404 lr: 0.016 max_mem: 18367M [10/25 05:30:02] d2.utils.events INFO: eta: 1 day, 10:23:10 iter: 9839 total_loss: 2.006 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04505 loss_box_reg_sup: 0.4028 loss_rpn_cls_sup: 0.04755 loss_rpn_loc_sup: 0.3347 loss_cls_unsup: 0.3088 loss_box_reg_unsup: 0.3076 loss_rpn_cls_unsup: 0.3241 loss_rpn_loc_unsup: 0.2314 time: 5.4998 data_time: 0.8286 lr: 0.016 max_mem: 18367M [10/25 05:32:06] d2.utils.events INFO: eta: 1 day, 10:21:25 iter: 9859 total_loss: 1.919 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04467 loss_box_reg_sup: 0.3598 loss_rpn_cls_sup: 0.04348 loss_rpn_loc_sup: 0.321 loss_cls_unsup: 0.3003 loss_box_reg_unsup: 0.3158 loss_rpn_cls_unsup: 0.3135 loss_rpn_loc_unsup: 0.2362 time: 5.5013 data_time: 0.8389 lr: 0.016 max_mem: 18367M [10/25 05:34:13] d2.utils.events INFO: eta: 1 day, 10:20:06 iter: 9879 total_loss: 1.946 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04218 loss_box_reg_sup: 0.3687 loss_rpn_cls_sup: 0.04058 loss_rpn_loc_sup: 0.3273 loss_cls_unsup: 0.3048 loss_box_reg_unsup: 0.2984 loss_rpn_cls_unsup: 0.3331 loss_rpn_loc_unsup: 0.2469 time: 5.5029 data_time: 0.8126 lr: 0.016 max_mem: 18367M [10/25 05:36:25] d2.utils.events INFO: eta: 1 day, 10:18:49 iter: 9899 total_loss: 1.917 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0422 loss_box_reg_sup: 0.3571 loss_rpn_cls_sup: 0.03915 loss_rpn_loc_sup: 0.2928 loss_cls_unsup: 0.2943 loss_box_reg_unsup: 0.2934 loss_rpn_cls_unsup: 0.3324 loss_rpn_loc_unsup: 0.279 time: 5.5052 data_time: 0.8761 lr: 0.016 max_mem: 18367M [10/25 05:38:31] d2.utils.events INFO: eta: 1 day, 10:16:50 iter: 9919 total_loss: 1.881 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04461 loss_box_reg_sup: 0.3616 loss_rpn_cls_sup: 0.0391 loss_rpn_loc_sup: 0.3059 loss_cls_unsup: 0.2879 loss_box_reg_unsup: 0.3057 loss_rpn_cls_unsup: 0.3059 loss_rpn_loc_unsup: 0.2186 time: 5.5068 data_time: 0.8302 lr: 0.016 max_mem: 18367M [10/25 05:40:35] d2.utils.events INFO: eta: 1 day, 10:15:06 iter: 9939 total_loss: 1.921 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04517 loss_box_reg_sup: 0.4005 loss_rpn_cls_sup: 0.03817 loss_rpn_loc_sup: 0.3473 loss_cls_unsup: 0.2908 loss_box_reg_unsup: 0.2982 loss_rpn_cls_unsup: 0.3065 loss_rpn_loc_unsup: 0.2597 time: 5.5082 data_time: 0.8587 lr: 0.016 max_mem: 18367M [10/25 05:42:40] d2.utils.events INFO: eta: 1 day, 10:14:16 iter: 9959 total_loss: 1.997 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03895 loss_box_reg_sup: 0.3478 loss_rpn_cls_sup: 0.03984 loss_rpn_loc_sup: 0.3205 loss_cls_unsup: 0.2907 loss_box_reg_unsup: 0.3008 loss_rpn_cls_unsup: 0.3397 loss_rpn_loc_unsup: 0.2752 time: 5.5097 data_time: 0.8342 lr: 0.016 max_mem: 18367M [10/25 05:44:44] d2.utils.events INFO: eta: 1 day, 10:13:06 iter: 9979 total_loss: 1.856 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03801 loss_box_reg_sup: 0.3476 loss_rpn_cls_sup: 0.03937 loss_rpn_loc_sup: 0.3072 loss_cls_unsup: 0.2964 loss_box_reg_unsup: 0.2975 loss_rpn_cls_unsup: 0.3127 loss_rpn_loc_unsup: 0.2285 time: 5.5111 data_time: 0.8294 lr: 0.016 max_mem: 18367M [10/25 05:46:55] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 05:46:55] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 05:46:55] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 05:46:55] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 05:46:57] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0382 s/iter. Eval: 0.0006 s/iter. Total: 0.0397 s/iter. ETA=0:03:28 [10/25 05:47:02] d2.evaluation.evaluator INFO: Inference done 134/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0006 s/iter. Total: 0.0408 s/iter. ETA=0:03:29 [10/25 05:47:07] d2.evaluation.evaluator INFO: Inference done 254/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0006 s/iter. Total: 0.0413 s/iter. ETA=0:03:26 [10/25 05:47:12] d2.evaluation.evaluator INFO: Inference done 370/5258. Dataloading: 0.0010 s/iter. 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ETA=0:02:58 [10/25 05:47:42] d2.evaluation.evaluator INFO: Inference done 1097/5258. Dataloading: 0.0009 s/iter. Inference: 0.0400 s/iter. Eval: 0.0006 s/iter. Total: 0.0416 s/iter. ETA=0:02:52 [10/25 05:47:47] d2.evaluation.evaluator INFO: Inference done 1218/5258. Dataloading: 0.0009 s/iter. Inference: 0.0400 s/iter. Eval: 0.0006 s/iter. Total: 0.0416 s/iter. ETA=0:02:47 [10/25 05:47:52] d2.evaluation.evaluator INFO: Inference done 1346/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0006 s/iter. Total: 0.0413 s/iter. ETA=0:02:41 [10/25 05:47:57] d2.evaluation.evaluator INFO: Inference done 1465/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0006 s/iter. Total: 0.0414 s/iter. ETA=0:02:37 [10/25 05:48:02] d2.evaluation.evaluator INFO: Inference done 1578/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0006 s/iter. Total: 0.0416 s/iter. ETA=0:02:33 [10/25 05:48:07] d2.evaluation.evaluator INFO: Inference done 1700/5258. 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ETA=0:00:17 [10/25 05:50:23] d2.evaluation.evaluator INFO: Inference done 4954/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0006 s/iter. Total: 0.0416 s/iter. ETA=0:00:12 [10/25 05:50:28] d2.evaluation.evaluator INFO: Inference done 5083/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0006 s/iter. Total: 0.0416 s/iter. ETA=0:00:07 [10/25 05:50:33] d2.evaluation.evaluator INFO: Inference done 5197/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0006 s/iter. Total: 0.0416 s/iter. ETA=0:00:02 [10/25 05:50:35] d2.evaluation.evaluator INFO: Total inference time: 0:03:38.649039 (0.041624 s / iter per device, on 1 devices) [10/25 05:50:35] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:30 (0.040026 s / iter per device, on 1 devices) [10/25 05:50:35] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 05:52:10] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 05:52:10] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 05:52:10] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 05:52:10] d2.evaluation.testing INFO: copypaste: 5.9893,13.0168,5.2067 [10/25 05:52:12] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 05:52:12] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 05:52:12] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 05:52:12] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 05:52:13] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0467 s/iter. Eval: 0.0005 s/iter. Total: 0.0481 s/iter. ETA=0:04:12 [10/25 05:52:18] d2.evaluation.evaluator INFO: Inference done 112/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:04:15 [10/25 05:52:23] d2.evaluation.evaluator INFO: Inference done 214/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:04:09 [10/25 05:52:28] d2.evaluation.evaluator INFO: Inference done 315/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:04:04 [10/25 05:52:33] d2.evaluation.evaluator INFO: Inference done 418/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:03:58 [10/25 05:52:38] d2.evaluation.evaluator INFO: Inference done 518/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:54 [10/25 05:52:43] d2.evaluation.evaluator INFO: Inference done 617/5258. 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ETA=0:00:19 [10/25 05:56:19] d2.evaluation.evaluator INFO: Inference done 4958/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:00:14 [10/25 05:56:24] d2.evaluation.evaluator INFO: Inference done 5061/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:09 [10/25 05:56:29] d2.evaluation.evaluator INFO: Inference done 5163/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:04 [10/25 05:56:34] d2.evaluation.evaluator INFO: Total inference time: 0:04:21.153403 (0.049715 s / iter per device, on 1 devices) [10/25 05:56:34] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:13 (0.048179 s / iter per device, on 1 devices) [10/25 05:56:34] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 05:57:36] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 05:57:36] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 05:57:36] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 05:57:36] d2.evaluation.testing INFO: copypaste: 6.3853,13.4987,5.8170 [10/25 05:57:36] d2.utils.events INFO: eta: 1 day, 10:12:02 iter: 9999 total_loss: 1.929 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04074 loss_box_reg_sup: 0.3551 loss_rpn_cls_sup: 0.04055 loss_rpn_loc_sup: 0.3273 loss_cls_unsup: 0.2984 loss_box_reg_unsup: 0.3049 loss_rpn_cls_unsup: 0.3225 loss_rpn_loc_unsup: 0.2396 time: 5.5125 data_time: 0.8452 lr: 0.016 max_mem: 18367M [10/25 05:59:44] d2.utils.events INFO: eta: 1 day, 10:11:31 iter: 10019 total_loss: 1.996 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04336 loss_box_reg_sup: 0.3609 loss_rpn_cls_sup: 0.03937 loss_rpn_loc_sup: 0.3205 loss_cls_unsup: 0.2943 loss_box_reg_unsup: 0.3212 loss_rpn_cls_unsup: 0.3239 loss_rpn_loc_unsup: 0.2768 time: 5.5142 data_time: 0.8235 lr: 0.016 max_mem: 18367M [10/25 06:01:53] d2.utils.events INFO: eta: 1 day, 10:10:40 iter: 10039 total_loss: 1.916 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04038 loss_box_reg_sup: 0.3529 loss_rpn_cls_sup: 0.03915 loss_rpn_loc_sup: 0.3042 loss_cls_unsup: 0.2883 loss_box_reg_unsup: 0.325 loss_rpn_cls_unsup: 0.3171 loss_rpn_loc_unsup: 0.2543 time: 5.5161 data_time: 0.8170 lr: 0.016 max_mem: 18367M [10/25 06:04:00] d2.utils.events INFO: eta: 1 day, 10:09:05 iter: 10059 total_loss: 1.957 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.05002 loss_box_reg_sup: 0.4046 loss_rpn_cls_sup: 0.0433 loss_rpn_loc_sup: 0.3461 loss_cls_unsup: 0.2906 loss_box_reg_unsup: 0.2987 loss_rpn_cls_unsup: 0.3018 loss_rpn_loc_unsup: 0.2375 time: 5.5178 data_time: 0.7910 lr: 0.016 max_mem: 18367M [10/25 06:06:06] d2.utils.events INFO: eta: 1 day, 10:08:29 iter: 10079 total_loss: 1.882 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04156 loss_box_reg_sup: 0.3881 loss_rpn_cls_sup: 0.03983 loss_rpn_loc_sup: 0.3528 loss_cls_unsup: 0.2757 loss_box_reg_unsup: 0.2937 loss_rpn_cls_unsup: 0.3046 loss_rpn_loc_unsup: 0.2461 time: 5.5193 data_time: 0.8274 lr: 0.016 max_mem: 18367M [10/25 06:08:11] d2.utils.events INFO: eta: 1 day, 10:06:58 iter: 10099 total_loss: 1.99 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04237 loss_box_reg_sup: 0.3753 loss_rpn_cls_sup: 0.03885 loss_rpn_loc_sup: 0.3155 loss_cls_unsup: 0.2815 loss_box_reg_unsup: 0.3148 loss_rpn_cls_unsup: 0.3221 loss_rpn_loc_unsup: 0.2627 time: 5.5207 data_time: 0.8398 lr: 0.016 max_mem: 18367M [10/25 06:10:19] d2.utils.events INFO: eta: 1 day, 10:05:57 iter: 10119 total_loss: 1.925 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0429 loss_box_reg_sup: 0.3936 loss_rpn_cls_sup: 0.03713 loss_rpn_loc_sup: 0.3209 loss_cls_unsup: 0.2908 loss_box_reg_unsup: 0.3173 loss_rpn_cls_unsup: 0.3222 loss_rpn_loc_unsup: 0.2225 time: 5.5225 data_time: 0.8434 lr: 0.016 max_mem: 18367M [10/25 06:12:23] d2.utils.events INFO: eta: 1 day, 10:03:53 iter: 10139 total_loss: 1.97 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04016 loss_box_reg_sup: 0.3407 loss_rpn_cls_sup: 0.03722 loss_rpn_loc_sup: 0.3258 loss_cls_unsup: 0.2951 loss_box_reg_unsup: 0.2974 loss_rpn_cls_unsup: 0.3419 loss_rpn_loc_unsup: 0.2881 time: 5.5238 data_time: 0.8528 lr: 0.016 max_mem: 18367M [10/25 06:14:27] d2.utils.events INFO: eta: 1 day, 10:02:02 iter: 10159 total_loss: 1.985 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04346 loss_box_reg_sup: 0.389 loss_rpn_cls_sup: 0.04148 loss_rpn_loc_sup: 0.3131 loss_cls_unsup: 0.2975 loss_box_reg_unsup: 0.33 loss_rpn_cls_unsup: 0.3293 loss_rpn_loc_unsup: 0.2583 time: 5.5251 data_time: 0.8253 lr: 0.016 max_mem: 18367M [10/25 06:16:31] d2.utils.events INFO: eta: 1 day, 10:00:16 iter: 10179 total_loss: 1.892 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04183 loss_box_reg_sup: 0.3718 loss_rpn_cls_sup: 0.03592 loss_rpn_loc_sup: 0.3174 loss_cls_unsup: 0.2892 loss_box_reg_unsup: 0.3082 loss_rpn_cls_unsup: 0.3296 loss_rpn_loc_unsup: 0.2799 time: 5.5264 data_time: 0.8148 lr: 0.016 max_mem: 18367M [10/25 06:18:35] d2.utils.events INFO: eta: 1 day, 9:58:57 iter: 10199 total_loss: 1.945 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04446 loss_box_reg_sup: 0.3537 loss_rpn_cls_sup: 0.03549 loss_rpn_loc_sup: 0.3035 loss_cls_unsup: 0.2907 loss_box_reg_unsup: 0.3094 loss_rpn_cls_unsup: 0.3194 loss_rpn_loc_unsup: 0.2584 time: 5.5278 data_time: 0.8226 lr: 0.016 max_mem: 18367M [10/25 06:20:43] d2.utils.events INFO: eta: 1 day, 9:57:09 iter: 10219 total_loss: 1.93 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04604 loss_box_reg_sup: 0.3799 loss_rpn_cls_sup: 0.04136 loss_rpn_loc_sup: 0.3204 loss_cls_unsup: 0.285 loss_box_reg_unsup: 0.2921 loss_rpn_cls_unsup: 0.315 loss_rpn_loc_unsup: 0.2517 time: 5.5295 data_time: 0.8422 lr: 0.016 max_mem: 18367M [10/25 06:22:47] d2.utils.events INFO: eta: 1 day, 9:55:22 iter: 10239 total_loss: 1.953 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04499 loss_box_reg_sup: 0.3587 loss_rpn_cls_sup: 0.04266 loss_rpn_loc_sup: 0.3236 loss_cls_unsup: 0.2929 loss_box_reg_unsup: 0.3113 loss_rpn_cls_unsup: 0.3133 loss_rpn_loc_unsup: 0.2734 time: 5.5308 data_time: 0.8355 lr: 0.016 max_mem: 18367M [10/25 06:24:59] d2.utils.events INFO: eta: 1 day, 9:54:22 iter: 10259 total_loss: 2.001 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04522 loss_box_reg_sup: 0.3856 loss_rpn_cls_sup: 0.03998 loss_rpn_loc_sup: 0.318 loss_cls_unsup: 0.3012 loss_box_reg_unsup: 0.3155 loss_rpn_cls_unsup: 0.3314 loss_rpn_loc_unsup: 0.2813 time: 5.5329 data_time: 0.8129 lr: 0.016 max_mem: 18367M [10/25 06:27:05] d2.utils.events INFO: eta: 1 day, 9:53:03 iter: 10279 total_loss: 1.942 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03948 loss_box_reg_sup: 0.3459 loss_rpn_cls_sup: 0.03686 loss_rpn_loc_sup: 0.3033 loss_cls_unsup: 0.2895 loss_box_reg_unsup: 0.3149 loss_rpn_cls_unsup: 0.3441 loss_rpn_loc_unsup: 0.2769 time: 5.5344 data_time: 0.8333 lr: 0.016 max_mem: 18367M [10/25 06:29:10] d2.utils.events INFO: eta: 1 day, 9:51:25 iter: 10299 total_loss: 1.897 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04209 loss_box_reg_sup: 0.3525 loss_rpn_cls_sup: 0.03768 loss_rpn_loc_sup: 0.3103 loss_cls_unsup: 0.2907 loss_box_reg_unsup: 0.3108 loss_rpn_cls_unsup: 0.3144 loss_rpn_loc_unsup: 0.2438 time: 5.5358 data_time: 0.8285 lr: 0.016 max_mem: 18367M [10/25 06:31:19] d2.utils.events INFO: eta: 1 day, 9:50:10 iter: 10319 total_loss: 1.927 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04769 loss_box_reg_sup: 0.3993 loss_rpn_cls_sup: 0.03927 loss_rpn_loc_sup: 0.3056 loss_cls_unsup: 0.2846 loss_box_reg_unsup: 0.3103 loss_rpn_cls_unsup: 0.2929 loss_rpn_loc_unsup: 0.2383 time: 5.5376 data_time: 0.8434 lr: 0.016 max_mem: 18367M [10/25 06:33:37] d2.utils.events INFO: eta: 1 day, 9:48:26 iter: 10339 total_loss: 1.958 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04218 loss_box_reg_sup: 0.3671 loss_rpn_cls_sup: 0.0409 loss_rpn_loc_sup: 0.3178 loss_cls_unsup: 0.2904 loss_box_reg_unsup: 0.3058 loss_rpn_cls_unsup: 0.3171 loss_rpn_loc_unsup: 0.2748 time: 5.5401 data_time: 0.8240 lr: 0.016 max_mem: 18367M [10/25 06:35:45] d2.utils.events INFO: eta: 1 day, 9:46:57 iter: 10359 total_loss: 1.969 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0421 loss_box_reg_sup: 0.3698 loss_rpn_cls_sup: 0.04058 loss_rpn_loc_sup: 0.3231 loss_cls_unsup: 0.2797 loss_box_reg_unsup: 0.3085 loss_rpn_cls_unsup: 0.2991 loss_rpn_loc_unsup: 0.257 time: 5.5418 data_time: 0.8894 lr: 0.016 max_mem: 18367M [10/25 06:37:52] d2.utils.events INFO: eta: 1 day, 9:46:37 iter: 10379 total_loss: 1.916 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03943 loss_box_reg_sup: 0.3567 loss_rpn_cls_sup: 0.03567 loss_rpn_loc_sup: 0.3109 loss_cls_unsup: 0.2899 loss_box_reg_unsup: 0.2955 loss_rpn_cls_unsup: 0.3232 loss_rpn_loc_unsup: 0.2602 time: 5.5434 data_time: 0.8463 lr: 0.016 max_mem: 18367M [10/25 06:40:06] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 06:40:06] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 06:40:06] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 06:40:06] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 06:40:07] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0428 s/iter. Eval: 0.0003 s/iter. Total: 0.0440 s/iter. ETA=0:03:50 [10/25 06:40:12] d2.evaluation.evaluator INFO: Inference done 134/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0003 s/iter. Total: 0.0409 s/iter. ETA=0:03:29 [10/25 06:40:17] d2.evaluation.evaluator INFO: Inference done 258/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0003 s/iter. Total: 0.0407 s/iter. ETA=0:03:23 [10/25 06:40:22] d2.evaluation.evaluator INFO: Inference done 375/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0003 s/iter. Total: 0.0415 s/iter. ETA=0:03:22 [10/25 06:40:27] d2.evaluation.evaluator INFO: Inference done 500/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0003 s/iter. Total: 0.0411 s/iter. ETA=0:03:15 [10/25 06:40:32] d2.evaluation.evaluator INFO: Inference done 622/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0003 s/iter. Total: 0.0411 s/iter. ETA=0:03:10 [10/25 06:40:37] d2.evaluation.evaluator INFO: Inference done 749/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0003 s/iter. Total: 0.0408 s/iter. ETA=0:03:04 [10/25 06:40:42] d2.evaluation.evaluator INFO: Inference done 879/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0003 s/iter. Total: 0.0405 s/iter. ETA=0:02:57 [10/25 06:40:47] d2.evaluation.evaluator INFO: Inference done 1004/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0003 s/iter. Total: 0.0405 s/iter. ETA=0:02:52 [10/25 06:40:52] d2.evaluation.evaluator INFO: Inference done 1124/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0003 s/iter. Total: 0.0406 s/iter. ETA=0:02:47 [10/25 06:40:57] d2.evaluation.evaluator INFO: Inference done 1240/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0003 s/iter. Total: 0.0408 s/iter. ETA=0:02:44 [10/25 06:41:02] d2.evaluation.evaluator INFO: Inference done 1355/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0003 s/iter. Total: 0.0411 s/iter. ETA=0:02:40 [10/25 06:41:07] d2.evaluation.evaluator INFO: Inference done 1474/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0003 s/iter. Total: 0.0412 s/iter. ETA=0:02:35 [10/25 06:41:12] d2.evaluation.evaluator INFO: Inference done 1599/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0003 s/iter. Total: 0.0411 s/iter. ETA=0:02:30 [10/25 06:41:17] d2.evaluation.evaluator INFO: Inference done 1716/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0003 s/iter. Total: 0.0412 s/iter. ETA=0:02:26 [10/25 06:41:22] d2.evaluation.evaluator INFO: Inference done 1835/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0003 s/iter. Total: 0.0413 s/iter. ETA=0:02:21 [10/25 06:41:27] d2.evaluation.evaluator INFO: Inference done 1957/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0003 s/iter. Total: 0.0413 s/iter. ETA=0:02:16 [10/25 06:41:32] d2.evaluation.evaluator INFO: Inference done 2083/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0003 s/iter. Total: 0.0412 s/iter. ETA=0:02:10 [10/25 06:41:37] d2.evaluation.evaluator INFO: Inference done 2204/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0003 s/iter. Total: 0.0412 s/iter. ETA=0:02:05 [10/25 06:41:42] d2.evaluation.evaluator INFO: Inference done 2329/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0003 s/iter. Total: 0.0412 s/iter. ETA=0:02:00 [10/25 06:41:47] d2.evaluation.evaluator INFO: Inference done 2451/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0003 s/iter. Total: 0.0412 s/iter. ETA=0:01:55 [10/25 06:41:52] d2.evaluation.evaluator INFO: Inference done 2562/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0003 s/iter. Total: 0.0413 s/iter. ETA=0:01:51 [10/25 06:41:57] d2.evaluation.evaluator INFO: Inference done 2680/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0003 s/iter. Total: 0.0414 s/iter. ETA=0:01:46 [10/25 06:42:02] d2.evaluation.evaluator INFO: Inference done 2801/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0003 s/iter. Total: 0.0414 s/iter. ETA=0:01:41 [10/25 06:42:07] d2.evaluation.evaluator INFO: Inference done 2912/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0003 s/iter. Total: 0.0416 s/iter. ETA=0:01:37 [10/25 06:42:12] d2.evaluation.evaluator INFO: Inference done 3041/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0003 s/iter. Total: 0.0414 s/iter. ETA=0:01:31 [10/25 06:42:17] d2.evaluation.evaluator INFO: Inference done 3158/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0003 s/iter. Total: 0.0415 s/iter. ETA=0:01:27 [10/25 06:42:22] d2.evaluation.evaluator INFO: Inference done 3281/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0003 s/iter. Total: 0.0415 s/iter. ETA=0:01:21 [10/25 06:42:27] d2.evaluation.evaluator INFO: Inference done 3404/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0003 s/iter. Total: 0.0414 s/iter. ETA=0:01:16 [10/25 06:42:32] d2.evaluation.evaluator INFO: Inference done 3523/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0003 s/iter. Total: 0.0415 s/iter. ETA=0:01:11 [10/25 06:42:38] d2.evaluation.evaluator INFO: Inference done 3635/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0003 s/iter. Total: 0.0416 s/iter. ETA=0:01:07 [10/25 06:42:43] d2.evaluation.evaluator INFO: Inference done 3757/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0003 s/iter. Total: 0.0416 s/iter. ETA=0:01:02 [10/25 06:42:48] d2.evaluation.evaluator INFO: Inference done 3883/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0003 s/iter. Total: 0.0415 s/iter. ETA=0:00:57 [10/25 06:42:53] d2.evaluation.evaluator INFO: Inference done 3990/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0003 s/iter. Total: 0.0416 s/iter. ETA=0:00:52 [10/25 06:42:58] d2.evaluation.evaluator INFO: Inference done 4096/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0003 s/iter. Total: 0.0418 s/iter. ETA=0:00:48 [10/25 06:43:03] d2.evaluation.evaluator INFO: Inference done 4218/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0003 s/iter. Total: 0.0418 s/iter. ETA=0:00:43 [10/25 06:43:08] d2.evaluation.evaluator INFO: Inference done 4328/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0003 s/iter. Total: 0.0419 s/iter. ETA=0:00:38 [10/25 06:43:13] d2.evaluation.evaluator INFO: Inference done 4449/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0003 s/iter. Total: 0.0418 s/iter. ETA=0:00:33 [10/25 06:43:18] d2.evaluation.evaluator INFO: Inference done 4563/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0003 s/iter. Total: 0.0419 s/iter. ETA=0:00:29 [10/25 06:43:23] d2.evaluation.evaluator INFO: Inference done 4687/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0003 s/iter. Total: 0.0419 s/iter. ETA=0:00:23 [10/25 06:43:28] d2.evaluation.evaluator INFO: Inference done 4809/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0003 s/iter. Total: 0.0418 s/iter. ETA=0:00:18 [10/25 06:43:33] d2.evaluation.evaluator INFO: Inference done 4933/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0003 s/iter. Total: 0.0418 s/iter. ETA=0:00:13 [10/25 06:43:38] d2.evaluation.evaluator INFO: Inference done 5058/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0003 s/iter. Total: 0.0418 s/iter. ETA=0:00:08 [10/25 06:43:43] d2.evaluation.evaluator INFO: Inference done 5182/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0003 s/iter. Total: 0.0417 s/iter. ETA=0:00:03 [10/25 06:43:46] d2.evaluation.evaluator INFO: Total inference time: 0:03:39.215811 (0.041732 s / iter per device, on 1 devices) [10/25 06:43:46] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:31 (0.040339 s / iter per device, on 1 devices) [10/25 06:43:46] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 06:44:24] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 06:44:24] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 06:44:24] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 06:44:24] d2.evaluation.testing INFO: copypaste: 6.1815,13.0494,5.5810 [10/25 06:44:25] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 06:44:25] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 06:44:25] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 06:44:25] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 06:44:26] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:04:21 [10/25 06:44:31] d2.evaluation.evaluator INFO: Inference done 113/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:04:13 [10/25 06:44:36] d2.evaluation.evaluator INFO: Inference done 214/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:04:09 [10/25 06:44:41] d2.evaluation.evaluator INFO: Inference done 316/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:04:04 [10/25 06:44:46] d2.evaluation.evaluator INFO: Inference done 418/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:03:59 [10/25 06:44:51] d2.evaluation.evaluator INFO: Inference done 522/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0492 s/iter. ETA=0:03:53 [10/25 06:44:57] d2.evaluation.evaluator INFO: Inference done 626/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:03:47 [10/25 06:45:02] d2.evaluation.evaluator INFO: Inference done 727/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0004 s/iter. Total: 0.0492 s/iter. ETA=0:03:42 [10/25 06:45:07] d2.evaluation.evaluator INFO: Inference done 829/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0004 s/iter. Total: 0.0492 s/iter. ETA=0:03:37 [10/25 06:45:12] d2.evaluation.evaluator INFO: Inference done 931/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0492 s/iter. ETA=0:03:33 [10/25 06:45:17] d2.evaluation.evaluator INFO: Inference done 1031/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:03:28 [10/25 06:45:22] d2.evaluation.evaluator INFO: Inference done 1132/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:03:23 [10/25 06:45:27] d2.evaluation.evaluator INFO: Inference done 1233/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:03:18 [10/25 06:45:32] d2.evaluation.evaluator INFO: Inference done 1333/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:03:14 [10/25 06:45:37] d2.evaluation.evaluator INFO: Inference done 1434/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:03:09 [10/25 06:45:42] d2.evaluation.evaluator INFO: Inference done 1534/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:03:04 [10/25 06:45:47] d2.evaluation.evaluator INFO: Inference done 1635/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:02:59 [10/25 06:45:52] d2.evaluation.evaluator INFO: Inference done 1738/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:54 [10/25 06:45:57] d2.evaluation.evaluator INFO: Inference done 1842/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:48 [10/25 06:46:02] d2.evaluation.evaluator INFO: Inference done 1943/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:44 [10/25 06:46:07] d2.evaluation.evaluator INFO: Inference done 2040/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:02:39 [10/25 06:46:12] d2.evaluation.evaluator INFO: Inference done 2140/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:02:34 [10/25 06:46:17] d2.evaluation.evaluator INFO: Inference done 2239/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:02:29 [10/25 06:46:22] d2.evaluation.evaluator INFO: Inference done 2343/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:02:24 [10/25 06:46:27] d2.evaluation.evaluator INFO: Inference done 2445/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:02:19 [10/25 06:46:32] d2.evaluation.evaluator INFO: Inference done 2547/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:02:14 [10/25 06:46:37] d2.evaluation.evaluator INFO: Inference done 2646/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:02:09 [10/25 06:46:42] d2.evaluation.evaluator INFO: Inference done 2748/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:02:04 [10/25 06:46:47] d2.evaluation.evaluator INFO: Inference done 2851/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:01:59 [10/25 06:46:52] d2.evaluation.evaluator INFO: Inference done 2954/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:01:54 [10/25 06:46:57] d2.evaluation.evaluator INFO: Inference done 3057/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:49 [10/25 06:47:02] d2.evaluation.evaluator INFO: Inference done 3159/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:43 [10/25 06:47:07] d2.evaluation.evaluator INFO: Inference done 3262/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:38 [10/25 06:47:12] d2.evaluation.evaluator INFO: Inference done 3366/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:33 [10/25 06:47:17] d2.evaluation.evaluator INFO: Inference done 3469/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:28 [10/25 06:47:22] d2.evaluation.evaluator INFO: Inference done 3572/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:23 [10/25 06:47:27] d2.evaluation.evaluator INFO: Inference done 3674/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:18 [10/25 06:47:32] d2.evaluation.evaluator INFO: Inference done 3775/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:13 [10/25 06:47:37] d2.evaluation.evaluator INFO: Inference done 3875/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:08 [10/25 06:47:42] d2.evaluation.evaluator INFO: Inference done 3975/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:03 [10/25 06:47:47] d2.evaluation.evaluator INFO: Inference done 4074/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:58 [10/25 06:47:52] d2.evaluation.evaluator INFO: Inference done 4177/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:53 [10/25 06:47:57] d2.evaluation.evaluator INFO: Inference done 4278/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:48 [10/25 06:48:03] d2.evaluation.evaluator INFO: Inference done 4378/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:43 [10/25 06:48:08] d2.evaluation.evaluator INFO: Inference done 4481/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:38 [10/25 06:48:13] d2.evaluation.evaluator INFO: Inference done 4585/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:33 [10/25 06:48:18] d2.evaluation.evaluator INFO: Inference done 4687/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:28 [10/25 06:48:23] d2.evaluation.evaluator INFO: Inference done 4790/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:23 [10/25 06:48:28] d2.evaluation.evaluator INFO: Inference done 4890/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:18 [10/25 06:48:33] d2.evaluation.evaluator INFO: Inference done 4989/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:13 [10/25 06:48:38] d2.evaluation.evaluator INFO: Inference done 5089/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:08 [10/25 06:48:43] d2.evaluation.evaluator INFO: Inference done 5191/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:03 [10/25 06:48:46] d2.evaluation.evaluator INFO: Total inference time: 0:04:20.087090 (0.049512 s / iter per device, on 1 devices) [10/25 06:48:46] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:12 (0.048014 s / iter per device, on 1 devices) [10/25 06:48:46] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 06:49:50] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 06:49:50] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 06:49:50] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 06:49:50] d2.evaluation.testing INFO: copypaste: 6.4199,13.4545,5.8366 [10/25 06:49:50] d2.utils.events INFO: eta: 1 day, 9:44:16 iter: 10399 total_loss: 2.011 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04264 loss_box_reg_sup: 0.3764 loss_rpn_cls_sup: 0.03865 loss_rpn_loc_sup: 0.3374 loss_cls_unsup: 0.2892 loss_box_reg_unsup: 0.3341 loss_rpn_cls_unsup: 0.3244 loss_rpn_loc_unsup: 0.2819 time: 5.5450 data_time: 0.8307 lr: 0.016 max_mem: 18367M [10/25 06:52:02] d2.utils.events INFO: eta: 1 day, 9:43:00 iter: 10419 total_loss: 1.985 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04451 loss_box_reg_sup: 0.3706 loss_rpn_cls_sup: 0.04191 loss_rpn_loc_sup: 0.3251 loss_cls_unsup: 0.2755 loss_box_reg_unsup: 0.3061 loss_rpn_cls_unsup: 0.3226 loss_rpn_loc_unsup: 0.2726 time: 5.5471 data_time: 0.8636 lr: 0.016 max_mem: 18367M [10/25 06:54:09] d2.utils.events INFO: eta: 1 day, 9:41:45 iter: 10439 total_loss: 2.008 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03754 loss_box_reg_sup: 0.3521 loss_rpn_cls_sup: 0.03601 loss_rpn_loc_sup: 0.3033 loss_cls_unsup: 0.3045 loss_box_reg_unsup: 0.3222 loss_rpn_cls_unsup: 0.3215 loss_rpn_loc_unsup: 0.3039 time: 5.5486 data_time: 0.8204 lr: 0.016 max_mem: 18367M [10/25 06:56:14] d2.utils.events INFO: eta: 1 day, 9:39:56 iter: 10459 total_loss: 2.022 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04553 loss_box_reg_sup: 0.3691 loss_rpn_cls_sup: 0.04327 loss_rpn_loc_sup: 0.3341 loss_cls_unsup: 0.2921 loss_box_reg_unsup: 0.3256 loss_rpn_cls_unsup: 0.3189 loss_rpn_loc_unsup: 0.2875 time: 5.5499 data_time: 0.8164 lr: 0.016 max_mem: 18367M [10/25 06:58:18] d2.utils.events INFO: eta: 1 day, 9:37:59 iter: 10479 total_loss: 1.994 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04338 loss_box_reg_sup: 0.3634 loss_rpn_cls_sup: 0.03718 loss_rpn_loc_sup: 0.3305 loss_cls_unsup: 0.2953 loss_box_reg_unsup: 0.3267 loss_rpn_cls_unsup: 0.3181 loss_rpn_loc_unsup: 0.2559 time: 5.5512 data_time: 0.8370 lr: 0.016 max_mem: 18367M [10/25 07:00:24] d2.utils.events INFO: eta: 1 day, 9:36:29 iter: 10499 total_loss: 2.012 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03956 loss_box_reg_sup: 0.3477 loss_rpn_cls_sup: 0.04552 loss_rpn_loc_sup: 0.3431 loss_cls_unsup: 0.2769 loss_box_reg_unsup: 0.3251 loss_rpn_cls_unsup: 0.3361 loss_rpn_loc_unsup: 0.3159 time: 5.5526 data_time: 0.8336 lr: 0.016 max_mem: 18367M [10/25 07:02:30] d2.utils.events INFO: eta: 1 day, 9:35:00 iter: 10519 total_loss: 2.012 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03769 loss_box_reg_sup: 0.3254 loss_rpn_cls_sup: 0.04129 loss_rpn_loc_sup: 0.3355 loss_cls_unsup: 0.2935 loss_box_reg_unsup: 0.3362 loss_rpn_cls_unsup: 0.3275 loss_rpn_loc_unsup: 0.3016 time: 5.5540 data_time: 0.8160 lr: 0.016 max_mem: 18367M [10/25 07:04:33] d2.utils.events INFO: eta: 1 day, 9:34:07 iter: 10539 total_loss: 2.023 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04219 loss_box_reg_sup: 0.3805 loss_rpn_cls_sup: 0.04016 loss_rpn_loc_sup: 0.3206 loss_cls_unsup: 0.2856 loss_box_reg_unsup: 0.3227 loss_rpn_cls_unsup: 0.3317 loss_rpn_loc_unsup: 0.2904 time: 5.5552 data_time: 0.8340 lr: 0.016 max_mem: 18367M [10/25 07:06:37] d2.utils.events INFO: eta: 1 day, 9:32:17 iter: 10559 total_loss: 2.017 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04623 loss_box_reg_sup: 0.3559 loss_rpn_cls_sup: 0.04163 loss_rpn_loc_sup: 0.3125 loss_cls_unsup: 0.2897 loss_box_reg_unsup: 0.3219 loss_rpn_cls_unsup: 0.3202 loss_rpn_loc_unsup: 0.2814 time: 5.5564 data_time: 0.7938 lr: 0.016 max_mem: 18367M [10/25 07:08:42] d2.utils.events INFO: eta: 1 day, 9:30:35 iter: 10579 total_loss: 1.953 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03998 loss_box_reg_sup: 0.3611 loss_rpn_cls_sup: 0.0381 loss_rpn_loc_sup: 0.335 loss_cls_unsup: 0.2768 loss_box_reg_unsup: 0.3089 loss_rpn_cls_unsup: 0.3094 loss_rpn_loc_unsup: 0.2877 time: 5.5577 data_time: 0.8371 lr: 0.016 max_mem: 18367M [10/25 07:10:47] d2.utils.events INFO: eta: 1 day, 9:28:53 iter: 10599 total_loss: 1.942 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04524 loss_box_reg_sup: 0.3629 loss_rpn_cls_sup: 0.0354 loss_rpn_loc_sup: 0.3072 loss_cls_unsup: 0.2858 loss_box_reg_unsup: 0.3147 loss_rpn_cls_unsup: 0.3256 loss_rpn_loc_unsup: 0.2457 time: 5.5590 data_time: 0.8205 lr: 0.016 max_mem: 18367M [10/25 07:12:53] d2.utils.events INFO: eta: 1 day, 9:26:28 iter: 10619 total_loss: 1.975 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04126 loss_box_reg_sup: 0.377 loss_rpn_cls_sup: 0.03946 loss_rpn_loc_sup: 0.3191 loss_cls_unsup: 0.2937 loss_box_reg_unsup: 0.3106 loss_rpn_cls_unsup: 0.3248 loss_rpn_loc_unsup: 0.2792 time: 5.5604 data_time: 0.8394 lr: 0.016 max_mem: 18367M [10/25 07:15:12] d2.utils.events INFO: eta: 1 day, 9:25:39 iter: 10639 total_loss: 1.978 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03953 loss_box_reg_sup: 0.3509 loss_rpn_cls_sup: 0.0378 loss_rpn_loc_sup: 0.3107 loss_cls_unsup: 0.2769 loss_box_reg_unsup: 0.3213 loss_rpn_cls_unsup: 0.3285 loss_rpn_loc_unsup: 0.2537 time: 5.5630 data_time: 0.8305 lr: 0.016 max_mem: 18367M [10/25 07:17:20] d2.utils.events INFO: eta: 1 day, 9:23:50 iter: 10659 total_loss: 2.026 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04537 loss_box_reg_sup: 0.3809 loss_rpn_cls_sup: 0.04141 loss_rpn_loc_sup: 0.3308 loss_cls_unsup: 0.2817 loss_box_reg_unsup: 0.3218 loss_rpn_cls_unsup: 0.3153 loss_rpn_loc_unsup: 0.2957 time: 5.5646 data_time: 0.8241 lr: 0.016 max_mem: 18367M [10/25 07:19:28] d2.utils.events INFO: eta: 1 day, 9:23:22 iter: 10679 total_loss: 1.978 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04538 loss_box_reg_sup: 0.3662 loss_rpn_cls_sup: 0.03618 loss_rpn_loc_sup: 0.3125 loss_cls_unsup: 0.2777 loss_box_reg_unsup: 0.3231 loss_rpn_cls_unsup: 0.3297 loss_rpn_loc_unsup: 0.2971 time: 5.5662 data_time: 0.8343 lr: 0.016 max_mem: 18367M [10/25 07:21:34] d2.utils.events INFO: eta: 1 day, 9:22:02 iter: 10699 total_loss: 1.941 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04606 loss_box_reg_sup: 0.398 loss_rpn_cls_sup: 0.03909 loss_rpn_loc_sup: 0.3125 loss_cls_unsup: 0.2809 loss_box_reg_unsup: 0.3162 loss_rpn_cls_unsup: 0.3083 loss_rpn_loc_unsup: 0.242 time: 5.5675 data_time: 0.8144 lr: 0.016 max_mem: 18367M [10/25 07:23:40] d2.utils.events INFO: eta: 1 day, 9:20:05 iter: 10719 total_loss: 1.915 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04193 loss_box_reg_sup: 0.3586 loss_rpn_cls_sup: 0.03716 loss_rpn_loc_sup: 0.3263 loss_cls_unsup: 0.2909 loss_box_reg_unsup: 0.3255 loss_rpn_cls_unsup: 0.3064 loss_rpn_loc_unsup: 0.2455 time: 5.5689 data_time: 0.8556 lr: 0.016 max_mem: 18367M [10/25 07:25:44] d2.utils.events INFO: eta: 1 day, 9:18:26 iter: 10739 total_loss: 1.995 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04337 loss_box_reg_sup: 0.3768 loss_rpn_cls_sup: 0.03472 loss_rpn_loc_sup: 0.3172 loss_cls_unsup: 0.2809 loss_box_reg_unsup: 0.3154 loss_rpn_cls_unsup: 0.3232 loss_rpn_loc_unsup: 0.2706 time: 5.5701 data_time: 0.8141 lr: 0.016 max_mem: 18367M [10/25 07:27:49] d2.utils.events INFO: eta: 1 day, 9:16:07 iter: 10759 total_loss: 2.02 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03824 loss_box_reg_sup: 0.376 loss_rpn_cls_sup: 0.0357 loss_rpn_loc_sup: 0.3196 loss_cls_unsup: 0.2822 loss_box_reg_unsup: 0.321 loss_rpn_cls_unsup: 0.3301 loss_rpn_loc_unsup: 0.3098 time: 5.5713 data_time: 0.8575 lr: 0.016 max_mem: 18367M [10/25 07:29:54] d2.utils.events INFO: eta: 1 day, 9:14:23 iter: 10779 total_loss: 2.085 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04651 loss_box_reg_sup: 0.3919 loss_rpn_cls_sup: 0.03974 loss_rpn_loc_sup: 0.3338 loss_cls_unsup: 0.2905 loss_box_reg_unsup: 0.3317 loss_rpn_cls_unsup: 0.3429 loss_rpn_loc_unsup: 0.2603 time: 5.5726 data_time: 0.8493 lr: 0.016 max_mem: 18367M [10/25 07:32:18] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 07:32:18] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 07:32:18] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 07:32:18] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 07:32:19] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0370 s/iter. Eval: 0.0004 s/iter. Total: 0.0383 s/iter. ETA=0:03:21 [10/25 07:32:24] d2.evaluation.evaluator INFO: Inference done 136/5258. Dataloading: 0.0010 s/iter. Inference: 0.0388 s/iter. Eval: 0.0004 s/iter. Total: 0.0402 s/iter. ETA=0:03:25 [10/25 07:32:29] d2.evaluation.evaluator INFO: Inference done 259/5258. Dataloading: 0.0011 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:03:22 [10/25 07:32:34] d2.evaluation.evaluator INFO: Inference done 379/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0409 s/iter. ETA=0:03:19 [10/25 07:32:39] d2.evaluation.evaluator INFO: Inference done 493/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:03:18 [10/25 07:32:44] d2.evaluation.evaluator INFO: Inference done 610/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:03:14 [10/25 07:32:49] d2.evaluation.evaluator INFO: Inference done 737/5258. Dataloading: 0.0011 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:03:07 [10/25 07:32:54] d2.evaluation.evaluator INFO: Inference done 864/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:03:00 [10/25 07:32:59] d2.evaluation.evaluator INFO: Inference done 983/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:02:56 [10/25 07:33:04] d2.evaluation.evaluator INFO: Inference done 1111/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:02:50 [10/25 07:33:09] d2.evaluation.evaluator INFO: Inference done 1230/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:02:45 [10/25 07:33:14] d2.evaluation.evaluator INFO: Inference done 1355/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:02:40 [10/25 07:33:19] d2.evaluation.evaluator INFO: Inference done 1473/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:02:36 [10/25 07:33:24] d2.evaluation.evaluator INFO: Inference done 1600/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:02:30 [10/25 07:33:29] d2.evaluation.evaluator INFO: Inference done 1713/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:02:26 [10/25 07:33:34] d2.evaluation.evaluator INFO: Inference done 1835/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:02:21 [10/25 07:33:39] d2.evaluation.evaluator INFO: Inference done 1960/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:02:15 [10/25 07:33:44] d2.evaluation.evaluator INFO: Inference done 2082/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:02:10 [10/25 07:33:49] d2.evaluation.evaluator INFO: Inference done 2202/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:02:06 [10/25 07:33:54] d2.evaluation.evaluator INFO: Inference done 2320/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:02:01 [10/25 07:33:59] d2.evaluation.evaluator INFO: Inference done 2439/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:01:56 [10/25 07:34:04] d2.evaluation.evaluator INFO: Inference done 2560/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:01:51 [10/25 07:34:09] d2.evaluation.evaluator INFO: Inference done 2671/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:01:47 [10/25 07:34:14] d2.evaluation.evaluator INFO: Inference done 2795/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:01:42 [10/25 07:34:19] d2.evaluation.evaluator INFO: Inference done 2920/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:01:36 [10/25 07:34:24] d2.evaluation.evaluator INFO: Inference done 3044/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:01:31 [10/25 07:34:29] d2.evaluation.evaluator INFO: Inference done 3170/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:01:26 [10/25 07:34:34] d2.evaluation.evaluator INFO: Inference done 3283/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:01:21 [10/25 07:34:39] d2.evaluation.evaluator INFO: Inference done 3410/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:01:16 [10/25 07:34:44] d2.evaluation.evaluator INFO: Inference done 3532/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:01:11 [10/25 07:34:50] d2.evaluation.evaluator INFO: Inference done 3658/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:01:06 [10/25 07:34:55] d2.evaluation.evaluator INFO: Inference done 3781/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:01:00 [10/25 07:35:00] d2.evaluation.evaluator INFO: Inference done 3903/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:00:55 [10/25 07:35:05] d2.evaluation.evaluator INFO: Inference done 4031/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:00:50 [10/25 07:35:10] d2.evaluation.evaluator INFO: Inference done 4152/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:00:45 [10/25 07:35:15] d2.evaluation.evaluator INFO: Inference done 4279/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:00:40 [10/25 07:35:20] d2.evaluation.evaluator INFO: Inference done 4406/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:00:35 [10/25 07:35:25] d2.evaluation.evaluator INFO: Inference done 4517/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:00:30 [10/25 07:35:30] d2.evaluation.evaluator INFO: Inference done 4636/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:00:25 [10/25 07:35:35] d2.evaluation.evaluator INFO: Inference done 4759/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:00:20 [10/25 07:35:40] d2.evaluation.evaluator INFO: Inference done 4880/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:00:15 [10/25 07:35:45] d2.evaluation.evaluator INFO: Inference done 5002/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:00:10 [10/25 07:35:50] d2.evaluation.evaluator INFO: Inference done 5118/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:00:05 [10/25 07:35:55] d2.evaluation.evaluator INFO: Inference done 5246/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:00:00 [10/25 07:35:55] d2.evaluation.evaluator INFO: Total inference time: 0:03:36.698576 (0.041252 s / iter per device, on 1 devices) [10/25 07:35:55] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:29 (0.039798 s / iter per device, on 1 devices) [10/25 07:35:55] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 07:36:54] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 07:36:54] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 07:36:54] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 07:36:54] d2.evaluation.testing INFO: copypaste: 6.1269,13.0938,5.4223 [10/25 07:36:55] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 07:36:55] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 07:36:55] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 07:36:55] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 07:36:56] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0488 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:04:22 [10/25 07:37:01] d2.evaluation.evaluator INFO: Inference done 112/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:04:15 [10/25 07:37:06] d2.evaluation.evaluator INFO: Inference done 212/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:04:12 [10/25 07:37:11] d2.evaluation.evaluator INFO: Inference done 311/5258. Dataloading: 0.0010 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:04:08 [10/25 07:37:16] d2.evaluation.evaluator INFO: Inference done 412/5258. Dataloading: 0.0010 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:04:02 [10/25 07:37:21] d2.evaluation.evaluator INFO: Inference done 512/5258. Dataloading: 0.0010 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:03:58 [10/25 07:37:26] d2.evaluation.evaluator INFO: Inference done 614/5258. Dataloading: 0.0010 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:52 [10/25 07:37:31] d2.evaluation.evaluator INFO: Inference done 715/5258. Dataloading: 0.0010 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:47 [10/25 07:37:37] d2.evaluation.evaluator INFO: Inference done 817/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:03:41 [10/25 07:37:42] d2.evaluation.evaluator INFO: Inference done 919/5258. Dataloading: 0.0010 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:03:36 [10/25 07:37:47] d2.evaluation.evaluator INFO: Inference done 1021/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:30 [10/25 07:37:52] d2.evaluation.evaluator INFO: Inference done 1124/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:25 [10/25 07:37:57] d2.evaluation.evaluator INFO: Inference done 1225/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:20 [10/25 07:38:02] d2.evaluation.evaluator INFO: Inference done 1328/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:14 [10/25 07:38:07] d2.evaluation.evaluator INFO: Inference done 1429/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:10 [10/25 07:38:12] d2.evaluation.evaluator INFO: Inference done 1530/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:05 [10/25 07:38:17] d2.evaluation.evaluator INFO: Inference done 1630/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:00 [10/25 07:38:22] d2.evaluation.evaluator INFO: Inference done 1730/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:02:55 [10/25 07:38:27] d2.evaluation.evaluator INFO: Inference done 1833/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:02:50 [10/25 07:38:32] d2.evaluation.evaluator INFO: Inference done 1935/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:02:44 [10/25 07:38:37] d2.evaluation.evaluator INFO: Inference done 2039/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:39 [10/25 07:38:42] d2.evaluation.evaluator INFO: Inference done 2143/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:34 [10/25 07:38:47] d2.evaluation.evaluator INFO: Inference done 2242/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:29 [10/25 07:38:52] d2.evaluation.evaluator INFO: Inference done 2343/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:02:24 [10/25 07:38:57] d2.evaluation.evaluator INFO: Inference done 2448/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:19 [10/25 07:39:02] d2.evaluation.evaluator INFO: Inference done 2549/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:14 [10/25 07:39:07] d2.evaluation.evaluator INFO: Inference done 2650/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:09 [10/25 07:39:12] d2.evaluation.evaluator INFO: Inference done 2751/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:04 [10/25 07:39:17] d2.evaluation.evaluator INFO: Inference done 2847/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:01:59 [10/25 07:39:22] d2.evaluation.evaluator INFO: Inference done 2948/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:01:54 [10/25 07:39:27] d2.evaluation.evaluator INFO: Inference done 3049/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:01:49 [10/25 07:39:32] d2.evaluation.evaluator INFO: Inference done 3152/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:01:44 [10/25 07:39:37] d2.evaluation.evaluator INFO: Inference done 3254/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:01:39 [10/25 07:39:42] d2.evaluation.evaluator INFO: Inference done 3353/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:01:34 [10/25 07:39:47] d2.evaluation.evaluator INFO: Inference done 3454/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:01:29 [10/25 07:39:52] d2.evaluation.evaluator INFO: Inference done 3557/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:01:24 [10/25 07:39:57] d2.evaluation.evaluator INFO: Inference done 3660/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:01:19 [10/25 07:40:02] d2.evaluation.evaluator INFO: Inference done 3761/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:01:14 [10/25 07:40:07] d2.evaluation.evaluator INFO: Inference done 3863/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:01:09 [10/25 07:40:12] d2.evaluation.evaluator INFO: Inference done 3964/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:01:04 [10/25 07:40:17] d2.evaluation.evaluator INFO: Inference done 4065/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:59 [10/25 07:40:22] d2.evaluation.evaluator INFO: Inference done 4166/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:54 [10/25 07:40:27] d2.evaluation.evaluator INFO: Inference done 4267/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:49 [10/25 07:40:32] d2.evaluation.evaluator INFO: Inference done 4369/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:44 [10/25 07:40:37] d2.evaluation.evaluator INFO: Inference done 4472/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:38 [10/25 07:40:42] d2.evaluation.evaluator INFO: Inference done 4574/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:33 [10/25 07:40:48] d2.evaluation.evaluator INFO: Inference done 4675/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:28 [10/25 07:40:53] d2.evaluation.evaluator INFO: Inference done 4772/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:24 [10/25 07:40:58] d2.evaluation.evaluator INFO: Inference done 4872/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:19 [10/25 07:41:03] d2.evaluation.evaluator INFO: Inference done 4971/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:14 [10/25 07:41:08] d2.evaluation.evaluator INFO: Inference done 5072/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:09 [10/25 07:41:13] d2.evaluation.evaluator INFO: Inference done 5173/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:04 [10/25 07:41:17] d2.evaluation.evaluator INFO: Total inference time: 0:04:20.956138 (0.049678 s / iter per device, on 1 devices) [10/25 07:41:17] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:13 (0.048196 s / iter per device, on 1 devices) [10/25 07:41:17] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 07:42:19] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 07:42:19] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 07:42:19] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 07:42:19] d2.evaluation.testing INFO: copypaste: 6.4518,13.5765,5.8511 [10/25 07:42:19] d2.utils.events INFO: eta: 1 day, 9:12:23 iter: 10799 total_loss: 1.982 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04615 loss_box_reg_sup: 0.3963 loss_rpn_cls_sup: 0.0391 loss_rpn_loc_sup: 0.3399 loss_cls_unsup: 0.2815 loss_box_reg_unsup: 0.3277 loss_rpn_cls_unsup: 0.3101 loss_rpn_loc_unsup: 0.2554 time: 5.5750 data_time: 0.8340 lr: 0.016 max_mem: 18367M [10/25 07:44:24] d2.utils.events INFO: eta: 1 day, 9:10:08 iter: 10819 total_loss: 1.985 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03918 loss_box_reg_sup: 0.3568 loss_rpn_cls_sup: 0.03764 loss_rpn_loc_sup: 0.3065 loss_cls_unsup: 0.2811 loss_box_reg_unsup: 0.3243 loss_rpn_cls_unsup: 0.3273 loss_rpn_loc_unsup: 0.2645 time: 5.5763 data_time: 0.8371 lr: 0.016 max_mem: 18367M [10/25 07:46:28] d2.utils.events INFO: eta: 1 day, 9:06:57 iter: 10839 total_loss: 1.997 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04351 loss_box_reg_sup: 0.3756 loss_rpn_cls_sup: 0.03678 loss_rpn_loc_sup: 0.3249 loss_cls_unsup: 0.2824 loss_box_reg_unsup: 0.3287 loss_rpn_cls_unsup: 0.3304 loss_rpn_loc_unsup: 0.2878 time: 5.5774 data_time: 0.8120 lr: 0.016 max_mem: 18367M [10/25 07:48:37] d2.utils.events INFO: eta: 1 day, 9:05:11 iter: 10859 total_loss: 1.988 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03918 loss_box_reg_sup: 0.3631 loss_rpn_cls_sup: 0.03896 loss_rpn_loc_sup: 0.318 loss_cls_unsup: 0.2853 loss_box_reg_unsup: 0.3221 loss_rpn_cls_unsup: 0.3249 loss_rpn_loc_unsup: 0.2724 time: 5.5790 data_time: 0.8442 lr: 0.016 max_mem: 18367M [10/25 07:50:49] d2.utils.events INFO: eta: 1 day, 9:03:29 iter: 10879 total_loss: 1.928 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03998 loss_box_reg_sup: 0.3302 loss_rpn_cls_sup: 0.03416 loss_rpn_loc_sup: 0.2886 loss_cls_unsup: 0.2821 loss_box_reg_unsup: 0.3353 loss_rpn_cls_unsup: 0.3123 loss_rpn_loc_unsup: 0.2951 time: 5.5809 data_time: 0.8105 lr: 0.016 max_mem: 18367M [10/25 07:52:55] d2.utils.events INFO: eta: 1 day, 9:00:44 iter: 10899 total_loss: 1.99 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04417 loss_box_reg_sup: 0.3447 loss_rpn_cls_sup: 0.03981 loss_rpn_loc_sup: 0.3145 loss_cls_unsup: 0.2897 loss_box_reg_unsup: 0.3542 loss_rpn_cls_unsup: 0.3303 loss_rpn_loc_unsup: 0.3039 time: 5.5822 data_time: 0.7958 lr: 0.016 max_mem: 18367M [10/25 07:55:01] d2.utils.events INFO: eta: 1 day, 8:58:47 iter: 10919 total_loss: 2.025 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0456 loss_box_reg_sup: 0.3756 loss_rpn_cls_sup: 0.0437 loss_rpn_loc_sup: 0.328 loss_cls_unsup: 0.2975 loss_box_reg_unsup: 0.3553 loss_rpn_cls_unsup: 0.3129 loss_rpn_loc_unsup: 0.2757 time: 5.5835 data_time: 0.8344 lr: 0.016 max_mem: 18367M [10/25 07:57:08] d2.utils.events INFO: eta: 1 day, 8:56:22 iter: 10939 total_loss: 1.996 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04488 loss_box_reg_sup: 0.3805 loss_rpn_cls_sup: 0.04032 loss_rpn_loc_sup: 0.3299 loss_cls_unsup: 0.2794 loss_box_reg_unsup: 0.3157 loss_rpn_cls_unsup: 0.3348 loss_rpn_loc_unsup: 0.2943 time: 5.5849 data_time: 0.8124 lr: 0.016 max_mem: 18367M [10/25 07:59:12] d2.utils.events INFO: eta: 1 day, 8:53:33 iter: 10959 total_loss: 1.999 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04158 loss_box_reg_sup: 0.3858 loss_rpn_cls_sup: 0.04178 loss_rpn_loc_sup: 0.3224 loss_cls_unsup: 0.2839 loss_box_reg_unsup: 0.3167 loss_rpn_cls_unsup: 0.3256 loss_rpn_loc_unsup: 0.2777 time: 5.5860 data_time: 0.8065 lr: 0.016 max_mem: 18367M [10/25 08:01:19] d2.utils.events INFO: eta: 1 day, 8:52:26 iter: 10979 total_loss: 1.98 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04645 loss_box_reg_sup: 0.3915 loss_rpn_cls_sup: 0.04214 loss_rpn_loc_sup: 0.3358 loss_cls_unsup: 0.2742 loss_box_reg_unsup: 0.3311 loss_rpn_cls_unsup: 0.3239 loss_rpn_loc_unsup: 0.2694 time: 5.5875 data_time: 0.8345 lr: 0.016 max_mem: 18367M [10/25 08:03:23] d2.utils.events INFO: eta: 1 day, 8:49:50 iter: 10999 total_loss: 2.026 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04309 loss_box_reg_sup: 0.3577 loss_rpn_cls_sup: 0.03925 loss_rpn_loc_sup: 0.3325 loss_cls_unsup: 0.2982 loss_box_reg_unsup: 0.3388 loss_rpn_cls_unsup: 0.3361 loss_rpn_loc_unsup: 0.2567 time: 5.5886 data_time: 0.8105 lr: 0.016 max_mem: 18367M [10/25 08:05:27] d2.utils.events INFO: eta: 1 day, 8:47:29 iter: 11019 total_loss: 1.97 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04245 loss_box_reg_sup: 0.3473 loss_rpn_cls_sup: 0.03858 loss_rpn_loc_sup: 0.3014 loss_cls_unsup: 0.2928 loss_box_reg_unsup: 0.3404 loss_rpn_cls_unsup: 0.3295 loss_rpn_loc_unsup: 0.2703 time: 5.5897 data_time: 0.8326 lr: 0.016 max_mem: 18367M [10/25 08:07:36] d2.utils.events INFO: eta: 1 day, 8:46:00 iter: 11039 total_loss: 1.946 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04268 loss_box_reg_sup: 0.3465 loss_rpn_cls_sup: 0.0402 loss_rpn_loc_sup: 0.3112 loss_cls_unsup: 0.2665 loss_box_reg_unsup: 0.313 loss_rpn_cls_unsup: 0.3205 loss_rpn_loc_unsup: 0.2965 time: 5.5912 data_time: 0.8527 lr: 0.016 max_mem: 18367M [10/25 08:09:48] d2.utils.events INFO: eta: 1 day, 8:44:12 iter: 11059 total_loss: 2.017 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0453 loss_box_reg_sup: 0.3913 loss_rpn_cls_sup: 0.03649 loss_rpn_loc_sup: 0.3427 loss_cls_unsup: 0.2757 loss_box_reg_unsup: 0.3276 loss_rpn_cls_unsup: 0.2984 loss_rpn_loc_unsup: 0.2698 time: 5.5931 data_time: 0.8754 lr: 0.016 max_mem: 18367M [10/25 08:11:56] d2.utils.events INFO: eta: 1 day, 8:42:11 iter: 11079 total_loss: 1.99 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04042 loss_box_reg_sup: 0.373 loss_rpn_cls_sup: 0.03608 loss_rpn_loc_sup: 0.311 loss_cls_unsup: 0.2844 loss_box_reg_unsup: 0.3326 loss_rpn_cls_unsup: 0.3195 loss_rpn_loc_unsup: 0.2878 time: 5.5945 data_time: 0.8435 lr: 0.016 max_mem: 18367M [10/25 08:14:01] d2.utils.events INFO: eta: 1 day, 8:40:33 iter: 11099 total_loss: 2.082 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04785 loss_box_reg_sup: 0.3855 loss_rpn_cls_sup: 0.04077 loss_rpn_loc_sup: 0.3306 loss_cls_unsup: 0.2828 loss_box_reg_unsup: 0.3343 loss_rpn_cls_unsup: 0.3256 loss_rpn_loc_unsup: 0.301 time: 5.5957 data_time: 0.8629 lr: 0.016 max_mem: 18367M [10/25 08:16:12] d2.utils.events INFO: eta: 1 day, 8:38:29 iter: 11119 total_loss: 1.991 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04756 loss_box_reg_sup: 0.3744 loss_rpn_cls_sup: 0.03996 loss_rpn_loc_sup: 0.3189 loss_cls_unsup: 0.2635 loss_box_reg_unsup: 0.3518 loss_rpn_cls_unsup: 0.3049 loss_rpn_loc_unsup: 0.2954 time: 5.5973 data_time: 0.8153 lr: 0.016 max_mem: 18367M [10/25 08:18:15] d2.utils.events INFO: eta: 1 day, 8:35:50 iter: 11139 total_loss: 2.007 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04053 loss_box_reg_sup: 0.3574 loss_rpn_cls_sup: 0.03887 loss_rpn_loc_sup: 0.3205 loss_cls_unsup: 0.2878 loss_box_reg_unsup: 0.3546 loss_rpn_cls_unsup: 0.3288 loss_rpn_loc_unsup: 0.2884 time: 5.5984 data_time: 0.8189 lr: 0.016 max_mem: 18367M [10/25 08:20:20] d2.utils.events INFO: eta: 1 day, 8:34:20 iter: 11159 total_loss: 2.022 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04799 loss_box_reg_sup: 0.3886 loss_rpn_cls_sup: 0.04108 loss_rpn_loc_sup: 0.3235 loss_cls_unsup: 0.287 loss_box_reg_unsup: 0.3323 loss_rpn_cls_unsup: 0.3144 loss_rpn_loc_unsup: 0.2667 time: 5.5996 data_time: 0.8144 lr: 0.016 max_mem: 18367M [10/25 08:22:25] d2.utils.events INFO: eta: 1 day, 8:32:28 iter: 11179 total_loss: 1.967 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03917 loss_box_reg_sup: 0.3525 loss_rpn_cls_sup: 0.03568 loss_rpn_loc_sup: 0.308 loss_cls_unsup: 0.2966 loss_box_reg_unsup: 0.3432 loss_rpn_cls_unsup: 0.3147 loss_rpn_loc_unsup: 0.2794 time: 5.6007 data_time: 0.8533 lr: 0.016 max_mem: 18367M [10/25 08:24:38] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 08:24:38] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 08:24:38] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 08:24:38] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 08:24:39] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0410 s/iter. ETA=0:03:35 [10/25 08:24:44] d2.evaluation.evaluator INFO: Inference done 119/5258. Dataloading: 0.0012 s/iter. Inference: 0.0446 s/iter. Eval: 0.0004 s/iter. Total: 0.0463 s/iter. ETA=0:03:57 [10/25 08:24:49] d2.evaluation.evaluator INFO: Inference done 237/5258. Dataloading: 0.0012 s/iter. Inference: 0.0428 s/iter. Eval: 0.0004 s/iter. Total: 0.0444 s/iter. ETA=0:03:43 [10/25 08:24:54] d2.evaluation.evaluator INFO: Inference done 361/5258. Dataloading: 0.0011 s/iter. 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ETA=0:00:22 [10/25 08:28:05] d2.evaluation.evaluator INFO: Inference done 4860/5258. Dataloading: 0.0010 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:00:16 [10/25 08:28:10] d2.evaluation.evaluator INFO: Inference done 4976/5258. Dataloading: 0.0010 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:00:11 [10/25 08:28:15] d2.evaluation.evaluator INFO: Inference done 5097/5258. Dataloading: 0.0010 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:00:06 [10/25 08:28:20] d2.evaluation.evaluator INFO: Inference done 5208/5258. Dataloading: 0.0010 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:00:02 [10/25 08:28:22] d2.evaluation.evaluator INFO: Total inference time: 0:03:43.522614 (0.042551 s / iter per device, on 1 devices) [10/25 08:28:22] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:35 (0.041047 s / iter per device, on 1 devices) [10/25 08:28:22] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 08:29:20] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 08:29:20] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 08:29:20] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 08:29:20] d2.evaluation.testing INFO: copypaste: 6.2429,13.2950,5.5124 [10/25 08:29:21] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 08:29:21] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 08:29:21] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 08:29:21] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 08:29:23] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0543 s/iter. Eval: 0.0005 s/iter. Total: 0.0557 s/iter. ETA=0:04:52 [10/25 08:29:28] d2.evaluation.evaluator INFO: Inference done 110/5258. Dataloading: 0.0010 s/iter. Inference: 0.0493 s/iter. Eval: 0.0004 s/iter. Total: 0.0508 s/iter. ETA=0:04:21 [10/25 08:29:33] d2.evaluation.evaluator INFO: Inference done 210/5258. Dataloading: 0.0010 s/iter. Inference: 0.0490 s/iter. Eval: 0.0004 s/iter. Total: 0.0505 s/iter. ETA=0:04:14 [10/25 08:29:38] d2.evaluation.evaluator INFO: Inference done 311/5258. Dataloading: 0.0010 s/iter. 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ETA=0:03:41 [10/25 08:30:08] d2.evaluation.evaluator INFO: Inference done 918/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0498 s/iter. ETA=0:03:36 [10/25 08:30:13] d2.evaluation.evaluator INFO: Inference done 1022/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:03:30 [10/25 08:30:18] d2.evaluation.evaluator INFO: Inference done 1125/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:03:24 [10/25 08:30:23] d2.evaluation.evaluator INFO: Inference done 1228/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:03:19 [10/25 08:30:28] d2.evaluation.evaluator INFO: Inference done 1331/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:03:14 [10/25 08:30:33] d2.evaluation.evaluator INFO: Inference done 1431/5258. 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ETA=0:00:58 [10/25 08:32:49] d2.evaluation.evaluator INFO: Inference done 4177/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:53 [10/25 08:32:54] d2.evaluation.evaluator INFO: Inference done 4280/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:48 [10/25 08:32:59] d2.evaluation.evaluator INFO: Inference done 4382/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:43 [10/25 08:33:04] d2.evaluation.evaluator INFO: Inference done 4484/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:38 [10/25 08:33:09] d2.evaluation.evaluator INFO: Inference done 4585/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:33 [10/25 08:33:14] d2.evaluation.evaluator INFO: Inference done 4687/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:28 [10/25 08:33:19] d2.evaluation.evaluator INFO: Inference done 4791/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:23 [10/25 08:33:24] d2.evaluation.evaluator INFO: Inference done 4891/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:18 [10/25 08:33:29] d2.evaluation.evaluator INFO: Inference done 4994/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:13 [10/25 08:33:34] d2.evaluation.evaluator INFO: Inference done 5096/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:08 [10/25 08:33:39] d2.evaluation.evaluator INFO: Inference done 5198/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:02 [10/25 08:33:42] d2.evaluation.evaluator INFO: Total inference time: 0:04:19.570399 (0.049414 s / iter per device, on 1 devices) [10/25 08:33:42] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:11 (0.047915 s / iter per device, on 1 devices) [10/25 08:33:42] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 08:34:43] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 08:34:43] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 08:34:43] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 08:34:43] d2.evaluation.testing INFO: copypaste: 6.4468,13.4999,5.8684 [10/25 08:34:43] d2.utils.events INFO: eta: 1 day, 8:30:24 iter: 11199 total_loss: 2.068 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04618 loss_box_reg_sup: 0.3652 loss_rpn_cls_sup: 0.03987 loss_rpn_loc_sup: 0.3094 loss_cls_unsup: 0.2887 loss_box_reg_unsup: 0.3321 loss_rpn_cls_unsup: 0.3112 loss_rpn_loc_unsup: 0.3225 time: 5.6020 data_time: 0.8381 lr: 0.016 max_mem: 18367M [10/25 08:36:47] d2.utils.events INFO: eta: 1 day, 8:28:00 iter: 11219 total_loss: 2.055 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04646 loss_box_reg_sup: 0.3792 loss_rpn_cls_sup: 0.03874 loss_rpn_loc_sup: 0.31 loss_cls_unsup: 0.2929 loss_box_reg_unsup: 0.3536 loss_rpn_cls_unsup: 0.3175 loss_rpn_loc_unsup: 0.2939 time: 5.6031 data_time: 0.7879 lr: 0.016 max_mem: 18367M [10/25 08:38:54] d2.utils.events INFO: eta: 1 day, 8:25:44 iter: 11239 total_loss: 1.906 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04004 loss_box_reg_sup: 0.3453 loss_rpn_cls_sup: 0.03943 loss_rpn_loc_sup: 0.3083 loss_cls_unsup: 0.2667 loss_box_reg_unsup: 0.3522 loss_rpn_cls_unsup: 0.3041 loss_rpn_loc_unsup: 0.2659 time: 5.6044 data_time: 0.8067 lr: 0.016 max_mem: 18367M [10/25 08:40:59] d2.utils.events INFO: eta: 1 day, 8:23:27 iter: 11259 total_loss: 2.064 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03962 loss_box_reg_sup: 0.3258 loss_rpn_cls_sup: 0.04401 loss_rpn_loc_sup: 0.3175 loss_cls_unsup: 0.2738 loss_box_reg_unsup: 0.3499 loss_rpn_cls_unsup: 0.3357 loss_rpn_loc_unsup: 0.3495 time: 5.6056 data_time: 0.8326 lr: 0.016 max_mem: 18367M [10/25 08:43:11] d2.utils.events INFO: eta: 1 day, 8:21:16 iter: 11279 total_loss: 2.072 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0407 loss_box_reg_sup: 0.3676 loss_rpn_cls_sup: 0.04095 loss_rpn_loc_sup: 0.3152 loss_cls_unsup: 0.3087 loss_box_reg_unsup: 0.3551 loss_rpn_cls_unsup: 0.3344 loss_rpn_loc_unsup: 0.3044 time: 5.6073 data_time: 0.8858 lr: 0.016 max_mem: 18367M [10/25 08:45:15] d2.utils.events INFO: eta: 1 day, 8:19:31 iter: 11299 total_loss: 2.046 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04578 loss_box_reg_sup: 0.377 loss_rpn_cls_sup: 0.04325 loss_rpn_loc_sup: 0.3178 loss_cls_unsup: 0.299 loss_box_reg_unsup: 0.3414 loss_rpn_cls_unsup: 0.3221 loss_rpn_loc_unsup: 0.2694 time: 5.6084 data_time: 0.8373 lr: 0.016 max_mem: 18367M [10/25 08:47:19] d2.utils.events INFO: eta: 1 day, 8:17:14 iter: 11319 total_loss: 1.991 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04162 loss_box_reg_sup: 0.3573 loss_rpn_cls_sup: 0.03963 loss_rpn_loc_sup: 0.3136 loss_cls_unsup: 0.2804 loss_box_reg_unsup: 0.3298 loss_rpn_cls_unsup: 0.3094 loss_rpn_loc_unsup: 0.3048 time: 5.6094 data_time: 0.8166 lr: 0.016 max_mem: 18367M [10/25 08:49:23] d2.utils.events INFO: eta: 1 day, 8:14:19 iter: 11339 total_loss: 1.942 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04071 loss_box_reg_sup: 0.343 loss_rpn_cls_sup: 0.03413 loss_rpn_loc_sup: 0.3142 loss_cls_unsup: 0.2729 loss_box_reg_unsup: 0.3361 loss_rpn_cls_unsup: 0.3108 loss_rpn_loc_unsup: 0.2859 time: 5.6105 data_time: 0.7968 lr: 0.016 max_mem: 18367M [10/25 08:51:27] d2.utils.events INFO: eta: 1 day, 8:11:36 iter: 11359 total_loss: 2.01 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04342 loss_box_reg_sup: 0.3626 loss_rpn_cls_sup: 0.03498 loss_rpn_loc_sup: 0.3056 loss_cls_unsup: 0.2884 loss_box_reg_unsup: 0.3546 loss_rpn_cls_unsup: 0.3236 loss_rpn_loc_unsup: 0.281 time: 5.6115 data_time: 0.7997 lr: 0.016 max_mem: 18367M [10/25 08:53:32] d2.utils.events INFO: eta: 1 day, 8:09:26 iter: 11379 total_loss: 2 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04711 loss_box_reg_sup: 0.3894 loss_rpn_cls_sup: 0.03734 loss_rpn_loc_sup: 0.3099 loss_cls_unsup: 0.2813 loss_box_reg_unsup: 0.3309 loss_rpn_cls_unsup: 0.3154 loss_rpn_loc_unsup: 0.2966 time: 5.6126 data_time: 0.7917 lr: 0.016 max_mem: 18367M [10/25 08:55:37] d2.utils.events INFO: eta: 1 day, 8:07:24 iter: 11399 total_loss: 2.005 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04556 loss_box_reg_sup: 0.3899 loss_rpn_cls_sup: 0.04162 loss_rpn_loc_sup: 0.3281 loss_cls_unsup: 0.2722 loss_box_reg_unsup: 0.3392 loss_rpn_cls_unsup: 0.3083 loss_rpn_loc_unsup: 0.3044 time: 5.6137 data_time: 0.8118 lr: 0.016 max_mem: 18367M [10/25 08:57:40] d2.utils.events INFO: eta: 1 day, 8:05:17 iter: 11419 total_loss: 2.061 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0375 loss_box_reg_sup: 0.3527 loss_rpn_cls_sup: 0.03664 loss_rpn_loc_sup: 0.3249 loss_cls_unsup: 0.2874 loss_box_reg_unsup: 0.3459 loss_rpn_cls_unsup: 0.308 loss_rpn_loc_unsup: 0.2844 time: 5.6146 data_time: 0.7872 lr: 0.016 max_mem: 18367M [10/25 08:59:43] d2.utils.events INFO: eta: 1 day, 8:02:59 iter: 11439 total_loss: 1.915 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03846 loss_box_reg_sup: 0.3702 loss_rpn_cls_sup: 0.03614 loss_rpn_loc_sup: 0.2982 loss_cls_unsup: 0.2722 loss_box_reg_unsup: 0.331 loss_rpn_cls_unsup: 0.3026 loss_rpn_loc_unsup: 0.2907 time: 5.6156 data_time: 0.8019 lr: 0.016 max_mem: 18367M [10/25 09:01:48] d2.utils.events INFO: eta: 1 day, 8:00:29 iter: 11459 total_loss: 1.979 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04703 loss_box_reg_sup: 0.3695 loss_rpn_cls_sup: 0.04149 loss_rpn_loc_sup: 0.3136 loss_cls_unsup: 0.2794 loss_box_reg_unsup: 0.3361 loss_rpn_cls_unsup: 0.3187 loss_rpn_loc_unsup: 0.291 time: 5.6166 data_time: 0.7974 lr: 0.016 max_mem: 18367M [10/25 09:03:52] d2.utils.events INFO: eta: 1 day, 7:58:25 iter: 11479 total_loss: 1.955 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04499 loss_box_reg_sup: 0.3556 loss_rpn_cls_sup: 0.03783 loss_rpn_loc_sup: 0.3172 loss_cls_unsup: 0.2673 loss_box_reg_unsup: 0.352 loss_rpn_cls_unsup: 0.2926 loss_rpn_loc_unsup: 0.2911 time: 5.6177 data_time: 0.8120 lr: 0.016 max_mem: 18367M [10/25 09:05:57] d2.utils.events INFO: eta: 1 day, 7:55:49 iter: 11499 total_loss: 2.031 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04486 loss_box_reg_sup: 0.3848 loss_rpn_cls_sup: 0.04177 loss_rpn_loc_sup: 0.3273 loss_cls_unsup: 0.2813 loss_box_reg_unsup: 0.3362 loss_rpn_cls_unsup: 0.3145 loss_rpn_loc_unsup: 0.2861 time: 5.6188 data_time: 0.7944 lr: 0.016 max_mem: 18367M [10/25 09:08:02] d2.utils.events INFO: eta: 1 day, 7:54:09 iter: 11519 total_loss: 2.017 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0435 loss_box_reg_sup: 0.3865 loss_rpn_cls_sup: 0.03578 loss_rpn_loc_sup: 0.3234 loss_cls_unsup: 0.2795 loss_box_reg_unsup: 0.3308 loss_rpn_cls_unsup: 0.3047 loss_rpn_loc_unsup: 0.3219 time: 5.6198 data_time: 0.8048 lr: 0.016 max_mem: 18367M [10/25 09:10:06] d2.utils.events INFO: eta: 1 day, 7:51:56 iter: 11539 total_loss: 2.015 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04566 loss_box_reg_sup: 0.3668 loss_rpn_cls_sup: 0.03903 loss_rpn_loc_sup: 0.3133 loss_cls_unsup: 0.276 loss_box_reg_unsup: 0.3545 loss_rpn_cls_unsup: 0.2951 loss_rpn_loc_unsup: 0.2961 time: 5.6208 data_time: 0.8272 lr: 0.016 max_mem: 18367M [10/25 09:12:10] d2.utils.events INFO: eta: 1 day, 7:49:47 iter: 11559 total_loss: 1.951 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03943 loss_box_reg_sup: 0.3497 loss_rpn_cls_sup: 0.03417 loss_rpn_loc_sup: 0.2949 loss_cls_unsup: 0.2749 loss_box_reg_unsup: 0.3569 loss_rpn_cls_unsup: 0.3072 loss_rpn_loc_unsup: 0.2719 time: 5.6219 data_time: 0.8155 lr: 0.016 max_mem: 18367M [10/25 09:14:13] d2.utils.events INFO: eta: 1 day, 7:47:08 iter: 11579 total_loss: 2.004 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.043 loss_box_reg_sup: 0.3716 loss_rpn_cls_sup: 0.0347 loss_rpn_loc_sup: 0.3032 loss_cls_unsup: 0.2991 loss_box_reg_unsup: 0.3539 loss_rpn_cls_unsup: 0.3163 loss_rpn_loc_unsup: 0.2844 time: 5.6228 data_time: 0.8031 lr: 0.016 max_mem: 18367M [10/25 09:16:24] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 09:16:24] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 09:16:24] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 09:16:24] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 09:16:25] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0371 s/iter. Eval: 0.0005 s/iter. Total: 0.0384 s/iter. ETA=0:03:21 [10/25 09:16:30] d2.evaluation.evaluator INFO: Inference done 130/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:03:34 [10/25 09:16:35] d2.evaluation.evaluator INFO: Inference done 255/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:03:25 [10/25 09:16:40] d2.evaluation.evaluator INFO: Inference done 371/5258. Dataloading: 0.0010 s/iter. 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ETA=0:02:57 [10/25 09:17:10] d2.evaluation.evaluator INFO: Inference done 1106/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0413 s/iter. ETA=0:02:51 [10/25 09:17:15] d2.evaluation.evaluator INFO: Inference done 1226/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:02:46 [10/25 09:17:20] d2.evaluation.evaluator INFO: Inference done 1345/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:02:42 [10/25 09:17:25] d2.evaluation.evaluator INFO: Inference done 1470/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0005 s/iter. Total: 0.0413 s/iter. ETA=0:02:36 [10/25 09:17:30] d2.evaluation.evaluator INFO: Inference done 1585/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:02:32 [10/25 09:17:35] d2.evaluation.evaluator INFO: Inference done 1708/5258. 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ETA=0:01:38 [10/25 09:18:30] d2.evaluation.evaluator INFO: Inference done 3016/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:01:33 [10/25 09:18:35] d2.evaluation.evaluator INFO: Inference done 3135/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:01:28 [10/25 09:18:40] d2.evaluation.evaluator INFO: Inference done 3259/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:01:23 [10/25 09:18:46] d2.evaluation.evaluator INFO: Inference done 3378/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:01:18 [10/25 09:18:51] d2.evaluation.evaluator INFO: Inference done 3502/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:01:13 [10/25 09:18:56] d2.evaluation.evaluator INFO: Inference done 3628/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:01:07 [10/25 09:19:01] d2.evaluation.evaluator INFO: Inference done 3744/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:01:03 [10/25 09:19:06] d2.evaluation.evaluator INFO: Inference done 3866/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:00:58 [10/25 09:19:11] d2.evaluation.evaluator INFO: Inference done 3982/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:00:53 [10/25 09:19:16] d2.evaluation.evaluator INFO: Inference done 4102/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:00:48 [10/25 09:19:21] d2.evaluation.evaluator INFO: Inference done 4226/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. 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ETA=0:00:17 [10/25 09:19:51] d2.evaluation.evaluator INFO: Inference done 4968/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:00:12 [10/25 09:19:56] d2.evaluation.evaluator INFO: Inference done 5096/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:00:06 [10/25 09:20:01] d2.evaluation.evaluator INFO: Inference done 5215/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:00:01 [10/25 09:20:03] d2.evaluation.evaluator INFO: Total inference time: 0:03:37.970173 (0.041494 s / iter per device, on 1 devices) [10/25 09:20:03] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:29 (0.039914 s / iter per device, on 1 devices) [10/25 09:20:03] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 09:21:27] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 09:21:27] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 09:21:27] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 09:21:27] d2.evaluation.testing INFO: copypaste: 6.1150,12.9658,5.4755 [10/25 09:21:29] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 09:21:29] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 09:21:29] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 09:21:29] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 09:21:30] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0011 s/iter. Inference: 0.0499 s/iter. Eval: 0.0006 s/iter. Total: 0.0517 s/iter. ETA=0:04:31 [10/25 09:21:35] d2.evaluation.evaluator INFO: Inference done 108/5258. Dataloading: 0.0016 s/iter. Inference: 0.0497 s/iter. Eval: 0.0004 s/iter. Total: 0.0517 s/iter. ETA=0:04:26 [10/25 09:21:40] d2.evaluation.evaluator INFO: Inference done 208/5258. Dataloading: 0.0013 s/iter. Inference: 0.0492 s/iter. Eval: 0.0004 s/iter. Total: 0.0511 s/iter. ETA=0:04:17 [10/25 09:21:45] d2.evaluation.evaluator INFO: Inference done 308/5258. Dataloading: 0.0012 s/iter. Inference: 0.0490 s/iter. Eval: 0.0004 s/iter. Total: 0.0507 s/iter. ETA=0:04:11 [10/25 09:21:50] d2.evaluation.evaluator INFO: Inference done 411/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0004 s/iter. Total: 0.0503 s/iter. ETA=0:04:03 [10/25 09:21:55] d2.evaluation.evaluator INFO: Inference done 511/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0004 s/iter. Total: 0.0502 s/iter. ETA=0:03:58 [10/25 09:22:00] d2.evaluation.evaluator INFO: Inference done 613/5258. 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ETA=0:00:19 [10/25 09:25:36] d2.evaluation.evaluator INFO: Inference done 4976/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:00:13 [10/25 09:25:41] d2.evaluation.evaluator INFO: Inference done 5077/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:00:08 [10/25 09:25:46] d2.evaluation.evaluator INFO: Inference done 5179/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:00:03 [10/25 09:25:50] d2.evaluation.evaluator INFO: Total inference time: 0:04:20.425650 (0.049577 s / iter per device, on 1 devices) [10/25 09:25:50] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:12 (0.048056 s / iter per device, on 1 devices) [10/25 09:25:50] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 09:26:50] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 09:26:50] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 09:26:50] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 09:26:50] d2.evaluation.testing INFO: copypaste: 6.4696,13.4903,5.8775 [10/25 09:26:50] d2.utils.events INFO: eta: 1 day, 7:44:47 iter: 11599 total_loss: 1.966 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04423 loss_box_reg_sup: 0.3734 loss_rpn_cls_sup: 0.03838 loss_rpn_loc_sup: 0.3209 loss_cls_unsup: 0.2861 loss_box_reg_unsup: 0.3376 loss_rpn_cls_unsup: 0.2934 loss_rpn_loc_unsup: 0.2622 time: 5.6238 data_time: 0.8175 lr: 0.016 max_mem: 18367M [10/25 09:28:55] d2.utils.events INFO: eta: 1 day, 7:43:06 iter: 11619 total_loss: 1.938 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04201 loss_box_reg_sup: 0.3493 loss_rpn_cls_sup: 0.0375 loss_rpn_loc_sup: 0.2996 loss_cls_unsup: 0.2694 loss_box_reg_unsup: 0.3524 loss_rpn_cls_unsup: 0.3175 loss_rpn_loc_unsup: 0.2739 time: 5.6249 data_time: 0.8384 lr: 0.016 max_mem: 18367M [10/25 09:31:05] d2.utils.events INFO: eta: 1 day, 7:41:15 iter: 11639 total_loss: 1.991 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04303 loss_box_reg_sup: 0.3741 loss_rpn_cls_sup: 0.03942 loss_rpn_loc_sup: 0.3305 loss_cls_unsup: 0.2827 loss_box_reg_unsup: 0.3538 loss_rpn_cls_unsup: 0.3146 loss_rpn_loc_unsup: 0.2943 time: 5.6264 data_time: 0.8248 lr: 0.016 max_mem: 18367M [10/25 09:33:09] d2.utils.events INFO: eta: 1 day, 7:39:17 iter: 11659 total_loss: 2.01 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04183 loss_box_reg_sup: 0.3524 loss_rpn_cls_sup: 0.03858 loss_rpn_loc_sup: 0.3242 loss_cls_unsup: 0.291 loss_box_reg_unsup: 0.3416 loss_rpn_cls_unsup: 0.3143 loss_rpn_loc_unsup: 0.2817 time: 5.6274 data_time: 0.8524 lr: 0.016 max_mem: 18367M [10/25 09:35:19] d2.utils.events INFO: eta: 1 day, 7:36:44 iter: 11679 total_loss: 1.968 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04127 loss_box_reg_sup: 0.368 loss_rpn_cls_sup: 0.03606 loss_rpn_loc_sup: 0.311 loss_cls_unsup: 0.2716 loss_box_reg_unsup: 0.346 loss_rpn_cls_unsup: 0.3161 loss_rpn_loc_unsup: 0.2809 time: 5.6289 data_time: 0.8034 lr: 0.016 max_mem: 18367M [10/25 09:37:29] d2.utils.events INFO: eta: 1 day, 7:34:58 iter: 11699 total_loss: 1.991 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04014 loss_box_reg_sup: 0.3593 loss_rpn_cls_sup: 0.03941 loss_rpn_loc_sup: 0.3157 loss_cls_unsup: 0.2829 loss_box_reg_unsup: 0.351 loss_rpn_cls_unsup: 0.3174 loss_rpn_loc_unsup: 0.3013 time: 5.6304 data_time: 0.8313 lr: 0.016 max_mem: 18367M [10/25 09:39:41] d2.utils.events INFO: eta: 1 day, 7:33:13 iter: 11719 total_loss: 2.054 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04523 loss_box_reg_sup: 0.3489 loss_rpn_cls_sup: 0.04158 loss_rpn_loc_sup: 0.328 loss_cls_unsup: 0.283 loss_box_reg_unsup: 0.3408 loss_rpn_cls_unsup: 0.3281 loss_rpn_loc_unsup: 0.2959 time: 5.6321 data_time: 0.7909 lr: 0.016 max_mem: 18367M [10/25 09:41:46] d2.utils.events INFO: eta: 1 day, 7:30:53 iter: 11739 total_loss: 2.039 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04553 loss_box_reg_sup: 0.4074 loss_rpn_cls_sup: 0.03857 loss_rpn_loc_sup: 0.3124 loss_cls_unsup: 0.2922 loss_box_reg_unsup: 0.3498 loss_rpn_cls_unsup: 0.3227 loss_rpn_loc_unsup: 0.2841 time: 5.6331 data_time: 0.7892 lr: 0.016 max_mem: 18367M [10/25 09:43:51] d2.utils.events INFO: eta: 1 day, 7:28:40 iter: 11759 total_loss: 2.02 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04123 loss_box_reg_sup: 0.3495 loss_rpn_cls_sup: 0.033 loss_rpn_loc_sup: 0.2938 loss_cls_unsup: 0.2855 loss_box_reg_unsup: 0.3508 loss_rpn_cls_unsup: 0.3081 loss_rpn_loc_unsup: 0.3044 time: 5.6342 data_time: 0.8521 lr: 0.016 max_mem: 18367M [10/25 09:45:56] d2.utils.events INFO: eta: 1 day, 7:26:03 iter: 11779 total_loss: 1.915 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04261 loss_box_reg_sup: 0.349 loss_rpn_cls_sup: 0.03636 loss_rpn_loc_sup: 0.3088 loss_cls_unsup: 0.2945 loss_box_reg_unsup: 0.3472 loss_rpn_cls_unsup: 0.2883 loss_rpn_loc_unsup: 0.2487 time: 5.6352 data_time: 0.8046 lr: 0.016 max_mem: 18367M [10/25 09:48:01] d2.utils.events INFO: eta: 1 day, 7:23:44 iter: 11799 total_loss: 2.031 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04617 loss_box_reg_sup: 0.3644 loss_rpn_cls_sup: 0.03987 loss_rpn_loc_sup: 0.3434 loss_cls_unsup: 0.2734 loss_box_reg_unsup: 0.3512 loss_rpn_cls_unsup: 0.3101 loss_rpn_loc_unsup: 0.2921 time: 5.6362 data_time: 0.7999 lr: 0.016 max_mem: 18367M [10/25 09:50:07] d2.utils.events INFO: eta: 1 day, 7:21:55 iter: 11819 total_loss: 1.989 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04035 loss_box_reg_sup: 0.3565 loss_rpn_cls_sup: 0.03421 loss_rpn_loc_sup: 0.319 loss_cls_unsup: 0.2683 loss_box_reg_unsup: 0.3437 loss_rpn_cls_unsup: 0.3042 loss_rpn_loc_unsup: 0.2736 time: 5.6373 data_time: 0.8531 lr: 0.016 max_mem: 18367M [10/25 09:52:14] d2.utils.events INFO: eta: 1 day, 7:20:15 iter: 11839 total_loss: 2.052 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04049 loss_box_reg_sup: 0.3809 loss_rpn_cls_sup: 0.03552 loss_rpn_loc_sup: 0.3038 loss_cls_unsup: 0.2992 loss_box_reg_unsup: 0.3519 loss_rpn_cls_unsup: 0.3069 loss_rpn_loc_unsup: 0.3105 time: 5.6386 data_time: 0.8453 lr: 0.016 max_mem: 18367M [10/25 09:54:19] d2.utils.events INFO: eta: 1 day, 7:17:56 iter: 11859 total_loss: 1.94 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04264 loss_box_reg_sup: 0.3655 loss_rpn_cls_sup: 0.04057 loss_rpn_loc_sup: 0.3126 loss_cls_unsup: 0.2693 loss_box_reg_unsup: 0.3246 loss_rpn_cls_unsup: 0.3013 loss_rpn_loc_unsup: 0.253 time: 5.6396 data_time: 0.8605 lr: 0.016 max_mem: 18367M [10/25 09:56:24] d2.utils.events INFO: eta: 1 day, 7:15:44 iter: 11879 total_loss: 1.977 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04445 loss_box_reg_sup: 0.3758 loss_rpn_cls_sup: 0.0377 loss_rpn_loc_sup: 0.3195 loss_cls_unsup: 0.2711 loss_box_reg_unsup: 0.3481 loss_rpn_cls_unsup: 0.2912 loss_rpn_loc_unsup: 0.2806 time: 5.6406 data_time: 0.8182 lr: 0.016 max_mem: 18367M [10/25 09:58:27] d2.utils.events INFO: eta: 1 day, 7:13:38 iter: 11899 total_loss: 1.976 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04046 loss_box_reg_sup: 0.3711 loss_rpn_cls_sup: 0.03535 loss_rpn_loc_sup: 0.3229 loss_cls_unsup: 0.2868 loss_box_reg_unsup: 0.3446 loss_rpn_cls_unsup: 0.3188 loss_rpn_loc_unsup: 0.2687 time: 5.6415 data_time: 0.8131 lr: 0.016 max_mem: 18367M [10/25 10:00:38] d2.utils.events INFO: eta: 1 day, 7:11:53 iter: 11919 total_loss: 2.101 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04328 loss_box_reg_sup: 0.3935 loss_rpn_cls_sup: 0.03743 loss_rpn_loc_sup: 0.3082 loss_cls_unsup: 0.285 loss_box_reg_unsup: 0.3357 loss_rpn_cls_unsup: 0.3174 loss_rpn_loc_unsup: 0.2901 time: 5.6430 data_time: 0.8239 lr: 0.016 max_mem: 18367M [10/25 10:02:43] d2.utils.events INFO: eta: 1 day, 7:10:02 iter: 11939 total_loss: 2.015 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04098 loss_box_reg_sup: 0.346 loss_rpn_cls_sup: 0.03552 loss_rpn_loc_sup: 0.3214 loss_cls_unsup: 0.2736 loss_box_reg_unsup: 0.3539 loss_rpn_cls_unsup: 0.3206 loss_rpn_loc_unsup: 0.3228 time: 5.6440 data_time: 0.8292 lr: 0.016 max_mem: 18367M [10/25 10:04:48] d2.utils.events INFO: eta: 1 day, 7:08:09 iter: 11959 total_loss: 2.126 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04397 loss_box_reg_sup: 0.3723 loss_rpn_cls_sup: 0.03809 loss_rpn_loc_sup: 0.3157 loss_cls_unsup: 0.2839 loss_box_reg_unsup: 0.3655 loss_rpn_cls_unsup: 0.3256 loss_rpn_loc_unsup: 0.3554 time: 5.6450 data_time: 0.8082 lr: 0.016 max_mem: 18367M [10/25 10:06:52] d2.utils.events INFO: eta: 1 day, 7:06:08 iter: 11979 total_loss: 2.025 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04595 loss_box_reg_sup: 0.3858 loss_rpn_cls_sup: 0.03728 loss_rpn_loc_sup: 0.3266 loss_cls_unsup: 0.2715 loss_box_reg_unsup: 0.3463 loss_rpn_cls_unsup: 0.3087 loss_rpn_loc_unsup: 0.2995 time: 5.6459 data_time: 0.8038 lr: 0.016 max_mem: 18367M [10/25 10:08:58] fvcore.common.checkpoint INFO: Saving checkpoint to ./output/k2bdd/model_0011999.pth [10/25 10:09:05] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 10:09:05] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 10:09:05] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 10:09:05] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 10:09:06] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0425 s/iter. Eval: 0.0004 s/iter. Total: 0.0437 s/iter. ETA=0:03:49 [10/25 10:09:11] d2.evaluation.evaluator INFO: Inference done 124/5258. Dataloading: 0.0012 s/iter. Inference: 0.0428 s/iter. Eval: 0.0004 s/iter. Total: 0.0444 s/iter. ETA=0:03:48 [10/25 10:09:16] d2.evaluation.evaluator INFO: Inference done 241/5258. Dataloading: 0.0011 s/iter. Inference: 0.0421 s/iter. Eval: 0.0004 s/iter. Total: 0.0436 s/iter. ETA=0:03:38 [10/25 10:09:21] d2.evaluation.evaluator INFO: Inference done 361/5258. Dataloading: 0.0011 s/iter. 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ETA=0:02:59 [10/25 10:09:51] d2.evaluation.evaluator INFO: Inference done 1091/5258. Dataloading: 0.0012 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:02:54 [10/25 10:09:56] d2.evaluation.evaluator INFO: Inference done 1217/5258. Dataloading: 0.0012 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:02:48 [10/25 10:10:01] d2.evaluation.evaluator INFO: Inference done 1334/5258. Dataloading: 0.0012 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:02:44 [10/25 10:10:06] d2.evaluation.evaluator INFO: Inference done 1454/5258. Dataloading: 0.0012 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:02:39 [10/25 10:10:11] d2.evaluation.evaluator INFO: Inference done 1579/5258. Dataloading: 0.0012 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:02:33 [10/25 10:10:16] d2.evaluation.evaluator INFO: Inference done 1704/5258. 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ETA=0:00:12 [10/25 10:12:32] d2.evaluation.evaluator INFO: Inference done 5064/5258. Dataloading: 0.0011 s/iter. Inference: 0.0393 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:00:07 [10/25 10:12:37] d2.evaluation.evaluator INFO: Inference done 5182/5258. Dataloading: 0.0011 s/iter. Inference: 0.0393 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:00:03 [10/25 10:12:40] d2.evaluation.evaluator INFO: Total inference time: 0:03:34.189548 (0.040775 s / iter per device, on 1 devices) [10/25 10:12:40] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:26 (0.039307 s / iter per device, on 1 devices) [10/25 10:12:40] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 10:13:29] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 10:13:29] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 10:13:29] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 10:13:29] d2.evaluation.testing INFO: copypaste: 6.2220,13.1610,5.5383 [10/25 10:13:31] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 10:13:31] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 10:13:31] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 10:13:31] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 10:13:32] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:04:19 [10/25 10:13:37] d2.evaluation.evaluator INFO: Inference done 114/5258. Dataloading: 0.0011 s/iter. Inference: 0.0474 s/iter. Eval: 0.0004 s/iter. Total: 0.0489 s/iter. ETA=0:04:11 [10/25 10:13:42] d2.evaluation.evaluator INFO: Inference done 216/5258. Dataloading: 0.0011 s/iter. Inference: 0.0474 s/iter. Eval: 0.0004 s/iter. Total: 0.0490 s/iter. ETA=0:04:07 [10/25 10:13:47] d2.evaluation.evaluator INFO: Inference done 319/5258. Dataloading: 0.0010 s/iter. Inference: 0.0474 s/iter. Eval: 0.0004 s/iter. Total: 0.0490 s/iter. ETA=0:04:01 [10/25 10:13:52] d2.evaluation.evaluator INFO: Inference done 420/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0004 s/iter. Total: 0.0491 s/iter. ETA=0:03:57 [10/25 10:13:57] d2.evaluation.evaluator INFO: Inference done 523/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0004 s/iter. Total: 0.0490 s/iter. ETA=0:03:52 [10/25 10:14:02] d2.evaluation.evaluator INFO: Inference done 625/5258. 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ETA=0:01:38 [10/25 10:16:18] d2.evaluation.evaluator INFO: Inference done 3372/5258. Dataloading: 0.0011 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:01:33 [10/25 10:16:23] d2.evaluation.evaluator INFO: Inference done 3473/5258. Dataloading: 0.0011 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:01:28 [10/25 10:16:28] d2.evaluation.evaluator INFO: Inference done 3574/5258. Dataloading: 0.0011 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:01:23 [10/25 10:16:33] d2.evaluation.evaluator INFO: Inference done 3677/5258. Dataloading: 0.0011 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:01:17 [10/25 10:16:38] d2.evaluation.evaluator INFO: Inference done 3778/5258. Dataloading: 0.0011 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:01:13 [10/25 10:16:43] d2.evaluation.evaluator INFO: Inference done 3880/5258. Dataloading: 0.0011 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:01:07 [10/25 10:16:48] d2.evaluation.evaluator INFO: Inference done 3981/5258. Dataloading: 0.0011 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:01:03 [10/25 10:16:53] d2.evaluation.evaluator INFO: Inference done 4083/5258. Dataloading: 0.0011 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:00:57 [10/25 10:16:58] d2.evaluation.evaluator INFO: Inference done 4185/5258. Dataloading: 0.0011 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:00:52 [10/25 10:17:03] d2.evaluation.evaluator INFO: Inference done 4287/5258. Dataloading: 0.0011 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:00:47 [10/25 10:17:08] d2.evaluation.evaluator INFO: Inference done 4388/5258. Dataloading: 0.0011 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. 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ETA=0:00:17 [10/25 10:17:38] d2.evaluation.evaluator INFO: Inference done 4995/5258. Dataloading: 0.0011 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:12 [10/25 10:17:43] d2.evaluation.evaluator INFO: Inference done 5097/5258. Dataloading: 0.0011 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:07 [10/25 10:17:48] d2.evaluation.evaluator INFO: Inference done 5198/5258. Dataloading: 0.0011 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:02 [10/25 10:17:51] d2.evaluation.evaluator INFO: Total inference time: 0:04:19.448068 (0.049390 s / iter per device, on 1 devices) [10/25 10:17:51] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:11 (0.047843 s / iter per device, on 1 devices) [10/25 10:17:51] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 10:18:50] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 10:18:50] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 10:18:50] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 10:18:50] d2.evaluation.testing INFO: copypaste: 6.4984,13.6422,5.9451 [10/25 10:18:50] d2.utils.events INFO: eta: 1 day, 7:04:19 iter: 11999 total_loss: 2.027 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04108 loss_box_reg_sup: 0.3559 loss_rpn_cls_sup: 0.03546 loss_rpn_loc_sup: 0.3034 loss_cls_unsup: 0.28 loss_box_reg_unsup: 0.3591 loss_rpn_cls_unsup: 0.2962 loss_rpn_loc_unsup: 0.3 time: 5.6470 data_time: 0.8106 lr: 0.016 max_mem: 18367M [10/25 10:20:54] d2.utils.events INFO: eta: 1 day, 7:02:15 iter: 12019 total_loss: 1.973 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03878 loss_box_reg_sup: 0.364 loss_rpn_cls_sup: 0.03462 loss_rpn_loc_sup: 0.2986 loss_cls_unsup: 0.2833 loss_box_reg_unsup: 0.3318 loss_rpn_cls_unsup: 0.3066 loss_rpn_loc_unsup: 0.2912 time: 5.6479 data_time: 0.7979 lr: 0.016 max_mem: 18367M [10/25 10:22:58] d2.utils.events INFO: eta: 1 day, 6:59:52 iter: 12039 total_loss: 1.925 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03846 loss_box_reg_sup: 0.3351 loss_rpn_cls_sup: 0.03243 loss_rpn_loc_sup: 0.2969 loss_cls_unsup: 0.2762 loss_box_reg_unsup: 0.3363 loss_rpn_cls_unsup: 0.3026 loss_rpn_loc_unsup: 0.3194 time: 5.6488 data_time: 0.7736 lr: 0.016 max_mem: 18367M [10/25 10:25:04] d2.utils.events INFO: eta: 1 day, 6:58:06 iter: 12059 total_loss: 2.024 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04128 loss_box_reg_sup: 0.3268 loss_rpn_cls_sup: 0.03424 loss_rpn_loc_sup: 0.3033 loss_cls_unsup: 0.2739 loss_box_reg_unsup: 0.355 loss_rpn_cls_unsup: 0.3169 loss_rpn_loc_unsup: 0.3625 time: 5.6499 data_time: 0.8238 lr: 0.016 max_mem: 18367M [10/25 10:27:10] d2.utils.events INFO: eta: 1 day, 6:55:47 iter: 12079 total_loss: 2.089 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04202 loss_box_reg_sup: 0.3575 loss_rpn_cls_sup: 0.03799 loss_rpn_loc_sup: 0.3187 loss_cls_unsup: 0.2866 loss_box_reg_unsup: 0.3549 loss_rpn_cls_unsup: 0.3065 loss_rpn_loc_unsup: 0.3309 time: 5.6509 data_time: 0.8055 lr: 0.016 max_mem: 18367M [10/25 10:29:14] d2.utils.events INFO: eta: 1 day, 6:53:42 iter: 12099 total_loss: 2.063 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04475 loss_box_reg_sup: 0.3563 loss_rpn_cls_sup: 0.03595 loss_rpn_loc_sup: 0.3002 loss_cls_unsup: 0.2666 loss_box_reg_unsup: 0.3489 loss_rpn_cls_unsup: 0.3237 loss_rpn_loc_unsup: 0.3454 time: 5.6519 data_time: 0.7837 lr: 0.016 max_mem: 18367M [10/25 10:31:19] d2.utils.events INFO: eta: 1 day, 6:51:38 iter: 12119 total_loss: 2.05 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04277 loss_box_reg_sup: 0.3692 loss_rpn_cls_sup: 0.03963 loss_rpn_loc_sup: 0.3171 loss_cls_unsup: 0.2876 loss_box_reg_unsup: 0.3565 loss_rpn_cls_unsup: 0.3035 loss_rpn_loc_unsup: 0.2727 time: 5.6529 data_time: 0.8127 lr: 0.016 max_mem: 18367M [10/25 10:33:23] d2.utils.events INFO: eta: 1 day, 6:49:54 iter: 12139 total_loss: 2.092 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04156 loss_box_reg_sup: 0.3912 loss_rpn_cls_sup: 0.03342 loss_rpn_loc_sup: 0.3384 loss_cls_unsup: 0.2719 loss_box_reg_unsup: 0.3744 loss_rpn_cls_unsup: 0.3057 loss_rpn_loc_unsup: 0.3095 time: 5.6538 data_time: 0.7886 lr: 0.016 max_mem: 18367M [10/25 10:35:29] d2.utils.events INFO: eta: 1 day, 6:47:50 iter: 12159 total_loss: 1.968 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04498 loss_box_reg_sup: 0.3499 loss_rpn_cls_sup: 0.03754 loss_rpn_loc_sup: 0.3148 loss_cls_unsup: 0.2818 loss_box_reg_unsup: 0.3655 loss_rpn_cls_unsup: 0.2972 loss_rpn_loc_unsup: 0.2767 time: 5.6548 data_time: 0.8185 lr: 0.016 max_mem: 18367M [10/25 10:37:34] d2.utils.events INFO: eta: 1 day, 6:45:41 iter: 12179 total_loss: 2.072 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04507 loss_box_reg_sup: 0.399 loss_rpn_cls_sup: 0.0353 loss_rpn_loc_sup: 0.3244 loss_cls_unsup: 0.2769 loss_box_reg_unsup: 0.385 loss_rpn_cls_unsup: 0.3007 loss_rpn_loc_unsup: 0.2991 time: 5.6558 data_time: 0.8151 lr: 0.016 max_mem: 18367M [10/25 10:39:40] d2.utils.events INFO: eta: 1 day, 6:43:41 iter: 12199 total_loss: 1.98 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04263 loss_box_reg_sup: 0.3777 loss_rpn_cls_sup: 0.03862 loss_rpn_loc_sup: 0.3205 loss_cls_unsup: 0.2829 loss_box_reg_unsup: 0.3533 loss_rpn_cls_unsup: 0.3013 loss_rpn_loc_unsup: 0.2914 time: 5.6568 data_time: 0.7838 lr: 0.016 max_mem: 18367M [10/25 10:41:44] d2.utils.events INFO: eta: 1 day, 6:41:42 iter: 12219 total_loss: 2.047 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04374 loss_box_reg_sup: 0.3598 loss_rpn_cls_sup: 0.03833 loss_rpn_loc_sup: 0.3241 loss_cls_unsup: 0.2864 loss_box_reg_unsup: 0.3658 loss_rpn_cls_unsup: 0.3081 loss_rpn_loc_unsup: 0.3175 time: 5.6577 data_time: 0.7888 lr: 0.016 max_mem: 18367M [10/25 10:43:49] d2.utils.events INFO: eta: 1 day, 6:39:38 iter: 12239 total_loss: 2.041 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04129 loss_box_reg_sup: 0.4059 loss_rpn_cls_sup: 0.03736 loss_rpn_loc_sup: 0.3213 loss_cls_unsup: 0.2883 loss_box_reg_unsup: 0.3398 loss_rpn_cls_unsup: 0.3137 loss_rpn_loc_unsup: 0.2857 time: 5.6587 data_time: 0.8101 lr: 0.016 max_mem: 18367M [10/25 10:45:54] d2.utils.events INFO: eta: 1 day, 6:37:42 iter: 12259 total_loss: 2.07 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04239 loss_box_reg_sup: 0.3583 loss_rpn_cls_sup: 0.03723 loss_rpn_loc_sup: 0.3297 loss_cls_unsup: 0.2824 loss_box_reg_unsup: 0.3564 loss_rpn_cls_unsup: 0.3311 loss_rpn_loc_unsup: 0.3475 time: 5.6597 data_time: 0.8025 lr: 0.016 max_mem: 18367M [10/25 10:48:00] d2.utils.events INFO: eta: 1 day, 6:36:01 iter: 12279 total_loss: 2.142 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04419 loss_box_reg_sup: 0.3937 loss_rpn_cls_sup: 0.03687 loss_rpn_loc_sup: 0.3221 loss_cls_unsup: 0.2865 loss_box_reg_unsup: 0.3528 loss_rpn_cls_unsup: 0.3046 loss_rpn_loc_unsup: 0.3387 time: 5.6607 data_time: 0.8245 lr: 0.016 max_mem: 18367M [10/25 10:50:04] d2.utils.events INFO: eta: 1 day, 6:33:39 iter: 12299 total_loss: 2.05 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0422 loss_box_reg_sup: 0.3977 loss_rpn_cls_sup: 0.03733 loss_rpn_loc_sup: 0.3147 loss_cls_unsup: 0.2839 loss_box_reg_unsup: 0.339 loss_rpn_cls_unsup: 0.3177 loss_rpn_loc_unsup: 0.3221 time: 5.6616 data_time: 0.7818 lr: 0.016 max_mem: 18367M [10/25 10:52:08] d2.utils.events INFO: eta: 1 day, 6:31:16 iter: 12319 total_loss: 1.956 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0422 loss_box_reg_sup: 0.3785 loss_rpn_cls_sup: 0.0352 loss_rpn_loc_sup: 0.3134 loss_cls_unsup: 0.2729 loss_box_reg_unsup: 0.3658 loss_rpn_cls_unsup: 0.2838 loss_rpn_loc_unsup: 0.2762 time: 5.6624 data_time: 0.8006 lr: 0.016 max_mem: 18367M [10/25 10:54:22] d2.utils.events INFO: eta: 1 day, 6:29:58 iter: 12339 total_loss: 2.051 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03872 loss_box_reg_sup: 0.3655 loss_rpn_cls_sup: 0.03524 loss_rpn_loc_sup: 0.3258 loss_cls_unsup: 0.2803 loss_box_reg_unsup: 0.381 loss_rpn_cls_unsup: 0.2976 loss_rpn_loc_unsup: 0.3223 time: 5.6641 data_time: 0.8112 lr: 0.016 max_mem: 18367M [10/25 10:56:36] d2.utils.events INFO: eta: 1 day, 6:27:29 iter: 12359 total_loss: 2.068 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04359 loss_box_reg_sup: 0.3929 loss_rpn_cls_sup: 0.03891 loss_rpn_loc_sup: 0.3224 loss_cls_unsup: 0.2816 loss_box_reg_unsup: 0.3605 loss_rpn_cls_unsup: 0.3103 loss_rpn_loc_unsup: 0.3138 time: 5.6658 data_time: 0.7766 lr: 0.016 max_mem: 18367M [10/25 10:58:42] d2.utils.events INFO: eta: 1 day, 6:25:29 iter: 12379 total_loss: 2.098 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04184 loss_box_reg_sup: 0.3586 loss_rpn_cls_sup: 0.03421 loss_rpn_loc_sup: 0.3234 loss_cls_unsup: 0.2841 loss_box_reg_unsup: 0.3703 loss_rpn_cls_unsup: 0.3066 loss_rpn_loc_unsup: 0.3211 time: 5.6668 data_time: 0.8298 lr: 0.016 max_mem: 18367M [10/25 11:01:01] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 11:01:01] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 11:01:01] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 11:01:01] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 11:01:02] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0011 s/iter. Inference: 0.0460 s/iter. Eval: 0.0004 s/iter. Total: 0.0475 s/iter. ETA=0:04:09 [10/25 11:01:08] d2.evaluation.evaluator INFO: Inference done 134/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:03:31 [10/25 11:01:13] d2.evaluation.evaluator INFO: Inference done 254/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:03:28 [10/25 11:01:18] d2.evaluation.evaluator INFO: Inference done 379/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:03:20 [10/25 11:01:23] d2.evaluation.evaluator INFO: Inference done 496/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:03:18 [10/25 11:01:28] d2.evaluation.evaluator INFO: Inference done 609/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0004 s/iter. Total: 0.0421 s/iter. ETA=0:03:15 [10/25 11:01:33] d2.evaluation.evaluator INFO: Inference done 732/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:03:09 [10/25 11:01:38] d2.evaluation.evaluator INFO: Inference done 854/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:03:04 [10/25 11:01:43] d2.evaluation.evaluator INFO: Inference done 972/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:02:59 [10/25 11:01:48] d2.evaluation.evaluator INFO: Inference done 1097/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:02:53 [10/25 11:01:53] d2.evaluation.evaluator INFO: Inference done 1209/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0004 s/iter. Total: 0.0420 s/iter. ETA=0:02:50 [10/25 11:01:58] d2.evaluation.evaluator INFO: Inference done 1333/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:02:44 [10/25 11:02:03] d2.evaluation.evaluator INFO: Inference done 1456/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:02:38 [10/25 11:02:08] d2.evaluation.evaluator INFO: Inference done 1581/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:02:33 [10/25 11:02:13] d2.evaluation.evaluator INFO: Inference done 1699/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:02:28 [10/25 11:02:18] d2.evaluation.evaluator INFO: Inference done 1817/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:02:23 [10/25 11:02:23] d2.evaluation.evaluator INFO: Inference done 1940/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:02:18 [10/25 11:02:28] d2.evaluation.evaluator INFO: Inference done 2058/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:02:13 [10/25 11:02:33] d2.evaluation.evaluator INFO: Inference done 2176/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:02:08 [10/25 11:02:38] d2.evaluation.evaluator INFO: Inference done 2294/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:02:04 [10/25 11:02:43] d2.evaluation.evaluator INFO: Inference done 2420/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:01:58 [10/25 11:02:48] d2.evaluation.evaluator INFO: Inference done 2548/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:01:52 [10/25 11:02:53] d2.evaluation.evaluator INFO: Inference done 2670/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:01:47 [10/25 11:02:58] d2.evaluation.evaluator INFO: Inference done 2789/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:01:42 [10/25 11:03:03] d2.evaluation.evaluator INFO: Inference done 2906/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:01:38 [10/25 11:03:08] d2.evaluation.evaluator INFO: Inference done 3029/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:01:32 [10/25 11:03:13] d2.evaluation.evaluator INFO: Inference done 3136/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:01:28 [10/25 11:03:18] d2.evaluation.evaluator INFO: Inference done 3256/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:01:23 [10/25 11:03:23] d2.evaluation.evaluator INFO: Inference done 3377/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:01:18 [10/25 11:03:28] d2.evaluation.evaluator INFO: Inference done 3500/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:01:13 [10/25 11:03:33] d2.evaluation.evaluator INFO: Inference done 3604/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0004 s/iter. Total: 0.0420 s/iter. ETA=0:01:09 [10/25 11:03:38] d2.evaluation.evaluator INFO: Inference done 3730/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:01:04 [10/25 11:03:43] d2.evaluation.evaluator INFO: Inference done 3847/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:00:59 [10/25 11:03:48] d2.evaluation.evaluator INFO: Inference done 3972/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:00:53 [10/25 11:03:53] d2.evaluation.evaluator INFO: Inference done 4097/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:00:48 [10/25 11:03:58] d2.evaluation.evaluator INFO: Inference done 4215/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:00:43 [10/25 11:04:03] d2.evaluation.evaluator INFO: Inference done 4337/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:00:38 [10/25 11:04:08] d2.evaluation.evaluator INFO: Inference done 4454/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:00:33 [10/25 11:04:13] d2.evaluation.evaluator INFO: Inference done 4576/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:00:28 [10/25 11:04:18] d2.evaluation.evaluator INFO: Inference done 4703/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:00:23 [10/25 11:04:23] d2.evaluation.evaluator INFO: Inference done 4820/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:00:18 [10/25 11:04:28] d2.evaluation.evaluator INFO: Inference done 4944/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:00:13 [10/25 11:04:33] d2.evaluation.evaluator INFO: Inference done 5069/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:00:07 [10/25 11:04:38] d2.evaluation.evaluator INFO: Inference done 5187/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:00:02 [10/25 11:04:41] d2.evaluation.evaluator INFO: Total inference time: 0:03:39.056213 (0.041701 s / iter per device, on 1 devices) [10/25 11:04:41] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:31 (0.040201 s / iter per device, on 1 devices) [10/25 11:04:41] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 11:05:42] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 11:05:42] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 11:05:42] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 11:05:42] d2.evaluation.testing INFO: copypaste: 5.9522,12.6297,5.3156 [10/25 11:05:43] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 11:05:43] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 11:05:43] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 11:05:43] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 11:05:44] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:04:20 [10/25 11:05:49] d2.evaluation.evaluator INFO: Inference done 113/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:04:14 [10/25 11:05:54] d2.evaluation.evaluator INFO: Inference done 215/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:04:08 [10/25 11:06:00] d2.evaluation.evaluator INFO: Inference done 316/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:04:04 [10/25 11:06:05] d2.evaluation.evaluator INFO: Inference done 417/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:04:00 [10/25 11:06:10] d2.evaluation.evaluator INFO: Inference done 518/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:03:55 [10/25 11:06:15] d2.evaluation.evaluator INFO: Inference done 618/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:03:50 [10/25 11:06:20] d2.evaluation.evaluator INFO: Inference done 718/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0498 s/iter. ETA=0:03:45 [10/25 11:06:25] d2.evaluation.evaluator INFO: Inference done 819/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0498 s/iter. ETA=0:03:40 [10/25 11:06:30] d2.evaluation.evaluator INFO: Inference done 921/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:03:35 [10/25 11:06:35] d2.evaluation.evaluator INFO: Inference done 1021/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:03:30 [10/25 11:06:40] d2.evaluation.evaluator INFO: Inference done 1122/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0498 s/iter. ETA=0:03:25 [10/25 11:06:45] d2.evaluation.evaluator INFO: Inference done 1223/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:03:20 [10/25 11:06:50] d2.evaluation.evaluator INFO: Inference done 1321/5258. Dataloading: 0.0010 s/iter. Inference: 0.0484 s/iter. Eval: 0.0004 s/iter. Total: 0.0499 s/iter. ETA=0:03:16 [10/25 11:06:55] d2.evaluation.evaluator INFO: Inference done 1421/5258. Dataloading: 0.0010 s/iter. Inference: 0.0484 s/iter. Eval: 0.0004 s/iter. Total: 0.0499 s/iter. ETA=0:03:11 [10/25 11:07:00] d2.evaluation.evaluator INFO: Inference done 1524/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0498 s/iter. ETA=0:03:06 [10/25 11:07:05] d2.evaluation.evaluator INFO: Inference done 1628/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:03:00 [10/25 11:07:10] d2.evaluation.evaluator INFO: Inference done 1730/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:02:55 [10/25 11:07:15] d2.evaluation.evaluator INFO: Inference done 1830/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:02:50 [10/25 11:07:20] d2.evaluation.evaluator INFO: Inference done 1933/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:02:45 [10/25 11:07:25] d2.evaluation.evaluator INFO: Inference done 2034/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:02:40 [10/25 11:07:30] d2.evaluation.evaluator INFO: Inference done 2133/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:02:35 [10/25 11:07:35] d2.evaluation.evaluator INFO: Inference done 2235/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:02:30 [10/25 11:07:40] d2.evaluation.evaluator INFO: Inference done 2337/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:02:25 [10/25 11:07:45] d2.evaluation.evaluator INFO: Inference done 2440/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:02:19 [10/25 11:07:50] d2.evaluation.evaluator INFO: Inference done 2543/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:02:14 [10/25 11:07:55] d2.evaluation.evaluator INFO: Inference done 2643/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:02:09 [10/25 11:08:00] d2.evaluation.evaluator INFO: Inference done 2744/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:02:04 [10/25 11:08:05] d2.evaluation.evaluator INFO: Inference done 2846/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:01:59 [10/25 11:08:10] d2.evaluation.evaluator INFO: Inference done 2949/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:01:54 [10/25 11:08:15] d2.evaluation.evaluator INFO: Inference done 3052/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:01:49 [10/25 11:08:20] d2.evaluation.evaluator INFO: Inference done 3155/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:44 [10/25 11:08:25] d2.evaluation.evaluator INFO: Inference done 3256/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:39 [10/25 11:08:30] d2.evaluation.evaluator INFO: Inference done 3359/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:34 [10/25 11:08:35] d2.evaluation.evaluator INFO: Inference done 3460/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:29 [10/25 11:08:40] d2.evaluation.evaluator INFO: Inference done 3562/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:23 [10/25 11:08:45] d2.evaluation.evaluator INFO: Inference done 3666/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:18 [10/25 11:08:50] d2.evaluation.evaluator INFO: Inference done 3766/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:13 [10/25 11:08:55] d2.evaluation.evaluator INFO: Inference done 3868/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:08 [10/25 11:09:00] d2.evaluation.evaluator INFO: Inference done 3970/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:03 [10/25 11:09:05] d2.evaluation.evaluator INFO: Inference done 4074/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:58 [10/25 11:09:10] d2.evaluation.evaluator INFO: Inference done 4175/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:53 [10/25 11:09:15] d2.evaluation.evaluator INFO: Inference done 4276/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:48 [10/25 11:09:21] d2.evaluation.evaluator INFO: Inference done 4377/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:43 [10/25 11:09:26] d2.evaluation.evaluator INFO: Inference done 4479/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:38 [10/25 11:09:31] d2.evaluation.evaluator INFO: Inference done 4581/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:33 [10/25 11:09:36] d2.evaluation.evaluator INFO: Inference done 4683/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:28 [10/25 11:09:41] d2.evaluation.evaluator INFO: Inference done 4786/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:23 [10/25 11:09:46] d2.evaluation.evaluator INFO: Inference done 4887/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:18 [10/25 11:09:51] d2.evaluation.evaluator INFO: Inference done 4988/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:13 [10/25 11:09:56] d2.evaluation.evaluator INFO: Inference done 5089/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:08 [10/25 11:10:01] d2.evaluation.evaluator INFO: Inference done 5190/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:03 [10/25 11:10:04] d2.evaluation.evaluator INFO: Total inference time: 0:04:19.976081 (0.049491 s / iter per device, on 1 devices) [10/25 11:10:04] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:12 (0.048013 s / iter per device, on 1 devices) [10/25 11:10:04] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 11:11:03] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 11:11:03] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 11:11:03] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 11:11:03] d2.evaluation.testing INFO: copypaste: 6.4924,13.6438,5.9338 [10/25 11:11:03] d2.utils.events INFO: eta: 1 day, 6:23:07 iter: 12399 total_loss: 2.055 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04294 loss_box_reg_sup: 0.3573 loss_rpn_cls_sup: 0.03795 loss_rpn_loc_sup: 0.3272 loss_cls_unsup: 0.2893 loss_box_reg_unsup: 0.3734 loss_rpn_cls_unsup: 0.3159 loss_rpn_loc_unsup: 0.3054 time: 5.6684 data_time: 0.7956 lr: 0.016 max_mem: 18367M [10/25 11:13:10] d2.utils.events INFO: eta: 1 day, 6:21:44 iter: 12419 total_loss: 1.977 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04067 loss_box_reg_sup: 0.3509 loss_rpn_cls_sup: 0.03579 loss_rpn_loc_sup: 0.3024 loss_cls_unsup: 0.2777 loss_box_reg_unsup: 0.3778 loss_rpn_cls_unsup: 0.3222 loss_rpn_loc_unsup: 0.2882 time: 5.6695 data_time: 0.8419 lr: 0.016 max_mem: 18367M [10/25 11:15:17] d2.utils.events INFO: eta: 1 day, 6:20:10 iter: 12439 total_loss: 2.048 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04347 loss_box_reg_sup: 0.3904 loss_rpn_cls_sup: 0.03525 loss_rpn_loc_sup: 0.3197 loss_cls_unsup: 0.278 loss_box_reg_unsup: 0.3644 loss_rpn_cls_unsup: 0.3182 loss_rpn_loc_unsup: 0.3001 time: 5.6706 data_time: 0.7925 lr: 0.016 max_mem: 18367M [10/25 11:17:21] d2.utils.events INFO: eta: 1 day, 6:18:26 iter: 12459 total_loss: 2.088 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04424 loss_box_reg_sup: 0.3754 loss_rpn_cls_sup: 0.04095 loss_rpn_loc_sup: 0.3235 loss_cls_unsup: 0.2905 loss_box_reg_unsup: 0.3784 loss_rpn_cls_unsup: 0.3209 loss_rpn_loc_unsup: 0.3215 time: 5.6715 data_time: 0.8191 lr: 0.016 max_mem: 18367M [10/25 11:19:27] d2.utils.events INFO: eta: 1 day, 6:16:28 iter: 12479 total_loss: 1.988 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04118 loss_box_reg_sup: 0.3802 loss_rpn_cls_sup: 0.03574 loss_rpn_loc_sup: 0.3175 loss_cls_unsup: 0.2689 loss_box_reg_unsup: 0.3548 loss_rpn_cls_unsup: 0.3077 loss_rpn_loc_unsup: 0.3213 time: 5.6725 data_time: 0.8206 lr: 0.016 max_mem: 18367M [10/25 11:21:33] d2.utils.events INFO: eta: 1 day, 6:14:46 iter: 12499 total_loss: 2.006 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04511 loss_box_reg_sup: 0.3776 loss_rpn_cls_sup: 0.04116 loss_rpn_loc_sup: 0.3167 loss_cls_unsup: 0.2823 loss_box_reg_unsup: 0.3674 loss_rpn_cls_unsup: 0.311 loss_rpn_loc_unsup: 0.3191 time: 5.6735 data_time: 0.8162 lr: 0.016 max_mem: 18367M [10/25 11:23:39] d2.utils.events INFO: eta: 1 day, 6:13:06 iter: 12519 total_loss: 2.049 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04068 loss_box_reg_sup: 0.3753 loss_rpn_cls_sup: 0.03482 loss_rpn_loc_sup: 0.3049 loss_cls_unsup: 0.282 loss_box_reg_unsup: 0.3556 loss_rpn_cls_unsup: 0.3196 loss_rpn_loc_unsup: 0.3128 time: 5.6745 data_time: 0.8302 lr: 0.016 max_mem: 18367M [10/25 11:25:46] d2.utils.events INFO: eta: 1 day, 6:11:14 iter: 12539 total_loss: 2.019 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03891 loss_box_reg_sup: 0.3665 loss_rpn_cls_sup: 0.03818 loss_rpn_loc_sup: 0.2992 loss_cls_unsup: 0.2757 loss_box_reg_unsup: 0.36 loss_rpn_cls_unsup: 0.304 loss_rpn_loc_unsup: 0.3038 time: 5.6755 data_time: 0.8257 lr: 0.016 max_mem: 18367M [10/25 11:27:50] d2.utils.events INFO: eta: 1 day, 6:09:10 iter: 12559 total_loss: 2.027 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04552 loss_box_reg_sup: 0.3792 loss_rpn_cls_sup: 0.0356 loss_rpn_loc_sup: 0.3212 loss_cls_unsup: 0.2743 loss_box_reg_unsup: 0.3528 loss_rpn_cls_unsup: 0.2973 loss_rpn_loc_unsup: 0.2973 time: 5.6763 data_time: 0.7969 lr: 0.016 max_mem: 18367M [10/25 11:29:58] d2.utils.events INFO: eta: 1 day, 6:08:00 iter: 12579 total_loss: 1.987 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03984 loss_box_reg_sup: 0.3523 loss_rpn_cls_sup: 0.03561 loss_rpn_loc_sup: 0.3206 loss_cls_unsup: 0.2773 loss_box_reg_unsup: 0.3457 loss_rpn_cls_unsup: 0.3006 loss_rpn_loc_unsup: 0.2957 time: 5.6775 data_time: 0.8174 lr: 0.016 max_mem: 18367M [10/25 11:32:04] d2.utils.events INFO: eta: 1 day, 6:06:13 iter: 12599 total_loss: 2.01 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04014 loss_box_reg_sup: 0.3451 loss_rpn_cls_sup: 0.03395 loss_rpn_loc_sup: 0.3102 loss_cls_unsup: 0.2819 loss_box_reg_unsup: 0.3715 loss_rpn_cls_unsup: 0.3192 loss_rpn_loc_unsup: 0.3097 time: 5.6785 data_time: 0.8027 lr: 0.016 max_mem: 18367M [10/25 11:34:13] d2.utils.events INFO: eta: 1 day, 6:04:23 iter: 12619 total_loss: 2.013 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03889 loss_box_reg_sup: 0.3605 loss_rpn_cls_sup: 0.03706 loss_rpn_loc_sup: 0.3164 loss_cls_unsup: 0.2887 loss_box_reg_unsup: 0.3726 loss_rpn_cls_unsup: 0.3048 loss_rpn_loc_unsup: 0.3054 time: 5.6797 data_time: 0.8247 lr: 0.016 max_mem: 18367M [10/25 11:36:18] d2.utils.events INFO: eta: 1 day, 6:02:04 iter: 12639 total_loss: 2.033 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04062 loss_box_reg_sup: 0.3518 loss_rpn_cls_sup: 0.03517 loss_rpn_loc_sup: 0.2937 loss_cls_unsup: 0.2875 loss_box_reg_unsup: 0.3587 loss_rpn_cls_unsup: 0.2949 loss_rpn_loc_unsup: 0.3369 time: 5.6806 data_time: 0.8358 lr: 0.016 max_mem: 18367M [10/25 11:38:24] d2.utils.events INFO: eta: 1 day, 5:59:59 iter: 12659 total_loss: 2.067 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04044 loss_box_reg_sup: 0.3599 loss_rpn_cls_sup: 0.03642 loss_rpn_loc_sup: 0.3169 loss_cls_unsup: 0.2807 loss_box_reg_unsup: 0.3621 loss_rpn_cls_unsup: 0.3013 loss_rpn_loc_unsup: 0.3603 time: 5.6816 data_time: 0.8085 lr: 0.016 max_mem: 18367M [10/25 11:40:32] d2.utils.events INFO: eta: 1 day, 5:58:15 iter: 12679 total_loss: 2.082 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04273 loss_box_reg_sup: 0.384 loss_rpn_cls_sup: 0.03989 loss_rpn_loc_sup: 0.3118 loss_cls_unsup: 0.2971 loss_box_reg_unsup: 0.354 loss_rpn_cls_unsup: 0.3305 loss_rpn_loc_unsup: 0.3514 time: 5.6828 data_time: 0.8280 lr: 0.016 max_mem: 18367M [10/25 11:42:43] d2.utils.events INFO: eta: 1 day, 5:56:50 iter: 12699 total_loss: 2.044 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04164 loss_box_reg_sup: 0.3739 loss_rpn_cls_sup: 0.03767 loss_rpn_loc_sup: 0.3257 loss_cls_unsup: 0.2766 loss_box_reg_unsup: 0.3618 loss_rpn_cls_unsup: 0.293 loss_rpn_loc_unsup: 0.3151 time: 5.6841 data_time: 0.7935 lr: 0.016 max_mem: 18367M [10/25 11:44:49] d2.utils.events INFO: eta: 1 day, 5:54:06 iter: 12719 total_loss: 2.077 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03801 loss_box_reg_sup: 0.3682 loss_rpn_cls_sup: 0.03492 loss_rpn_loc_sup: 0.3117 loss_cls_unsup: 0.2981 loss_box_reg_unsup: 0.3587 loss_rpn_cls_unsup: 0.332 loss_rpn_loc_unsup: 0.3282 time: 5.6851 data_time: 0.7957 lr: 0.016 max_mem: 18367M [10/25 11:46:55] d2.utils.events INFO: eta: 1 day, 5:53:25 iter: 12739 total_loss: 2.079 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03748 loss_box_reg_sup: 0.3498 loss_rpn_cls_sup: 0.03812 loss_rpn_loc_sup: 0.3179 loss_cls_unsup: 0.2815 loss_box_reg_unsup: 0.3517 loss_rpn_cls_unsup: 0.3137 loss_rpn_loc_unsup: 0.3422 time: 5.6861 data_time: 0.8119 lr: 0.016 max_mem: 18367M [10/25 11:49:02] d2.utils.events INFO: eta: 1 day, 5:51:31 iter: 12759 total_loss: 2.154 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04228 loss_box_reg_sup: 0.3787 loss_rpn_cls_sup: 0.03736 loss_rpn_loc_sup: 0.3199 loss_cls_unsup: 0.2943 loss_box_reg_unsup: 0.3805 loss_rpn_cls_unsup: 0.3315 loss_rpn_loc_unsup: 0.3255 time: 5.6871 data_time: 0.8143 lr: 0.016 max_mem: 18367M [10/25 11:51:10] d2.utils.events INFO: eta: 1 day, 5:49:42 iter: 12779 total_loss: 1.999 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04239 loss_box_reg_sup: 0.3639 loss_rpn_cls_sup: 0.03317 loss_rpn_loc_sup: 0.3226 loss_cls_unsup: 0.2667 loss_box_reg_unsup: 0.365 loss_rpn_cls_unsup: 0.3223 loss_rpn_loc_unsup: 0.3508 time: 5.6882 data_time: 0.8472 lr: 0.016 max_mem: 18367M [10/25 11:53:21] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 11:53:21] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 11:53:21] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 11:53:21] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 11:53:22] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0370 s/iter. Eval: 0.0004 s/iter. Total: 0.0383 s/iter. ETA=0:03:20 [10/25 11:53:27] d2.evaluation.evaluator INFO: Inference done 136/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0400 s/iter. ETA=0:03:24 [10/25 11:53:32] d2.evaluation.evaluator INFO: Inference done 260/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0003 s/iter. Total: 0.0403 s/iter. ETA=0:03:21 [10/25 11:53:37] d2.evaluation.evaluator INFO: Inference done 374/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0003 s/iter. Total: 0.0415 s/iter. ETA=0:03:22 [10/25 11:53:42] d2.evaluation.evaluator INFO: Inference done 488/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0003 s/iter. Total: 0.0421 s/iter. ETA=0:03:20 [10/25 11:53:47] d2.evaluation.evaluator INFO: Inference done 613/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:03:13 [10/25 11:53:52] d2.evaluation.evaluator INFO: Inference done 736/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0003 s/iter. Total: 0.0415 s/iter. ETA=0:03:07 [10/25 11:53:57] d2.evaluation.evaluator INFO: Inference done 861/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0003 s/iter. Total: 0.0413 s/iter. ETA=0:03:01 [10/25 11:54:02] d2.evaluation.evaluator INFO: Inference done 989/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0003 s/iter. Total: 0.0410 s/iter. ETA=0:02:55 [10/25 11:54:07] d2.evaluation.evaluator INFO: Inference done 1106/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0003 s/iter. Total: 0.0413 s/iter. ETA=0:02:51 [10/25 11:54:12] d2.evaluation.evaluator INFO: Inference done 1230/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0003 s/iter. Total: 0.0412 s/iter. ETA=0:02:45 [10/25 11:54:17] d2.evaluation.evaluator INFO: Inference done 1352/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0003 s/iter. Total: 0.0412 s/iter. ETA=0:02:40 [10/25 11:54:22] d2.evaluation.evaluator INFO: Inference done 1466/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0003 s/iter. Total: 0.0414 s/iter. ETA=0:02:37 [10/25 11:54:27] d2.evaluation.evaluator INFO: Inference done 1595/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0003 s/iter. Total: 0.0412 s/iter. ETA=0:02:30 [10/25 11:54:32] d2.evaluation.evaluator INFO: Inference done 1716/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0003 s/iter. Total: 0.0412 s/iter. ETA=0:02:26 [10/25 11:54:37] d2.evaluation.evaluator INFO: Inference done 1840/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0003 s/iter. Total: 0.0412 s/iter. ETA=0:02:20 [10/25 11:54:42] d2.evaluation.evaluator INFO: Inference done 1958/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0003 s/iter. Total: 0.0412 s/iter. ETA=0:02:16 [10/25 11:54:47] d2.evaluation.evaluator INFO: Inference done 2077/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0003 s/iter. Total: 0.0413 s/iter. ETA=0:02:11 [10/25 11:54:52] d2.evaluation.evaluator INFO: Inference done 2199/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0003 s/iter. Total: 0.0413 s/iter. ETA=0:02:06 [10/25 11:54:57] d2.evaluation.evaluator INFO: Inference done 2323/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0003 s/iter. 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ETA=0:01:36 [10/25 11:55:27] d2.evaluation.evaluator INFO: Inference done 3049/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0003 s/iter. Total: 0.0413 s/iter. ETA=0:01:31 [10/25 11:55:32] d2.evaluation.evaluator INFO: Inference done 3172/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0003 s/iter. Total: 0.0413 s/iter. ETA=0:01:26 [10/25 11:55:37] d2.evaluation.evaluator INFO: Inference done 3300/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0003 s/iter. Total: 0.0412 s/iter. ETA=0:01:20 [10/25 11:55:42] d2.evaluation.evaluator INFO: Inference done 3417/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0003 s/iter. Total: 0.0413 s/iter. ETA=0:01:15 [10/25 11:55:47] d2.evaluation.evaluator INFO: Inference done 3549/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0003 s/iter. Total: 0.0412 s/iter. ETA=0:01:10 [10/25 11:55:52] d2.evaluation.evaluator INFO: Inference done 3672/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0003 s/iter. Total: 0.0411 s/iter. ETA=0:01:05 [10/25 11:55:57] d2.evaluation.evaluator INFO: Inference done 3790/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0003 s/iter. Total: 0.0412 s/iter. ETA=0:01:00 [10/25 11:56:02] d2.evaluation.evaluator INFO: Inference done 3905/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0003 s/iter. Total: 0.0413 s/iter. ETA=0:00:55 [10/25 11:56:07] d2.evaluation.evaluator INFO: Inference done 4021/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0003 s/iter. Total: 0.0413 s/iter. ETA=0:00:51 [10/25 11:56:12] d2.evaluation.evaluator INFO: Inference done 4140/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0003 s/iter. Total: 0.0413 s/iter. ETA=0:00:46 [10/25 11:56:17] d2.evaluation.evaluator INFO: Inference done 4268/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0003 s/iter. 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ETA=0:00:16 [10/25 11:56:48] d2.evaluation.evaluator INFO: Inference done 4984/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0003 s/iter. Total: 0.0414 s/iter. ETA=0:00:11 [10/25 11:56:53] d2.evaluation.evaluator INFO: Inference done 5106/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0003 s/iter. Total: 0.0414 s/iter. ETA=0:00:06 [10/25 11:56:58] d2.evaluation.evaluator INFO: Inference done 5225/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0003 s/iter. Total: 0.0414 s/iter. ETA=0:00:01 [10/25 11:56:59] d2.evaluation.evaluator INFO: Total inference time: 0:03:37.519258 (0.041409 s / iter per device, on 1 devices) [10/25 11:56:59] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:30 (0.040005 s / iter per device, on 1 devices) [10/25 11:56:59] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 11:57:45] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 11:57:45] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 11:57:45] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 11:57:45] d2.evaluation.testing INFO: copypaste: 5.9251,12.6931,5.3110 [10/25 11:57:46] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 11:57:47] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 11:57:47] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 11:57:47] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 11:57:48] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:04:18 [10/25 11:57:53] d2.evaluation.evaluator INFO: Inference done 114/5258. Dataloading: 0.0010 s/iter. Inference: 0.0472 s/iter. Eval: 0.0004 s/iter. Total: 0.0488 s/iter. ETA=0:04:10 [10/25 11:57:58] d2.evaluation.evaluator INFO: Inference done 218/5258. Dataloading: 0.0010 s/iter. Inference: 0.0472 s/iter. Eval: 0.0004 s/iter. Total: 0.0486 s/iter. ETA=0:04:05 [10/25 11:58:03] d2.evaluation.evaluator INFO: Inference done 321/5258. Dataloading: 0.0010 s/iter. Inference: 0.0472 s/iter. Eval: 0.0004 s/iter. Total: 0.0486 s/iter. ETA=0:04:00 [10/25 11:58:08] d2.evaluation.evaluator INFO: Inference done 425/5258. Dataloading: 0.0010 s/iter. Inference: 0.0471 s/iter. Eval: 0.0004 s/iter. Total: 0.0486 s/iter. ETA=0:03:54 [10/25 11:58:13] d2.evaluation.evaluator INFO: Inference done 528/5258. Dataloading: 0.0010 s/iter. Inference: 0.0472 s/iter. Eval: 0.0004 s/iter. Total: 0.0486 s/iter. ETA=0:03:50 [10/25 11:58:18] d2.evaluation.evaluator INFO: Inference done 627/5258. 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ETA=0:02:57 [10/25 11:59:13] d2.evaluation.evaluator INFO: Inference done 1744/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:02:53 [10/25 11:59:18] d2.evaluation.evaluator INFO: Inference done 1847/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0492 s/iter. ETA=0:02:47 [10/25 11:59:23] d2.evaluation.evaluator INFO: Inference done 1948/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:02:43 [10/25 11:59:28] d2.evaluation.evaluator INFO: Inference done 2051/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:02:37 [10/25 11:59:33] d2.evaluation.evaluator INFO: Inference done 2151/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:02:33 [10/25 11:59:38] d2.evaluation.evaluator INFO: Inference done 2254/5258. 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Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:01:08 [10/25 12:01:04] d2.evaluation.evaluator INFO: Inference done 3976/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:01:03 [10/25 12:01:09] d2.evaluation.evaluator INFO: Inference done 4080/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:58 [10/25 12:01:14] d2.evaluation.evaluator INFO: Inference done 4180/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:53 [10/25 12:01:19] d2.evaluation.evaluator INFO: Inference done 4281/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:48 [10/25 12:01:24] d2.evaluation.evaluator INFO: Inference done 4383/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. 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ETA=0:00:17 [10/25 12:01:54] d2.evaluation.evaluator INFO: Inference done 4999/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:12 [10/25 12:01:59] d2.evaluation.evaluator INFO: Inference done 5099/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:07 [10/25 12:02:04] d2.evaluation.evaluator INFO: Inference done 5201/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:02 [10/25 12:02:07] d2.evaluation.evaluator INFO: Total inference time: 0:04:19.310300 (0.049364 s / iter per device, on 1 devices) [10/25 12:02:07] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:11 (0.047899 s / iter per device, on 1 devices) [10/25 12:02:07] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 12:03:05] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 12:03:05] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 12:03:05] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 12:03:05] d2.evaluation.testing INFO: copypaste: 6.5041,13.6253,5.9469 [10/25 12:03:05] d2.utils.events INFO: eta: 1 day, 5:47:45 iter: 12799 total_loss: 2.107 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0399 loss_box_reg_sup: 0.3761 loss_rpn_cls_sup: 0.03533 loss_rpn_loc_sup: 0.3251 loss_cls_unsup: 0.2865 loss_box_reg_unsup: 0.3511 loss_rpn_cls_unsup: 0.3244 loss_rpn_loc_unsup: 0.3445 time: 5.6890 data_time: 0.8064 lr: 0.016 max_mem: 18367M [10/25 12:05:15] d2.utils.events INFO: eta: 1 day, 5:45:56 iter: 12819 total_loss: 2.015 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04137 loss_box_reg_sup: 0.3593 loss_rpn_cls_sup: 0.03707 loss_rpn_loc_sup: 0.3154 loss_cls_unsup: 0.286 loss_box_reg_unsup: 0.3512 loss_rpn_cls_unsup: 0.3212 loss_rpn_loc_unsup: 0.3195 time: 5.6903 data_time: 0.8185 lr: 0.016 max_mem: 18367M [10/25 12:07:27] d2.utils.events INFO: eta: 1 day, 5:44:37 iter: 12839 total_loss: 2.035 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04079 loss_box_reg_sup: 0.3534 loss_rpn_cls_sup: 0.03476 loss_rpn_loc_sup: 0.3095 loss_cls_unsup: 0.2821 loss_box_reg_unsup: 0.3778 loss_rpn_cls_unsup: 0.3151 loss_rpn_loc_unsup: 0.3441 time: 5.6917 data_time: 0.8353 lr: 0.016 max_mem: 18367M [10/25 12:09:32] d2.utils.events INFO: eta: 1 day, 5:42:32 iter: 12859 total_loss: 2.084 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04122 loss_box_reg_sup: 0.3549 loss_rpn_cls_sup: 0.03681 loss_rpn_loc_sup: 0.3051 loss_cls_unsup: 0.2715 loss_box_reg_unsup: 0.3969 loss_rpn_cls_unsup: 0.3119 loss_rpn_loc_unsup: 0.3799 time: 5.6926 data_time: 0.7788 lr: 0.016 max_mem: 18367M [10/25 12:11:39] d2.utils.events INFO: eta: 1 day, 5:40:41 iter: 12879 total_loss: 2.117 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04391 loss_box_reg_sup: 0.37 loss_rpn_cls_sup: 0.03731 loss_rpn_loc_sup: 0.3221 loss_cls_unsup: 0.2907 loss_box_reg_unsup: 0.3739 loss_rpn_cls_unsup: 0.3275 loss_rpn_loc_unsup: 0.3205 time: 5.6936 data_time: 0.8297 lr: 0.016 max_mem: 18367M [10/25 12:13:46] d2.utils.events INFO: eta: 1 day, 5:38:38 iter: 12899 total_loss: 2.06 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04119 loss_box_reg_sup: 0.3514 loss_rpn_cls_sup: 0.03679 loss_rpn_loc_sup: 0.3036 loss_cls_unsup: 0.2773 loss_box_reg_unsup: 0.3817 loss_rpn_cls_unsup: 0.3167 loss_rpn_loc_unsup: 0.3559 time: 5.6946 data_time: 0.8199 lr: 0.016 max_mem: 18367M [10/25 12:15:59] d2.utils.events INFO: eta: 1 day, 5:36:38 iter: 12919 total_loss: 2.103 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04562 loss_box_reg_sup: 0.3393 loss_rpn_cls_sup: 0.03227 loss_rpn_loc_sup: 0.3105 loss_cls_unsup: 0.2791 loss_box_reg_unsup: 0.3844 loss_rpn_cls_unsup: 0.314 loss_rpn_loc_unsup: 0.3572 time: 5.6961 data_time: 0.8220 lr: 0.016 max_mem: 18367M [10/25 12:18:06] d2.utils.events INFO: eta: 1 day, 5:34:33 iter: 12939 total_loss: 2.054 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04157 loss_box_reg_sup: 0.3492 loss_rpn_cls_sup: 0.03685 loss_rpn_loc_sup: 0.3059 loss_cls_unsup: 0.2767 loss_box_reg_unsup: 0.3715 loss_rpn_cls_unsup: 0.3084 loss_rpn_loc_unsup: 0.3142 time: 5.6971 data_time: 0.8370 lr: 0.016 max_mem: 18367M [10/25 12:20:19] d2.utils.events INFO: eta: 1 day, 5:33:02 iter: 12959 total_loss: 2.11 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0411 loss_box_reg_sup: 0.3655 loss_rpn_cls_sup: 0.03799 loss_rpn_loc_sup: 0.3162 loss_cls_unsup: 0.2891 loss_box_reg_unsup: 0.3864 loss_rpn_cls_unsup: 0.3136 loss_rpn_loc_unsup: 0.3138 time: 5.6986 data_time: 0.8223 lr: 0.016 max_mem: 18367M [10/25 12:22:23] d2.utils.events INFO: eta: 1 day, 5:30:19 iter: 12979 total_loss: 2.09 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04041 loss_box_reg_sup: 0.3543 loss_rpn_cls_sup: 0.03921 loss_rpn_loc_sup: 0.3215 loss_cls_unsup: 0.2777 loss_box_reg_unsup: 0.3842 loss_rpn_cls_unsup: 0.3144 loss_rpn_loc_unsup: 0.3142 time: 5.6993 data_time: 0.8017 lr: 0.016 max_mem: 18367M [10/25 12:24:30] d2.utils.events INFO: eta: 1 day, 5:28:19 iter: 12999 total_loss: 2.089 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04551 loss_box_reg_sup: 0.3687 loss_rpn_cls_sup: 0.04133 loss_rpn_loc_sup: 0.3164 loss_cls_unsup: 0.2681 loss_box_reg_unsup: 0.3882 loss_rpn_cls_unsup: 0.3284 loss_rpn_loc_unsup: 0.3504 time: 5.7003 data_time: 0.8309 lr: 0.016 max_mem: 18367M [10/25 12:26:37] d2.utils.events INFO: eta: 1 day, 5:26:38 iter: 13019 total_loss: 2.086 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04446 loss_box_reg_sup: 0.3874 loss_rpn_cls_sup: 0.04053 loss_rpn_loc_sup: 0.3105 loss_cls_unsup: 0.2848 loss_box_reg_unsup: 0.38 loss_rpn_cls_unsup: 0.311 loss_rpn_loc_unsup: 0.3261 time: 5.7014 data_time: 0.8157 lr: 0.016 max_mem: 18367M [10/25 12:28:43] d2.utils.events INFO: eta: 1 day, 5:25:22 iter: 13039 total_loss: 2.058 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04348 loss_box_reg_sup: 0.3637 loss_rpn_cls_sup: 0.03721 loss_rpn_loc_sup: 0.3373 loss_cls_unsup: 0.2743 loss_box_reg_unsup: 0.3705 loss_rpn_cls_unsup: 0.3053 loss_rpn_loc_unsup: 0.3247 time: 5.7022 data_time: 0.7845 lr: 0.016 max_mem: 18367M [10/25 12:30:52] d2.utils.events INFO: eta: 1 day, 5:23:02 iter: 13059 total_loss: 2.092 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04236 loss_box_reg_sup: 0.3365 loss_rpn_cls_sup: 0.03957 loss_rpn_loc_sup: 0.305 loss_cls_unsup: 0.2753 loss_box_reg_unsup: 0.3778 loss_rpn_cls_unsup: 0.3246 loss_rpn_loc_unsup: 0.341 time: 5.7034 data_time: 0.8013 lr: 0.016 max_mem: 18367M [10/25 12:32:56] d2.utils.events INFO: eta: 1 day, 5:20:44 iter: 13079 total_loss: 2.154 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04506 loss_box_reg_sup: 0.3748 loss_rpn_cls_sup: 0.03689 loss_rpn_loc_sup: 0.3143 loss_cls_unsup: 0.2769 loss_box_reg_unsup: 0.3961 loss_rpn_cls_unsup: 0.3366 loss_rpn_loc_unsup: 0.352 time: 5.7042 data_time: 0.8092 lr: 0.016 max_mem: 18367M [10/25 12:35:01] d2.utils.events INFO: eta: 1 day, 5:18:28 iter: 13099 total_loss: 1.988 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03604 loss_box_reg_sup: 0.3492 loss_rpn_cls_sup: 0.03217 loss_rpn_loc_sup: 0.2966 loss_cls_unsup: 0.2935 loss_box_reg_unsup: 0.3687 loss_rpn_cls_unsup: 0.2971 loss_rpn_loc_unsup: 0.3158 time: 5.7050 data_time: 0.8247 lr: 0.016 max_mem: 18367M [10/25 12:37:06] d2.utils.events INFO: eta: 1 day, 5:16:34 iter: 13119 total_loss: 2.085 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04524 loss_box_reg_sup: 0.3943 loss_rpn_cls_sup: 0.03756 loss_rpn_loc_sup: 0.3189 loss_cls_unsup: 0.284 loss_box_reg_unsup: 0.3867 loss_rpn_cls_unsup: 0.3066 loss_rpn_loc_unsup: 0.3273 time: 5.7059 data_time: 0.8391 lr: 0.016 max_mem: 18367M [10/25 12:39:17] d2.utils.events INFO: eta: 1 day, 5:15:00 iter: 13139 total_loss: 2.169 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04133 loss_box_reg_sup: 0.3728 loss_rpn_cls_sup: 0.03489 loss_rpn_loc_sup: 0.3276 loss_cls_unsup: 0.2922 loss_box_reg_unsup: 0.3772 loss_rpn_cls_unsup: 0.3034 loss_rpn_loc_unsup: 0.3396 time: 5.7071 data_time: 0.8251 lr: 0.016 max_mem: 18367M [10/25 12:41:21] d2.utils.events INFO: eta: 1 day, 5:12:24 iter: 13159 total_loss: 2.067 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04034 loss_box_reg_sup: 0.3804 loss_rpn_cls_sup: 0.03537 loss_rpn_loc_sup: 0.3347 loss_cls_unsup: 0.2763 loss_box_reg_unsup: 0.3688 loss_rpn_cls_unsup: 0.301 loss_rpn_loc_unsup: 0.3118 time: 5.7079 data_time: 0.8207 lr: 0.016 max_mem: 18367M [10/25 12:43:25] d2.utils.events INFO: eta: 1 day, 5:09:53 iter: 13179 total_loss: 2.099 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04228 loss_box_reg_sup: 0.3585 loss_rpn_cls_sup: 0.03974 loss_rpn_loc_sup: 0.3177 loss_cls_unsup: 0.2803 loss_box_reg_unsup: 0.379 loss_rpn_cls_unsup: 0.3134 loss_rpn_loc_unsup: 0.3582 time: 5.7086 data_time: 0.7890 lr: 0.016 max_mem: 18367M [10/25 12:45:38] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 12:45:38] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 12:45:38] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 12:45:38] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 12:45:39] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0444 s/iter. Eval: 0.0005 s/iter. Total: 0.0457 s/iter. ETA=0:03:59 [10/25 12:45:44] d2.evaluation.evaluator INFO: Inference done 131/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0004 s/iter. Total: 0.0421 s/iter. ETA=0:03:35 [10/25 12:45:49] d2.evaluation.evaluator INFO: Inference done 253/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:03:28 [10/25 12:45:54] d2.evaluation.evaluator INFO: Inference done 367/5258. Dataloading: 0.0011 s/iter. 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ETA=0:00:17 [10/25 12:49:05] d2.evaluation.evaluator INFO: Inference done 4961/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:00:12 [10/25 12:49:10] d2.evaluation.evaluator INFO: Inference done 5077/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:00:07 [10/25 12:49:15] d2.evaluation.evaluator INFO: Inference done 5201/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:00:02 [10/25 12:49:17] d2.evaluation.evaluator INFO: Total inference time: 0:03:38.635569 (0.041621 s / iter per device, on 1 devices) [10/25 12:49:17] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:30 (0.040145 s / iter per device, on 1 devices) [10/25 12:49:17] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 12:50:18] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 12:50:18] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 12:50:18] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 12:50:18] d2.evaluation.testing INFO: copypaste: 5.9255,12.9183,5.1810 [10/25 12:50:20] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 12:50:20] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 12:50:20] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 12:50:20] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 12:50:21] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:04:21 [10/25 12:50:26] d2.evaluation.evaluator INFO: Inference done 114/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0004 s/iter. Total: 0.0490 s/iter. ETA=0:04:12 [10/25 12:50:31] d2.evaluation.evaluator INFO: Inference done 215/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:04:09 [10/25 12:50:36] d2.evaluation.evaluator INFO: Inference done 318/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0492 s/iter. ETA=0:04:03 [10/25 12:50:41] d2.evaluation.evaluator INFO: Inference done 420/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:03:58 [10/25 12:50:46] d2.evaluation.evaluator INFO: Inference done 522/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:03:53 [10/25 12:50:51] d2.evaluation.evaluator INFO: Inference done 624/5258. 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ETA=0:00:17 [10/25 12:54:28] d2.evaluation.evaluator INFO: Inference done 5013/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:00:12 [10/25 12:54:33] d2.evaluation.evaluator INFO: Inference done 5116/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0492 s/iter. ETA=0:00:06 [10/25 12:54:38] d2.evaluation.evaluator INFO: Inference done 5219/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0492 s/iter. ETA=0:00:01 [10/25 12:54:40] d2.evaluation.evaluator INFO: Total inference time: 0:04:18.809151 (0.049269 s / iter per device, on 1 devices) [10/25 12:54:40] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:11 (0.047824 s / iter per device, on 1 devices) [10/25 12:54:40] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 12:55:38] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 12:55:38] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 12:55:38] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 12:55:38] d2.evaluation.testing INFO: copypaste: 6.5051,13.7129,5.9616 [10/25 12:55:38] d2.utils.events INFO: eta: 1 day, 5:07:54 iter: 13199 total_loss: 2.05 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0415 loss_box_reg_sup: 0.3694 loss_rpn_cls_sup: 0.0343 loss_rpn_loc_sup: 0.3146 loss_cls_unsup: 0.2819 loss_box_reg_unsup: 0.386 loss_rpn_cls_unsup: 0.3042 loss_rpn_loc_unsup: 0.3687 time: 5.7096 data_time: 0.8494 lr: 0.016 max_mem: 18367M [10/25 12:57:44] d2.utils.events INFO: eta: 1 day, 5:06:12 iter: 13219 total_loss: 2.118 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04698 loss_box_reg_sup: 0.4012 loss_rpn_cls_sup: 0.03907 loss_rpn_loc_sup: 0.3143 loss_cls_unsup: 0.2886 loss_box_reg_unsup: 0.3991 loss_rpn_cls_unsup: 0.3026 loss_rpn_loc_unsup: 0.3216 time: 5.7104 data_time: 0.8295 lr: 0.016 max_mem: 18367M [10/25 12:59:51] d2.utils.events INFO: eta: 1 day, 5:03:54 iter: 13239 total_loss: 2.007 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03761 loss_box_reg_sup: 0.3358 loss_rpn_cls_sup: 0.03815 loss_rpn_loc_sup: 0.2939 loss_cls_unsup: 0.2854 loss_box_reg_unsup: 0.3835 loss_rpn_cls_unsup: 0.3179 loss_rpn_loc_unsup: 0.3298 time: 5.7114 data_time: 0.8027 lr: 0.016 max_mem: 18367M [10/25 13:01:58] d2.utils.events INFO: eta: 1 day, 5:01:24 iter: 13259 total_loss: 2.086 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04038 loss_box_reg_sup: 0.3622 loss_rpn_cls_sup: 0.03821 loss_rpn_loc_sup: 0.2976 loss_cls_unsup: 0.2868 loss_box_reg_unsup: 0.3912 loss_rpn_cls_unsup: 0.3066 loss_rpn_loc_unsup: 0.364 time: 5.7124 data_time: 0.8143 lr: 0.016 max_mem: 18367M [10/25 13:04:09] d2.utils.events INFO: eta: 1 day, 4:59:07 iter: 13279 total_loss: 2.091 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04171 loss_box_reg_sup: 0.3616 loss_rpn_cls_sup: 0.03547 loss_rpn_loc_sup: 0.3176 loss_cls_unsup: 0.2968 loss_box_reg_unsup: 0.3994 loss_rpn_cls_unsup: 0.3138 loss_rpn_loc_unsup: 0.3328 time: 5.7136 data_time: 0.8347 lr: 0.016 max_mem: 18367M [10/25 13:06:16] d2.utils.events INFO: eta: 1 day, 4:57:02 iter: 13299 total_loss: 2.017 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03869 loss_box_reg_sup: 0.3322 loss_rpn_cls_sup: 0.03753 loss_rpn_loc_sup: 0.2827 loss_cls_unsup: 0.2803 loss_box_reg_unsup: 0.3767 loss_rpn_cls_unsup: 0.3353 loss_rpn_loc_unsup: 0.3821 time: 5.7146 data_time: 0.7879 lr: 0.016 max_mem: 18367M [10/25 13:08:20] d2.utils.events INFO: eta: 1 day, 4:54:57 iter: 13319 total_loss: 2.106 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03859 loss_box_reg_sup: 0.3624 loss_rpn_cls_sup: 0.03629 loss_rpn_loc_sup: 0.3122 loss_cls_unsup: 0.282 loss_box_reg_unsup: 0.3815 loss_rpn_cls_unsup: 0.3205 loss_rpn_loc_unsup: 0.323 time: 5.7153 data_time: 0.7964 lr: 0.016 max_mem: 18367M [10/25 13:10:37] d2.utils.events INFO: eta: 1 day, 4:52:51 iter: 13339 total_loss: 2.101 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04223 loss_box_reg_sup: 0.3626 loss_rpn_cls_sup: 0.03186 loss_rpn_loc_sup: 0.3144 loss_cls_unsup: 0.283 loss_box_reg_unsup: 0.3855 loss_rpn_cls_unsup: 0.3133 loss_rpn_loc_unsup: 0.35 time: 5.7170 data_time: 0.8452 lr: 0.016 max_mem: 18367M [10/25 13:12:42] d2.utils.events INFO: eta: 1 day, 4:51:00 iter: 13359 total_loss: 2.124 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04365 loss_box_reg_sup: 0.3872 loss_rpn_cls_sup: 0.03616 loss_rpn_loc_sup: 0.3112 loss_cls_unsup: 0.2752 loss_box_reg_unsup: 0.3737 loss_rpn_cls_unsup: 0.3072 loss_rpn_loc_unsup: 0.3333 time: 5.7178 data_time: 0.8000 lr: 0.016 max_mem: 18367M [10/25 13:14:46] d2.utils.events INFO: eta: 1 day, 4:48:41 iter: 13379 total_loss: 2.154 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04386 loss_box_reg_sup: 0.3836 loss_rpn_cls_sup: 0.0369 loss_rpn_loc_sup: 0.3021 loss_cls_unsup: 0.2949 loss_box_reg_unsup: 0.3862 loss_rpn_cls_unsup: 0.3349 loss_rpn_loc_unsup: 0.3488 time: 5.7186 data_time: 0.8255 lr: 0.016 max_mem: 18367M [10/25 13:16:55] d2.utils.events INFO: eta: 1 day, 4:46:36 iter: 13399 total_loss: 2.106 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04474 loss_box_reg_sup: 0.3651 loss_rpn_cls_sup: 0.04055 loss_rpn_loc_sup: 0.336 loss_cls_unsup: 0.2693 loss_box_reg_unsup: 0.4048 loss_rpn_cls_unsup: 0.313 loss_rpn_loc_unsup: 0.3386 time: 5.7196 data_time: 0.8025 lr: 0.016 max_mem: 18367M [10/25 13:19:01] d2.utils.events INFO: eta: 1 day, 4:44:29 iter: 13419 total_loss: 2.165 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04687 loss_box_reg_sup: 0.3665 loss_rpn_cls_sup: 0.04238 loss_rpn_loc_sup: 0.3242 loss_cls_unsup: 0.266 loss_box_reg_unsup: 0.4073 loss_rpn_cls_unsup: 0.33 loss_rpn_loc_unsup: 0.3972 time: 5.7205 data_time: 0.7995 lr: 0.016 max_mem: 18367M [10/25 13:21:05] d2.utils.events INFO: eta: 1 day, 4:42:05 iter: 13439 total_loss: 2.082 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04723 loss_box_reg_sup: 0.361 loss_rpn_cls_sup: 0.04078 loss_rpn_loc_sup: 0.3238 loss_cls_unsup: 0.2839 loss_box_reg_unsup: 0.3915 loss_rpn_cls_unsup: 0.3066 loss_rpn_loc_unsup: 0.3148 time: 5.7212 data_time: 0.8354 lr: 0.016 max_mem: 18367M [10/25 13:23:11] d2.utils.events INFO: eta: 1 day, 4:40:19 iter: 13459 total_loss: 2.068 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0427 loss_box_reg_sup: 0.3638 loss_rpn_cls_sup: 0.03221 loss_rpn_loc_sup: 0.3117 loss_cls_unsup: 0.2702 loss_box_reg_unsup: 0.3666 loss_rpn_cls_unsup: 0.3045 loss_rpn_loc_unsup: 0.3479 time: 5.7220 data_time: 0.8160 lr: 0.016 max_mem: 18367M [10/25 13:25:21] d2.utils.events INFO: eta: 1 day, 4:38:03 iter: 13479 total_loss: 2.11 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04122 loss_box_reg_sup: 0.3543 loss_rpn_cls_sup: 0.03545 loss_rpn_loc_sup: 0.307 loss_cls_unsup: 0.2814 loss_box_reg_unsup: 0.4046 loss_rpn_cls_unsup: 0.3212 loss_rpn_loc_unsup: 0.3648 time: 5.7232 data_time: 0.8330 lr: 0.016 max_mem: 18367M [10/25 13:27:30] d2.utils.events INFO: eta: 1 day, 4:35:50 iter: 13499 total_loss: 2.244 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04116 loss_box_reg_sup: 0.3761 loss_rpn_cls_sup: 0.03837 loss_rpn_loc_sup: 0.3338 loss_cls_unsup: 0.2892 loss_box_reg_unsup: 0.3911 loss_rpn_cls_unsup: 0.3227 loss_rpn_loc_unsup: 0.4258 time: 5.7243 data_time: 0.8129 lr: 0.016 max_mem: 18367M [10/25 13:29:35] d2.utils.events INFO: eta: 1 day, 4:32:57 iter: 13519 total_loss: 2.133 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04461 loss_box_reg_sup: 0.3648 loss_rpn_cls_sup: 0.0404 loss_rpn_loc_sup: 0.3276 loss_cls_unsup: 0.2808 loss_box_reg_unsup: 0.4067 loss_rpn_cls_unsup: 0.3103 loss_rpn_loc_unsup: 0.3657 time: 5.7250 data_time: 0.8535 lr: 0.016 max_mem: 18367M [10/25 13:31:39] d2.utils.events INFO: eta: 1 day, 4:30:42 iter: 13539 total_loss: 2.118 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04154 loss_box_reg_sup: 0.348 loss_rpn_cls_sup: 0.03561 loss_rpn_loc_sup: 0.2978 loss_cls_unsup: 0.2675 loss_box_reg_unsup: 0.368 loss_rpn_cls_unsup: 0.3358 loss_rpn_loc_unsup: 0.3669 time: 5.7258 data_time: 0.8138 lr: 0.016 max_mem: 18367M [10/25 13:33:44] d2.utils.events INFO: eta: 1 day, 4:28:43 iter: 13559 total_loss: 2.12 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04379 loss_box_reg_sup: 0.3544 loss_rpn_cls_sup: 0.03794 loss_rpn_loc_sup: 0.3148 loss_cls_unsup: 0.2812 loss_box_reg_unsup: 0.4006 loss_rpn_cls_unsup: 0.3083 loss_rpn_loc_unsup: 0.329 time: 5.7266 data_time: 0.8302 lr: 0.016 max_mem: 18367M [10/25 13:35:51] d2.utils.events INFO: eta: 1 day, 4:26:09 iter: 13579 total_loss: 2.015 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04037 loss_box_reg_sup: 0.344 loss_rpn_cls_sup: 0.03575 loss_rpn_loc_sup: 0.3092 loss_cls_unsup: 0.2766 loss_box_reg_unsup: 0.3959 loss_rpn_cls_unsup: 0.3264 loss_rpn_loc_unsup: 0.3212 time: 5.7274 data_time: 0.7838 lr: 0.016 max_mem: 18367M [10/25 13:38:07] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 13:38:07] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 13:38:07] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 13:38:07] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 13:38:08] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0424 s/iter. Eval: 0.0005 s/iter. Total: 0.0439 s/iter. ETA=0:03:50 [10/25 13:38:13] d2.evaluation.evaluator INFO: Inference done 132/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:03:32 [10/25 13:38:18] d2.evaluation.evaluator INFO: Inference done 249/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0421 s/iter. ETA=0:03:30 [10/25 13:38:23] d2.evaluation.evaluator INFO: Inference done 373/5258. Dataloading: 0.0010 s/iter. 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ETA=0:02:55 [10/25 13:38:53] d2.evaluation.evaluator INFO: Inference done 1107/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:02:51 [10/25 13:38:58] d2.evaluation.evaluator INFO: Inference done 1209/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:02:49 [10/25 13:39:03] d2.evaluation.evaluator INFO: Inference done 1323/5258. Dataloading: 0.0010 s/iter. Inference: 0.0406 s/iter. Eval: 0.0004 s/iter. Total: 0.0421 s/iter. ETA=0:02:45 [10/25 13:39:08] d2.evaluation.evaluator INFO: Inference done 1446/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0004 s/iter. Total: 0.0420 s/iter. ETA=0:02:40 [10/25 13:39:13] d2.evaluation.evaluator INFO: Inference done 1570/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:02:34 [10/25 13:39:18] d2.evaluation.evaluator INFO: Inference done 1693/5258. 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ETA=0:01:41 [10/25 13:40:14] d2.evaluation.evaluator INFO: Inference done 2983/5258. Dataloading: 0.0010 s/iter. Inference: 0.0408 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:01:36 [10/25 13:40:19] d2.evaluation.evaluator INFO: Inference done 3111/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0421 s/iter. ETA=0:01:30 [10/25 13:40:24] d2.evaluation.evaluator INFO: Inference done 3240/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0004 s/iter. Total: 0.0420 s/iter. ETA=0:01:24 [10/25 13:40:29] d2.evaluation.evaluator INFO: Inference done 3356/5258. Dataloading: 0.0010 s/iter. Inference: 0.0406 s/iter. Eval: 0.0004 s/iter. Total: 0.0420 s/iter. ETA=0:01:19 [10/25 13:40:34] d2.evaluation.evaluator INFO: Inference done 3480/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0004 s/iter. Total: 0.0420 s/iter. ETA=0:01:14 [10/25 13:40:39] d2.evaluation.evaluator INFO: Inference done 3612/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:01:08 [10/25 13:40:44] d2.evaluation.evaluator INFO: Inference done 3720/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0004 s/iter. Total: 0.0420 s/iter. ETA=0:01:04 [10/25 13:40:49] d2.evaluation.evaluator INFO: Inference done 3838/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0004 s/iter. Total: 0.0420 s/iter. ETA=0:00:59 [10/25 13:40:54] d2.evaluation.evaluator INFO: Inference done 3959/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0004 s/iter. Total: 0.0420 s/iter. ETA=0:00:54 [10/25 13:40:59] d2.evaluation.evaluator INFO: Inference done 4079/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0004 s/iter. Total: 0.0420 s/iter. ETA=0:00:49 [10/25 13:41:04] d2.evaluation.evaluator INFO: Inference done 4192/5258. Dataloading: 0.0010 s/iter. Inference: 0.0406 s/iter. Eval: 0.0004 s/iter. Total: 0.0420 s/iter. ETA=0:00:44 [10/25 13:41:09] d2.evaluation.evaluator INFO: Inference done 4303/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0421 s/iter. ETA=0:00:40 [10/25 13:41:14] d2.evaluation.evaluator INFO: Inference done 4421/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0421 s/iter. ETA=0:00:35 [10/25 13:41:19] d2.evaluation.evaluator INFO: Inference done 4533/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:00:30 [10/25 13:41:24] d2.evaluation.evaluator INFO: Inference done 4656/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:00:25 [10/25 13:41:29] d2.evaluation.evaluator INFO: Inference done 4779/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0421 s/iter. ETA=0:00:20 [10/25 13:41:34] d2.evaluation.evaluator INFO: Inference done 4895/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:00:15 [10/25 13:41:39] d2.evaluation.evaluator INFO: Inference done 5019/5258. Dataloading: 0.0010 s/iter. Inference: 0.0406 s/iter. Eval: 0.0004 s/iter. Total: 0.0421 s/iter. ETA=0:00:10 [10/25 13:41:44] d2.evaluation.evaluator INFO: Inference done 5136/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0421 s/iter. ETA=0:00:05 [10/25 13:41:49] d2.evaluation.evaluator INFO: Total inference time: 0:03:40.937856 (0.042059 s / iter per device, on 1 devices) [10/25 13:41:49] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:33 (0.040584 s / iter per device, on 1 devices) [10/25 13:41:49] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 13:42:52] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 13:42:52] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 13:42:52] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 13:42:52] d2.evaluation.testing INFO: copypaste: 5.8537,12.6943,5.0256 [10/25 13:42:53] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 13:42:53] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 13:42:53] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 13:42:53] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 13:42:55] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0476 s/iter. Eval: 0.0004 s/iter. Total: 0.0489 s/iter. ETA=0:04:16 [10/25 13:43:00] d2.evaluation.evaluator INFO: Inference done 113/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0004 s/iter. Total: 0.0492 s/iter. ETA=0:04:12 [10/25 13:43:05] d2.evaluation.evaluator INFO: Inference done 214/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:04:09 [10/25 13:43:10] d2.evaluation.evaluator INFO: Inference done 314/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:04:05 [10/25 13:43:15] d2.evaluation.evaluator INFO: Inference done 416/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:03:59 [10/25 13:43:20] d2.evaluation.evaluator INFO: Inference done 517/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:03:54 [10/25 13:43:25] d2.evaluation.evaluator INFO: Inference done 615/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0498 s/iter. ETA=0:03:51 [10/25 13:43:30] d2.evaluation.evaluator INFO: Inference done 716/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0498 s/iter. ETA=0:03:46 [10/25 13:43:35] d2.evaluation.evaluator INFO: Inference done 820/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:03:40 [10/25 13:43:40] d2.evaluation.evaluator INFO: Inference done 922/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:03:34 [10/25 13:43:45] d2.evaluation.evaluator INFO: Inference done 1026/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:03:29 [10/25 13:43:50] d2.evaluation.evaluator INFO: Inference done 1128/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. 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ETA=0:00:18 [10/25 13:47:01] d2.evaluation.evaluator INFO: Inference done 4987/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:13 [10/25 13:47:06] d2.evaluation.evaluator INFO: Inference done 5090/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:08 [10/25 13:47:11] d2.evaluation.evaluator INFO: Inference done 5190/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:03 [10/25 13:47:14] d2.evaluation.evaluator INFO: Total inference time: 0:04:19.996227 (0.049495 s / iter per device, on 1 devices) [10/25 13:47:14] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:12 (0.048056 s / iter per device, on 1 devices) [10/25 13:47:14] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 13:48:13] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 13:48:13] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 13:48:13] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 13:48:13] d2.evaluation.testing INFO: copypaste: 6.4860,13.6277,6.0140 [10/25 13:48:13] d2.utils.events INFO: eta: 1 day, 4:24:04 iter: 13599 total_loss: 2.147 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04453 loss_box_reg_sup: 0.3777 loss_rpn_cls_sup: 0.03243 loss_rpn_loc_sup: 0.3035 loss_cls_unsup: 0.2843 loss_box_reg_unsup: 0.4004 loss_rpn_cls_unsup: 0.3192 loss_rpn_loc_unsup: 0.3554 time: 5.7286 data_time: 0.8046 lr: 0.016 max_mem: 18367M [10/25 13:50:18] d2.utils.events INFO: eta: 1 day, 4:21:54 iter: 13619 total_loss: 2.089 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04151 loss_box_reg_sup: 0.3511 loss_rpn_cls_sup: 0.0346 loss_rpn_loc_sup: 0.3086 loss_cls_unsup: 0.2662 loss_box_reg_unsup: 0.3869 loss_rpn_cls_unsup: 0.3223 loss_rpn_loc_unsup: 0.3842 time: 5.7293 data_time: 0.8205 lr: 0.016 max_mem: 18367M [10/25 13:52:32] d2.utils.events INFO: eta: 1 day, 4:19:53 iter: 13639 total_loss: 2.035 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03849 loss_box_reg_sup: 0.335 loss_rpn_cls_sup: 0.03623 loss_rpn_loc_sup: 0.2998 loss_cls_unsup: 0.2801 loss_box_reg_unsup: 0.3821 loss_rpn_cls_unsup: 0.3079 loss_rpn_loc_unsup: 0.3051 time: 5.7308 data_time: 0.8269 lr: 0.016 max_mem: 18367M [10/25 13:54:43] d2.utils.events INFO: eta: 1 day, 4:17:55 iter: 13659 total_loss: 2.183 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04892 loss_box_reg_sup: 0.4065 loss_rpn_cls_sup: 0.03717 loss_rpn_loc_sup: 0.3429 loss_cls_unsup: 0.2814 loss_box_reg_unsup: 0.393 loss_rpn_cls_unsup: 0.3224 loss_rpn_loc_unsup: 0.3492 time: 5.7320 data_time: 0.8460 lr: 0.016 max_mem: 18367M [10/25 13:56:51] d2.utils.events INFO: eta: 1 day, 4:15:40 iter: 13679 total_loss: 2.124 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04388 loss_box_reg_sup: 0.385 loss_rpn_cls_sup: 0.03861 loss_rpn_loc_sup: 0.3291 loss_cls_unsup: 0.2688 loss_box_reg_unsup: 0.3956 loss_rpn_cls_unsup: 0.3141 loss_rpn_loc_unsup: 0.3583 time: 5.7330 data_time: 0.8091 lr: 0.016 max_mem: 18367M [10/25 13:59:01] d2.utils.events INFO: eta: 1 day, 4:13:17 iter: 13699 total_loss: 2.098 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04329 loss_box_reg_sup: 0.3641 loss_rpn_cls_sup: 0.03632 loss_rpn_loc_sup: 0.3039 loss_cls_unsup: 0.2785 loss_box_reg_unsup: 0.3895 loss_rpn_cls_unsup: 0.3293 loss_rpn_loc_unsup: 0.3452 time: 5.7341 data_time: 0.8070 lr: 0.016 max_mem: 18367M [10/25 14:01:11] d2.utils.events INFO: eta: 1 day, 4:11:12 iter: 13719 total_loss: 2.219 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04012 loss_box_reg_sup: 0.3374 loss_rpn_cls_sup: 0.03565 loss_rpn_loc_sup: 0.3083 loss_cls_unsup: 0.3013 loss_box_reg_unsup: 0.4157 loss_rpn_cls_unsup: 0.3439 loss_rpn_loc_unsup: 0.4674 time: 5.7352 data_time: 0.8186 lr: 0.016 max_mem: 18367M [10/25 14:03:21] d2.utils.events INFO: eta: 1 day, 4:08:11 iter: 13739 total_loss: 2.194 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04461 loss_box_reg_sup: 0.3391 loss_rpn_cls_sup: 0.03859 loss_rpn_loc_sup: 0.3161 loss_cls_unsup: 0.2857 loss_box_reg_unsup: 0.4073 loss_rpn_cls_unsup: 0.3295 loss_rpn_loc_unsup: 0.4056 time: 5.7363 data_time: 0.7888 lr: 0.016 max_mem: 18367M [10/25 14:05:32] d2.utils.events INFO: eta: 1 day, 4:06:39 iter: 13759 total_loss: 2.176 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04237 loss_box_reg_sup: 0.3437 loss_rpn_cls_sup: 0.03424 loss_rpn_loc_sup: 0.3216 loss_cls_unsup: 0.2917 loss_box_reg_unsup: 0.4067 loss_rpn_cls_unsup: 0.3425 loss_rpn_loc_unsup: 0.3894 time: 5.7375 data_time: 0.8737 lr: 0.016 max_mem: 18367M [10/25 14:07:37] d2.utils.events INFO: eta: 1 day, 4:04:34 iter: 13779 total_loss: 2.158 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03963 loss_box_reg_sup: 0.3494 loss_rpn_cls_sup: 0.03741 loss_rpn_loc_sup: 0.3106 loss_cls_unsup: 0.2689 loss_box_reg_unsup: 0.3935 loss_rpn_cls_unsup: 0.3319 loss_rpn_loc_unsup: 0.3922 time: 5.7382 data_time: 0.8339 lr: 0.016 max_mem: 18367M [10/25 14:09:42] d2.utils.events INFO: eta: 1 day, 4:02:30 iter: 13799 total_loss: 2.164 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03938 loss_box_reg_sup: 0.3762 loss_rpn_cls_sup: 0.03553 loss_rpn_loc_sup: 0.3087 loss_cls_unsup: 0.2836 loss_box_reg_unsup: 0.3949 loss_rpn_cls_unsup: 0.3277 loss_rpn_loc_unsup: 0.3567 time: 5.7390 data_time: 0.8102 lr: 0.016 max_mem: 18367M [10/25 14:11:47] d2.utils.events INFO: eta: 1 day, 3:59:35 iter: 13819 total_loss: 2.107 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03853 loss_box_reg_sup: 0.3491 loss_rpn_cls_sup: 0.03502 loss_rpn_loc_sup: 0.3066 loss_cls_unsup: 0.2728 loss_box_reg_unsup: 0.4015 loss_rpn_cls_unsup: 0.3108 loss_rpn_loc_unsup: 0.353 time: 5.7397 data_time: 0.8238 lr: 0.016 max_mem: 18367M [10/25 14:13:55] d2.utils.events INFO: eta: 1 day, 3:56:54 iter: 13839 total_loss: 2.126 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04287 loss_box_reg_sup: 0.3665 loss_rpn_cls_sup: 0.03705 loss_rpn_loc_sup: 0.3257 loss_cls_unsup: 0.28 loss_box_reg_unsup: 0.3859 loss_rpn_cls_unsup: 0.3172 loss_rpn_loc_unsup: 0.3651 time: 5.7407 data_time: 0.8185 lr: 0.016 max_mem: 18367M [10/25 14:16:00] d2.utils.events INFO: eta: 1 day, 3:54:53 iter: 13859 total_loss: 2.133 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03916 loss_box_reg_sup: 0.3734 loss_rpn_cls_sup: 0.03799 loss_rpn_loc_sup: 0.3122 loss_cls_unsup: 0.278 loss_box_reg_unsup: 0.4129 loss_rpn_cls_unsup: 0.3364 loss_rpn_loc_unsup: 0.3828 time: 5.7414 data_time: 0.7931 lr: 0.016 max_mem: 18367M [10/25 14:18:09] d2.utils.events INFO: eta: 1 day, 3:52:33 iter: 13879 total_loss: 2.142 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04042 loss_box_reg_sup: 0.3578 loss_rpn_cls_sup: 0.0362 loss_rpn_loc_sup: 0.3236 loss_cls_unsup: 0.2812 loss_box_reg_unsup: 0.3989 loss_rpn_cls_unsup: 0.3354 loss_rpn_loc_unsup: 0.3685 time: 5.7425 data_time: 0.8251 lr: 0.016 max_mem: 18367M [10/25 14:20:15] d2.utils.events INFO: eta: 1 day, 3:50:03 iter: 13899 total_loss: 2.168 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04255 loss_box_reg_sup: 0.399 loss_rpn_cls_sup: 0.03594 loss_rpn_loc_sup: 0.33 loss_cls_unsup: 0.28 loss_box_reg_unsup: 0.3952 loss_rpn_cls_unsup: 0.3291 loss_rpn_loc_unsup: 0.366 time: 5.7432 data_time: 0.7874 lr: 0.016 max_mem: 18367M [10/25 14:22:24] d2.utils.events INFO: eta: 1 day, 3:48:06 iter: 13919 total_loss: 2.186 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04094 loss_box_reg_sup: 0.3654 loss_rpn_cls_sup: 0.03881 loss_rpn_loc_sup: 0.3225 loss_cls_unsup: 0.2704 loss_box_reg_unsup: 0.3953 loss_rpn_cls_unsup: 0.3324 loss_rpn_loc_unsup: 0.4113 time: 5.7443 data_time: 0.8295 lr: 0.016 max_mem: 18367M [10/25 14:24:29] d2.utils.events INFO: eta: 1 day, 3:45:39 iter: 13939 total_loss: 2.126 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04191 loss_box_reg_sup: 0.352 loss_rpn_cls_sup: 0.03786 loss_rpn_loc_sup: 0.2989 loss_cls_unsup: 0.2696 loss_box_reg_unsup: 0.3973 loss_rpn_cls_unsup: 0.3408 loss_rpn_loc_unsup: 0.379 time: 5.7449 data_time: 0.8375 lr: 0.016 max_mem: 18367M [10/25 14:26:34] d2.utils.events INFO: eta: 1 day, 3:43:21 iter: 13959 total_loss: 2.1 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03894 loss_box_reg_sup: 0.3533 loss_rpn_cls_sup: 0.03769 loss_rpn_loc_sup: 0.2951 loss_cls_unsup: 0.2745 loss_box_reg_unsup: 0.3867 loss_rpn_cls_unsup: 0.3224 loss_rpn_loc_unsup: 0.3818 time: 5.7457 data_time: 0.8158 lr: 0.016 max_mem: 18367M [10/25 14:28:39] d2.utils.events INFO: eta: 1 day, 3:41:12 iter: 13979 total_loss: 2.203 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04097 loss_box_reg_sup: 0.3505 loss_rpn_cls_sup: 0.03683 loss_rpn_loc_sup: 0.3038 loss_cls_unsup: 0.2843 loss_box_reg_unsup: 0.3903 loss_rpn_cls_unsup: 0.3683 loss_rpn_loc_unsup: 0.4231 time: 5.7464 data_time: 0.8044 lr: 0.016 max_mem: 18367M [10/25 14:30:49] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 14:30:49] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 14:30:49] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 14:30:49] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 14:30:50] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0469 s/iter. Eval: 0.0006 s/iter. Total: 0.0485 s/iter. ETA=0:04:14 [10/25 14:30:55] d2.evaluation.evaluator INFO: Inference done 128/5258. Dataloading: 0.0010 s/iter. Inference: 0.0414 s/iter. Eval: 0.0006 s/iter. Total: 0.0431 s/iter. ETA=0:03:40 [10/25 14:31:00] d2.evaluation.evaluator INFO: Inference done 247/5258. Dataloading: 0.0011 s/iter. Inference: 0.0410 s/iter. Eval: 0.0006 s/iter. Total: 0.0427 s/iter. ETA=0:03:34 [10/25 14:31:05] d2.evaluation.evaluator INFO: Inference done 371/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0006 s/iter. Total: 0.0419 s/iter. ETA=0:03:25 [10/25 14:31:10] d2.evaluation.evaluator INFO: Inference done 490/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0006 s/iter. Total: 0.0420 s/iter. ETA=0:03:20 [10/25 14:31:15] d2.evaluation.evaluator INFO: Inference done 615/5258. Dataloading: 0.0011 s/iter. Inference: 0.0399 s/iter. Eval: 0.0006 s/iter. Total: 0.0416 s/iter. ETA=0:03:13 [10/25 14:31:20] d2.evaluation.evaluator INFO: Inference done 738/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0006 s/iter. Total: 0.0414 s/iter. ETA=0:03:07 [10/25 14:31:25] d2.evaluation.evaluator INFO: Inference done 849/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0006 s/iter. Total: 0.0419 s/iter. ETA=0:03:04 [10/25 14:31:30] d2.evaluation.evaluator INFO: Inference done 968/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0006 s/iter. Total: 0.0420 s/iter. ETA=0:02:59 [10/25 14:31:35] d2.evaluation.evaluator INFO: Inference done 1080/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0006 s/iter. Total: 0.0423 s/iter. ETA=0:02:56 [10/25 14:31:40] d2.evaluation.evaluator INFO: Inference done 1203/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0006 s/iter. Total: 0.0421 s/iter. ETA=0:02:50 [10/25 14:31:45] d2.evaluation.evaluator INFO: Inference done 1320/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0006 s/iter. Total: 0.0422 s/iter. ETA=0:02:46 [10/25 14:31:50] d2.evaluation.evaluator INFO: Inference done 1445/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0006 s/iter. Total: 0.0420 s/iter. ETA=0:02:40 [10/25 14:31:55] d2.evaluation.evaluator INFO: Inference done 1552/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0006 s/iter. Total: 0.0423 s/iter. ETA=0:02:36 [10/25 14:32:00] d2.evaluation.evaluator INFO: Inference done 1677/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0006 s/iter. Total: 0.0422 s/iter. ETA=0:02:30 [10/25 14:32:05] d2.evaluation.evaluator INFO: Inference done 1799/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0006 s/iter. Total: 0.0421 s/iter. ETA=0:02:25 [10/25 14:32:10] d2.evaluation.evaluator INFO: Inference done 1908/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0006 s/iter. Total: 0.0423 s/iter. ETA=0:02:21 [10/25 14:32:15] d2.evaluation.evaluator INFO: Inference done 2024/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0006 s/iter. Total: 0.0424 s/iter. ETA=0:02:17 [10/25 14:32:20] d2.evaluation.evaluator INFO: Inference done 2139/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0006 s/iter. Total: 0.0425 s/iter. ETA=0:02:12 [10/25 14:32:25] d2.evaluation.evaluator INFO: Inference done 2262/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0006 s/iter. Total: 0.0424 s/iter. ETA=0:02:06 [10/25 14:32:30] d2.evaluation.evaluator INFO: Inference done 2380/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0006 s/iter. Total: 0.0424 s/iter. ETA=0:02:02 [10/25 14:32:35] d2.evaluation.evaluator INFO: Inference done 2494/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0006 s/iter. Total: 0.0425 s/iter. ETA=0:01:57 [10/25 14:32:40] d2.evaluation.evaluator INFO: Inference done 2617/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0006 s/iter. Total: 0.0424 s/iter. ETA=0:01:51 [10/25 14:32:46] d2.evaluation.evaluator INFO: Inference done 2748/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0006 s/iter. Total: 0.0422 s/iter. ETA=0:01:45 [10/25 14:32:51] d2.evaluation.evaluator INFO: Inference done 2875/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0006 s/iter. Total: 0.0421 s/iter. ETA=0:01:40 [10/25 14:32:56] d2.evaluation.evaluator INFO: Inference done 2985/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0006 s/iter. Total: 0.0422 s/iter. ETA=0:01:35 [10/25 14:33:01] d2.evaluation.evaluator INFO: Inference done 3107/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0006 s/iter. Total: 0.0422 s/iter. ETA=0:01:30 [10/25 14:33:06] d2.evaluation.evaluator INFO: Inference done 3217/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0006 s/iter. Total: 0.0423 s/iter. ETA=0:01:26 [10/25 14:33:11] d2.evaluation.evaluator INFO: Inference done 3332/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0006 s/iter. Total: 0.0423 s/iter. ETA=0:01:21 [10/25 14:33:16] d2.evaluation.evaluator INFO: Inference done 3451/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0006 s/iter. Total: 0.0423 s/iter. ETA=0:01:16 [10/25 14:33:21] d2.evaluation.evaluator INFO: Inference done 3551/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0006 s/iter. Total: 0.0426 s/iter. ETA=0:01:12 [10/25 14:33:26] d2.evaluation.evaluator INFO: Inference done 3678/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0006 s/iter. Total: 0.0425 s/iter. ETA=0:01:07 [10/25 14:33:31] d2.evaluation.evaluator INFO: Inference done 3797/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0006 s/iter. Total: 0.0424 s/iter. ETA=0:01:02 [10/25 14:33:36] d2.evaluation.evaluator INFO: Inference done 3912/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0006 s/iter. Total: 0.0425 s/iter. ETA=0:00:57 [10/25 14:33:41] d2.evaluation.evaluator INFO: Inference done 4038/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0006 s/iter. Total: 0.0424 s/iter. ETA=0:00:51 [10/25 14:33:46] d2.evaluation.evaluator INFO: Inference done 4153/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0006 s/iter. Total: 0.0424 s/iter. ETA=0:00:46 [10/25 14:33:51] d2.evaluation.evaluator INFO: Inference done 4272/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0006 s/iter. Total: 0.0424 s/iter. ETA=0:00:41 [10/25 14:33:56] d2.evaluation.evaluator INFO: Inference done 4399/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0006 s/iter. Total: 0.0423 s/iter. ETA=0:00:36 [10/25 14:34:01] d2.evaluation.evaluator INFO: Inference done 4521/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0006 s/iter. Total: 0.0423 s/iter. ETA=0:00:31 [10/25 14:34:06] d2.evaluation.evaluator INFO: Inference done 4640/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0006 s/iter. Total: 0.0423 s/iter. ETA=0:00:26 [10/25 14:34:11] d2.evaluation.evaluator INFO: Inference done 4762/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0006 s/iter. Total: 0.0423 s/iter. ETA=0:00:20 [10/25 14:34:16] d2.evaluation.evaluator INFO: Inference done 4878/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0006 s/iter. Total: 0.0423 s/iter. ETA=0:00:16 [10/25 14:34:21] d2.evaluation.evaluator INFO: Inference done 4988/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0006 s/iter. Total: 0.0424 s/iter. ETA=0:00:11 [10/25 14:34:26] d2.evaluation.evaluator INFO: Inference done 5105/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0006 s/iter. Total: 0.0424 s/iter. ETA=0:00:06 [10/25 14:34:31] d2.evaluation.evaluator INFO: Inference done 5221/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0006 s/iter. Total: 0.0424 s/iter. ETA=0:00:01 [10/25 14:34:33] d2.evaluation.evaluator INFO: Total inference time: 0:03:42.937236 (0.042440 s / iter per device, on 1 devices) [10/25 14:34:33] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:34 (0.040739 s / iter per device, on 1 devices) [10/25 14:34:33] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 14:36:13] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 14:36:13] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 14:36:13] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 14:36:13] d2.evaluation.testing INFO: copypaste: 5.4757,12.1499,4.6304 [10/25 14:36:15] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 14:36:15] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 14:36:15] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 14:36:15] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 14:36:16] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0495 s/iter. Eval: 0.0005 s/iter. Total: 0.0509 s/iter. ETA=0:04:27 [10/25 14:36:21] d2.evaluation.evaluator INFO: Inference done 111/5258. Dataloading: 0.0010 s/iter. Inference: 0.0488 s/iter. Eval: 0.0004 s/iter. Total: 0.0503 s/iter. ETA=0:04:18 [10/25 14:36:26] d2.evaluation.evaluator INFO: Inference done 212/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0004 s/iter. Total: 0.0499 s/iter. ETA=0:04:12 [10/25 14:36:31] d2.evaluation.evaluator INFO: Inference done 314/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0498 s/iter. ETA=0:04:06 [10/25 14:36:36] d2.evaluation.evaluator INFO: Inference done 415/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0498 s/iter. ETA=0:04:01 [10/25 14:36:41] d2.evaluation.evaluator INFO: Inference done 517/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:03:55 [10/25 14:36:46] d2.evaluation.evaluator INFO: Inference done 620/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:03:49 [10/25 14:36:51] d2.evaluation.evaluator INFO: Inference done 719/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:03:45 [10/25 14:36:56] d2.evaluation.evaluator INFO: Inference done 820/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:03:40 [10/25 14:37:02] d2.evaluation.evaluator INFO: Inference done 921/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:03:35 [10/25 14:37:07] d2.evaluation.evaluator INFO: Inference done 1023/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:03:30 [10/25 14:37:12] d2.evaluation.evaluator INFO: Inference done 1124/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:03:25 [10/25 14:37:17] d2.evaluation.evaluator INFO: Inference done 1225/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:03:20 [10/25 14:37:22] d2.evaluation.evaluator INFO: Inference done 1328/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:03:15 [10/25 14:37:27] d2.evaluation.evaluator INFO: Inference done 1430/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:03:09 [10/25 14:37:32] d2.evaluation.evaluator INFO: Inference done 1529/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:03:05 [10/25 14:37:37] d2.evaluation.evaluator INFO: Inference done 1627/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0498 s/iter. ETA=0:03:00 [10/25 14:37:42] d2.evaluation.evaluator INFO: Inference done 1727/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0498 s/iter. ETA=0:02:55 [10/25 14:37:47] d2.evaluation.evaluator INFO: Inference done 1828/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0498 s/iter. ETA=0:02:50 [10/25 14:37:52] d2.evaluation.evaluator INFO: Inference done 1930/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0498 s/iter. ETA=0:02:45 [10/25 14:37:57] d2.evaluation.evaluator INFO: Inference done 2029/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0498 s/iter. ETA=0:02:40 [10/25 14:38:02] d2.evaluation.evaluator INFO: Inference done 2132/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0498 s/iter. ETA=0:02:35 [10/25 14:38:07] d2.evaluation.evaluator INFO: Inference done 2232/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0498 s/iter. ETA=0:02:30 [10/25 14:38:12] d2.evaluation.evaluator INFO: Inference done 2335/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:02:25 [10/25 14:38:17] d2.evaluation.evaluator INFO: Inference done 2437/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:02:20 [10/25 14:38:22] d2.evaluation.evaluator INFO: Inference done 2539/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:02:15 [10/25 14:38:27] d2.evaluation.evaluator INFO: Inference done 2639/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:02:10 [10/25 14:38:32] d2.evaluation.evaluator INFO: Inference done 2739/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:02:05 [10/25 14:38:37] d2.evaluation.evaluator INFO: Inference done 2840/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:02:00 [10/25 14:38:42] d2.evaluation.evaluator INFO: Inference done 2941/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:01:55 [10/25 14:38:47] d2.evaluation.evaluator INFO: Inference done 3045/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:01:49 [10/25 14:38:52] d2.evaluation.evaluator INFO: Inference done 3148/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:01:44 [10/25 14:38:57] d2.evaluation.evaluator INFO: Inference done 3249/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:01:39 [10/25 14:39:02] d2.evaluation.evaluator INFO: Inference done 3349/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:01:34 [10/25 14:39:07] d2.evaluation.evaluator INFO: Inference done 3451/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:01:29 [10/25 14:39:12] d2.evaluation.evaluator INFO: Inference done 3554/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:01:24 [10/25 14:39:17] d2.evaluation.evaluator INFO: Inference done 3654/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:01:19 [10/25 14:39:22] d2.evaluation.evaluator INFO: Inference done 3756/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0497 s/iter. ETA=0:01:14 [10/25 14:39:27] d2.evaluation.evaluator INFO: Inference done 3858/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:01:09 [10/25 14:39:32] d2.evaluation.evaluator INFO: Inference done 3959/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:01:04 [10/25 14:39:37] d2.evaluation.evaluator INFO: Inference done 4061/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:00:59 [10/25 14:39:42] d2.evaluation.evaluator INFO: Inference done 4164/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:00:54 [10/25 14:39:47] d2.evaluation.evaluator INFO: Inference done 4265/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:00:49 [10/25 14:39:52] d2.evaluation.evaluator INFO: Inference done 4367/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:00:44 [10/25 14:39:57] d2.evaluation.evaluator INFO: Inference done 4468/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:00:39 [10/25 14:40:02] d2.evaluation.evaluator INFO: Inference done 4569/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:00:34 [10/25 14:40:07] d2.evaluation.evaluator INFO: Inference done 4672/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:00:29 [10/25 14:40:12] d2.evaluation.evaluator INFO: Inference done 4774/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:00:24 [10/25 14:40:17] d2.evaluation.evaluator INFO: Inference done 4875/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:00:18 [10/25 14:40:23] d2.evaluation.evaluator INFO: Inference done 4976/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:00:13 [10/25 14:40:28] d2.evaluation.evaluator INFO: Inference done 5077/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:00:08 [10/25 14:40:33] d2.evaluation.evaluator INFO: Inference done 5178/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:00:03 [10/25 14:40:37] d2.evaluation.evaluator INFO: Total inference time: 0:04:20.633862 (0.049616 s / iter per device, on 1 devices) [10/25 14:40:37] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:12 (0.048140 s / iter per device, on 1 devices) [10/25 14:40:37] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 14:41:35] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 14:41:35] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 14:41:35] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 14:41:35] d2.evaluation.testing INFO: copypaste: 6.4586,13.5155,5.9672 [10/25 14:41:35] d2.utils.events INFO: eta: 1 day, 3:38:00 iter: 13999 total_loss: 2.167 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04179 loss_box_reg_sup: 0.3564 loss_rpn_cls_sup: 0.03907 loss_rpn_loc_sup: 0.3204 loss_cls_unsup: 0.2842 loss_box_reg_unsup: 0.399 loss_rpn_cls_unsup: 0.3268 loss_rpn_loc_unsup: 0.3943 time: 5.7470 data_time: 0.8155 lr: 0.016 max_mem: 18367M [10/25 14:43:42] d2.utils.events INFO: eta: 1 day, 3:35:56 iter: 14019 total_loss: 2.14 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0399 loss_box_reg_sup: 0.3615 loss_rpn_cls_sup: 0.0355 loss_rpn_loc_sup: 0.3048 loss_cls_unsup: 0.2856 loss_box_reg_unsup: 0.4223 loss_rpn_cls_unsup: 0.3298 loss_rpn_loc_unsup: 0.3719 time: 5.7478 data_time: 0.8227 lr: 0.016 max_mem: 18367M [10/25 14:45:45] d2.utils.events INFO: eta: 1 day, 3:32:52 iter: 14039 total_loss: 2.155 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03981 loss_box_reg_sup: 0.3766 loss_rpn_cls_sup: 0.03779 loss_rpn_loc_sup: 0.3146 loss_cls_unsup: 0.2861 loss_box_reg_unsup: 0.394 loss_rpn_cls_unsup: 0.3343 loss_rpn_loc_unsup: 0.3783 time: 5.7484 data_time: 0.7987 lr: 0.016 max_mem: 18367M [10/25 14:47:55] d2.utils.events INFO: eta: 1 day, 3:29:56 iter: 14059 total_loss: 2.085 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04074 loss_box_reg_sup: 0.3502 loss_rpn_cls_sup: 0.03828 loss_rpn_loc_sup: 0.3113 loss_cls_unsup: 0.2772 loss_box_reg_unsup: 0.3914 loss_rpn_cls_unsup: 0.331 loss_rpn_loc_unsup: 0.3352 time: 5.7495 data_time: 0.8054 lr: 0.016 max_mem: 18367M [10/25 14:49:59] d2.utils.events INFO: eta: 1 day, 3:27:39 iter: 14079 total_loss: 2.192 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04273 loss_box_reg_sup: 0.3688 loss_rpn_cls_sup: 0.03651 loss_rpn_loc_sup: 0.3082 loss_cls_unsup: 0.2783 loss_box_reg_unsup: 0.4061 loss_rpn_cls_unsup: 0.3462 loss_rpn_loc_unsup: 0.3623 time: 5.7501 data_time: 0.8061 lr: 0.016 max_mem: 18367M [10/25 14:52:07] d2.utils.events INFO: eta: 1 day, 3:25:29 iter: 14099 total_loss: 2.183 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04529 loss_box_reg_sup: 0.3736 loss_rpn_cls_sup: 0.03966 loss_rpn_loc_sup: 0.3172 loss_cls_unsup: 0.2683 loss_box_reg_unsup: 0.3942 loss_rpn_cls_unsup: 0.3343 loss_rpn_loc_unsup: 0.3921 time: 5.7511 data_time: 0.8220 lr: 0.016 max_mem: 18367M [10/25 14:54:11] d2.utils.events INFO: eta: 1 day, 3:23:08 iter: 14119 total_loss: 2.193 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03922 loss_box_reg_sup: 0.345 loss_rpn_cls_sup: 0.03725 loss_rpn_loc_sup: 0.2911 loss_cls_unsup: 0.292 loss_box_reg_unsup: 0.4404 loss_rpn_cls_unsup: 0.3627 loss_rpn_loc_unsup: 0.3978 time: 5.7517 data_time: 0.8174 lr: 0.016 max_mem: 18367M [10/25 14:56:19] d2.utils.events INFO: eta: 1 day, 3:21:17 iter: 14139 total_loss: 2.18 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03891 loss_box_reg_sup: 0.3559 loss_rpn_cls_sup: 0.03689 loss_rpn_loc_sup: 0.3175 loss_cls_unsup: 0.2787 loss_box_reg_unsup: 0.4111 loss_rpn_cls_unsup: 0.3465 loss_rpn_loc_unsup: 0.388 time: 5.7526 data_time: 0.8398 lr: 0.016 max_mem: 18367M [10/25 14:58:26] d2.utils.events INFO: eta: 1 day, 3:19:25 iter: 14159 total_loss: 2.231 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04151 loss_box_reg_sup: 0.3618 loss_rpn_cls_sup: 0.0394 loss_rpn_loc_sup: 0.3291 loss_cls_unsup: 0.2847 loss_box_reg_unsup: 0.4189 loss_rpn_cls_unsup: 0.3504 loss_rpn_loc_unsup: 0.4038 time: 5.7535 data_time: 0.8486 lr: 0.016 max_mem: 18367M [10/25 15:00:30] d2.utils.events INFO: eta: 1 day, 3:17:21 iter: 14179 total_loss: 2.136 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04218 loss_box_reg_sup: 0.3977 loss_rpn_cls_sup: 0.03601 loss_rpn_loc_sup: 0.329 loss_cls_unsup: 0.2722 loss_box_reg_unsup: 0.3937 loss_rpn_cls_unsup: 0.326 loss_rpn_loc_unsup: 0.337 time: 5.7541 data_time: 0.8481 lr: 0.016 max_mem: 18367M [10/25 15:02:36] d2.utils.events INFO: eta: 1 day, 3:15:13 iter: 14199 total_loss: 2.148 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04346 loss_box_reg_sup: 0.3534 loss_rpn_cls_sup: 0.03623 loss_rpn_loc_sup: 0.3104 loss_cls_unsup: 0.2677 loss_box_reg_unsup: 0.3944 loss_rpn_cls_unsup: 0.3351 loss_rpn_loc_unsup: 0.4055 time: 5.7548 data_time: 0.8266 lr: 0.016 max_mem: 18367M [10/25 15:04:43] d2.utils.events INFO: eta: 1 day, 3:13:06 iter: 14219 total_loss: 2.089 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04114 loss_box_reg_sup: 0.3772 loss_rpn_cls_sup: 0.03237 loss_rpn_loc_sup: 0.2915 loss_cls_unsup: 0.2932 loss_box_reg_unsup: 0.3987 loss_rpn_cls_unsup: 0.3249 loss_rpn_loc_unsup: 0.3385 time: 5.7557 data_time: 0.8684 lr: 0.016 max_mem: 18367M [10/25 15:06:47] d2.utils.events INFO: eta: 1 day, 3:11:08 iter: 14239 total_loss: 2.142 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.039 loss_box_reg_sup: 0.3508 loss_rpn_cls_sup: 0.03476 loss_rpn_loc_sup: 0.3118 loss_cls_unsup: 0.2742 loss_box_reg_unsup: 0.3904 loss_rpn_cls_unsup: 0.3584 loss_rpn_loc_unsup: 0.3767 time: 5.7563 data_time: 0.8162 lr: 0.016 max_mem: 18367M [10/25 15:08:56] d2.utils.events INFO: eta: 1 day, 3:09:05 iter: 14259 total_loss: 2.099 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03977 loss_box_reg_sup: 0.3611 loss_rpn_cls_sup: 0.03411 loss_rpn_loc_sup: 0.3214 loss_cls_unsup: 0.2749 loss_box_reg_unsup: 0.3946 loss_rpn_cls_unsup: 0.3184 loss_rpn_loc_unsup: 0.3486 time: 5.7573 data_time: 0.8114 lr: 0.016 max_mem: 18367M [10/25 15:11:02] d2.utils.events INFO: eta: 1 day, 3:06:53 iter: 14279 total_loss: 2.131 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04089 loss_box_reg_sup: 0.368 loss_rpn_cls_sup: 0.03583 loss_rpn_loc_sup: 0.3169 loss_cls_unsup: 0.2752 loss_box_reg_unsup: 0.3991 loss_rpn_cls_unsup: 0.3199 loss_rpn_loc_unsup: 0.4042 time: 5.7580 data_time: 0.8479 lr: 0.016 max_mem: 18367M [10/25 15:13:08] d2.utils.events INFO: eta: 1 day, 3:05:15 iter: 14299 total_loss: 2.214 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04181 loss_box_reg_sup: 0.3652 loss_rpn_cls_sup: 0.03611 loss_rpn_loc_sup: 0.3333 loss_cls_unsup: 0.2827 loss_box_reg_unsup: 0.4084 loss_rpn_cls_unsup: 0.3361 loss_rpn_loc_unsup: 0.3993 time: 5.7588 data_time: 0.8362 lr: 0.016 max_mem: 18367M [10/25 15:15:17] d2.utils.events INFO: eta: 1 day, 3:03:14 iter: 14319 total_loss: 2.201 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04384 loss_box_reg_sup: 0.3724 loss_rpn_cls_sup: 0.03625 loss_rpn_loc_sup: 0.315 loss_cls_unsup: 0.2726 loss_box_reg_unsup: 0.4044 loss_rpn_cls_unsup: 0.3487 loss_rpn_loc_unsup: 0.4078 time: 5.7598 data_time: 0.7985 lr: 0.016 max_mem: 18367M [10/25 15:17:22] d2.utils.events INFO: eta: 1 day, 3:01:10 iter: 14339 total_loss: 2.228 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04222 loss_box_reg_sup: 0.3658 loss_rpn_cls_sup: 0.03953 loss_rpn_loc_sup: 0.3338 loss_cls_unsup: 0.2714 loss_box_reg_unsup: 0.4254 loss_rpn_cls_unsup: 0.3432 loss_rpn_loc_unsup: 0.4121 time: 5.7605 data_time: 0.8319 lr: 0.016 max_mem: 18367M [10/25 15:19:34] d2.utils.events INFO: eta: 1 day, 2:59:35 iter: 14359 total_loss: 2.243 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04272 loss_box_reg_sup: 0.3783 loss_rpn_cls_sup: 0.0381 loss_rpn_loc_sup: 0.3184 loss_cls_unsup: 0.2784 loss_box_reg_unsup: 0.4161 loss_rpn_cls_unsup: 0.3348 loss_rpn_loc_unsup: 0.4207 time: 5.7616 data_time: 0.7849 lr: 0.016 max_mem: 18367M [10/25 15:21:38] d2.utils.events INFO: eta: 1 day, 2:57:36 iter: 14379 total_loss: 2.139 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03963 loss_box_reg_sup: 0.3566 loss_rpn_cls_sup: 0.03567 loss_rpn_loc_sup: 0.3072 loss_cls_unsup: 0.2827 loss_box_reg_unsup: 0.4023 loss_rpn_cls_unsup: 0.3406 loss_rpn_loc_unsup: 0.3834 time: 5.7622 data_time: 0.8040 lr: 0.016 max_mem: 18367M [10/25 15:23:50] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 15:23:51] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 15:23:51] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 15:23:51] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 15:23:52] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0500 s/iter. Eval: 0.0005 s/iter. Total: 0.0515 s/iter. ETA=0:04:30 [10/25 15:23:57] d2.evaluation.evaluator INFO: Inference done 130/5258. Dataloading: 0.0010 s/iter. Inference: 0.0413 s/iter. Eval: 0.0005 s/iter. Total: 0.0428 s/iter. ETA=0:03:39 [10/25 15:24:02] d2.evaluation.evaluator INFO: Inference done 244/5258. Dataloading: 0.0011 s/iter. Inference: 0.0418 s/iter. Eval: 0.0005 s/iter. Total: 0.0434 s/iter. ETA=0:03:37 [10/25 15:24:07] d2.evaluation.evaluator INFO: Inference done 365/5258. Dataloading: 0.0011 s/iter. Inference: 0.0413 s/iter. Eval: 0.0005 s/iter. Total: 0.0428 s/iter. ETA=0:03:29 [10/25 15:24:12] d2.evaluation.evaluator INFO: Inference done 490/5258. Dataloading: 0.0010 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:03:21 [10/25 15:24:17] d2.evaluation.evaluator INFO: Inference done 611/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:03:15 [10/25 15:24:22] d2.evaluation.evaluator INFO: Inference done 730/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:03:10 [10/25 15:24:27] d2.evaluation.evaluator INFO: Inference done 852/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:03:04 [10/25 15:24:32] d2.evaluation.evaluator INFO: Inference done 976/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:02:58 [10/25 15:24:37] d2.evaluation.evaluator INFO: Inference done 1090/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:02:54 [10/25 15:24:42] d2.evaluation.evaluator INFO: Inference done 1215/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:02:49 [10/25 15:24:47] d2.evaluation.evaluator INFO: Inference done 1328/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:02:45 [10/25 15:24:52] d2.evaluation.evaluator INFO: Inference done 1449/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:02:39 [10/25 15:24:57] d2.evaluation.evaluator INFO: Inference done 1569/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:02:34 [10/25 15:25:02] d2.evaluation.evaluator INFO: Inference done 1692/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:02:29 [10/25 15:25:07] d2.evaluation.evaluator INFO: Inference done 1816/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:02:23 [10/25 15:25:12] d2.evaluation.evaluator INFO: Inference done 1940/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:02:18 [10/25 15:25:17] d2.evaluation.evaluator INFO: Inference done 2062/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:02:13 [10/25 15:25:22] d2.evaluation.evaluator INFO: Inference done 2169/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:02:09 [10/25 15:25:27] d2.evaluation.evaluator INFO: Inference done 2290/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:02:04 [10/25 15:25:32] d2.evaluation.evaluator INFO: Inference done 2408/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:01:59 [10/25 15:25:37] d2.evaluation.evaluator INFO: Inference done 2537/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:01:53 [10/25 15:25:42] d2.evaluation.evaluator INFO: Inference done 2662/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:01:48 [10/25 15:25:47] d2.evaluation.evaluator INFO: Inference done 2784/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:01:43 [10/25 15:25:52] d2.evaluation.evaluator INFO: Inference done 2900/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:01:38 [10/25 15:25:57] d2.evaluation.evaluator INFO: Inference done 3023/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:01:33 [10/25 15:26:02] d2.evaluation.evaluator INFO: Inference done 3143/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:01:28 [10/25 15:26:07] d2.evaluation.evaluator INFO: Inference done 3267/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:01:22 [10/25 15:26:12] d2.evaluation.evaluator INFO: Inference done 3392/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:01:17 [10/25 15:26:17] d2.evaluation.evaluator INFO: Inference done 3509/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:01:12 [10/25 15:26:22] d2.evaluation.evaluator INFO: Inference done 3631/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:01:07 [10/25 15:26:27] d2.evaluation.evaluator INFO: Inference done 3759/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:01:02 [10/25 15:26:32] d2.evaluation.evaluator INFO: Inference done 3888/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:00:56 [10/25 15:26:38] d2.evaluation.evaluator INFO: Inference done 4007/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:00:51 [10/25 15:26:43] d2.evaluation.evaluator INFO: Inference done 4127/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:00:46 [10/25 15:26:48] d2.evaluation.evaluator INFO: Inference done 4249/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:00:41 [10/25 15:26:53] d2.evaluation.evaluator INFO: Inference done 4375/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:00:36 [10/25 15:26:58] d2.evaluation.evaluator INFO: Inference done 4505/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:00:31 [10/25 15:27:03] d2.evaluation.evaluator INFO: Inference done 4624/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:00:26 [10/25 15:27:08] d2.evaluation.evaluator INFO: Inference done 4743/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:00:21 [10/25 15:27:13] d2.evaluation.evaluator INFO: Inference done 4861/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:00:16 [10/25 15:27:18] d2.evaluation.evaluator INFO: Inference done 4989/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:00:11 [10/25 15:27:23] d2.evaluation.evaluator INFO: Inference done 5110/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:00:06 [10/25 15:27:28] d2.evaluation.evaluator INFO: Inference done 5233/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:00:01 [10/25 15:27:29] d2.evaluation.evaluator INFO: Total inference time: 0:03:37.336756 (0.041374 s / iter per device, on 1 devices) [10/25 15:27:29] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:29 (0.039849 s / iter per device, on 1 devices) [10/25 15:27:29] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 15:28:39] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 15:28:39] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 15:28:39] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 15:28:39] d2.evaluation.testing INFO: copypaste: 5.8463,12.5599,5.2094 [10/25 15:28:41] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 15:28:41] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 15:28:41] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 15:28:41] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 15:28:42] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:04:18 [10/25 15:28:47] d2.evaluation.evaluator INFO: Inference done 113/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0004 s/iter. Total: 0.0491 s/iter. ETA=0:04:12 [10/25 15:28:52] d2.evaluation.evaluator INFO: Inference done 215/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0004 s/iter. Total: 0.0491 s/iter. ETA=0:04:07 [10/25 15:28:57] d2.evaluation.evaluator INFO: Inference done 317/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0492 s/iter. ETA=0:04:03 [10/25 15:29:02] d2.evaluation.evaluator INFO: Inference done 417/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:03:59 [10/25 15:29:07] d2.evaluation.evaluator INFO: Inference done 517/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:03:55 [10/25 15:29:12] d2.evaluation.evaluator INFO: Inference done 619/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:03:49 [10/25 15:29:17] d2.evaluation.evaluator INFO: Inference done 723/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:03:43 [10/25 15:29:22] d2.evaluation.evaluator INFO: Inference done 827/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0492 s/iter. ETA=0:03:38 [10/25 15:29:27] d2.evaluation.evaluator INFO: Inference done 930/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0004 s/iter. Total: 0.0492 s/iter. ETA=0:03:32 [10/25 15:29:32] d2.evaluation.evaluator INFO: Inference done 1030/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:03:28 [10/25 15:29:37] d2.evaluation.evaluator INFO: Inference done 1131/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:03:23 [10/25 15:29:42] d2.evaluation.evaluator INFO: Inference done 1233/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:03:18 [10/25 15:29:47] d2.evaluation.evaluator INFO: Inference done 1335/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:03:13 [10/25 15:29:52] d2.evaluation.evaluator INFO: Inference done 1433/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:03:09 [10/25 15:29:57] d2.evaluation.evaluator INFO: Inference done 1533/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:03:04 [10/25 15:30:02] d2.evaluation.evaluator INFO: Inference done 1635/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:02:59 [10/25 15:30:07] d2.evaluation.evaluator INFO: Inference done 1737/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:02:54 [10/25 15:30:12] d2.evaluation.evaluator INFO: Inference done 1837/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:02:49 [10/25 15:30:17] d2.evaluation.evaluator INFO: Inference done 1941/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:02:44 [10/25 15:30:22] d2.evaluation.evaluator INFO: Inference done 2042/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:02:39 [10/25 15:30:27] d2.evaluation.evaluator INFO: Inference done 2144/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:02:34 [10/25 15:30:32] d2.evaluation.evaluator INFO: Inference done 2246/5258. 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ETA=0:01:39 [10/25 15:31:28] d2.evaluation.evaluator INFO: Inference done 3358/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:34 [10/25 15:31:33] d2.evaluation.evaluator INFO: Inference done 3462/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:28 [10/25 15:31:38] d2.evaluation.evaluator INFO: Inference done 3565/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:23 [10/25 15:31:43] d2.evaluation.evaluator INFO: Inference done 3667/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:01:18 [10/25 15:31:48] d2.evaluation.evaluator INFO: Inference done 3766/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:13 [10/25 15:31:53] d2.evaluation.evaluator INFO: Inference done 3872/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:01:08 [10/25 15:31:58] d2.evaluation.evaluator INFO: Inference done 3971/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:03 [10/25 15:32:03] d2.evaluation.evaluator INFO: Inference done 4073/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:58 [10/25 15:32:08] d2.evaluation.evaluator INFO: Inference done 4173/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:53 [10/25 15:32:13] d2.evaluation.evaluator INFO: Inference done 4276/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:48 [10/25 15:32:18] d2.evaluation.evaluator INFO: Inference done 4379/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:43 [10/25 15:32:23] d2.evaluation.evaluator INFO: Inference done 4480/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:38 [10/25 15:32:28] d2.evaluation.evaluator INFO: Inference done 4583/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:33 [10/25 15:32:33] d2.evaluation.evaluator INFO: Inference done 4685/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:28 [10/25 15:32:38] d2.evaluation.evaluator INFO: Inference done 4786/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:23 [10/25 15:32:43] d2.evaluation.evaluator INFO: Inference done 4887/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:18 [10/25 15:32:48] d2.evaluation.evaluator INFO: Inference done 4991/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:13 [10/25 15:32:53] d2.evaluation.evaluator INFO: Inference done 5091/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:08 [10/25 15:32:58] d2.evaluation.evaluator INFO: Inference done 5191/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:03 [10/25 15:33:01] d2.evaluation.evaluator INFO: Total inference time: 0:04:19.780042 (0.049454 s / iter per device, on 1 devices) [10/25 15:33:01] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:12 (0.048003 s / iter per device, on 1 devices) [10/25 15:33:01] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 15:34:02] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 15:34:02] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 15:34:02] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 15:34:02] d2.evaluation.testing INFO: copypaste: 6.4427,13.5015,5.9640 [10/25 15:34:02] d2.utils.events INFO: eta: 1 day, 2:56:48 iter: 14399 total_loss: 2.174 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0425 loss_box_reg_sup: 0.3783 loss_rpn_cls_sup: 0.03698 loss_rpn_loc_sup: 0.3236 loss_cls_unsup: 0.2716 loss_box_reg_unsup: 0.4043 loss_rpn_cls_unsup: 0.3216 loss_rpn_loc_unsup: 0.3925 time: 5.7630 data_time: 0.8316 lr: 0.016 max_mem: 18367M [10/25 15:36:08] d2.utils.events INFO: eta: 1 day, 2:54:47 iter: 14419 total_loss: 2.189 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04205 loss_box_reg_sup: 0.3579 loss_rpn_cls_sup: 0.0354 loss_rpn_loc_sup: 0.3047 loss_cls_unsup: 0.2872 loss_box_reg_unsup: 0.4108 loss_rpn_cls_unsup: 0.3473 loss_rpn_loc_unsup: 0.3843 time: 5.7637 data_time: 0.8296 lr: 0.016 max_mem: 18367M [10/25 15:38:14] d2.utils.events INFO: eta: 1 day, 2:53:03 iter: 14439 total_loss: 2.191 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03952 loss_box_reg_sup: 0.3709 loss_rpn_cls_sup: 0.03482 loss_rpn_loc_sup: 0.3218 loss_cls_unsup: 0.263 loss_box_reg_unsup: 0.4224 loss_rpn_cls_unsup: 0.336 loss_rpn_loc_unsup: 0.4427 time: 5.7645 data_time: 0.8199 lr: 0.016 max_mem: 18367M [10/25 15:40:20] d2.utils.events INFO: eta: 1 day, 2:51:29 iter: 14459 total_loss: 2.21 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04423 loss_box_reg_sup: 0.3553 loss_rpn_cls_sup: 0.0395 loss_rpn_loc_sup: 0.3304 loss_cls_unsup: 0.2762 loss_box_reg_unsup: 0.392 loss_rpn_cls_unsup: 0.3367 loss_rpn_loc_unsup: 0.3975 time: 5.7652 data_time: 0.8095 lr: 0.016 max_mem: 18367M [10/25 15:42:25] d2.utils.events INFO: eta: 1 day, 2:49:56 iter: 14479 total_loss: 2.145 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04166 loss_box_reg_sup: 0.3532 loss_rpn_cls_sup: 0.03729 loss_rpn_loc_sup: 0.3099 loss_cls_unsup: 0.2829 loss_box_reg_unsup: 0.4032 loss_rpn_cls_unsup: 0.351 loss_rpn_loc_unsup: 0.3999 time: 5.7659 data_time: 0.8024 lr: 0.016 max_mem: 18367M [10/25 15:44:32] d2.utils.events INFO: eta: 1 day, 2:48:04 iter: 14499 total_loss: 2.26 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03938 loss_box_reg_sup: 0.3569 loss_rpn_cls_sup: 0.03305 loss_rpn_loc_sup: 0.3026 loss_cls_unsup: 0.2778 loss_box_reg_unsup: 0.4386 loss_rpn_cls_unsup: 0.3439 loss_rpn_loc_unsup: 0.4202 time: 5.7667 data_time: 0.8468 lr: 0.016 max_mem: 18367M [10/25 15:46:38] d2.utils.events INFO: eta: 1 day, 2:46:41 iter: 14519 total_loss: 2.238 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04267 loss_box_reg_sup: 0.3481 loss_rpn_cls_sup: 0.03749 loss_rpn_loc_sup: 0.3268 loss_cls_unsup: 0.2795 loss_box_reg_unsup: 0.405 loss_rpn_cls_unsup: 0.3295 loss_rpn_loc_unsup: 0.4084 time: 5.7674 data_time: 0.8123 lr: 0.016 max_mem: 18367M [10/25 15:48:45] d2.utils.events INFO: eta: 1 day, 2:45:05 iter: 14539 total_loss: 2.171 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04217 loss_box_reg_sup: 0.3508 loss_rpn_cls_sup: 0.03642 loss_rpn_loc_sup: 0.3196 loss_cls_unsup: 0.2835 loss_box_reg_unsup: 0.4182 loss_rpn_cls_unsup: 0.352 loss_rpn_loc_unsup: 0.3938 time: 5.7682 data_time: 0.8153 lr: 0.016 max_mem: 18367M [10/25 15:50:51] d2.utils.events INFO: eta: 1 day, 2:43:00 iter: 14559 total_loss: 2.284 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04284 loss_box_reg_sup: 0.3573 loss_rpn_cls_sup: 0.0394 loss_rpn_loc_sup: 0.3306 loss_cls_unsup: 0.2671 loss_box_reg_unsup: 0.4028 loss_rpn_cls_unsup: 0.3454 loss_rpn_loc_unsup: 0.4504 time: 5.7690 data_time: 0.8138 lr: 0.016 max_mem: 18367M [10/25 15:52:57] d2.utils.events INFO: eta: 1 day, 2:41:25 iter: 14579 total_loss: 2.209 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03827 loss_box_reg_sup: 0.3409 loss_rpn_cls_sup: 0.03436 loss_rpn_loc_sup: 0.2817 loss_cls_unsup: 0.2782 loss_box_reg_unsup: 0.4068 loss_rpn_cls_unsup: 0.3546 loss_rpn_loc_unsup: 0.4205 time: 5.7697 data_time: 0.8441 lr: 0.016 max_mem: 18367M [10/25 15:55:06] d2.utils.events INFO: eta: 1 day, 2:39:59 iter: 14599 total_loss: 2.25 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04304 loss_box_reg_sup: 0.3826 loss_rpn_cls_sup: 0.03699 loss_rpn_loc_sup: 0.3247 loss_cls_unsup: 0.2883 loss_box_reg_unsup: 0.4265 loss_rpn_cls_unsup: 0.3464 loss_rpn_loc_unsup: 0.4317 time: 5.7706 data_time: 0.8258 lr: 0.016 max_mem: 18367M [10/25 15:57:17] d2.utils.events INFO: eta: 1 day, 2:38:00 iter: 14619 total_loss: 2.135 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03877 loss_box_reg_sup: 0.3397 loss_rpn_cls_sup: 0.03688 loss_rpn_loc_sup: 0.3089 loss_cls_unsup: 0.2824 loss_box_reg_unsup: 0.4011 loss_rpn_cls_unsup: 0.3233 loss_rpn_loc_unsup: 0.3884 time: 5.7717 data_time: 0.8169 lr: 0.016 max_mem: 18367M [10/25 15:59:25] d2.utils.events INFO: eta: 1 day, 2:35:55 iter: 14639 total_loss: 2.168 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03948 loss_box_reg_sup: 0.3505 loss_rpn_cls_sup: 0.03692 loss_rpn_loc_sup: 0.3241 loss_cls_unsup: 0.2693 loss_box_reg_unsup: 0.427 loss_rpn_cls_unsup: 0.3149 loss_rpn_loc_unsup: 0.3814 time: 5.7725 data_time: 0.8081 lr: 0.016 max_mem: 18367M [10/25 16:01:32] d2.utils.events INFO: eta: 1 day, 2:33:34 iter: 14659 total_loss: 2.218 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0429 loss_box_reg_sup: 0.3656 loss_rpn_cls_sup: 0.03446 loss_rpn_loc_sup: 0.3031 loss_cls_unsup: 0.2784 loss_box_reg_unsup: 0.4096 loss_rpn_cls_unsup: 0.3336 loss_rpn_loc_unsup: 0.3768 time: 5.7733 data_time: 0.8664 lr: 0.016 max_mem: 18367M [10/25 16:03:39] d2.utils.events INFO: eta: 1 day, 2:32:04 iter: 14679 total_loss: 2.229 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04212 loss_box_reg_sup: 0.3562 loss_rpn_cls_sup: 0.03734 loss_rpn_loc_sup: 0.312 loss_cls_unsup: 0.2731 loss_box_reg_unsup: 0.4517 loss_rpn_cls_unsup: 0.3549 loss_rpn_loc_unsup: 0.401 time: 5.7741 data_time: 0.8383 lr: 0.016 max_mem: 18367M [10/25 16:05:55] d2.utils.events INFO: eta: 1 day, 2:30:30 iter: 14699 total_loss: 2.255 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04253 loss_box_reg_sup: 0.3563 loss_rpn_cls_sup: 0.036 loss_rpn_loc_sup: 0.3244 loss_cls_unsup: 0.2956 loss_box_reg_unsup: 0.4363 loss_rpn_cls_unsup: 0.3299 loss_rpn_loc_unsup: 0.4078 time: 5.7755 data_time: 0.8544 lr: 0.016 max_mem: 18367M [10/25 16:08:04] d2.utils.events INFO: eta: 1 day, 2:28:40 iter: 14719 total_loss: 2.147 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03773 loss_box_reg_sup: 0.347 loss_rpn_cls_sup: 0.03507 loss_rpn_loc_sup: 0.285 loss_cls_unsup: 0.2696 loss_box_reg_unsup: 0.4132 loss_rpn_cls_unsup: 0.3519 loss_rpn_loc_unsup: 0.4012 time: 5.7764 data_time: 0.8511 lr: 0.016 max_mem: 18367M [10/25 16:10:10] d2.utils.events INFO: eta: 1 day, 2:27:42 iter: 14739 total_loss: 2.296 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04552 loss_box_reg_sup: 0.4165 loss_rpn_cls_sup: 0.03822 loss_rpn_loc_sup: 0.332 loss_cls_unsup: 0.2732 loss_box_reg_unsup: 0.4269 loss_rpn_cls_unsup: 0.3371 loss_rpn_loc_unsup: 0.444 time: 5.7771 data_time: 0.8206 lr: 0.016 max_mem: 18367M [10/25 16:12:16] d2.utils.events INFO: eta: 1 day, 2:25:05 iter: 14759 total_loss: 2.247 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04382 loss_box_reg_sup: 0.3926 loss_rpn_cls_sup: 0.03785 loss_rpn_loc_sup: 0.3231 loss_cls_unsup: 0.2784 loss_box_reg_unsup: 0.403 loss_rpn_cls_unsup: 0.354 loss_rpn_loc_unsup: 0.3961 time: 5.7778 data_time: 0.8229 lr: 0.016 max_mem: 18367M [10/25 16:14:21] d2.utils.events INFO: eta: 1 day, 2:22:53 iter: 14779 total_loss: 2.225 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04575 loss_box_reg_sup: 0.3797 loss_rpn_cls_sup: 0.03929 loss_rpn_loc_sup: 0.317 loss_cls_unsup: 0.285 loss_box_reg_unsup: 0.4143 loss_rpn_cls_unsup: 0.3608 loss_rpn_loc_unsup: 0.4082 time: 5.7785 data_time: 0.8221 lr: 0.016 max_mem: 18367M [10/25 16:16:37] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 16:16:37] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 16:16:37] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 16:16:37] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 16:16:38] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0495 s/iter. Eval: 0.0006 s/iter. Total: 0.0508 s/iter. ETA=0:04:26 [10/25 16:16:44] d2.evaluation.evaluator INFO: Inference done 112/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:04:16 [10/25 16:16:49] d2.evaluation.evaluator INFO: Inference done 224/5258. Dataloading: 0.0010 s/iter. Inference: 0.0458 s/iter. Eval: 0.0006 s/iter. Total: 0.0473 s/iter. ETA=0:03:58 [10/25 16:16:54] d2.evaluation.evaluator INFO: Inference done 325/5258. Dataloading: 0.0010 s/iter. 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ETA=0:01:41 [10/25 16:18:44] d2.evaluation.evaluator INFO: Inference done 2985/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:01:35 [10/25 16:18:49] d2.evaluation.evaluator INFO: Inference done 3099/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:01:31 [10/25 16:18:54] d2.evaluation.evaluator INFO: Inference done 3205/5258. Dataloading: 0.0010 s/iter. Inference: 0.0409 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:01:27 [10/25 16:18:59] d2.evaluation.evaluator INFO: Inference done 3331/5258. Dataloading: 0.0010 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:01:21 [10/25 16:19:04] d2.evaluation.evaluator INFO: Inference done 3459/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:01:16 [10/25 16:19:09] d2.evaluation.evaluator INFO: Inference done 3582/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:01:10 [10/25 16:19:14] d2.evaluation.evaluator INFO: Inference done 3711/5258. Dataloading: 0.0010 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:01:05 [10/25 16:19:19] d2.evaluation.evaluator INFO: Inference done 3835/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:00:59 [10/25 16:19:24] d2.evaluation.evaluator INFO: Inference done 3948/5258. Dataloading: 0.0010 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:00:55 [10/25 16:19:29] d2.evaluation.evaluator INFO: Inference done 4070/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:00:49 [10/25 16:19:34] d2.evaluation.evaluator INFO: Inference done 4193/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:00:44 [10/25 16:19:39] d2.evaluation.evaluator INFO: Inference done 4310/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:00:39 [10/25 16:19:44] d2.evaluation.evaluator INFO: Inference done 4426/5258. Dataloading: 0.0010 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:00:35 [10/25 16:19:49] d2.evaluation.evaluator INFO: Inference done 4552/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:00:29 [10/25 16:19:54] d2.evaluation.evaluator INFO: Inference done 4673/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:00:24 [10/25 16:19:59] d2.evaluation.evaluator INFO: Inference done 4802/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:00:19 [10/25 16:20:04] d2.evaluation.evaluator INFO: Inference done 4926/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:00:13 [10/25 16:20:09] d2.evaluation.evaluator INFO: Inference done 5046/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:00:08 [10/25 16:20:14] d2.evaluation.evaluator INFO: Inference done 5166/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:00:03 [10/25 16:20:18] d2.evaluation.evaluator INFO: Total inference time: 0:03:40.068103 (0.041894 s / iter per device, on 1 devices) [10/25 16:20:18] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:31 (0.040355 s / iter per device, on 1 devices) [10/25 16:20:18] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 16:21:42] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 16:21:42] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 16:21:42] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 16:21:42] d2.evaluation.testing INFO: copypaste: 5.3916,11.5529,4.7255 [10/25 16:21:43] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 16:21:43] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 16:21:43] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 16:21:43] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 16:21:44] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0500 s/iter. Eval: 0.0005 s/iter. Total: 0.0514 s/iter. ETA=0:04:29 [10/25 16:21:49] d2.evaluation.evaluator INFO: Inference done 114/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0004 s/iter. Total: 0.0490 s/iter. ETA=0:04:11 [10/25 16:21:55] d2.evaluation.evaluator INFO: Inference done 216/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0004 s/iter. Total: 0.0492 s/iter. ETA=0:04:08 [10/25 16:22:00] d2.evaluation.evaluator INFO: Inference done 317/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:04:03 [10/25 16:22:05] d2.evaluation.evaluator INFO: Inference done 421/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0004 s/iter. Total: 0.0491 s/iter. ETA=0:03:57 [10/25 16:22:10] d2.evaluation.evaluator INFO: Inference done 523/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0004 s/iter. Total: 0.0492 s/iter. ETA=0:03:52 [10/25 16:22:15] d2.evaluation.evaluator INFO: Inference done 625/5258. 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ETA=0:01:38 [10/25 16:24:30] d2.evaluation.evaluator INFO: Inference done 3369/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:01:33 [10/25 16:24:35] d2.evaluation.evaluator INFO: Inference done 3469/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:01:28 [10/25 16:24:40] d2.evaluation.evaluator INFO: Inference done 3570/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:01:23 [10/25 16:24:45] d2.evaluation.evaluator INFO: Inference done 3671/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:18 [10/25 16:24:50] d2.evaluation.evaluator INFO: Inference done 3773/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:13 [10/25 16:24:56] d2.evaluation.evaluator INFO: Inference done 3876/5258. 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ETA=0:00:18 [10/25 16:25:51] d2.evaluation.evaluator INFO: Inference done 4987/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:13 [10/25 16:25:56] d2.evaluation.evaluator INFO: Inference done 5087/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:08 [10/25 16:26:01] d2.evaluation.evaluator INFO: Inference done 5189/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:03 [10/25 16:26:04] d2.evaluation.evaluator INFO: Total inference time: 0:04:20.097624 (0.049514 s / iter per device, on 1 devices) [10/25 16:26:04] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:12 (0.048051 s / iter per device, on 1 devices) [10/25 16:26:04] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 16:27:06] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 16:27:06] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 16:27:06] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 16:27:06] d2.evaluation.testing INFO: copypaste: 6.3890,13.4365,5.9065 [10/25 16:27:06] d2.utils.events INFO: eta: 1 day, 2:21:55 iter: 14799 total_loss: 2.146 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03939 loss_box_reg_sup: 0.3477 loss_rpn_cls_sup: 0.03419 loss_rpn_loc_sup: 0.2905 loss_cls_unsup: 0.2708 loss_box_reg_unsup: 0.4172 loss_rpn_cls_unsup: 0.3335 loss_rpn_loc_unsup: 0.4035 time: 5.7794 data_time: 0.8122 lr: 0.016 max_mem: 18367M [10/25 16:29:14] d2.utils.events INFO: eta: 1 day, 2:20:00 iter: 14819 total_loss: 2.264 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04024 loss_box_reg_sup: 0.3614 loss_rpn_cls_sup: 0.03347 loss_rpn_loc_sup: 0.2958 loss_cls_unsup: 0.27 loss_box_reg_unsup: 0.4081 loss_rpn_cls_unsup: 0.3624 loss_rpn_loc_unsup: 0.4728 time: 5.7803 data_time: 0.8292 lr: 0.016 max_mem: 18367M [10/25 16:31:20] d2.utils.events INFO: eta: 1 day, 2:17:55 iter: 14839 total_loss: 2.193 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04033 loss_box_reg_sup: 0.3876 loss_rpn_cls_sup: 0.0364 loss_rpn_loc_sup: 0.3278 loss_cls_unsup: 0.276 loss_box_reg_unsup: 0.4108 loss_rpn_cls_unsup: 0.3327 loss_rpn_loc_unsup: 0.3801 time: 5.7810 data_time: 0.8382 lr: 0.016 max_mem: 18367M [10/25 16:33:28] d2.utils.events INFO: eta: 1 day, 2:16:06 iter: 14859 total_loss: 2.231 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04126 loss_box_reg_sup: 0.3496 loss_rpn_cls_sup: 0.03842 loss_rpn_loc_sup: 0.3096 loss_cls_unsup: 0.2856 loss_box_reg_unsup: 0.4206 loss_rpn_cls_unsup: 0.3589 loss_rpn_loc_unsup: 0.4121 time: 5.7818 data_time: 0.8225 lr: 0.016 max_mem: 18367M [10/25 16:35:38] d2.utils.events INFO: eta: 1 day, 2:14:07 iter: 14879 total_loss: 2.195 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03946 loss_box_reg_sup: 0.3325 loss_rpn_cls_sup: 0.03504 loss_rpn_loc_sup: 0.3007 loss_cls_unsup: 0.2747 loss_box_reg_unsup: 0.437 loss_rpn_cls_unsup: 0.3415 loss_rpn_loc_unsup: 0.4087 time: 5.7827 data_time: 0.8456 lr: 0.016 max_mem: 18367M [10/25 16:37:44] d2.utils.events INFO: eta: 1 day, 2:12:38 iter: 14899 total_loss: 2.295 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04003 loss_box_reg_sup: 0.3639 loss_rpn_cls_sup: 0.03356 loss_rpn_loc_sup: 0.3277 loss_cls_unsup: 0.2784 loss_box_reg_unsup: 0.4275 loss_rpn_cls_unsup: 0.3464 loss_rpn_loc_unsup: 0.4131 time: 5.7835 data_time: 0.8245 lr: 0.016 max_mem: 18367M [10/25 16:39:52] d2.utils.events INFO: eta: 1 day, 2:10:47 iter: 14919 total_loss: 2.2 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04169 loss_box_reg_sup: 0.352 loss_rpn_cls_sup: 0.04086 loss_rpn_loc_sup: 0.3157 loss_cls_unsup: 0.2746 loss_box_reg_unsup: 0.4166 loss_rpn_cls_unsup: 0.3459 loss_rpn_loc_unsup: 0.4114 time: 5.7843 data_time: 0.8206 lr: 0.016 max_mem: 18367M [10/25 16:42:07] d2.utils.events INFO: eta: 1 day, 2:10:03 iter: 14939 total_loss: 2.273 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04373 loss_box_reg_sup: 0.3749 loss_rpn_cls_sup: 0.0388 loss_rpn_loc_sup: 0.3184 loss_cls_unsup: 0.2661 loss_box_reg_unsup: 0.4242 loss_rpn_cls_unsup: 0.3516 loss_rpn_loc_unsup: 0.4405 time: 5.7855 data_time: 0.8425 lr: 0.016 max_mem: 18367M [10/25 16:44:13] d2.utils.events INFO: eta: 1 day, 2:07:58 iter: 14959 total_loss: 2.212 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04705 loss_box_reg_sup: 0.3665 loss_rpn_cls_sup: 0.03543 loss_rpn_loc_sup: 0.3167 loss_cls_unsup: 0.2897 loss_box_reg_unsup: 0.4246 loss_rpn_cls_unsup: 0.3354 loss_rpn_loc_unsup: 0.3667 time: 5.7862 data_time: 0.8100 lr: 0.016 max_mem: 18367M [10/25 16:46:18] d2.utils.events INFO: eta: 1 day, 2:06:27 iter: 14979 total_loss: 2.3 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03944 loss_box_reg_sup: 0.3594 loss_rpn_cls_sup: 0.03314 loss_rpn_loc_sup: 0.3065 loss_cls_unsup: 0.2777 loss_box_reg_unsup: 0.4521 loss_rpn_cls_unsup: 0.3606 loss_rpn_loc_unsup: 0.4386 time: 5.7869 data_time: 0.8203 lr: 0.016 max_mem: 18367M [10/25 16:48:30] d2.utils.events INFO: eta: 1 day, 2:05:07 iter: 14999 total_loss: 2.19 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04147 loss_box_reg_sup: 0.3634 loss_rpn_cls_sup: 0.04079 loss_rpn_loc_sup: 0.3256 loss_cls_unsup: 0.271 loss_box_reg_unsup: 0.4183 loss_rpn_cls_unsup: 0.3514 loss_rpn_loc_unsup: 0.4111 time: 5.7879 data_time: 0.8317 lr: 0.016 max_mem: 18367M [10/25 16:50:36] d2.utils.events INFO: eta: 1 day, 2:03:43 iter: 15019 total_loss: 2.113 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03987 loss_box_reg_sup: 0.3589 loss_rpn_cls_sup: 0.03509 loss_rpn_loc_sup: 0.3075 loss_cls_unsup: 0.2753 loss_box_reg_unsup: 0.4106 loss_rpn_cls_unsup: 0.3186 loss_rpn_loc_unsup: 0.3933 time: 5.7887 data_time: 0.8237 lr: 0.016 max_mem: 18367M [10/25 16:52:48] d2.utils.events INFO: eta: 1 day, 2:02:00 iter: 15039 total_loss: 2.266 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04335 loss_box_reg_sup: 0.3682 loss_rpn_cls_sup: 0.03582 loss_rpn_loc_sup: 0.3192 loss_cls_unsup: 0.2563 loss_box_reg_unsup: 0.4465 loss_rpn_cls_unsup: 0.3548 loss_rpn_loc_unsup: 0.4357 time: 5.7897 data_time: 0.7914 lr: 0.016 max_mem: 18367M [10/25 16:54:57] d2.utils.events INFO: eta: 1 day, 2:00:13 iter: 15059 total_loss: 2.242 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03889 loss_box_reg_sup: 0.3393 loss_rpn_cls_sup: 0.03877 loss_rpn_loc_sup: 0.3222 loss_cls_unsup: 0.2648 loss_box_reg_unsup: 0.4209 loss_rpn_cls_unsup: 0.335 loss_rpn_loc_unsup: 0.4245 time: 5.7906 data_time: 0.8143 lr: 0.016 max_mem: 18367M [10/25 16:57:07] d2.utils.events INFO: eta: 1 day, 1:59:03 iter: 15079 total_loss: 2.172 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04505 loss_box_reg_sup: 0.3656 loss_rpn_cls_sup: 0.03305 loss_rpn_loc_sup: 0.3061 loss_cls_unsup: 0.2656 loss_box_reg_unsup: 0.4366 loss_rpn_cls_unsup: 0.3323 loss_rpn_loc_unsup: 0.4279 time: 5.7915 data_time: 0.8518 lr: 0.016 max_mem: 18367M [10/25 16:59:15] d2.utils.events INFO: eta: 1 day, 1:57:16 iter: 15099 total_loss: 2.174 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03743 loss_box_reg_sup: 0.3315 loss_rpn_cls_sup: 0.03536 loss_rpn_loc_sup: 0.3046 loss_cls_unsup: 0.2737 loss_box_reg_unsup: 0.4242 loss_rpn_cls_unsup: 0.3458 loss_rpn_loc_unsup: 0.3732 time: 5.7924 data_time: 0.8617 lr: 0.016 max_mem: 18367M [10/25 17:01:22] d2.utils.events INFO: eta: 1 day, 1:55:38 iter: 15119 total_loss: 2.229 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04103 loss_box_reg_sup: 0.3528 loss_rpn_cls_sup: 0.0372 loss_rpn_loc_sup: 0.3135 loss_cls_unsup: 0.2787 loss_box_reg_unsup: 0.4113 loss_rpn_cls_unsup: 0.352 loss_rpn_loc_unsup: 0.4097 time: 5.7931 data_time: 0.8566 lr: 0.016 max_mem: 18367M [10/25 17:03:28] d2.utils.events INFO: eta: 1 day, 1:53:35 iter: 15139 total_loss: 2.242 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0405 loss_box_reg_sup: 0.3495 loss_rpn_cls_sup: 0.04271 loss_rpn_loc_sup: 0.3278 loss_cls_unsup: 0.2662 loss_box_reg_unsup: 0.4221 loss_rpn_cls_unsup: 0.3327 loss_rpn_loc_unsup: 0.4123 time: 5.7937 data_time: 0.8290 lr: 0.016 max_mem: 18367M [10/25 17:05:35] d2.utils.events INFO: eta: 1 day, 1:51:30 iter: 15159 total_loss: 2.281 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04153 loss_box_reg_sup: 0.3663 loss_rpn_cls_sup: 0.03399 loss_rpn_loc_sup: 0.3153 loss_cls_unsup: 0.2667 loss_box_reg_unsup: 0.4482 loss_rpn_cls_unsup: 0.3523 loss_rpn_loc_unsup: 0.3691 time: 5.7944 data_time: 0.8127 lr: 0.016 max_mem: 18367M [10/25 17:07:43] d2.utils.events INFO: eta: 1 day, 1:49:40 iter: 15179 total_loss: 2.219 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04194 loss_box_reg_sup: 0.3644 loss_rpn_cls_sup: 0.03683 loss_rpn_loc_sup: 0.3012 loss_cls_unsup: 0.2872 loss_box_reg_unsup: 0.4438 loss_rpn_cls_unsup: 0.3487 loss_rpn_loc_unsup: 0.4093 time: 5.7952 data_time: 0.8192 lr: 0.016 max_mem: 18367M [10/25 17:09:53] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 17:09:54] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 17:09:54] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 17:09:54] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 17:09:55] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0011 s/iter. Inference: 0.0494 s/iter. Eval: 0.0005 s/iter. Total: 0.0511 s/iter. ETA=0:04:27 [10/25 17:10:00] d2.evaluation.evaluator INFO: Inference done 118/5258. Dataloading: 0.0010 s/iter. Inference: 0.0455 s/iter. Eval: 0.0005 s/iter. Total: 0.0471 s/iter. ETA=0:04:02 [10/25 17:10:05] d2.evaluation.evaluator INFO: Inference done 241/5258. Dataloading: 0.0011 s/iter. Inference: 0.0422 s/iter. Eval: 0.0005 s/iter. Total: 0.0439 s/iter. ETA=0:03:40 [10/25 17:10:10] d2.evaluation.evaluator INFO: Inference done 354/5258. Dataloading: 0.0011 s/iter. 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ETA=0:00:19 [10/25 17:13:21] d2.evaluation.evaluator INFO: Inference done 4916/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:00:14 [10/25 17:13:26] d2.evaluation.evaluator INFO: Inference done 5035/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:00:09 [10/25 17:13:31] d2.evaluation.evaluator INFO: Inference done 5153/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:00:04 [10/25 17:13:35] d2.evaluation.evaluator INFO: Total inference time: 0:03:40.433803 (0.041963 s / iter per device, on 1 devices) [10/25 17:13:35] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:31 (0.040346 s / iter per device, on 1 devices) [10/25 17:13:35] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 17:14:59] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 17:14:59] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 17:14:59] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 17:14:59] d2.evaluation.testing INFO: copypaste: 5.8938,12.0261,5.4406 [10/25 17:15:00] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 17:15:00] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 17:15:00] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 17:15:00] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 17:15:01] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0468 s/iter. Eval: 0.0005 s/iter. Total: 0.0482 s/iter. 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ETA=0:00:18 [10/25 17:19:08] d2.evaluation.evaluator INFO: Inference done 4979/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:13 [10/25 17:19:13] d2.evaluation.evaluator INFO: Inference done 5079/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:00:08 [10/25 17:19:18] d2.evaluation.evaluator INFO: Inference done 5182/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0004 s/iter. Total: 0.0496 s/iter. ETA=0:00:03 [10/25 17:19:21] d2.evaluation.evaluator INFO: Total inference time: 0:04:20.360525 (0.049564 s / iter per device, on 1 devices) [10/25 17:19:21] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:12 (0.048065 s / iter per device, on 1 devices) [10/25 17:19:21] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 17:20:28] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 17:20:28] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 17:20:28] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 17:20:28] d2.evaluation.testing INFO: copypaste: 6.3583,13.3298,5.9027 [10/25 17:20:28] d2.utils.events INFO: eta: 1 day, 1:47:31 iter: 15199 total_loss: 2.214 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04205 loss_box_reg_sup: 0.3435 loss_rpn_cls_sup: 0.03737 loss_rpn_loc_sup: 0.3084 loss_cls_unsup: 0.2909 loss_box_reg_unsup: 0.4161 loss_rpn_cls_unsup: 0.3526 loss_rpn_loc_unsup: 0.418 time: 5.7958 data_time: 0.8120 lr: 0.016 max_mem: 18367M [10/25 17:22:34] d2.utils.events INFO: eta: 1 day, 1:45:10 iter: 15219 total_loss: 2.203 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04188 loss_box_reg_sup: 0.3669 loss_rpn_cls_sup: 0.03974 loss_rpn_loc_sup: 0.3223 loss_cls_unsup: 0.2557 loss_box_reg_unsup: 0.4304 loss_rpn_cls_unsup: 0.3278 loss_rpn_loc_unsup: 0.459 time: 5.7965 data_time: 0.8901 lr: 0.016 max_mem: 18367M [10/25 17:24:40] d2.utils.events INFO: eta: 1 day, 1:43:20 iter: 15239 total_loss: 2.28 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04375 loss_box_reg_sup: 0.377 loss_rpn_cls_sup: 0.03807 loss_rpn_loc_sup: 0.3174 loss_cls_unsup: 0.2707 loss_box_reg_unsup: 0.422 loss_rpn_cls_unsup: 0.3203 loss_rpn_loc_unsup: 0.3612 time: 5.7972 data_time: 0.8179 lr: 0.016 max_mem: 18367M [10/25 17:26:51] d2.utils.events INFO: eta: 1 day, 1:42:03 iter: 15259 total_loss: 2.266 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04172 loss_box_reg_sup: 0.3928 loss_rpn_cls_sup: 0.03465 loss_rpn_loc_sup: 0.3262 loss_cls_unsup: 0.2841 loss_box_reg_unsup: 0.4317 loss_rpn_cls_unsup: 0.3352 loss_rpn_loc_unsup: 0.4112 time: 5.7981 data_time: 0.8629 lr: 0.016 max_mem: 18367M [10/25 17:28:59] d2.utils.events INFO: eta: 1 day, 1:40:25 iter: 15279 total_loss: 2.163 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03679 loss_box_reg_sup: 0.3393 loss_rpn_cls_sup: 0.036 loss_rpn_loc_sup: 0.3169 loss_cls_unsup: 0.2851 loss_box_reg_unsup: 0.4137 loss_rpn_cls_unsup: 0.3476 loss_rpn_loc_unsup: 0.4013 time: 5.7989 data_time: 0.7927 lr: 0.016 max_mem: 18367M [10/25 17:31:09] d2.utils.events INFO: eta: 1 day, 1:37:57 iter: 15299 total_loss: 2.203 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03927 loss_box_reg_sup: 0.3516 loss_rpn_cls_sup: 0.03593 loss_rpn_loc_sup: 0.3123 loss_cls_unsup: 0.2641 loss_box_reg_unsup: 0.4414 loss_rpn_cls_unsup: 0.3308 loss_rpn_loc_unsup: 0.4119 time: 5.7998 data_time: 0.8340 lr: 0.016 max_mem: 18367M [10/25 17:33:17] d2.utils.events INFO: eta: 1 day, 1:35:51 iter: 15319 total_loss: 2.262 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04434 loss_box_reg_sup: 0.3992 loss_rpn_cls_sup: 0.03407 loss_rpn_loc_sup: 0.3299 loss_cls_unsup: 0.2638 loss_box_reg_unsup: 0.4341 loss_rpn_cls_unsup: 0.3496 loss_rpn_loc_unsup: 0.4271 time: 5.8006 data_time: 0.8062 lr: 0.016 max_mem: 18367M [10/25 17:35:23] d2.utils.events INFO: eta: 1 day, 1:33:51 iter: 15339 total_loss: 2.142 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03814 loss_box_reg_sup: 0.3417 loss_rpn_cls_sup: 0.03248 loss_rpn_loc_sup: 0.2835 loss_cls_unsup: 0.2719 loss_box_reg_unsup: 0.4286 loss_rpn_cls_unsup: 0.3332 loss_rpn_loc_unsup: 0.3917 time: 5.8013 data_time: 0.8317 lr: 0.016 max_mem: 18367M [10/25 17:37:33] d2.utils.events INFO: eta: 1 day, 1:31:30 iter: 15359 total_loss: 2.234 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03921 loss_box_reg_sup: 0.3613 loss_rpn_cls_sup: 0.034 loss_rpn_loc_sup: 0.3081 loss_cls_unsup: 0.2872 loss_box_reg_unsup: 0.4419 loss_rpn_cls_unsup: 0.3421 loss_rpn_loc_unsup: 0.395 time: 5.8022 data_time: 0.7989 lr: 0.016 max_mem: 18367M [10/25 17:39:43] d2.utils.events INFO: eta: 1 day, 1:29:40 iter: 15379 total_loss: 2.206 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03916 loss_box_reg_sup: 0.3468 loss_rpn_cls_sup: 0.03562 loss_rpn_loc_sup: 0.2962 loss_cls_unsup: 0.2639 loss_box_reg_unsup: 0.4499 loss_rpn_cls_unsup: 0.3292 loss_rpn_loc_unsup: 0.4241 time: 5.8031 data_time: 0.8150 lr: 0.016 max_mem: 18367M [10/25 17:41:48] d2.utils.events INFO: eta: 1 day, 1:27:35 iter: 15399 total_loss: 2.24 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04103 loss_box_reg_sup: 0.3456 loss_rpn_cls_sup: 0.03378 loss_rpn_loc_sup: 0.3125 loss_cls_unsup: 0.2699 loss_box_reg_unsup: 0.4496 loss_rpn_cls_unsup: 0.326 loss_rpn_loc_unsup: 0.425 time: 5.8037 data_time: 0.8684 lr: 0.016 max_mem: 18367M [10/25 17:43:54] d2.utils.events INFO: eta: 1 day, 1:25:29 iter: 15419 total_loss: 2.253 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03924 loss_box_reg_sup: 0.3814 loss_rpn_cls_sup: 0.03808 loss_rpn_loc_sup: 0.3208 loss_cls_unsup: 0.2826 loss_box_reg_unsup: 0.442 loss_rpn_cls_unsup: 0.367 loss_rpn_loc_unsup: 0.4386 time: 5.8043 data_time: 0.8398 lr: 0.016 max_mem: 18367M [10/25 17:46:05] d2.utils.events INFO: eta: 1 day, 1:23:35 iter: 15439 total_loss: 2.218 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04034 loss_box_reg_sup: 0.3649 loss_rpn_cls_sup: 0.03474 loss_rpn_loc_sup: 0.307 loss_cls_unsup: 0.2788 loss_box_reg_unsup: 0.4461 loss_rpn_cls_unsup: 0.3363 loss_rpn_loc_unsup: 0.4278 time: 5.8053 data_time: 0.8200 lr: 0.016 max_mem: 18367M [10/25 17:48:16] d2.utils.events INFO: eta: 1 day, 1:22:00 iter: 15459 total_loss: 2.285 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04039 loss_box_reg_sup: 0.3488 loss_rpn_cls_sup: 0.03522 loss_rpn_loc_sup: 0.3085 loss_cls_unsup: 0.2771 loss_box_reg_unsup: 0.4353 loss_rpn_cls_unsup: 0.3437 loss_rpn_loc_unsup: 0.4676 time: 5.8062 data_time: 0.8288 lr: 0.016 max_mem: 18367M [10/25 17:50:25] d2.utils.events INFO: eta: 1 day, 1:20:00 iter: 15479 total_loss: 2.242 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03878 loss_box_reg_sup: 0.3572 loss_rpn_cls_sup: 0.03708 loss_rpn_loc_sup: 0.3075 loss_cls_unsup: 0.2713 loss_box_reg_unsup: 0.4362 loss_rpn_cls_unsup: 0.3369 loss_rpn_loc_unsup: 0.4162 time: 5.8071 data_time: 0.8336 lr: 0.016 max_mem: 18367M [10/25 17:52:32] d2.utils.events INFO: eta: 1 day, 1:18:15 iter: 15499 total_loss: 2.248 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04302 loss_box_reg_sup: 0.3924 loss_rpn_cls_sup: 0.03621 loss_rpn_loc_sup: 0.3295 loss_cls_unsup: 0.2753 loss_box_reg_unsup: 0.4227 loss_rpn_cls_unsup: 0.3437 loss_rpn_loc_unsup: 0.4224 time: 5.8078 data_time: 0.8694 lr: 0.016 max_mem: 18367M [10/25 17:54:42] d2.utils.events INFO: eta: 1 day, 1:15:49 iter: 15519 total_loss: 2.2 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03868 loss_box_reg_sup: 0.3854 loss_rpn_cls_sup: 0.03403 loss_rpn_loc_sup: 0.306 loss_cls_unsup: 0.272 loss_box_reg_unsup: 0.4374 loss_rpn_cls_unsup: 0.3406 loss_rpn_loc_unsup: 0.3956 time: 5.8087 data_time: 0.8405 lr: 0.016 max_mem: 18367M [10/25 17:56:50] d2.utils.events INFO: eta: 1 day, 1:13:51 iter: 15539 total_loss: 2.275 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04173 loss_box_reg_sup: 0.3542 loss_rpn_cls_sup: 0.0341 loss_rpn_loc_sup: 0.3177 loss_cls_unsup: 0.274 loss_box_reg_unsup: 0.4536 loss_rpn_cls_unsup: 0.3584 loss_rpn_loc_unsup: 0.4428 time: 5.8094 data_time: 0.8298 lr: 0.016 max_mem: 18367M [10/25 17:58:58] d2.utils.events INFO: eta: 1 day, 1:11:18 iter: 15559 total_loss: 2.26 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04166 loss_box_reg_sup: 0.3539 loss_rpn_cls_sup: 0.04014 loss_rpn_loc_sup: 0.3413 loss_cls_unsup: 0.2688 loss_box_reg_unsup: 0.4271 loss_rpn_cls_unsup: 0.3357 loss_rpn_loc_unsup: 0.4447 time: 5.8102 data_time: 0.8384 lr: 0.016 max_mem: 18367M [10/25 18:01:02] d2.utils.events INFO: eta: 1 day, 1:08:45 iter: 15579 total_loss: 2.274 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04646 loss_box_reg_sup: 0.3804 loss_rpn_cls_sup: 0.03927 loss_rpn_loc_sup: 0.3257 loss_cls_unsup: 0.2598 loss_box_reg_unsup: 0.424 loss_rpn_cls_unsup: 0.3399 loss_rpn_loc_unsup: 0.4611 time: 5.8107 data_time: 0.8280 lr: 0.016 max_mem: 18367M [10/25 18:03:15] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 18:03:15] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 18:03:15] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 18:03:15] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 18:03:17] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0011 s/iter. Inference: 0.0589 s/iter. Eval: 0.0005 s/iter. Total: 0.0605 s/iter. ETA=0:05:17 [10/25 18:03:22] d2.evaluation.evaluator INFO: Inference done 132/5258. Dataloading: 0.0010 s/iter. Inference: 0.0409 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:03:36 [10/25 18:03:27] d2.evaluation.evaluator INFO: Inference done 244/5258. Dataloading: 0.0011 s/iter. Inference: 0.0418 s/iter. Eval: 0.0005 s/iter. Total: 0.0435 s/iter. ETA=0:03:38 [10/25 18:03:32] d2.evaluation.evaluator INFO: Inference done 370/5258. Dataloading: 0.0010 s/iter. 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ETA=0:02:55 [10/25 18:04:02] d2.evaluation.evaluator INFO: Inference done 1104/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:02:51 [10/25 18:04:07] d2.evaluation.evaluator INFO: Inference done 1218/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:02:48 [10/25 18:04:12] d2.evaluation.evaluator INFO: Inference done 1334/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:02:43 [10/25 18:04:17] d2.evaluation.evaluator INFO: Inference done 1457/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:02:38 [10/25 18:04:22] d2.evaluation.evaluator INFO: Inference done 1579/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:02:33 [10/25 18:04:27] d2.evaluation.evaluator INFO: Inference done 1705/5258. 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ETA=0:01:37 [10/25 18:05:22] d2.evaluation.evaluator INFO: Inference done 3032/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:01:32 [10/25 18:05:27] d2.evaluation.evaluator INFO: Inference done 3141/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:01:28 [10/25 18:05:32] d2.evaluation.evaluator INFO: Inference done 3243/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:01:24 [10/25 18:05:37] d2.evaluation.evaluator INFO: Inference done 3362/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:01:19 [10/25 18:05:42] d2.evaluation.evaluator INFO: Inference done 3478/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:01:14 [10/25 18:05:47] d2.evaluation.evaluator INFO: Inference done 3605/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:01:09 [10/25 18:05:52] d2.evaluation.evaluator INFO: Inference done 3720/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:01:04 [10/25 18:05:57] d2.evaluation.evaluator INFO: Inference done 3842/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:00:59 [10/25 18:06:02] d2.evaluation.evaluator INFO: Inference done 3945/5258. Dataloading: 0.0010 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:00:55 [10/25 18:06:08] d2.evaluation.evaluator INFO: Inference done 4070/5258. Dataloading: 0.0010 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:00:49 [10/25 18:06:13] d2.evaluation.evaluator INFO: Inference done 4188/5258. Dataloading: 0.0010 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:00:45 [10/25 18:06:18] d2.evaluation.evaluator INFO: Inference done 4293/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:00:40 [10/25 18:06:23] d2.evaluation.evaluator INFO: Inference done 4409/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:00:35 [10/25 18:06:28] d2.evaluation.evaluator INFO: Inference done 4530/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:00:30 [10/25 18:06:33] d2.evaluation.evaluator INFO: Inference done 4657/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:00:25 [10/25 18:06:38] d2.evaluation.evaluator INFO: Inference done 4771/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:00:20 [10/25 18:06:43] d2.evaluation.evaluator INFO: Inference done 4899/5258. Dataloading: 0.0010 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:00:15 [10/25 18:06:48] d2.evaluation.evaluator INFO: Inference done 5014/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:00:10 [10/25 18:06:53] d2.evaluation.evaluator INFO: Inference done 5141/5258. Dataloading: 0.0010 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:00:04 [10/25 18:06:57] d2.evaluation.evaluator INFO: Total inference time: 0:03:40.885426 (0.042049 s / iter per device, on 1 devices) [10/25 18:06:57] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:32 (0.040535 s / iter per device, on 1 devices) [10/25 18:06:57] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 18:08:05] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 18:08:05] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 18:08:05] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 18:08:05] d2.evaluation.testing INFO: copypaste: 5.6776,11.8976,5.1661 [10/25 18:08:07] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 18:08:07] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 18:08:07] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 18:08:07] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 18:08:09] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0487 s/iter. Eval: 0.0006 s/iter. Total: 0.0502 s/iter. ETA=0:04:23 [10/25 18:08:14] d2.evaluation.evaluator INFO: Inference done 114/5258. Dataloading: 0.0010 s/iter. Inference: 0.0473 s/iter. Eval: 0.0005 s/iter. Total: 0.0488 s/iter. ETA=0:04:11 [10/25 18:08:19] d2.evaluation.evaluator INFO: Inference done 216/5258. Dataloading: 0.0011 s/iter. Inference: 0.0474 s/iter. Eval: 0.0005 s/iter. Total: 0.0489 s/iter. ETA=0:04:06 [10/25 18:08:24] d2.evaluation.evaluator INFO: Inference done 318/5258. Dataloading: 0.0011 s/iter. Inference: 0.0474 s/iter. Eval: 0.0005 s/iter. Total: 0.0490 s/iter. ETA=0:04:02 [10/25 18:08:29] d2.evaluation.evaluator INFO: Inference done 420/5258. Dataloading: 0.0011 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0490 s/iter. ETA=0:03:57 [10/25 18:08:34] d2.evaluation.evaluator INFO: Inference done 522/5258. Dataloading: 0.0011 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:03:52 [10/25 18:08:39] d2.evaluation.evaluator INFO: Inference done 626/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0490 s/iter. ETA=0:03:47 [10/25 18:08:44] d2.evaluation.evaluator INFO: Inference done 727/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:03:42 [10/25 18:08:49] d2.evaluation.evaluator INFO: Inference done 829/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:03:37 [10/25 18:08:54] d2.evaluation.evaluator INFO: Inference done 931/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:03:32 [10/25 18:08:59] d2.evaluation.evaluator INFO: Inference done 1032/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:03:27 [10/25 18:09:04] d2.evaluation.evaluator INFO: Inference done 1132/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. 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ETA=0:02:59 [10/25 18:09:34] d2.evaluation.evaluator INFO: Inference done 1733/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:02:54 [10/25 18:09:39] d2.evaluation.evaluator INFO: Inference done 1835/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:02:49 [10/25 18:09:44] d2.evaluation.evaluator INFO: Inference done 1939/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:44 [10/25 18:09:49] d2.evaluation.evaluator INFO: Inference done 2039/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:02:39 [10/25 18:09:54] d2.evaluation.evaluator INFO: Inference done 2142/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:34 [10/25 18:09:59] d2.evaluation.evaluator INFO: Inference done 2245/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:29 [10/25 18:10:04] d2.evaluation.evaluator INFO: Inference done 2346/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:24 [10/25 18:10:09] d2.evaluation.evaluator INFO: Inference done 2447/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:19 [10/25 18:10:14] d2.evaluation.evaluator INFO: Inference done 2549/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:14 [10/25 18:10:19] d2.evaluation.evaluator INFO: Inference done 2650/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:09 [10/25 18:10:24] d2.evaluation.evaluator INFO: Inference done 2751/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. 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Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:07 [10/25 18:11:25] d2.evaluation.evaluator INFO: Inference done 3983/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:02 [10/25 18:11:30] d2.evaluation.evaluator INFO: Inference done 4086/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:57 [10/25 18:11:35] d2.evaluation.evaluator INFO: Inference done 4188/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:52 [10/25 18:11:40] d2.evaluation.evaluator INFO: Inference done 4288/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:47 [10/25 18:11:45] d2.evaluation.evaluator INFO: Inference done 4391/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. 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ETA=0:00:17 [10/25 18:12:15] d2.evaluation.evaluator INFO: Inference done 5002/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:00:12 [10/25 18:12:20] d2.evaluation.evaluator INFO: Inference done 5104/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:00:07 [10/25 18:12:25] d2.evaluation.evaluator INFO: Inference done 5205/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:00:02 [10/25 18:12:27] d2.evaluation.evaluator INFO: Total inference time: 0:04:19.137374 (0.049331 s / iter per device, on 1 devices) [10/25 18:12:27] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:11 (0.047796 s / iter per device, on 1 devices) [10/25 18:12:27] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 18:13:35] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 18:13:35] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 18:13:35] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 18:13:35] d2.evaluation.testing INFO: copypaste: 6.3264,13.1953,5.8510 [10/25 18:13:35] d2.utils.events INFO: eta: 1 day, 1:06:50 iter: 15599 total_loss: 2.202 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03782 loss_box_reg_sup: 0.3599 loss_rpn_cls_sup: 0.03651 loss_rpn_loc_sup: 0.3105 loss_cls_unsup: 0.2704 loss_box_reg_unsup: 0.4186 loss_rpn_cls_unsup: 0.3289 loss_rpn_loc_unsup: 0.4473 time: 5.8114 data_time: 0.8426 lr: 0.016 max_mem: 18367M [10/25 18:15:46] d2.utils.events INFO: eta: 1 day, 1:05:18 iter: 15619 total_loss: 2.216 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03778 loss_box_reg_sup: 0.3461 loss_rpn_cls_sup: 0.03394 loss_rpn_loc_sup: 0.2927 loss_cls_unsup: 0.2747 loss_box_reg_unsup: 0.4436 loss_rpn_cls_unsup: 0.3319 loss_rpn_loc_unsup: 0.4596 time: 5.8124 data_time: 0.8340 lr: 0.016 max_mem: 18367M [10/25 18:17:57] d2.utils.events INFO: eta: 1 day, 1:03:28 iter: 15639 total_loss: 2.161 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0384 loss_box_reg_sup: 0.3546 loss_rpn_cls_sup: 0.03369 loss_rpn_loc_sup: 0.3145 loss_cls_unsup: 0.263 loss_box_reg_unsup: 0.4217 loss_rpn_cls_unsup: 0.3362 loss_rpn_loc_unsup: 0.4166 time: 5.8133 data_time: 0.8885 lr: 0.016 max_mem: 18367M [10/25 18:20:08] d2.utils.events INFO: eta: 1 day, 1:01:05 iter: 15659 total_loss: 2.23 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04225 loss_box_reg_sup: 0.3537 loss_rpn_cls_sup: 0.03649 loss_rpn_loc_sup: 0.3016 loss_cls_unsup: 0.2612 loss_box_reg_unsup: 0.4666 loss_rpn_cls_unsup: 0.3457 loss_rpn_loc_unsup: 0.4688 time: 5.8142 data_time: 0.8214 lr: 0.016 max_mem: 18367M [10/25 18:22:18] d2.utils.events INFO: eta: 1 day, 0:58:42 iter: 15679 total_loss: 2.262 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04458 loss_box_reg_sup: 0.3621 loss_rpn_cls_sup: 0.03695 loss_rpn_loc_sup: 0.3393 loss_cls_unsup: 0.2766 loss_box_reg_unsup: 0.4492 loss_rpn_cls_unsup: 0.3318 loss_rpn_loc_unsup: 0.4272 time: 5.8151 data_time: 0.8287 lr: 0.016 max_mem: 18367M [10/25 18:24:38] d2.utils.events INFO: eta: 1 day, 0:55:48 iter: 15699 total_loss: 2.279 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04617 loss_box_reg_sup: 0.3792 loss_rpn_cls_sup: 0.03952 loss_rpn_loc_sup: 0.3227 loss_cls_unsup: 0.2801 loss_box_reg_unsup: 0.4444 loss_rpn_cls_unsup: 0.329 loss_rpn_loc_unsup: 0.4331 time: 5.8166 data_time: 0.8250 lr: 0.016 max_mem: 18367M [10/25 18:26:44] d2.utils.events INFO: eta: 1 day, 0:52:56 iter: 15719 total_loss: 2.314 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04281 loss_box_reg_sup: 0.3733 loss_rpn_cls_sup: 0.03767 loss_rpn_loc_sup: 0.327 loss_cls_unsup: 0.2768 loss_box_reg_unsup: 0.4178 loss_rpn_cls_unsup: 0.3426 loss_rpn_loc_unsup: 0.4238 time: 5.8172 data_time: 0.8299 lr: 0.016 max_mem: 18367M [10/25 18:28:56] d2.utils.events INFO: eta: 1 day, 0:51:01 iter: 15739 total_loss: 2.237 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03931 loss_box_reg_sup: 0.3541 loss_rpn_cls_sup: 0.03692 loss_rpn_loc_sup: 0.3215 loss_cls_unsup: 0.2853 loss_box_reg_unsup: 0.4289 loss_rpn_cls_unsup: 0.3447 loss_rpn_loc_unsup: 0.4286 time: 5.8182 data_time: 0.8185 lr: 0.016 max_mem: 18367M [10/25 18:31:13] d2.utils.events INFO: eta: 1 day, 0:48:55 iter: 15759 total_loss: 2.261 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04376 loss_box_reg_sup: 0.366 loss_rpn_cls_sup: 0.03381 loss_rpn_loc_sup: 0.2982 loss_cls_unsup: 0.2656 loss_box_reg_unsup: 0.4421 loss_rpn_cls_unsup: 0.3284 loss_rpn_loc_unsup: 0.4518 time: 5.8195 data_time: 0.8338 lr: 0.016 max_mem: 18367M [10/25 18:33:31] d2.utils.events INFO: eta: 1 day, 0:46:51 iter: 15779 total_loss: 2.246 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04066 loss_box_reg_sup: 0.3248 loss_rpn_cls_sup: 0.03472 loss_rpn_loc_sup: 0.2944 loss_cls_unsup: 0.2754 loss_box_reg_unsup: 0.4726 loss_rpn_cls_unsup: 0.3337 loss_rpn_loc_unsup: 0.415 time: 5.8209 data_time: 0.8489 lr: 0.016 max_mem: 18367M [10/25 18:35:43] d2.utils.events INFO: eta: 1 day, 0:44:27 iter: 15799 total_loss: 2.242 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03845 loss_box_reg_sup: 0.3835 loss_rpn_cls_sup: 0.03445 loss_rpn_loc_sup: 0.3226 loss_cls_unsup: 0.2827 loss_box_reg_unsup: 0.4393 loss_rpn_cls_unsup: 0.33 loss_rpn_loc_unsup: 0.4358 time: 5.8219 data_time: 0.8138 lr: 0.016 max_mem: 18367M [10/25 18:37:55] d2.utils.events INFO: eta: 1 day, 0:42:22 iter: 15819 total_loss: 2.329 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04044 loss_box_reg_sup: 0.3572 loss_rpn_cls_sup: 0.03572 loss_rpn_loc_sup: 0.3271 loss_cls_unsup: 0.2814 loss_box_reg_unsup: 0.4333 loss_rpn_cls_unsup: 0.3555 loss_rpn_loc_unsup: 0.5276 time: 5.8229 data_time: 0.8089 lr: 0.016 max_mem: 18367M [10/25 18:40:03] d2.utils.events INFO: eta: 1 day, 0:40:24 iter: 15839 total_loss: 2.224 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03925 loss_box_reg_sup: 0.349 loss_rpn_cls_sup: 0.03531 loss_rpn_loc_sup: 0.3213 loss_cls_unsup: 0.2616 loss_box_reg_unsup: 0.4377 loss_rpn_cls_unsup: 0.3428 loss_rpn_loc_unsup: 0.4542 time: 5.8236 data_time: 0.8874 lr: 0.016 max_mem: 18367M [10/25 18:42:08] d2.utils.events INFO: eta: 1 day, 0:38:05 iter: 15859 total_loss: 2.278 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04271 loss_box_reg_sup: 0.3628 loss_rpn_cls_sup: 0.03785 loss_rpn_loc_sup: 0.323 loss_cls_unsup: 0.2771 loss_box_reg_unsup: 0.4415 loss_rpn_cls_unsup: 0.339 loss_rpn_loc_unsup: 0.4669 time: 5.8241 data_time: 0.8124 lr: 0.016 max_mem: 18367M [10/25 18:44:16] d2.utils.events INFO: eta: 1 day, 0:36:10 iter: 15879 total_loss: 2.215 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04222 loss_box_reg_sup: 0.3605 loss_rpn_cls_sup: 0.03517 loss_rpn_loc_sup: 0.3244 loss_cls_unsup: 0.2907 loss_box_reg_unsup: 0.4143 loss_rpn_cls_unsup: 0.3409 loss_rpn_loc_unsup: 0.423 time: 5.8248 data_time: 0.8267 lr: 0.016 max_mem: 18367M [10/25 18:46:32] d2.utils.events INFO: eta: 1 day, 0:33:50 iter: 15899 total_loss: 2.175 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04199 loss_box_reg_sup: 0.3622 loss_rpn_cls_sup: 0.03606 loss_rpn_loc_sup: 0.3128 loss_cls_unsup: 0.2742 loss_box_reg_unsup: 0.4368 loss_rpn_cls_unsup: 0.3391 loss_rpn_loc_unsup: 0.4264 time: 5.8261 data_time: 0.8256 lr: 0.016 max_mem: 18367M [10/25 18:48:41] d2.utils.events INFO: eta: 1 day, 0:31:36 iter: 15919 total_loss: 2.244 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03971 loss_box_reg_sup: 0.3664 loss_rpn_cls_sup: 0.03635 loss_rpn_loc_sup: 0.3108 loss_cls_unsup: 0.2686 loss_box_reg_unsup: 0.4334 loss_rpn_cls_unsup: 0.3231 loss_rpn_loc_unsup: 0.4539 time: 5.8269 data_time: 0.8199 lr: 0.016 max_mem: 18367M [10/25 18:50:50] d2.utils.events INFO: eta: 1 day, 0:28:22 iter: 15939 total_loss: 2.215 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03962 loss_box_reg_sup: 0.3623 loss_rpn_cls_sup: 0.0342 loss_rpn_loc_sup: 0.3028 loss_cls_unsup: 0.2754 loss_box_reg_unsup: 0.429 loss_rpn_cls_unsup: 0.3449 loss_rpn_loc_unsup: 0.4231 time: 5.8276 data_time: 0.8277 lr: 0.016 max_mem: 18367M [10/25 18:52:55] d2.utils.events INFO: eta: 1 day, 0:26:16 iter: 15959 total_loss: 2.213 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03847 loss_box_reg_sup: 0.3267 loss_rpn_cls_sup: 0.03575 loss_rpn_loc_sup: 0.3163 loss_cls_unsup: 0.2602 loss_box_reg_unsup: 0.4393 loss_rpn_cls_unsup: 0.3458 loss_rpn_loc_unsup: 0.4413 time: 5.8281 data_time: 0.8266 lr: 0.016 max_mem: 18367M [10/25 18:55:10] d2.utils.events INFO: eta: 1 day, 0:24:22 iter: 15979 total_loss: 2.177 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03888 loss_box_reg_sup: 0.3291 loss_rpn_cls_sup: 0.03428 loss_rpn_loc_sup: 0.2871 loss_cls_unsup: 0.2848 loss_box_reg_unsup: 0.4369 loss_rpn_cls_unsup: 0.3375 loss_rpn_loc_unsup: 0.3978 time: 5.8293 data_time: 0.8313 lr: 0.016 max_mem: 18367M [10/25 18:57:31] fvcore.common.checkpoint INFO: Saving checkpoint to ./output/k2bdd/model_0015999.pth [10/25 18:57:38] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 18:57:38] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 18:57:38] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 18:57:38] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 18:57:39] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0371 s/iter. Eval: 0.0005 s/iter. Total: 0.0384 s/iter. ETA=0:03:21 [10/25 18:57:44] d2.evaluation.evaluator INFO: Inference done 133/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:03:30 [10/25 18:57:49] d2.evaluation.evaluator INFO: Inference done 261/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0004 s/iter. Total: 0.0403 s/iter. ETA=0:03:21 [10/25 18:57:54] d2.evaluation.evaluator INFO: Inference done 381/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:03:19 [10/25 18:57:59] d2.evaluation.evaluator INFO: Inference done 511/5258. Dataloading: 0.0010 s/iter. Inference: 0.0388 s/iter. Eval: 0.0004 s/iter. Total: 0.0403 s/iter. ETA=0:03:11 [10/25 18:58:04] d2.evaluation.evaluator INFO: Inference done 629/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:03:08 [10/25 18:58:09] d2.evaluation.evaluator INFO: Inference done 754/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:03:03 [10/25 18:58:14] d2.evaluation.evaluator INFO: Inference done 875/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:02:58 [10/25 18:58:19] d2.evaluation.evaluator INFO: Inference done 1001/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:02:53 [10/25 18:58:24] d2.evaluation.evaluator INFO: Inference done 1124/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:02:48 [10/25 18:58:30] d2.evaluation.evaluator INFO: Inference done 1246/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:02:43 [10/25 18:58:35] d2.evaluation.evaluator INFO: Inference done 1371/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:02:38 [10/25 18:58:40] d2.evaluation.evaluator INFO: Inference done 1499/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:02:32 [10/25 18:58:45] d2.evaluation.evaluator INFO: Inference done 1626/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:02:26 [10/25 18:58:50] d2.evaluation.evaluator INFO: Inference done 1749/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:02:22 [10/25 18:58:55] d2.evaluation.evaluator INFO: Inference done 1866/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:02:17 [10/25 18:59:00] d2.evaluation.evaluator INFO: Inference done 1989/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:02:12 [10/25 18:59:05] d2.evaluation.evaluator INFO: Inference done 2112/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:02:07 [10/25 18:59:10] d2.evaluation.evaluator INFO: Inference done 2230/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:02:03 [10/25 18:59:15] d2.evaluation.evaluator INFO: Inference done 2357/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:01:58 [10/25 18:59:20] d2.evaluation.evaluator INFO: Inference done 2475/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:01:53 [10/25 18:59:25] d2.evaluation.evaluator INFO: Inference done 2602/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:01:48 [10/25 18:59:30] d2.evaluation.evaluator INFO: Inference done 2727/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:01:43 [10/25 18:59:35] d2.evaluation.evaluator INFO: Inference done 2857/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:01:37 [10/25 18:59:40] d2.evaluation.evaluator INFO: Inference done 2978/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:01:32 [10/25 18:59:45] d2.evaluation.evaluator INFO: Inference done 3103/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:01:27 [10/25 18:59:50] d2.evaluation.evaluator INFO: Inference done 3229/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:01:22 [10/25 18:59:55] d2.evaluation.evaluator INFO: Inference done 3352/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:01:17 [10/25 19:00:00] d2.evaluation.evaluator INFO: Inference done 3470/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:01:12 [10/25 19:00:05] d2.evaluation.evaluator INFO: Inference done 3596/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:01:07 [10/25 19:00:10] d2.evaluation.evaluator INFO: Inference done 3722/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:01:02 [10/25 19:00:15] d2.evaluation.evaluator INFO: Inference done 3850/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:00:57 [10/25 19:00:20] d2.evaluation.evaluator INFO: Inference done 3971/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:00:52 [10/25 19:00:25] d2.evaluation.evaluator INFO: Inference done 4097/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:00:47 [10/25 19:00:30] d2.evaluation.evaluator INFO: Inference done 4219/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:00:42 [10/25 19:00:35] d2.evaluation.evaluator INFO: Inference done 4344/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:00:37 [10/25 19:00:40] d2.evaluation.evaluator INFO: Inference done 4472/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:00:31 [10/25 19:00:45] d2.evaluation.evaluator INFO: Inference done 4585/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:00:27 [10/25 19:00:50] d2.evaluation.evaluator INFO: Inference done 4712/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:00:22 [10/25 19:00:55] d2.evaluation.evaluator INFO: Inference done 4834/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:00:17 [10/25 19:01:00] d2.evaluation.evaluator INFO: Inference done 4951/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:00:12 [10/25 19:01:05] d2.evaluation.evaluator INFO: Inference done 5074/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:00:07 [10/25 19:01:10] d2.evaluation.evaluator INFO: Inference done 5201/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:00:02 [10/25 19:01:13] d2.evaluation.evaluator INFO: Total inference time: 0:03:33.570017 (0.040657 s / iter per device, on 1 devices) [10/25 19:01:13] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:25 (0.039163 s / iter per device, on 1 devices) [10/25 19:01:13] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 19:02:15] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 19:02:15] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 19:02:15] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 19:02:15] d2.evaluation.testing INFO: copypaste: 5.8871,12.9475,5.0492 [10/25 19:02:16] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 19:02:17] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 19:02:17] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 19:02:17] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 19:02:18] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0012 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:04:25 [10/25 19:02:23] d2.evaluation.evaluator INFO: Inference done 112/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:04:15 [10/25 19:02:28] d2.evaluation.evaluator INFO: Inference done 211/5258. Dataloading: 0.0010 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:04:13 [10/25 19:02:33] d2.evaluation.evaluator INFO: Inference done 313/5258. Dataloading: 0.0010 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:04:06 [10/25 19:02:38] d2.evaluation.evaluator INFO: Inference done 413/5258. Dataloading: 0.0010 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:04:01 [10/25 19:02:43] d2.evaluation.evaluator INFO: Inference done 513/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:57 [10/25 19:02:48] d2.evaluation.evaluator INFO: Inference done 616/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:51 [10/25 19:02:53] d2.evaluation.evaluator INFO: Inference done 719/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:45 [10/25 19:02:58] d2.evaluation.evaluator INFO: Inference done 823/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:39 [10/25 19:03:03] d2.evaluation.evaluator INFO: Inference done 925/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:34 [10/25 19:03:08] d2.evaluation.evaluator INFO: Inference done 1028/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:28 [10/25 19:03:13] d2.evaluation.evaluator INFO: Inference done 1130/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:23 [10/25 19:03:18] d2.evaluation.evaluator INFO: Inference done 1233/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:03:18 [10/25 19:03:23] d2.evaluation.evaluator INFO: Inference done 1334/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:13 [10/25 19:03:28] d2.evaluation.evaluator INFO: Inference done 1436/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:03:08 [10/25 19:03:33] d2.evaluation.evaluator INFO: Inference done 1539/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:03:03 [10/25 19:03:38] d2.evaluation.evaluator INFO: Inference done 1641/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:58 [10/25 19:03:43] d2.evaluation.evaluator INFO: Inference done 1743/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:53 [10/25 19:03:48] d2.evaluation.evaluator INFO: Inference done 1846/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:48 [10/25 19:03:53] d2.evaluation.evaluator INFO: Inference done 1946/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:43 [10/25 19:03:58] d2.evaluation.evaluator INFO: Inference done 2047/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:38 [10/25 19:04:03] d2.evaluation.evaluator INFO: Inference done 2149/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:33 [10/25 19:04:08] d2.evaluation.evaluator INFO: Inference done 2250/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:28 [10/25 19:04:13] d2.evaluation.evaluator INFO: Inference done 2354/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:23 [10/25 19:04:18] d2.evaluation.evaluator INFO: Inference done 2456/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:18 [10/25 19:04:23] d2.evaluation.evaluator INFO: Inference done 2556/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:13 [10/25 19:04:28] d2.evaluation.evaluator INFO: Inference done 2658/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:08 [10/25 19:04:33] d2.evaluation.evaluator INFO: Inference done 2760/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:03 [10/25 19:04:39] d2.evaluation.evaluator INFO: Inference done 2862/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:58 [10/25 19:04:44] d2.evaluation.evaluator INFO: Inference done 2963/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:53 [10/25 19:04:49] d2.evaluation.evaluator INFO: Inference done 3066/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:48 [10/25 19:04:54] d2.evaluation.evaluator INFO: Inference done 3168/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:43 [10/25 19:04:59] d2.evaluation.evaluator INFO: Inference done 3270/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:38 [10/25 19:05:04] d2.evaluation.evaluator INFO: Inference done 3372/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:33 [10/25 19:05:09] d2.evaluation.evaluator INFO: Inference done 3474/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:28 [10/25 19:05:14] d2.evaluation.evaluator INFO: Inference done 3573/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:23 [10/25 19:05:19] d2.evaluation.evaluator INFO: Inference done 3674/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:18 [10/25 19:05:24] d2.evaluation.evaluator INFO: Inference done 3777/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:13 [10/25 19:05:29] d2.evaluation.evaluator INFO: Inference done 3880/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:08 [10/25 19:05:34] d2.evaluation.evaluator INFO: Inference done 3983/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:02 [10/25 19:05:39] d2.evaluation.evaluator INFO: Inference done 4086/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:57 [10/25 19:05:44] d2.evaluation.evaluator INFO: Inference done 4189/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:52 [10/25 19:05:49] d2.evaluation.evaluator INFO: Inference done 4292/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:47 [10/25 19:05:54] d2.evaluation.evaluator INFO: Inference done 4394/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:42 [10/25 19:05:59] d2.evaluation.evaluator INFO: Inference done 4494/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:37 [10/25 19:06:04] d2.evaluation.evaluator INFO: Inference done 4596/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:32 [10/25 19:06:09] d2.evaluation.evaluator INFO: Inference done 4699/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:27 [10/25 19:06:14] d2.evaluation.evaluator INFO: Inference done 4803/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:22 [10/25 19:06:19] d2.evaluation.evaluator INFO: Inference done 4906/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:17 [10/25 19:06:24] d2.evaluation.evaluator INFO: Inference done 5006/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:12 [10/25 19:06:29] d2.evaluation.evaluator INFO: Inference done 5106/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:07 [10/25 19:06:34] d2.evaluation.evaluator INFO: Inference done 5196/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:03 [10/25 19:06:37] d2.evaluation.evaluator INFO: Total inference time: 0:04:19.740805 (0.049446 s / iter per device, on 1 devices) [10/25 19:06:37] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:11 (0.047952 s / iter per device, on 1 devices) [10/25 19:06:37] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 19:07:50] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 19:07:50] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 19:07:50] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 19:07:50] d2.evaluation.testing INFO: copypaste: 6.2817,13.0731,5.8151 [10/25 19:07:50] d2.utils.events INFO: eta: 1 day, 0:21:57 iter: 15999 total_loss: 2.29 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.043 loss_box_reg_sup: 0.3803 loss_rpn_cls_sup: 0.03545 loss_rpn_loc_sup: 0.3036 loss_cls_unsup: 0.2862 loss_box_reg_unsup: 0.4549 loss_rpn_cls_unsup: 0.3215 loss_rpn_loc_unsup: 0.4393 time: 5.8308 data_time: 0.8248 lr: 0.016 max_mem: 18367M [10/25 19:10:09] d2.utils.events INFO: eta: 1 day, 0:19:54 iter: 16019 total_loss: 2.199 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0466 loss_box_reg_sup: 0.3815 loss_rpn_cls_sup: 0.03786 loss_rpn_loc_sup: 0.3117 loss_cls_unsup: 0.2654 loss_box_reg_unsup: 0.4418 loss_rpn_cls_unsup: 0.3289 loss_rpn_loc_unsup: 0.3911 time: 5.8322 data_time: 0.8063 lr: 0.016 max_mem: 18367M [10/25 19:12:30] d2.utils.events INFO: eta: 1 day, 0:17:59 iter: 16039 total_loss: 2.3 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04375 loss_box_reg_sup: 0.3873 loss_rpn_cls_sup: 0.03379 loss_rpn_loc_sup: 0.3193 loss_cls_unsup: 0.2752 loss_box_reg_unsup: 0.4391 loss_rpn_cls_unsup: 0.3459 loss_rpn_loc_unsup: 0.4276 time: 5.8338 data_time: 0.8590 lr: 0.016 max_mem: 18367M [10/25 19:14:49] d2.utils.events INFO: eta: 1 day, 0:16:29 iter: 16059 total_loss: 2.171 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04346 loss_box_reg_sup: 0.3715 loss_rpn_cls_sup: 0.0357 loss_rpn_loc_sup: 0.3179 loss_cls_unsup: 0.2704 loss_box_reg_unsup: 0.454 loss_rpn_cls_unsup: 0.3284 loss_rpn_loc_unsup: 0.3927 time: 5.8352 data_time: 0.8291 lr: 0.016 max_mem: 18367M [10/25 19:16:57] d2.utils.events INFO: eta: 1 day, 0:14:06 iter: 16079 total_loss: 2.225 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04096 loss_box_reg_sup: 0.3571 loss_rpn_cls_sup: 0.03941 loss_rpn_loc_sup: 0.3231 loss_cls_unsup: 0.2585 loss_box_reg_unsup: 0.4571 loss_rpn_cls_unsup: 0.3232 loss_rpn_loc_unsup: 0.4576 time: 5.8359 data_time: 0.8599 lr: 0.016 max_mem: 18367M [10/25 19:19:06] d2.utils.events INFO: eta: 1 day, 0:11:50 iter: 16099 total_loss: 2.281 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04208 loss_box_reg_sup: 0.3663 loss_rpn_cls_sup: 0.03668 loss_rpn_loc_sup: 0.3041 loss_cls_unsup: 0.2668 loss_box_reg_unsup: 0.4754 loss_rpn_cls_unsup: 0.335 loss_rpn_loc_unsup: 0.4143 time: 5.8366 data_time: 0.8293 lr: 0.016 max_mem: 18367M [10/25 19:21:13] d2.utils.events INFO: eta: 1 day, 0:09:38 iter: 16119 total_loss: 2.307 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04328 loss_box_reg_sup: 0.3735 loss_rpn_cls_sup: 0.03488 loss_rpn_loc_sup: 0.3363 loss_cls_unsup: 0.2712 loss_box_reg_unsup: 0.4401 loss_rpn_cls_unsup: 0.3173 loss_rpn_loc_unsup: 0.4741 time: 5.8373 data_time: 0.8457 lr: 0.016 max_mem: 18367M [10/25 19:23:21] d2.utils.events INFO: eta: 1 day, 0:07:32 iter: 16139 total_loss: 2.21 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03916 loss_box_reg_sup: 0.3358 loss_rpn_cls_sup: 0.03469 loss_rpn_loc_sup: 0.3141 loss_cls_unsup: 0.262 loss_box_reg_unsup: 0.4311 loss_rpn_cls_unsup: 0.3388 loss_rpn_loc_unsup: 0.4222 time: 5.8380 data_time: 0.8453 lr: 0.016 max_mem: 18367M [10/25 19:25:28] d2.utils.events INFO: eta: 1 day, 0:05:45 iter: 16159 total_loss: 2.213 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03609 loss_box_reg_sup: 0.3305 loss_rpn_cls_sup: 0.03111 loss_rpn_loc_sup: 0.3103 loss_cls_unsup: 0.2657 loss_box_reg_unsup: 0.4368 loss_rpn_cls_unsup: 0.336 loss_rpn_loc_unsup: 0.4839 time: 5.8386 data_time: 0.8070 lr: 0.016 max_mem: 18367M [10/25 19:27:34] d2.utils.events INFO: eta: 1 day, 0:03:46 iter: 16179 total_loss: 2.261 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04405 loss_box_reg_sup: 0.39 loss_rpn_cls_sup: 0.03705 loss_rpn_loc_sup: 0.3291 loss_cls_unsup: 0.2745 loss_box_reg_unsup: 0.4563 loss_rpn_cls_unsup: 0.3282 loss_rpn_loc_unsup: 0.4158 time: 5.8391 data_time: 0.8073 lr: 0.016 max_mem: 18367M [10/25 19:29:55] d2.utils.events INFO: eta: 1 day, 0:02:26 iter: 16199 total_loss: 2.31 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04148 loss_box_reg_sup: 0.3869 loss_rpn_cls_sup: 0.03295 loss_rpn_loc_sup: 0.3126 loss_cls_unsup: 0.2576 loss_box_reg_unsup: 0.4417 loss_rpn_cls_unsup: 0.3281 loss_rpn_loc_unsup: 0.4342 time: 5.8406 data_time: 0.8213 lr: 0.016 max_mem: 18367M [10/25 19:32:07] d2.utils.events INFO: eta: 1 day, 0:00:33 iter: 16219 total_loss: 2.208 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03824 loss_box_reg_sup: 0.3592 loss_rpn_cls_sup: 0.03672 loss_rpn_loc_sup: 0.3109 loss_cls_unsup: 0.2635 loss_box_reg_unsup: 0.4424 loss_rpn_cls_unsup: 0.3366 loss_rpn_loc_unsup: 0.4058 time: 5.8416 data_time: 0.8024 lr: 0.016 max_mem: 18367M [10/25 19:34:15] d2.utils.events INFO: eta: 23:58:19 iter: 16239 total_loss: 2.226 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04328 loss_box_reg_sup: 0.389 loss_rpn_cls_sup: 0.04151 loss_rpn_loc_sup: 0.3246 loss_cls_unsup: 0.2779 loss_box_reg_unsup: 0.4535 loss_rpn_cls_unsup: 0.3418 loss_rpn_loc_unsup: 0.413 time: 5.8423 data_time: 0.8443 lr: 0.016 max_mem: 18367M [10/25 19:36:22] d2.utils.events INFO: eta: 23:55:48 iter: 16259 total_loss: 2.23 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03615 loss_box_reg_sup: 0.3483 loss_rpn_cls_sup: 0.03691 loss_rpn_loc_sup: 0.3225 loss_cls_unsup: 0.2591 loss_box_reg_unsup: 0.441 loss_rpn_cls_unsup: 0.3259 loss_rpn_loc_unsup: 0.4417 time: 5.8429 data_time: 0.8053 lr: 0.016 max_mem: 18367M [10/25 19:38:32] d2.utils.events INFO: eta: 23:53:40 iter: 16279 total_loss: 2.251 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04266 loss_box_reg_sup: 0.3732 loss_rpn_cls_sup: 0.03547 loss_rpn_loc_sup: 0.3321 loss_cls_unsup: 0.2688 loss_box_reg_unsup: 0.4585 loss_rpn_cls_unsup: 0.3403 loss_rpn_loc_unsup: 0.406 time: 5.8437 data_time: 0.8115 lr: 0.016 max_mem: 18367M [10/25 19:40:37] d2.utils.events INFO: eta: 23:50:57 iter: 16299 total_loss: 2.239 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04073 loss_box_reg_sup: 0.3329 loss_rpn_cls_sup: 0.03443 loss_rpn_loc_sup: 0.2912 loss_cls_unsup: 0.268 loss_box_reg_unsup: 0.4519 loss_rpn_cls_unsup: 0.3389 loss_rpn_loc_unsup: 0.4352 time: 5.8442 data_time: 0.7785 lr: 0.016 max_mem: 18367M [10/25 19:42:44] d2.utils.events INFO: eta: 23:48:45 iter: 16319 total_loss: 2.17 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03592 loss_box_reg_sup: 0.3278 loss_rpn_cls_sup: 0.03569 loss_rpn_loc_sup: 0.3127 loss_cls_unsup: 0.2677 loss_box_reg_unsup: 0.4379 loss_rpn_cls_unsup: 0.3267 loss_rpn_loc_unsup: 0.423 time: 5.8448 data_time: 0.8153 lr: 0.016 max_mem: 18367M [10/25 19:44:50] d2.utils.events INFO: eta: 23:46:46 iter: 16339 total_loss: 2.179 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03808 loss_box_reg_sup: 0.3252 loss_rpn_cls_sup: 0.03672 loss_rpn_loc_sup: 0.312 loss_cls_unsup: 0.2717 loss_box_reg_unsup: 0.4648 loss_rpn_cls_unsup: 0.3108 loss_rpn_loc_unsup: 0.4292 time: 5.8454 data_time: 0.8431 lr: 0.016 max_mem: 18367M [10/25 19:46:56] d2.utils.events INFO: eta: 23:45:31 iter: 16359 total_loss: 2.278 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04293 loss_box_reg_sup: 0.3498 loss_rpn_cls_sup: 0.03399 loss_rpn_loc_sup: 0.3126 loss_cls_unsup: 0.2602 loss_box_reg_unsup: 0.4602 loss_rpn_cls_unsup: 0.3438 loss_rpn_loc_unsup: 0.5029 time: 5.8460 data_time: 0.8125 lr: 0.016 max_mem: 18367M [10/25 19:49:04] d2.utils.events INFO: eta: 23:42:46 iter: 16379 total_loss: 2.222 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03936 loss_box_reg_sup: 0.3401 loss_rpn_cls_sup: 0.03491 loss_rpn_loc_sup: 0.2966 loss_cls_unsup: 0.2695 loss_box_reg_unsup: 0.456 loss_rpn_cls_unsup: 0.331 loss_rpn_loc_unsup: 0.4064 time: 5.8466 data_time: 0.8121 lr: 0.016 max_mem: 18367M [10/25 19:51:15] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 19:51:15] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 19:51:15] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 19:51:15] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 19:51:16] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0488 s/iter. Eval: 0.0006 s/iter. Total: 0.0503 s/iter. ETA=0:04:24 [10/25 19:51:21] d2.evaluation.evaluator INFO: Inference done 126/5258. Dataloading: 0.0011 s/iter. Inference: 0.0423 s/iter. Eval: 0.0005 s/iter. Total: 0.0439 s/iter. ETA=0:03:45 [10/25 19:51:26] d2.evaluation.evaluator INFO: Inference done 248/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0005 s/iter. Total: 0.0426 s/iter. ETA=0:03:33 [10/25 19:51:31] d2.evaluation.evaluator INFO: Inference done 373/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:03:23 [10/25 19:51:36] d2.evaluation.evaluator INFO: Inference done 499/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:03:16 [10/25 19:51:41] d2.evaluation.evaluator INFO: Inference done 624/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:03:09 [10/25 19:51:46] d2.evaluation.evaluator INFO: Inference done 739/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:03:07 [10/25 19:51:51] d2.evaluation.evaluator INFO: Inference done 862/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0005 s/iter. Total: 0.0413 s/iter. ETA=0:03:01 [10/25 19:51:56] d2.evaluation.evaluator INFO: Inference done 987/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:02:55 [10/25 19:52:01] d2.evaluation.evaluator INFO: Inference done 1114/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:02:49 [10/25 19:52:06] d2.evaluation.evaluator INFO: Inference done 1232/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:02:45 [10/25 19:52:11] d2.evaluation.evaluator INFO: Inference done 1343/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:02:42 [10/25 19:52:16] d2.evaluation.evaluator INFO: Inference done 1471/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:02:36 [10/25 19:52:21] d2.evaluation.evaluator INFO: Inference done 1597/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:02:30 [10/25 19:52:26] d2.evaluation.evaluator INFO: Inference done 1709/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:02:26 [10/25 19:52:31] d2.evaluation.evaluator INFO: Inference done 1821/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:02:22 [10/25 19:52:36] d2.evaluation.evaluator INFO: Inference done 1942/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:02:17 [10/25 19:52:41] d2.evaluation.evaluator INFO: Inference done 2058/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:02:13 [10/25 19:52:47] d2.evaluation.evaluator INFO: Inference done 2184/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:02:07 [10/25 19:52:52] d2.evaluation.evaluator INFO: Inference done 2301/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:02:03 [10/25 19:52:57] d2.evaluation.evaluator INFO: Inference done 2428/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:01:57 [10/25 19:53:02] d2.evaluation.evaluator INFO: Inference done 2557/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:01:51 [10/25 19:53:07] d2.evaluation.evaluator INFO: Inference done 2686/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0005 s/iter. Total: 0.0413 s/iter. ETA=0:01:46 [10/25 19:53:12] d2.evaluation.evaluator INFO: Inference done 2814/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:01:40 [10/25 19:53:17] d2.evaluation.evaluator INFO: Inference done 2941/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:01:35 [10/25 19:53:22] d2.evaluation.evaluator INFO: Inference done 3064/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:01:30 [10/25 19:53:27] d2.evaluation.evaluator INFO: Inference done 3185/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:01:25 [10/25 19:53:32] d2.evaluation.evaluator INFO: Inference done 3306/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:01:20 [10/25 19:53:37] d2.evaluation.evaluator INFO: Inference done 3431/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:01:15 [10/25 19:53:42] d2.evaluation.evaluator INFO: Inference done 3560/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:01:09 [10/25 19:53:47] d2.evaluation.evaluator INFO: Inference done 3689/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:01:04 [10/25 19:53:52] d2.evaluation.evaluator INFO: Inference done 3809/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:00:59 [10/25 19:53:57] d2.evaluation.evaluator INFO: Inference done 3932/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:00:54 [10/25 19:54:02] d2.evaluation.evaluator INFO: Inference done 4051/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:00:49 [10/25 19:54:07] d2.evaluation.evaluator INFO: Inference done 4177/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:00:44 [10/25 19:54:12] d2.evaluation.evaluator INFO: Inference done 4306/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:00:38 [10/25 19:54:17] d2.evaluation.evaluator INFO: Inference done 4428/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:00:33 [10/25 19:54:22] d2.evaluation.evaluator INFO: Inference done 4555/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:00:28 [10/25 19:54:27] d2.evaluation.evaluator INFO: Inference done 4684/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:00:23 [10/25 19:54:32] d2.evaluation.evaluator INFO: Inference done 4815/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:00:18 [10/25 19:54:37] d2.evaluation.evaluator INFO: Inference done 4933/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:00:13 [10/25 19:54:42] d2.evaluation.evaluator INFO: Inference done 5059/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:00:08 [10/25 19:54:47] d2.evaluation.evaluator INFO: Inference done 5184/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:00:03 [10/25 19:54:50] d2.evaluation.evaluator INFO: Total inference time: 0:03:34.042905 (0.040747 s / iter per device, on 1 devices) [10/25 19:54:50] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:25 (0.039210 s / iter per device, on 1 devices) [10/25 19:54:50] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 19:55:56] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 19:55:56] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 19:55:56] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 19:55:56] d2.evaluation.testing INFO: copypaste: 5.5323,12.4116,4.5935 [10/25 19:55:58] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 19:55:58] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 19:55:58] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 19:55:58] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 19:55:59] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:04:20 [10/25 19:56:04] d2.evaluation.evaluator INFO: Inference done 106/5258. Dataloading: 0.0011 s/iter. Inference: 0.0509 s/iter. Eval: 0.0005 s/iter. Total: 0.0525 s/iter. ETA=0:04:30 [10/25 19:56:09] d2.evaluation.evaluator INFO: Inference done 208/5258. Dataloading: 0.0011 s/iter. Inference: 0.0492 s/iter. Eval: 0.0005 s/iter. Total: 0.0508 s/iter. ETA=0:04:16 [10/25 19:56:14] d2.evaluation.evaluator INFO: Inference done 308/5258. Dataloading: 0.0011 s/iter. Inference: 0.0490 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:04:10 [10/25 19:56:19] d2.evaluation.evaluator INFO: Inference done 410/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:04:03 [10/25 19:56:24] d2.evaluation.evaluator INFO: Inference done 512/5258. Dataloading: 0.0010 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:57 [10/25 19:56:29] d2.evaluation.evaluator INFO: Inference done 613/5258. 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ETA=0:01:39 [10/25 19:58:45] d2.evaluation.evaluator INFO: Inference done 3357/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:34 [10/25 19:58:50] d2.evaluation.evaluator INFO: Inference done 3460/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:29 [10/25 19:58:55] d2.evaluation.evaluator INFO: Inference done 3561/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:24 [10/25 19:59:00] d2.evaluation.evaluator INFO: Inference done 3659/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:01:19 [10/25 19:59:05] d2.evaluation.evaluator INFO: Inference done 3762/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:14 [10/25 19:59:10] d2.evaluation.evaluator INFO: Inference done 3863/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:09 [10/25 19:59:15] d2.evaluation.evaluator INFO: Inference done 3964/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:04 [10/25 19:59:20] d2.evaluation.evaluator INFO: Inference done 4065/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:59 [10/25 19:59:25] d2.evaluation.evaluator INFO: Inference done 4166/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:54 [10/25 19:59:30] d2.evaluation.evaluator INFO: Inference done 4267/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:49 [10/25 19:59:35] d2.evaluation.evaluator INFO: Inference done 4368/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. 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ETA=0:00:18 [10/25 20:00:05] d2.evaluation.evaluator INFO: Inference done 4977/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:13 [10/25 20:00:10] d2.evaluation.evaluator INFO: Inference done 5078/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:08 [10/25 20:00:15] d2.evaluation.evaluator INFO: Inference done 5180/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:03 [10/25 20:00:19] d2.evaluation.evaluator INFO: Total inference time: 0:04:20.266161 (0.049546 s / iter per device, on 1 devices) [10/25 20:00:19] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:12 (0.047990 s / iter per device, on 1 devices) [10/25 20:00:19] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 20:01:31] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 20:01:31] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 20:01:31] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 20:01:31] d2.evaluation.testing INFO: copypaste: 6.2738,13.1105,5.7810 [10/25 20:01:31] d2.utils.events INFO: eta: 23:40:58 iter: 16399 total_loss: 2.373 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0389 loss_box_reg_sup: 0.3648 loss_rpn_cls_sup: 0.03693 loss_rpn_loc_sup: 0.3209 loss_cls_unsup: 0.273 loss_box_reg_unsup: 0.4748 loss_rpn_cls_unsup: 0.3295 loss_rpn_loc_unsup: 0.4912 time: 5.8471 data_time: 0.8429 lr: 0.016 max_mem: 18367M [10/25 20:03:36] d2.utils.events INFO: eta: 23:38:40 iter: 16419 total_loss: 2.254 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03926 loss_box_reg_sup: 0.3528 loss_rpn_cls_sup: 0.03304 loss_rpn_loc_sup: 0.3133 loss_cls_unsup: 0.2749 loss_box_reg_unsup: 0.4517 loss_rpn_cls_unsup: 0.321 loss_rpn_loc_unsup: 0.4088 time: 5.8476 data_time: 0.8397 lr: 0.016 max_mem: 18367M [10/25 20:05:48] d2.utils.events INFO: eta: 23:36:52 iter: 16439 total_loss: 2.213 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04021 loss_box_reg_sup: 0.3537 loss_rpn_cls_sup: 0.03417 loss_rpn_loc_sup: 0.3081 loss_cls_unsup: 0.2713 loss_box_reg_unsup: 0.4331 loss_rpn_cls_unsup: 0.3358 loss_rpn_loc_unsup: 0.4429 time: 5.8485 data_time: 0.8349 lr: 0.016 max_mem: 18367M [10/25 20:07:51] d2.utils.events INFO: eta: 23:34:01 iter: 16459 total_loss: 2.27 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03955 loss_box_reg_sup: 0.3608 loss_rpn_cls_sup: 0.03577 loss_rpn_loc_sup: 0.3079 loss_cls_unsup: 0.2779 loss_box_reg_unsup: 0.4397 loss_rpn_cls_unsup: 0.3262 loss_rpn_loc_unsup: 0.4331 time: 5.8489 data_time: 0.7905 lr: 0.016 max_mem: 18367M [10/25 20:10:29] d2.utils.events INFO: eta: 23:31:56 iter: 16479 total_loss: 2.24 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04036 loss_box_reg_sup: 0.3556 loss_rpn_cls_sup: 0.03433 loss_rpn_loc_sup: 0.3107 loss_cls_unsup: 0.2794 loss_box_reg_unsup: 0.4592 loss_rpn_cls_unsup: 0.3071 loss_rpn_loc_unsup: 0.4527 time: 5.8513 data_time: 0.7917 lr: 0.016 max_mem: 18367M [10/25 20:12:43] d2.utils.events INFO: eta: 23:29:37 iter: 16499 total_loss: 2.238 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03942 loss_box_reg_sup: 0.3492 loss_rpn_cls_sup: 0.03612 loss_rpn_loc_sup: 0.3198 loss_cls_unsup: 0.28 loss_box_reg_unsup: 0.467 loss_rpn_cls_unsup: 0.3211 loss_rpn_loc_unsup: 0.402 time: 5.8524 data_time: 0.8083 lr: 0.016 max_mem: 18367M [10/25 20:14:54] d2.utils.events INFO: eta: 23:27:31 iter: 16519 total_loss: 2.215 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04038 loss_box_reg_sup: 0.3659 loss_rpn_cls_sup: 0.03406 loss_rpn_loc_sup: 0.3033 loss_cls_unsup: 0.2702 loss_box_reg_unsup: 0.4522 loss_rpn_cls_unsup: 0.3318 loss_rpn_loc_unsup: 0.4056 time: 5.8532 data_time: 0.8096 lr: 0.016 max_mem: 18367M [10/25 20:17:13] d2.utils.events INFO: eta: 23:25:28 iter: 16539 total_loss: 2.316 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04211 loss_box_reg_sup: 0.3787 loss_rpn_cls_sup: 0.03314 loss_rpn_loc_sup: 0.3286 loss_cls_unsup: 0.271 loss_box_reg_unsup: 0.4426 loss_rpn_cls_unsup: 0.3249 loss_rpn_loc_unsup: 0.4246 time: 5.8546 data_time: 0.8618 lr: 0.016 max_mem: 18367M [10/25 20:19:26] d2.utils.events INFO: eta: 23:23:56 iter: 16559 total_loss: 2.191 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0399 loss_box_reg_sup: 0.3481 loss_rpn_cls_sup: 0.03289 loss_rpn_loc_sup: 0.2923 loss_cls_unsup: 0.2694 loss_box_reg_unsup: 0.4285 loss_rpn_cls_unsup: 0.3208 loss_rpn_loc_unsup: 0.3874 time: 5.8555 data_time: 0.8211 lr: 0.016 max_mem: 18367M [10/25 20:21:39] d2.utils.events INFO: eta: 23:22:07 iter: 16579 total_loss: 2.231 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03755 loss_box_reg_sup: 0.3388 loss_rpn_cls_sup: 0.0345 loss_rpn_loc_sup: 0.3003 loss_cls_unsup: 0.28 loss_box_reg_unsup: 0.4529 loss_rpn_cls_unsup: 0.3163 loss_rpn_loc_unsup: 0.4131 time: 5.8565 data_time: 0.8301 lr: 0.016 max_mem: 18367M [10/25 20:23:55] d2.utils.events INFO: eta: 23:19:45 iter: 16599 total_loss: 2.206 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03914 loss_box_reg_sup: 0.3413 loss_rpn_cls_sup: 0.03435 loss_rpn_loc_sup: 0.3232 loss_cls_unsup: 0.2788 loss_box_reg_unsup: 0.4599 loss_rpn_cls_unsup: 0.3174 loss_rpn_loc_unsup: 0.4017 time: 5.8576 data_time: 0.8325 lr: 0.016 max_mem: 18367M [10/25 20:26:05] d2.utils.events INFO: eta: 23:17:25 iter: 16619 total_loss: 2.273 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.043 loss_box_reg_sup: 0.341 loss_rpn_cls_sup: 0.03772 loss_rpn_loc_sup: 0.3004 loss_cls_unsup: 0.2767 loss_box_reg_unsup: 0.4481 loss_rpn_cls_unsup: 0.3344 loss_rpn_loc_unsup: 0.4563 time: 5.8584 data_time: 0.8376 lr: 0.016 max_mem: 18367M [10/25 20:28:17] d2.utils.events INFO: eta: 23:15:00 iter: 16639 total_loss: 2.201 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03534 loss_box_reg_sup: 0.3244 loss_rpn_cls_sup: 0.03098 loss_rpn_loc_sup: 0.289 loss_cls_unsup: 0.2745 loss_box_reg_unsup: 0.4333 loss_rpn_cls_unsup: 0.3328 loss_rpn_loc_unsup: 0.4665 time: 5.8593 data_time: 0.8106 lr: 0.016 max_mem: 18367M [10/25 20:30:37] d2.utils.events INFO: eta: 23:13:02 iter: 16659 total_loss: 2.271 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03885 loss_box_reg_sup: 0.3543 loss_rpn_cls_sup: 0.03514 loss_rpn_loc_sup: 0.2942 loss_cls_unsup: 0.2572 loss_box_reg_unsup: 0.458 loss_rpn_cls_unsup: 0.3371 loss_rpn_loc_unsup: 0.4558 time: 5.8606 data_time: 0.8365 lr: 0.016 max_mem: 18367M [10/25 20:32:47] d2.utils.events INFO: eta: 23:10:53 iter: 16679 total_loss: 2.305 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04145 loss_box_reg_sup: 0.3467 loss_rpn_cls_sup: 0.0342 loss_rpn_loc_sup: 0.316 loss_cls_unsup: 0.261 loss_box_reg_unsup: 0.4418 loss_rpn_cls_unsup: 0.3407 loss_rpn_loc_unsup: 0.4822 time: 5.8614 data_time: 0.8219 lr: 0.016 max_mem: 18367M [10/25 20:35:07] d2.utils.events INFO: eta: 23:09:18 iter: 16699 total_loss: 2.294 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04408 loss_box_reg_sup: 0.3707 loss_rpn_cls_sup: 0.03893 loss_rpn_loc_sup: 0.3249 loss_cls_unsup: 0.2783 loss_box_reg_unsup: 0.4465 loss_rpn_cls_unsup: 0.3107 loss_rpn_loc_unsup: 0.4616 time: 5.8627 data_time: 0.8128 lr: 0.016 max_mem: 18367M [10/25 20:37:25] d2.utils.events INFO: eta: 23:07:24 iter: 16719 total_loss: 2.292 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04365 loss_box_reg_sup: 0.3533 loss_rpn_cls_sup: 0.03726 loss_rpn_loc_sup: 0.3278 loss_cls_unsup: 0.2694 loss_box_reg_unsup: 0.4644 loss_rpn_cls_unsup: 0.3377 loss_rpn_loc_unsup: 0.4646 time: 5.8640 data_time: 0.8456 lr: 0.016 max_mem: 18367M [10/25 20:39:33] d2.utils.events INFO: eta: 23:04:41 iter: 16739 total_loss: 2.279 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03817 loss_box_reg_sup: 0.3373 loss_rpn_cls_sup: 0.03537 loss_rpn_loc_sup: 0.312 loss_cls_unsup: 0.2653 loss_box_reg_unsup: 0.4596 loss_rpn_cls_unsup: 0.3316 loss_rpn_loc_unsup: 0.4815 time: 5.8647 data_time: 0.8239 lr: 0.016 max_mem: 18367M [10/25 20:41:45] d2.utils.events INFO: eta: 23:02:46 iter: 16759 total_loss: 2.257 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0392 loss_box_reg_sup: 0.3592 loss_rpn_cls_sup: 0.03391 loss_rpn_loc_sup: 0.3001 loss_cls_unsup: 0.2769 loss_box_reg_unsup: 0.4694 loss_rpn_cls_unsup: 0.3336 loss_rpn_loc_unsup: 0.4541 time: 5.8655 data_time: 0.8193 lr: 0.016 max_mem: 18367M [10/25 20:44:00] d2.utils.events INFO: eta: 23:00:27 iter: 16779 total_loss: 2.305 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04334 loss_box_reg_sup: 0.3878 loss_rpn_cls_sup: 0.0418 loss_rpn_loc_sup: 0.3261 loss_cls_unsup: 0.2624 loss_box_reg_unsup: 0.4492 loss_rpn_cls_unsup: 0.3121 loss_rpn_loc_unsup: 0.4405 time: 5.8666 data_time: 0.8140 lr: 0.016 max_mem: 18367M [10/25 20:46:11] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 20:46:12] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 20:46:12] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 20:46:12] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 20:46:13] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0516 s/iter. Eval: 0.0005 s/iter. Total: 0.0529 s/iter. ETA=0:04:37 [10/25 20:46:18] d2.evaluation.evaluator INFO: Inference done 130/5258. Dataloading: 0.0011 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0427 s/iter. ETA=0:03:38 [10/25 20:46:23] d2.evaluation.evaluator INFO: Inference done 229/5258. Dataloading: 0.0011 s/iter. Inference: 0.0448 s/iter. Eval: 0.0004 s/iter. Total: 0.0463 s/iter. ETA=0:03:52 [10/25 20:46:28] d2.evaluation.evaluator INFO: Inference done 335/5258. Dataloading: 0.0011 s/iter. 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ETA=0:02:59 [10/25 20:46:58] d2.evaluation.evaluator INFO: Inference done 1094/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:02:53 [10/25 20:47:03] d2.evaluation.evaluator INFO: Inference done 1219/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:02:48 [10/25 20:47:08] d2.evaluation.evaluator INFO: Inference done 1344/5258. Dataloading: 0.0011 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:02:42 [10/25 20:47:13] d2.evaluation.evaluator INFO: Inference done 1468/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:02:36 [10/25 20:47:18] d2.evaluation.evaluator INFO: Inference done 1594/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:02:31 [10/25 20:47:23] d2.evaluation.evaluator INFO: Inference done 1722/5258. 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ETA=0:00:12 [10/25 20:49:39] d2.evaluation.evaluator INFO: Inference done 5075/5258. Dataloading: 0.0011 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:00:07 [10/25 20:49:44] d2.evaluation.evaluator INFO: Inference done 5194/5258. Dataloading: 0.0011 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:00:02 [10/25 20:49:47] d2.evaluation.evaluator INFO: Total inference time: 0:03:34.034825 (0.040745 s / iter per device, on 1 devices) [10/25 20:49:47] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:26 (0.039229 s / iter per device, on 1 devices) [10/25 20:49:47] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 20:50:44] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 20:50:44] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 20:50:44] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 20:50:44] d2.evaluation.testing INFO: copypaste: 5.8480,12.8738,4.9953 [10/25 20:50:46] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 20:50:46] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 20:50:46] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 20:50:46] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 20:50:47] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0493 s/iter. Eval: 0.0006 s/iter. Total: 0.0507 s/iter. ETA=0:04:26 [10/25 20:50:52] d2.evaluation.evaluator INFO: Inference done 110/5258. Dataloading: 0.0011 s/iter. Inference: 0.0490 s/iter. Eval: 0.0005 s/iter. Total: 0.0507 s/iter. ETA=0:04:20 [10/25 20:50:57] d2.evaluation.evaluator INFO: Inference done 212/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:04:12 [10/25 20:51:02] d2.evaluation.evaluator INFO: Inference done 313/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:04:06 [10/25 20:51:07] d2.evaluation.evaluator INFO: Inference done 415/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:04:01 [10/25 20:51:12] d2.evaluation.evaluator INFO: Inference done 517/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:55 [10/25 20:51:17] d2.evaluation.evaluator INFO: Inference done 617/5258. 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ETA=0:00:24 [10/25 20:54:53] d2.evaluation.evaluator INFO: Inference done 4871/5258. Dataloading: 0.0011 s/iter. Inference: 0.0490 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:00:19 [10/25 20:54:58] d2.evaluation.evaluator INFO: Inference done 4973/5258. Dataloading: 0.0011 s/iter. Inference: 0.0490 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:00:14 [10/25 20:55:03] d2.evaluation.evaluator INFO: Inference done 5074/5258. Dataloading: 0.0011 s/iter. Inference: 0.0490 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:00:09 [10/25 20:55:08] d2.evaluation.evaluator INFO: Inference done 5176/5258. Dataloading: 0.0011 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:00:04 [10/25 20:55:12] d2.evaluation.evaluator INFO: Total inference time: 0:04:25.717955 (0.050584 s / iter per device, on 1 devices) [10/25 20:55:12] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:17 (0.048947 s / iter per device, on 1 devices) [10/25 20:55:12] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 20:56:25] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 20:56:25] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 20:56:25] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 20:56:25] d2.evaluation.testing INFO: copypaste: 6.2391,13.0665,5.7480 [10/25 20:56:25] d2.utils.events INFO: eta: 22:58:17 iter: 16799 total_loss: 2.244 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04049 loss_box_reg_sup: 0.3405 loss_rpn_cls_sup: 0.03347 loss_rpn_loc_sup: 0.3102 loss_cls_unsup: 0.2693 loss_box_reg_unsup: 0.4603 loss_rpn_cls_unsup: 0.3293 loss_rpn_loc_unsup: 0.4188 time: 5.8670 data_time: 0.8025 lr: 0.016 max_mem: 18367M [10/25 20:58:32] d2.utils.events INFO: eta: 22:56:00 iter: 16819 total_loss: 2.306 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04131 loss_box_reg_sup: 0.3506 loss_rpn_cls_sup: 0.03464 loss_rpn_loc_sup: 0.3111 loss_cls_unsup: 0.2797 loss_box_reg_unsup: 0.4515 loss_rpn_cls_unsup: 0.3299 loss_rpn_loc_unsup: 0.418 time: 5.8676 data_time: 0.8439 lr: 0.016 max_mem: 18367M [10/25 21:00:52] d2.utils.events INFO: eta: 22:53:51 iter: 16839 total_loss: 2.295 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04489 loss_box_reg_sup: 0.3541 loss_rpn_cls_sup: 0.03977 loss_rpn_loc_sup: 0.3263 loss_cls_unsup: 0.2789 loss_box_reg_unsup: 0.4452 loss_rpn_cls_unsup: 0.323 loss_rpn_loc_unsup: 0.4699 time: 5.8689 data_time: 0.8356 lr: 0.016 max_mem: 18367M [10/25 21:02:58] d2.utils.events INFO: eta: 22:51:49 iter: 16859 total_loss: 2.238 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03629 loss_box_reg_sup: 0.3413 loss_rpn_cls_sup: 0.03272 loss_rpn_loc_sup: 0.3149 loss_cls_unsup: 0.2712 loss_box_reg_unsup: 0.4516 loss_rpn_cls_unsup: 0.3102 loss_rpn_loc_unsup: 0.4434 time: 5.8694 data_time: 0.8089 lr: 0.016 max_mem: 18367M [10/25 21:05:40] d2.utils.events INFO: eta: 22:49:27 iter: 16879 total_loss: 2.229 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0422 loss_box_reg_sup: 0.3691 loss_rpn_cls_sup: 0.03618 loss_rpn_loc_sup: 0.3111 loss_cls_unsup: 0.2589 loss_box_reg_unsup: 0.4867 loss_rpn_cls_unsup: 0.3088 loss_rpn_loc_unsup: 0.4127 time: 5.8721 data_time: 0.7953 lr: 0.016 max_mem: 18367M [10/25 21:07:46] d2.utils.events INFO: eta: 22:47:26 iter: 16899 total_loss: 2.274 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03916 loss_box_reg_sup: 0.3737 loss_rpn_cls_sup: 0.03056 loss_rpn_loc_sup: 0.2952 loss_cls_unsup: 0.2805 loss_box_reg_unsup: 0.4634 loss_rpn_cls_unsup: 0.3216 loss_rpn_loc_unsup: 0.3906 time: 5.8726 data_time: 0.8387 lr: 0.016 max_mem: 18367M [10/25 21:10:03] d2.utils.events INFO: eta: 22:45:53 iter: 16919 total_loss: 2.257 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04178 loss_box_reg_sup: 0.3738 loss_rpn_cls_sup: 0.03568 loss_rpn_loc_sup: 0.3244 loss_cls_unsup: 0.2769 loss_box_reg_unsup: 0.4484 loss_rpn_cls_unsup: 0.3383 loss_rpn_loc_unsup: 0.4409 time: 5.8738 data_time: 0.8469 lr: 0.016 max_mem: 18367M [10/25 21:12:12] d2.utils.events INFO: eta: 22:44:08 iter: 16939 total_loss: 2.208 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04099 loss_box_reg_sup: 0.3832 loss_rpn_cls_sup: 0.034 loss_rpn_loc_sup: 0.3131 loss_cls_unsup: 0.2776 loss_box_reg_unsup: 0.4346 loss_rpn_cls_unsup: 0.3217 loss_rpn_loc_unsup: 0.4301 time: 5.8744 data_time: 0.8116 lr: 0.016 max_mem: 18367M [10/25 21:14:22] d2.utils.events INFO: eta: 22:41:47 iter: 16959 total_loss: 2.149 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03839 loss_box_reg_sup: 0.3094 loss_rpn_cls_sup: 0.03453 loss_rpn_loc_sup: 0.3014 loss_cls_unsup: 0.2621 loss_box_reg_unsup: 0.4581 loss_rpn_cls_unsup: 0.3155 loss_rpn_loc_unsup: 0.4056 time: 5.8751 data_time: 0.8174 lr: 0.016 max_mem: 18367M [10/25 21:16:40] d2.utils.events INFO: eta: 22:39:37 iter: 16979 total_loss: 2.265 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04178 loss_box_reg_sup: 0.366 loss_rpn_cls_sup: 0.03718 loss_rpn_loc_sup: 0.3144 loss_cls_unsup: 0.2695 loss_box_reg_unsup: 0.4912 loss_rpn_cls_unsup: 0.3352 loss_rpn_loc_unsup: 0.428 time: 5.8763 data_time: 0.8202 lr: 0.016 max_mem: 18367M [10/25 21:19:03] d2.utils.events INFO: eta: 22:37:36 iter: 16999 total_loss: 2.351 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03982 loss_box_reg_sup: 0.3705 loss_rpn_cls_sup: 0.03592 loss_rpn_loc_sup: 0.3137 loss_cls_unsup: 0.2731 loss_box_reg_unsup: 0.4646 loss_rpn_cls_unsup: 0.3592 loss_rpn_loc_unsup: 0.4583 time: 5.8779 data_time: 0.8071 lr: 0.016 max_mem: 18367M [10/25 21:21:10] d2.utils.events INFO: eta: 22:35:05 iter: 17019 total_loss: 2.268 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04374 loss_box_reg_sup: 0.4017 loss_rpn_cls_sup: 0.03407 loss_rpn_loc_sup: 0.3224 loss_cls_unsup: 0.2628 loss_box_reg_unsup: 0.4616 loss_rpn_cls_unsup: 0.3339 loss_rpn_loc_unsup: 0.4593 time: 5.8784 data_time: 0.8229 lr: 0.016 max_mem: 18367M [10/25 21:23:18] d2.utils.events INFO: eta: 22:32:45 iter: 17039 total_loss: 2.323 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04254 loss_box_reg_sup: 0.3647 loss_rpn_cls_sup: 0.03537 loss_rpn_loc_sup: 0.3234 loss_cls_unsup: 0.2684 loss_box_reg_unsup: 0.4638 loss_rpn_cls_unsup: 0.3354 loss_rpn_loc_unsup: 0.4566 time: 5.8790 data_time: 0.8295 lr: 0.016 max_mem: 18367M [10/25 21:25:25] d2.utils.events INFO: eta: 22:30:09 iter: 17059 total_loss: 2.262 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03775 loss_box_reg_sup: 0.3517 loss_rpn_cls_sup: 0.03581 loss_rpn_loc_sup: 0.2984 loss_cls_unsup: 0.2577 loss_box_reg_unsup: 0.4631 loss_rpn_cls_unsup: 0.3389 loss_rpn_loc_unsup: 0.506 time: 5.8796 data_time: 0.7937 lr: 0.016 max_mem: 18367M [10/25 21:27:31] d2.utils.events INFO: eta: 22:27:53 iter: 17079 total_loss: 2.236 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04073 loss_box_reg_sup: 0.3302 loss_rpn_cls_sup: 0.03811 loss_rpn_loc_sup: 0.3109 loss_cls_unsup: 0.2712 loss_box_reg_unsup: 0.4503 loss_rpn_cls_unsup: 0.3222 loss_rpn_loc_unsup: 0.4456 time: 5.8800 data_time: 0.7909 lr: 0.016 max_mem: 18367M [10/25 21:29:38] d2.utils.events INFO: eta: 22:25:18 iter: 17099 total_loss: 2.32 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03837 loss_box_reg_sup: 0.3591 loss_rpn_cls_sup: 0.03617 loss_rpn_loc_sup: 0.3172 loss_cls_unsup: 0.2752 loss_box_reg_unsup: 0.4587 loss_rpn_cls_unsup: 0.3259 loss_rpn_loc_unsup: 0.4375 time: 5.8806 data_time: 0.7867 lr: 0.016 max_mem: 18367M [10/25 21:31:47] d2.utils.events INFO: eta: 22:23:25 iter: 17119 total_loss: 2.363 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03968 loss_box_reg_sup: 0.3671 loss_rpn_cls_sup: 0.0366 loss_rpn_loc_sup: 0.3319 loss_cls_unsup: 0.2684 loss_box_reg_unsup: 0.4695 loss_rpn_cls_unsup: 0.3497 loss_rpn_loc_unsup: 0.4901 time: 5.8813 data_time: 0.8127 lr: 0.016 max_mem: 18367M [10/25 21:33:52] d2.utils.events INFO: eta: 22:21:37 iter: 17139 total_loss: 2.178 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0392 loss_box_reg_sup: 0.35 loss_rpn_cls_sup: 0.03173 loss_rpn_loc_sup: 0.2942 loss_cls_unsup: 0.2715 loss_box_reg_unsup: 0.471 loss_rpn_cls_unsup: 0.3228 loss_rpn_loc_unsup: 0.4048 time: 5.8817 data_time: 0.8136 lr: 0.016 max_mem: 18367M [10/25 21:36:00] d2.utils.events INFO: eta: 22:19:57 iter: 17159 total_loss: 2.277 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04015 loss_box_reg_sup: 0.3416 loss_rpn_cls_sup: 0.03625 loss_rpn_loc_sup: 0.3059 loss_cls_unsup: 0.2535 loss_box_reg_unsup: 0.4588 loss_rpn_cls_unsup: 0.3314 loss_rpn_loc_unsup: 0.4604 time: 5.8823 data_time: 0.8200 lr: 0.016 max_mem: 18367M [10/25 21:38:16] d2.utils.events INFO: eta: 22:18:12 iter: 17179 total_loss: 2.344 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04021 loss_box_reg_sup: 0.3472 loss_rpn_cls_sup: 0.03572 loss_rpn_loc_sup: 0.3078 loss_cls_unsup: 0.2815 loss_box_reg_unsup: 0.4906 loss_rpn_cls_unsup: 0.3364 loss_rpn_loc_unsup: 0.4768 time: 5.8834 data_time: 0.8780 lr: 0.016 max_mem: 18367M [10/25 21:40:30] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 21:40:30] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 21:40:30] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 21:40:30] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 21:40:31] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:04:22 [10/25 21:40:36] d2.evaluation.evaluator INFO: Inference done 138/5258. Dataloading: 0.0011 s/iter. Inference: 0.0385 s/iter. Eval: 0.0005 s/iter. Total: 0.0401 s/iter. ETA=0:03:25 [10/25 21:40:41] d2.evaluation.evaluator INFO: Inference done 264/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0005 s/iter. Total: 0.0400 s/iter. ETA=0:03:19 [10/25 21:40:46] d2.evaluation.evaluator INFO: Inference done 393/5258. Dataloading: 0.0010 s/iter. 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ETA=0:01:32 [10/25 21:42:37] d2.evaluation.evaluator INFO: Inference done 3101/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:01:27 [10/25 21:42:42] d2.evaluation.evaluator INFO: Inference done 3219/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:01:23 [10/25 21:42:47] d2.evaluation.evaluator INFO: Inference done 3331/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:01:18 [10/25 21:42:52] d2.evaluation.evaluator INFO: Inference done 3453/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:01:13 [10/25 21:42:57] d2.evaluation.evaluator INFO: Inference done 3576/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:01:08 [10/25 21:43:02] d2.evaluation.evaluator INFO: Inference done 3694/5258. 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ETA=0:00:13 [10/25 21:43:57] d2.evaluation.evaluator INFO: Inference done 5050/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:00:08 [10/25 21:44:02] d2.evaluation.evaluator INFO: Inference done 5174/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:00:03 [10/25 21:44:06] d2.evaluation.evaluator INFO: Total inference time: 0:03:34.694139 (0.040871 s / iter per device, on 1 devices) [10/25 21:44:06] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:26 (0.039360 s / iter per device, on 1 devices) [10/25 21:44:06] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 21:45:15] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 21:45:15] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 21:45:15] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 21:45:15] d2.evaluation.testing INFO: copypaste: 5.9242,12.5588,5.3627 [10/25 21:45:17] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 21:45:17] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 21:45:17] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 21:45:17] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 21:45:18] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0506 s/iter. Eval: 0.0005 s/iter. Total: 0.0519 s/iter. ETA=0:04:32 [10/25 21:45:23] d2.evaluation.evaluator INFO: Inference done 108/5258. Dataloading: 0.0014 s/iter. Inference: 0.0498 s/iter. Eval: 0.0005 s/iter. Total: 0.0517 s/iter. ETA=0:04:26 [10/25 21:45:28] d2.evaluation.evaluator INFO: Inference done 206/5258. Dataloading: 0.0013 s/iter. Inference: 0.0497 s/iter. Eval: 0.0005 s/iter. Total: 0.0514 s/iter. ETA=0:04:19 [10/25 21:45:33] d2.evaluation.evaluator INFO: Inference done 309/5258. Dataloading: 0.0012 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:04:10 [10/25 21:45:38] d2.evaluation.evaluator INFO: Inference done 411/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:04:03 [10/25 21:45:43] d2.evaluation.evaluator INFO: Inference done 511/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:03:58 [10/25 21:45:48] d2.evaluation.evaluator INFO: Inference done 608/5258. 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ETA=0:03:04 [10/25 21:46:43] d2.evaluation.evaluator INFO: Inference done 1709/5258. Dataloading: 0.0012 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:02:58 [10/25 21:46:48] d2.evaluation.evaluator INFO: Inference done 1809/5258. Dataloading: 0.0012 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:02:53 [10/25 21:46:53] d2.evaluation.evaluator INFO: Inference done 1910/5258. Dataloading: 0.0012 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:02:48 [10/25 21:46:58] d2.evaluation.evaluator INFO: Inference done 2012/5258. Dataloading: 0.0012 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:02:43 [10/25 21:47:03] d2.evaluation.evaluator INFO: Inference done 2112/5258. Dataloading: 0.0012 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:02:38 [10/25 21:47:08] d2.evaluation.evaluator INFO: Inference done 2213/5258. 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ETA=0:00:20 [10/25 21:49:24] d2.evaluation.evaluator INFO: Inference done 4951/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:00:15 [10/25 21:49:29] d2.evaluation.evaluator INFO: Inference done 5053/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:00:10 [10/25 21:49:34] d2.evaluation.evaluator INFO: Inference done 5154/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:00:05 [10/25 21:49:39] d2.evaluation.evaluator INFO: Inference done 5256/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:00:00 [10/25 21:49:39] d2.evaluation.evaluator INFO: Total inference time: 0:04:21.569349 (0.049794 s / iter per device, on 1 devices) [10/25 21:49:39] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:13 (0.048192 s / iter per device, on 1 devices) [10/25 21:49:39] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 21:50:48] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 21:50:48] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 21:50:48] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 21:50:48] d2.evaluation.testing INFO: copypaste: 6.2185,13.0772,5.6992 [10/25 21:50:48] d2.utils.events INFO: eta: 22:15:54 iter: 17199 total_loss: 2.346 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04156 loss_box_reg_sup: 0.351 loss_rpn_cls_sup: 0.03497 loss_rpn_loc_sup: 0.3255 loss_cls_unsup: 0.2697 loss_box_reg_unsup: 0.473 loss_rpn_cls_unsup: 0.3207 loss_rpn_loc_unsup: 0.5046 time: 5.8840 data_time: 0.7821 lr: 0.016 max_mem: 18367M [10/25 21:53:26] d2.utils.events INFO: eta: 22:14:02 iter: 17219 total_loss: 2.254 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03746 loss_box_reg_sup: 0.3246 loss_rpn_cls_sup: 0.03216 loss_rpn_loc_sup: 0.3104 loss_cls_unsup: 0.2694 loss_box_reg_unsup: 0.4663 loss_rpn_cls_unsup: 0.3352 loss_rpn_loc_unsup: 0.4518 time: 5.8863 data_time: 0.8532 lr: 0.016 max_mem: 18367M [10/25 21:55:38] d2.utils.events INFO: eta: 22:12:24 iter: 17239 total_loss: 2.342 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03681 loss_box_reg_sup: 0.3373 loss_rpn_cls_sup: 0.0333 loss_rpn_loc_sup: 0.3079 loss_cls_unsup: 0.2648 loss_box_reg_unsup: 0.487 loss_rpn_cls_unsup: 0.3253 loss_rpn_loc_unsup: 0.499 time: 5.8871 data_time: 0.8682 lr: 0.016 max_mem: 18367M [10/25 21:57:43] d2.utils.events INFO: eta: 22:10:16 iter: 17259 total_loss: 2.352 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04221 loss_box_reg_sup: 0.3652 loss_rpn_cls_sup: 0.03588 loss_rpn_loc_sup: 0.3218 loss_cls_unsup: 0.2771 loss_box_reg_unsup: 0.4728 loss_rpn_cls_unsup: 0.3385 loss_rpn_loc_unsup: 0.4702 time: 5.8875 data_time: 0.8331 lr: 0.016 max_mem: 18367M [10/25 21:59:57] d2.utils.events INFO: eta: 22:08:43 iter: 17279 total_loss: 2.333 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04038 loss_box_reg_sup: 0.3527 loss_rpn_cls_sup: 0.03128 loss_rpn_loc_sup: 0.2937 loss_cls_unsup: 0.2905 loss_box_reg_unsup: 0.4806 loss_rpn_cls_unsup: 0.3356 loss_rpn_loc_unsup: 0.445 time: 5.8885 data_time: 0.8000 lr: 0.016 max_mem: 18367M [10/25 22:02:10] d2.utils.events INFO: eta: 22:06:50 iter: 17299 total_loss: 2.317 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03945 loss_box_reg_sup: 0.3403 loss_rpn_cls_sup: 0.03436 loss_rpn_loc_sup: 0.2944 loss_cls_unsup: 0.2722 loss_box_reg_unsup: 0.4946 loss_rpn_cls_unsup: 0.3314 loss_rpn_loc_unsup: 0.4826 time: 5.8893 data_time: 0.8342 lr: 0.016 max_mem: 18367M [10/25 22:04:23] d2.utils.events INFO: eta: 22:04:58 iter: 17319 total_loss: 2.418 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04448 loss_box_reg_sup: 0.4119 loss_rpn_cls_sup: 0.03912 loss_rpn_loc_sup: 0.332 loss_cls_unsup: 0.2802 loss_box_reg_unsup: 0.4621 loss_rpn_cls_unsup: 0.3307 loss_rpn_loc_unsup: 0.4793 time: 5.8902 data_time: 0.7984 lr: 0.016 max_mem: 18367M [10/25 22:06:35] d2.utils.events INFO: eta: 22:02:52 iter: 17339 total_loss: 2.285 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03846 loss_box_reg_sup: 0.3529 loss_rpn_cls_sup: 0.03749 loss_rpn_loc_sup: 0.3133 loss_cls_unsup: 0.2577 loss_box_reg_unsup: 0.4449 loss_rpn_cls_unsup: 0.3293 loss_rpn_loc_unsup: 0.4863 time: 5.8911 data_time: 0.8689 lr: 0.016 max_mem: 18367M [10/25 22:08:59] d2.utils.events INFO: eta: 22:00:51 iter: 17359 total_loss: 2.284 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04121 loss_box_reg_sup: 0.3412 loss_rpn_cls_sup: 0.03468 loss_rpn_loc_sup: 0.3042 loss_cls_unsup: 0.2746 loss_box_reg_unsup: 0.476 loss_rpn_cls_unsup: 0.3382 loss_rpn_loc_unsup: 0.4583 time: 5.8925 data_time: 0.8441 lr: 0.016 max_mem: 18367M [10/25 22:11:15] d2.utils.events INFO: eta: 21:58:45 iter: 17379 total_loss: 2.334 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03773 loss_box_reg_sup: 0.3251 loss_rpn_cls_sup: 0.03304 loss_rpn_loc_sup: 0.306 loss_cls_unsup: 0.2813 loss_box_reg_unsup: 0.4829 loss_rpn_cls_unsup: 0.3505 loss_rpn_loc_unsup: 0.4449 time: 5.8936 data_time: 0.7966 lr: 0.016 max_mem: 18367M [10/25 22:13:38] d2.utils.events INFO: eta: 21:56:27 iter: 17399 total_loss: 2.325 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04159 loss_box_reg_sup: 0.3359 loss_rpn_cls_sup: 0.03467 loss_rpn_loc_sup: 0.3153 loss_cls_unsup: 0.2742 loss_box_reg_unsup: 0.464 loss_rpn_cls_unsup: 0.3275 loss_rpn_loc_unsup: 0.4845 time: 5.8950 data_time: 0.8095 lr: 0.016 max_mem: 18367M [10/25 22:15:47] d2.utils.events INFO: eta: 21:54:11 iter: 17419 total_loss: 2.31 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04131 loss_box_reg_sup: 0.3642 loss_rpn_cls_sup: 0.03503 loss_rpn_loc_sup: 0.3276 loss_cls_unsup: 0.2652 loss_box_reg_unsup: 0.4666 loss_rpn_cls_unsup: 0.3188 loss_rpn_loc_unsup: 0.4446 time: 5.8956 data_time: 0.8043 lr: 0.016 max_mem: 18367M [10/25 22:18:05] d2.utils.events INFO: eta: 21:51:31 iter: 17439 total_loss: 2.305 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04337 loss_box_reg_sup: 0.3664 loss_rpn_cls_sup: 0.03393 loss_rpn_loc_sup: 0.308 loss_cls_unsup: 0.2765 loss_box_reg_unsup: 0.4748 loss_rpn_cls_unsup: 0.3321 loss_rpn_loc_unsup: 0.4369 time: 5.8968 data_time: 0.8047 lr: 0.016 max_mem: 18367M [10/25 22:20:14] d2.utils.events INFO: eta: 21:50:04 iter: 17459 total_loss: 2.292 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03881 loss_box_reg_sup: 0.3576 loss_rpn_cls_sup: 0.03508 loss_rpn_loc_sup: 0.3101 loss_cls_unsup: 0.2839 loss_box_reg_unsup: 0.4813 loss_rpn_cls_unsup: 0.3307 loss_rpn_loc_unsup: 0.4402 time: 5.8975 data_time: 0.8028 lr: 0.016 max_mem: 18367M [10/25 22:22:43] d2.utils.events INFO: eta: 21:48:03 iter: 17479 total_loss: 2.338 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0391 loss_box_reg_sup: 0.3518 loss_rpn_cls_sup: 0.03623 loss_rpn_loc_sup: 0.3088 loss_cls_unsup: 0.2651 loss_box_reg_unsup: 0.4718 loss_rpn_cls_unsup: 0.3331 loss_rpn_loc_unsup: 0.4708 time: 5.8992 data_time: 0.8444 lr: 0.016 max_mem: 18367M [10/25 22:25:07] d2.utils.events INFO: eta: 21:46:00 iter: 17499 total_loss: 2.312 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0376 loss_box_reg_sup: 0.3346 loss_rpn_cls_sup: 0.03682 loss_rpn_loc_sup: 0.307 loss_cls_unsup: 0.2791 loss_box_reg_unsup: 0.4705 loss_rpn_cls_unsup: 0.3213 loss_rpn_loc_unsup: 0.4726 time: 5.9007 data_time: 0.8095 lr: 0.016 max_mem: 18367M [10/25 22:27:27] d2.utils.events INFO: eta: 21:43:55 iter: 17519 total_loss: 2.278 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03975 loss_box_reg_sup: 0.3689 loss_rpn_cls_sup: 0.03136 loss_rpn_loc_sup: 0.3164 loss_cls_unsup: 0.2829 loss_box_reg_unsup: 0.4727 loss_rpn_cls_unsup: 0.3219 loss_rpn_loc_unsup: 0.4907 time: 5.9020 data_time: 0.8433 lr: 0.016 max_mem: 18367M [10/25 22:29:45] d2.utils.events INFO: eta: 21:41:39 iter: 17539 total_loss: 2.296 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03612 loss_box_reg_sup: 0.3349 loss_rpn_cls_sup: 0.033 loss_rpn_loc_sup: 0.2989 loss_cls_unsup: 0.2826 loss_box_reg_unsup: 0.4826 loss_rpn_cls_unsup: 0.3472 loss_rpn_loc_unsup: 0.4037 time: 5.9031 data_time: 0.8234 lr: 0.016 max_mem: 18367M [10/25 22:31:50] d2.utils.events INFO: eta: 21:38:47 iter: 17559 total_loss: 2.344 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04157 loss_box_reg_sup: 0.3684 loss_rpn_cls_sup: 0.03685 loss_rpn_loc_sup: 0.3103 loss_cls_unsup: 0.2708 loss_box_reg_unsup: 0.4967 loss_rpn_cls_unsup: 0.333 loss_rpn_loc_unsup: 0.4965 time: 5.9035 data_time: 0.8111 lr: 0.016 max_mem: 18367M [10/25 22:34:02] d2.utils.events INFO: eta: 21:36:44 iter: 17579 total_loss: 2.323 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04277 loss_box_reg_sup: 0.3562 loss_rpn_cls_sup: 0.03908 loss_rpn_loc_sup: 0.3154 loss_cls_unsup: 0.2738 loss_box_reg_unsup: 0.4598 loss_rpn_cls_unsup: 0.3503 loss_rpn_loc_unsup: 0.5024 time: 5.9043 data_time: 0.8455 lr: 0.016 max_mem: 18367M [10/25 22:36:17] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 22:36:17] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 22:36:17] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 22:36:17] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 22:36:18] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:04:19 [10/25 22:36:23] d2.evaluation.evaluator INFO: Inference done 135/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0004 s/iter. Total: 0.0409 s/iter. ETA=0:03:29 [10/25 22:36:28] d2.evaluation.evaluator INFO: Inference done 262/5258. Dataloading: 0.0010 s/iter. Inference: 0.0388 s/iter. Eval: 0.0004 s/iter. Total: 0.0403 s/iter. ETA=0:03:21 [10/25 22:36:33] d2.evaluation.evaluator INFO: Inference done 392/5258. Dataloading: 0.0010 s/iter. Inference: 0.0383 s/iter. Eval: 0.0004 s/iter. Total: 0.0397 s/iter. ETA=0:03:13 [10/25 22:36:39] d2.evaluation.evaluator INFO: Inference done 521/5258. Dataloading: 0.0010 s/iter. Inference: 0.0381 s/iter. Eval: 0.0004 s/iter. Total: 0.0395 s/iter. ETA=0:03:07 [10/25 22:36:44] d2.evaluation.evaluator INFO: Inference done 651/5258. Dataloading: 0.0010 s/iter. Inference: 0.0379 s/iter. Eval: 0.0004 s/iter. Total: 0.0393 s/iter. ETA=0:03:01 [10/25 22:36:49] d2.evaluation.evaluator INFO: Inference done 781/5258. Dataloading: 0.0010 s/iter. Inference: 0.0378 s/iter. Eval: 0.0004 s/iter. Total: 0.0392 s/iter. ETA=0:02:55 [10/25 22:36:54] d2.evaluation.evaluator INFO: Inference done 904/5258. Dataloading: 0.0010 s/iter. Inference: 0.0380 s/iter. Eval: 0.0004 s/iter. Total: 0.0394 s/iter. ETA=0:02:51 [10/25 22:36:59] d2.evaluation.evaluator INFO: Inference done 1034/5258. Dataloading: 0.0010 s/iter. Inference: 0.0379 s/iter. Eval: 0.0004 s/iter. Total: 0.0393 s/iter. ETA=0:02:46 [10/25 22:37:04] d2.evaluation.evaluator INFO: Inference done 1155/5258. Dataloading: 0.0010 s/iter. Inference: 0.0381 s/iter. Eval: 0.0004 s/iter. Total: 0.0396 s/iter. ETA=0:02:42 [10/25 22:37:09] d2.evaluation.evaluator INFO: Inference done 1278/5258. Dataloading: 0.0010 s/iter. Inference: 0.0383 s/iter. Eval: 0.0004 s/iter. Total: 0.0397 s/iter. ETA=0:02:38 [10/25 22:37:14] d2.evaluation.evaluator INFO: Inference done 1403/5258. Dataloading: 0.0010 s/iter. Inference: 0.0383 s/iter. Eval: 0.0004 s/iter. Total: 0.0398 s/iter. ETA=0:02:33 [10/25 22:37:19] d2.evaluation.evaluator INFO: Inference done 1531/5258. Dataloading: 0.0010 s/iter. Inference: 0.0382 s/iter. Eval: 0.0004 s/iter. Total: 0.0397 s/iter. ETA=0:02:27 [10/25 22:37:24] d2.evaluation.evaluator INFO: Inference done 1659/5258. Dataloading: 0.0010 s/iter. Inference: 0.0382 s/iter. Eval: 0.0004 s/iter. Total: 0.0397 s/iter. ETA=0:02:22 [10/25 22:37:29] d2.evaluation.evaluator INFO: Inference done 1789/5258. Dataloading: 0.0010 s/iter. Inference: 0.0381 s/iter. Eval: 0.0004 s/iter. Total: 0.0396 s/iter. ETA=0:02:17 [10/25 22:37:34] d2.evaluation.evaluator INFO: Inference done 1918/5258. Dataloading: 0.0010 s/iter. Inference: 0.0381 s/iter. Eval: 0.0004 s/iter. Total: 0.0395 s/iter. ETA=0:02:12 [10/25 22:37:39] d2.evaluation.evaluator INFO: Inference done 2045/5258. Dataloading: 0.0010 s/iter. Inference: 0.0381 s/iter. Eval: 0.0004 s/iter. Total: 0.0395 s/iter. ETA=0:02:07 [10/25 22:37:44] d2.evaluation.evaluator INFO: Inference done 2171/5258. Dataloading: 0.0010 s/iter. Inference: 0.0381 s/iter. Eval: 0.0004 s/iter. Total: 0.0396 s/iter. ETA=0:02:02 [10/25 22:37:49] d2.evaluation.evaluator INFO: Inference done 2300/5258. Dataloading: 0.0010 s/iter. Inference: 0.0381 s/iter. Eval: 0.0004 s/iter. Total: 0.0395 s/iter. ETA=0:01:56 [10/25 22:37:54] d2.evaluation.evaluator INFO: Inference done 2419/5258. Dataloading: 0.0010 s/iter. Inference: 0.0382 s/iter. Eval: 0.0004 s/iter. Total: 0.0397 s/iter. ETA=0:01:52 [10/25 22:37:59] d2.evaluation.evaluator INFO: Inference done 2518/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0401 s/iter. ETA=0:01:49 [10/25 22:38:04] d2.evaluation.evaluator INFO: Inference done 2617/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:01:46 [10/25 22:38:09] d2.evaluation.evaluator INFO: Inference done 2718/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:01:43 [10/25 22:38:14] d2.evaluation.evaluator INFO: Inference done 2833/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0004 s/iter. Total: 0.0410 s/iter. ETA=0:01:39 [10/25 22:38:19] d2.evaluation.evaluator INFO: Inference done 2960/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0409 s/iter. ETA=0:01:34 [10/25 22:38:24] d2.evaluation.evaluator INFO: Inference done 3081/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0409 s/iter. ETA=0:01:29 [10/25 22:38:29] d2.evaluation.evaluator INFO: Inference done 3207/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0409 s/iter. ETA=0:01:23 [10/25 22:38:34] d2.evaluation.evaluator INFO: Inference done 3335/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:01:18 [10/25 22:38:39] d2.evaluation.evaluator INFO: Inference done 3461/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:01:13 [10/25 22:38:44] d2.evaluation.evaluator INFO: Inference done 3588/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:01:08 [10/25 22:38:49] d2.evaluation.evaluator INFO: Inference done 3715/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:01:02 [10/25 22:38:54] d2.evaluation.evaluator INFO: Inference done 3838/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:00:57 [10/25 22:38:59] d2.evaluation.evaluator INFO: Inference done 3958/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:00:52 [10/25 22:39:04] d2.evaluation.evaluator INFO: Inference done 4077/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:00:48 [10/25 22:39:09] d2.evaluation.evaluator INFO: Inference done 4204/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:00:42 [10/25 22:39:14] d2.evaluation.evaluator INFO: Inference done 4316/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:00:38 [10/25 22:39:19] d2.evaluation.evaluator INFO: Inference done 4429/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0409 s/iter. ETA=0:00:33 [10/25 22:39:24] d2.evaluation.evaluator INFO: Inference done 4554/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0409 s/iter. ETA=0:00:28 [10/25 22:39:29] d2.evaluation.evaluator INFO: Inference done 4659/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:00:24 [10/25 22:39:34] d2.evaluation.evaluator INFO: Inference done 4781/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:00:19 [10/25 22:39:39] d2.evaluation.evaluator INFO: Inference done 4903/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:00:14 [10/25 22:39:44] d2.evaluation.evaluator INFO: Inference done 5024/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:00:09 [10/25 22:39:49] d2.evaluation.evaluator INFO: Inference done 5140/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:00:04 [10/25 22:39:54] d2.evaluation.evaluator INFO: Total inference time: 0:03:35.858969 (0.041093 s / iter per device, on 1 devices) [10/25 22:39:54] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:27 (0.039589 s / iter per device, on 1 devices) [10/25 22:39:54] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 22:40:55] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 22:40:55] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 22:40:55] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 22:40:55] d2.evaluation.testing INFO: copypaste: 5.7545,12.1111,5.2926 [10/25 22:40:57] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 22:40:57] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 22:40:57] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 22:40:57] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 22:40:58] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:04:19 [10/25 22:41:03] d2.evaluation.evaluator INFO: Inference done 111/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:04:17 [10/25 22:41:08] d2.evaluation.evaluator INFO: Inference done 213/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:04:10 [10/25 22:41:13] d2.evaluation.evaluator INFO: Inference done 313/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:04:06 [10/25 22:41:18] d2.evaluation.evaluator INFO: Inference done 413/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:04:02 [10/25 22:41:23] d2.evaluation.evaluator INFO: Inference done 510/5258. Dataloading: 0.0010 s/iter. Inference: 0.0488 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:03:58 [10/25 22:41:28] d2.evaluation.evaluator INFO: Inference done 613/5258. Dataloading: 0.0010 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:03:52 [10/25 22:41:33] d2.evaluation.evaluator INFO: Inference done 714/5258. Dataloading: 0.0010 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:03:47 [10/25 22:41:38] d2.evaluation.evaluator INFO: Inference done 817/5258. Dataloading: 0.0010 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:03:41 [10/25 22:41:43] d2.evaluation.evaluator INFO: Inference done 917/5258. Dataloading: 0.0010 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:03:36 [10/25 22:41:48] d2.evaluation.evaluator INFO: Inference done 1021/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:30 [10/25 22:41:53] d2.evaluation.evaluator INFO: Inference done 1125/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:25 [10/25 22:41:58] d2.evaluation.evaluator INFO: Inference done 1226/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:20 [10/25 22:42:03] d2.evaluation.evaluator INFO: Inference done 1327/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:15 [10/25 22:42:08] d2.evaluation.evaluator INFO: Inference done 1429/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:10 [10/25 22:42:13] d2.evaluation.evaluator INFO: Inference done 1531/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:04 [10/25 22:42:18] d2.evaluation.evaluator INFO: Inference done 1634/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:59 [10/25 22:42:23] d2.evaluation.evaluator INFO: Inference done 1737/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:54 [10/25 22:42:28] d2.evaluation.evaluator INFO: Inference done 1840/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:49 [10/25 22:42:33] d2.evaluation.evaluator INFO: Inference done 1943/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:43 [10/25 22:42:38] d2.evaluation.evaluator INFO: Inference done 2045/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:38 [10/25 22:42:43] d2.evaluation.evaluator INFO: Inference done 2148/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:33 [10/25 22:42:48] d2.evaluation.evaluator INFO: Inference done 2251/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:28 [10/25 22:42:53] d2.evaluation.evaluator INFO: Inference done 2354/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:23 [10/25 22:42:58] d2.evaluation.evaluator INFO: Inference done 2456/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:18 [10/25 22:43:03] d2.evaluation.evaluator INFO: Inference done 2561/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:12 [10/25 22:43:09] d2.evaluation.evaluator INFO: Inference done 2662/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:08 [10/25 22:43:14] d2.evaluation.evaluator INFO: Inference done 2760/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:03 [10/25 22:43:19] d2.evaluation.evaluator INFO: Inference done 2859/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:58 [10/25 22:43:24] d2.evaluation.evaluator INFO: Inference done 2961/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:53 [10/25 22:43:29] d2.evaluation.evaluator INFO: Inference done 3063/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:48 [10/25 22:43:34] d2.evaluation.evaluator INFO: Inference done 3165/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:43 [10/25 22:43:39] d2.evaluation.evaluator INFO: Inference done 3266/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:38 [10/25 22:43:44] d2.evaluation.evaluator INFO: Inference done 3365/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:33 [10/25 22:43:49] d2.evaluation.evaluator INFO: Inference done 3464/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:28 [10/25 22:43:54] d2.evaluation.evaluator INFO: Inference done 3567/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:23 [10/25 22:43:59] d2.evaluation.evaluator INFO: Inference done 3669/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:18 [10/25 22:44:04] d2.evaluation.evaluator INFO: Inference done 3773/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:13 [10/25 22:44:09] d2.evaluation.evaluator INFO: Inference done 3875/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:08 [10/25 22:44:14] d2.evaluation.evaluator INFO: Inference done 3976/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:03 [10/25 22:44:19] d2.evaluation.evaluator INFO: Inference done 4078/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:58 [10/25 22:44:24] d2.evaluation.evaluator INFO: Inference done 4181/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:53 [10/25 22:44:29] d2.evaluation.evaluator INFO: Inference done 4283/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:48 [10/25 22:44:34] d2.evaluation.evaluator INFO: Inference done 4385/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:43 [10/25 22:44:39] d2.evaluation.evaluator INFO: Inference done 4483/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:38 [10/25 22:44:44] d2.evaluation.evaluator INFO: Inference done 4584/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:33 [10/25 22:44:49] d2.evaluation.evaluator INFO: Inference done 4684/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:28 [10/25 22:44:54] d2.evaluation.evaluator INFO: Inference done 4784/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:23 [10/25 22:44:59] d2.evaluation.evaluator INFO: Inference done 4885/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:18 [10/25 22:45:04] d2.evaluation.evaluator INFO: Inference done 4986/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:13 [10/25 22:45:09] d2.evaluation.evaluator INFO: Inference done 5087/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:08 [10/25 22:45:14] d2.evaluation.evaluator INFO: Inference done 5190/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:03 [10/25 22:45:18] d2.evaluation.evaluator INFO: Total inference time: 0:04:20.107807 (0.049516 s / iter per device, on 1 devices) [10/25 22:45:18] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:12 (0.047998 s / iter per device, on 1 devices) [10/25 22:45:18] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 22:46:26] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 22:46:26] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 22:46:26] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 22:46:26] d2.evaluation.testing INFO: copypaste: 6.1677,12.9710,5.6372 [10/25 22:46:26] d2.utils.events INFO: eta: 21:34:56 iter: 17599 total_loss: 2.23 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03791 loss_box_reg_sup: 0.3683 loss_rpn_cls_sup: 0.03546 loss_rpn_loc_sup: 0.3004 loss_cls_unsup: 0.2648 loss_box_reg_unsup: 0.4764 loss_rpn_cls_unsup: 0.3312 loss_rpn_loc_unsup: 0.4395 time: 5.9049 data_time: 0.8082 lr: 0.016 max_mem: 18367M [10/25 22:48:43] d2.utils.events INFO: eta: 21:33:21 iter: 17619 total_loss: 2.329 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04111 loss_box_reg_sup: 0.3522 loss_rpn_cls_sup: 0.03556 loss_rpn_loc_sup: 0.3015 loss_cls_unsup: 0.2795 loss_box_reg_unsup: 0.4597 loss_rpn_cls_unsup: 0.329 loss_rpn_loc_unsup: 0.4572 time: 5.9059 data_time: 0.8364 lr: 0.016 max_mem: 18367M [10/25 22:50:55] d2.utils.events INFO: eta: 21:31:32 iter: 17639 total_loss: 2.335 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03682 loss_box_reg_sup: 0.3524 loss_rpn_cls_sup: 0.02955 loss_rpn_loc_sup: 0.3004 loss_cls_unsup: 0.263 loss_box_reg_unsup: 0.4587 loss_rpn_cls_unsup: 0.3296 loss_rpn_loc_unsup: 0.4955 time: 5.9067 data_time: 0.8395 lr: 0.016 max_mem: 18367M [10/25 22:53:09] d2.utils.events INFO: eta: 21:29:48 iter: 17659 total_loss: 2.325 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03965 loss_box_reg_sup: 0.3642 loss_rpn_cls_sup: 0.03516 loss_rpn_loc_sup: 0.3253 loss_cls_unsup: 0.2705 loss_box_reg_unsup: 0.4643 loss_rpn_cls_unsup: 0.3396 loss_rpn_loc_unsup: 0.5233 time: 5.9076 data_time: 0.8372 lr: 0.016 max_mem: 18367M [10/25 22:55:21] d2.utils.events INFO: eta: 21:27:47 iter: 17679 total_loss: 2.246 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03732 loss_box_reg_sup: 0.3564 loss_rpn_cls_sup: 0.03389 loss_rpn_loc_sup: 0.2917 loss_cls_unsup: 0.2665 loss_box_reg_unsup: 0.4742 loss_rpn_cls_unsup: 0.329 loss_rpn_loc_unsup: 0.4735 time: 5.9084 data_time: 0.8258 lr: 0.016 max_mem: 18367M [10/25 22:57:32] d2.utils.events INFO: eta: 21:25:30 iter: 17699 total_loss: 2.299 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04334 loss_box_reg_sup: 0.3726 loss_rpn_cls_sup: 0.0335 loss_rpn_loc_sup: 0.3078 loss_cls_unsup: 0.2613 loss_box_reg_unsup: 0.4763 loss_rpn_cls_unsup: 0.3386 loss_rpn_loc_unsup: 0.5021 time: 5.9091 data_time: 0.8328 lr: 0.016 max_mem: 18367M [10/25 22:59:45] d2.utils.events INFO: eta: 21:23:34 iter: 17719 total_loss: 2.245 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03429 loss_box_reg_sup: 0.3322 loss_rpn_cls_sup: 0.03256 loss_rpn_loc_sup: 0.3049 loss_cls_unsup: 0.2679 loss_box_reg_unsup: 0.4753 loss_rpn_cls_unsup: 0.3352 loss_rpn_loc_unsup: 0.4691 time: 5.9100 data_time: 0.8393 lr: 0.016 max_mem: 18367M [10/25 23:01:53] d2.utils.events INFO: eta: 21:21:52 iter: 17739 total_loss: 2.351 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0427 loss_box_reg_sup: 0.353 loss_rpn_cls_sup: 0.03477 loss_rpn_loc_sup: 0.3062 loss_cls_unsup: 0.2639 loss_box_reg_unsup: 0.4533 loss_rpn_cls_unsup: 0.3449 loss_rpn_loc_unsup: 0.5147 time: 5.9105 data_time: 0.8460 lr: 0.016 max_mem: 18367M [10/25 23:03:57] d2.utils.events INFO: eta: 21:19:25 iter: 17759 total_loss: 2.297 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03974 loss_box_reg_sup: 0.3334 loss_rpn_cls_sup: 0.03388 loss_rpn_loc_sup: 0.3048 loss_cls_unsup: 0.2803 loss_box_reg_unsup: 0.4674 loss_rpn_cls_unsup: 0.3393 loss_rpn_loc_unsup: 0.4722 time: 5.9109 data_time: 0.8024 lr: 0.016 max_mem: 18367M [10/25 23:06:22] d2.utils.events INFO: eta: 21:17:19 iter: 17779 total_loss: 2.335 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04236 loss_box_reg_sup: 0.3596 loss_rpn_cls_sup: 0.03438 loss_rpn_loc_sup: 0.3256 loss_cls_unsup: 0.2778 loss_box_reg_unsup: 0.4676 loss_rpn_cls_unsup: 0.3335 loss_rpn_loc_unsup: 0.489 time: 5.9123 data_time: 0.8415 lr: 0.016 max_mem: 18367M [10/25 23:08:34] d2.utils.events INFO: eta: 21:15:46 iter: 17799 total_loss: 2.261 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0381 loss_box_reg_sup: 0.3312 loss_rpn_cls_sup: 0.03543 loss_rpn_loc_sup: 0.3045 loss_cls_unsup: 0.2825 loss_box_reg_unsup: 0.4673 loss_rpn_cls_unsup: 0.3325 loss_rpn_loc_unsup: 0.4328 time: 5.9131 data_time: 0.7958 lr: 0.016 max_mem: 18367M [10/25 23:10:40] d2.utils.events INFO: eta: 21:13:18 iter: 17819 total_loss: 2.363 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03551 loss_box_reg_sup: 0.3707 loss_rpn_cls_sup: 0.03385 loss_rpn_loc_sup: 0.313 loss_cls_unsup: 0.2682 loss_box_reg_unsup: 0.4641 loss_rpn_cls_unsup: 0.3306 loss_rpn_loc_unsup: 0.4807 time: 5.9136 data_time: 0.8534 lr: 0.016 max_mem: 18367M [10/25 23:12:52] d2.utils.events INFO: eta: 21:11:35 iter: 17839 total_loss: 2.31 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04111 loss_box_reg_sup: 0.3627 loss_rpn_cls_sup: 0.03556 loss_rpn_loc_sup: 0.3205 loss_cls_unsup: 0.2695 loss_box_reg_unsup: 0.4708 loss_rpn_cls_unsup: 0.3367 loss_rpn_loc_unsup: 0.4636 time: 5.9143 data_time: 0.8833 lr: 0.016 max_mem: 18367M [10/25 23:15:01] d2.utils.events INFO: eta: 21:09:37 iter: 17859 total_loss: 2.309 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04445 loss_box_reg_sup: 0.3893 loss_rpn_cls_sup: 0.0369 loss_rpn_loc_sup: 0.3282 loss_cls_unsup: 0.279 loss_box_reg_unsup: 0.4586 loss_rpn_cls_unsup: 0.3355 loss_rpn_loc_unsup: 0.4856 time: 5.9149 data_time: 0.8184 lr: 0.016 max_mem: 18367M [10/25 23:17:07] d2.utils.events INFO: eta: 21:07:24 iter: 17879 total_loss: 2.349 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04063 loss_box_reg_sup: 0.3516 loss_rpn_cls_sup: 0.03555 loss_rpn_loc_sup: 0.288 loss_cls_unsup: 0.2792 loss_box_reg_unsup: 0.4605 loss_rpn_cls_unsup: 0.3466 loss_rpn_loc_unsup: 0.5217 time: 5.9153 data_time: 0.8197 lr: 0.016 max_mem: 18367M [10/25 23:19:33] d2.utils.events INFO: eta: 21:05:06 iter: 17899 total_loss: 2.263 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03865 loss_box_reg_sup: 0.3499 loss_rpn_cls_sup: 0.03691 loss_rpn_loc_sup: 0.3055 loss_cls_unsup: 0.2763 loss_box_reg_unsup: 0.4747 loss_rpn_cls_unsup: 0.3462 loss_rpn_loc_unsup: 0.4617 time: 5.9169 data_time: 0.7995 lr: 0.016 max_mem: 18367M [10/25 23:21:39] d2.utils.events INFO: eta: 21:02:37 iter: 17919 total_loss: 2.29 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04092 loss_box_reg_sup: 0.3488 loss_rpn_cls_sup: 0.03429 loss_rpn_loc_sup: 0.3104 loss_cls_unsup: 0.2646 loss_box_reg_unsup: 0.4478 loss_rpn_cls_unsup: 0.3317 loss_rpn_loc_unsup: 0.4737 time: 5.9173 data_time: 0.8680 lr: 0.016 max_mem: 18367M [10/25 23:23:47] d2.utils.events INFO: eta: 21:00:24 iter: 17939 total_loss: 2.448 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04192 loss_box_reg_sup: 0.3851 loss_rpn_cls_sup: 0.03738 loss_rpn_loc_sup: 0.3152 loss_cls_unsup: 0.29 loss_box_reg_unsup: 0.4921 loss_rpn_cls_unsup: 0.3566 loss_rpn_loc_unsup: 0.4957 time: 5.9178 data_time: 0.8314 lr: 0.016 max_mem: 18367M [10/25 23:26:10] d2.utils.events INFO: eta: 20:58:42 iter: 17959 total_loss: 2.42 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04053 loss_box_reg_sup: 0.3603 loss_rpn_cls_sup: 0.03594 loss_rpn_loc_sup: 0.3216 loss_cls_unsup: 0.266 loss_box_reg_unsup: 0.4855 loss_rpn_cls_unsup: 0.342 loss_rpn_loc_unsup: 0.5389 time: 5.9192 data_time: 0.8928 lr: 0.016 max_mem: 18367M [10/25 23:28:28] d2.utils.events INFO: eta: 20:56:36 iter: 17979 total_loss: 2.379 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0405 loss_box_reg_sup: 0.3728 loss_rpn_cls_sup: 0.03772 loss_rpn_loc_sup: 0.3379 loss_cls_unsup: 0.2819 loss_box_reg_unsup: 0.509 loss_rpn_cls_unsup: 0.3203 loss_rpn_loc_unsup: 0.5019 time: 5.9203 data_time: 0.8164 lr: 0.016 max_mem: 18367M [10/25 23:30:54] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 23:30:54] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 23:30:54] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 23:30:54] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 23:30:55] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0366 s/iter. Eval: 0.0005 s/iter. Total: 0.0380 s/iter. ETA=0:03:19 [10/25 23:31:00] d2.evaluation.evaluator INFO: Inference done 138/5258. Dataloading: 0.0011 s/iter. Inference: 0.0379 s/iter. Eval: 0.0004 s/iter. Total: 0.0394 s/iter. ETA=0:03:21 [10/25 23:31:05] d2.evaluation.evaluator INFO: Inference done 263/5258. Dataloading: 0.0011 s/iter. Inference: 0.0382 s/iter. Eval: 0.0004 s/iter. Total: 0.0398 s/iter. ETA=0:03:18 [10/25 23:31:10] d2.evaluation.evaluator INFO: Inference done 391/5258. Dataloading: 0.0011 s/iter. Inference: 0.0380 s/iter. Eval: 0.0004 s/iter. Total: 0.0396 s/iter. ETA=0:03:12 [10/25 23:31:15] d2.evaluation.evaluator INFO: Inference done 519/5258. Dataloading: 0.0011 s/iter. Inference: 0.0380 s/iter. Eval: 0.0004 s/iter. Total: 0.0395 s/iter. ETA=0:03:07 [10/25 23:31:20] d2.evaluation.evaluator INFO: Inference done 647/5258. Dataloading: 0.0011 s/iter. Inference: 0.0379 s/iter. Eval: 0.0004 s/iter. Total: 0.0395 s/iter. ETA=0:03:01 [10/25 23:31:25] d2.evaluation.evaluator INFO: Inference done 766/5258. Dataloading: 0.0010 s/iter. Inference: 0.0383 s/iter. Eval: 0.0004 s/iter. Total: 0.0399 s/iter. ETA=0:02:59 [10/25 23:31:30] d2.evaluation.evaluator INFO: Inference done 888/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0401 s/iter. ETA=0:02:55 [10/25 23:31:35] d2.evaluation.evaluator INFO: Inference done 1015/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0400 s/iter. ETA=0:02:49 [10/25 23:31:40] d2.evaluation.evaluator INFO: Inference done 1140/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0400 s/iter. ETA=0:02:44 [10/25 23:31:45] d2.evaluation.evaluator INFO: Inference done 1259/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0004 s/iter. Total: 0.0402 s/iter. ETA=0:02:40 [10/25 23:31:50] d2.evaluation.evaluator INFO: Inference done 1390/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0400 s/iter. ETA=0:02:34 [10/25 23:31:55] d2.evaluation.evaluator INFO: Inference done 1519/5258. Dataloading: 0.0010 s/iter. Inference: 0.0384 s/iter. Eval: 0.0004 s/iter. Total: 0.0399 s/iter. ETA=0:02:29 [10/25 23:32:00] d2.evaluation.evaluator INFO: Inference done 1649/5258. Dataloading: 0.0010 s/iter. Inference: 0.0383 s/iter. Eval: 0.0004 s/iter. Total: 0.0398 s/iter. ETA=0:02:23 [10/25 23:32:05] d2.evaluation.evaluator INFO: Inference done 1775/5258. Dataloading: 0.0010 s/iter. Inference: 0.0383 s/iter. Eval: 0.0004 s/iter. Total: 0.0398 s/iter. ETA=0:02:18 [10/25 23:32:10] d2.evaluation.evaluator INFO: Inference done 1904/5258. Dataloading: 0.0010 s/iter. Inference: 0.0383 s/iter. Eval: 0.0004 s/iter. Total: 0.0398 s/iter. ETA=0:02:13 [10/25 23:32:15] d2.evaluation.evaluator INFO: Inference done 2031/5258. Dataloading: 0.0010 s/iter. Inference: 0.0383 s/iter. Eval: 0.0004 s/iter. Total: 0.0398 s/iter. ETA=0:02:08 [10/25 23:32:20] d2.evaluation.evaluator INFO: Inference done 2156/5258. Dataloading: 0.0010 s/iter. Inference: 0.0383 s/iter. Eval: 0.0004 s/iter. Total: 0.0398 s/iter. ETA=0:02:03 [10/25 23:32:25] d2.evaluation.evaluator INFO: Inference done 2286/5258. Dataloading: 0.0010 s/iter. Inference: 0.0382 s/iter. Eval: 0.0004 s/iter. Total: 0.0397 s/iter. ETA=0:01:58 [10/25 23:32:30] d2.evaluation.evaluator INFO: Inference done 2413/5258. Dataloading: 0.0010 s/iter. Inference: 0.0382 s/iter. Eval: 0.0004 s/iter. Total: 0.0397 s/iter. ETA=0:01:52 [10/25 23:32:35] d2.evaluation.evaluator INFO: Inference done 2527/5258. Dataloading: 0.0010 s/iter. Inference: 0.0384 s/iter. Eval: 0.0004 s/iter. Total: 0.0399 s/iter. ETA=0:01:48 [10/25 23:32:40] d2.evaluation.evaluator INFO: Inference done 2655/5258. Dataloading: 0.0010 s/iter. Inference: 0.0384 s/iter. Eval: 0.0004 s/iter. Total: 0.0399 s/iter. ETA=0:01:43 [10/25 23:32:45] d2.evaluation.evaluator INFO: Inference done 2777/5258. Dataloading: 0.0010 s/iter. Inference: 0.0384 s/iter. Eval: 0.0004 s/iter. Total: 0.0399 s/iter. ETA=0:01:39 [10/25 23:32:50] d2.evaluation.evaluator INFO: Inference done 2887/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0004 s/iter. Total: 0.0401 s/iter. ETA=0:01:35 [10/25 23:32:56] d2.evaluation.evaluator INFO: Inference done 3006/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0004 s/iter. Total: 0.0402 s/iter. ETA=0:01:30 [10/25 23:33:01] d2.evaluation.evaluator INFO: Inference done 3136/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0004 s/iter. Total: 0.0402 s/iter. ETA=0:01:25 [10/25 23:33:06] d2.evaluation.evaluator INFO: Inference done 3264/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0401 s/iter. ETA=0:01:20 [10/25 23:33:11] d2.evaluation.evaluator INFO: Inference done 3390/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0401 s/iter. ETA=0:01:14 [10/25 23:33:16] d2.evaluation.evaluator INFO: Inference done 3509/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0004 s/iter. Total: 0.0402 s/iter. ETA=0:01:10 [10/25 23:33:21] d2.evaluation.evaluator INFO: Inference done 3631/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0004 s/iter. Total: 0.0402 s/iter. ETA=0:01:05 [10/25 23:33:26] d2.evaluation.evaluator INFO: Inference done 3761/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0004 s/iter. Total: 0.0402 s/iter. ETA=0:01:00 [10/25 23:33:31] d2.evaluation.evaluator INFO: Inference done 3889/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0401 s/iter. ETA=0:00:54 [10/25 23:33:36] d2.evaluation.evaluator INFO: Inference done 4014/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0401 s/iter. ETA=0:00:49 [10/25 23:33:41] d2.evaluation.evaluator INFO: Inference done 4139/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0401 s/iter. ETA=0:00:44 [10/25 23:33:46] d2.evaluation.evaluator INFO: Inference done 4265/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0401 s/iter. ETA=0:00:39 [10/25 23:33:51] d2.evaluation.evaluator INFO: Inference done 4387/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0004 s/iter. Total: 0.0402 s/iter. ETA=0:00:34 [10/25 23:33:56] d2.evaluation.evaluator INFO: Inference done 4499/5258. Dataloading: 0.0010 s/iter. Inference: 0.0388 s/iter. Eval: 0.0004 s/iter. Total: 0.0403 s/iter. ETA=0:00:30 [10/25 23:34:01] d2.evaluation.evaluator INFO: Inference done 4617/5258. Dataloading: 0.0010 s/iter. Inference: 0.0388 s/iter. Eval: 0.0004 s/iter. Total: 0.0403 s/iter. ETA=0:00:25 [10/25 23:34:06] d2.evaluation.evaluator INFO: Inference done 4741/5258. Dataloading: 0.0010 s/iter. Inference: 0.0388 s/iter. Eval: 0.0004 s/iter. Total: 0.0403 s/iter. ETA=0:00:20 [10/25 23:34:11] d2.evaluation.evaluator INFO: Inference done 4858/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:00:16 [10/25 23:34:16] d2.evaluation.evaluator INFO: Inference done 4976/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:00:11 [10/25 23:34:21] d2.evaluation.evaluator INFO: Inference done 5100/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:00:06 [10/25 23:34:26] d2.evaluation.evaluator INFO: Inference done 5218/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:00:01 [10/25 23:34:27] d2.evaluation.evaluator INFO: Total inference time: 0:03:32.615571 (0.040475 s / iter per device, on 1 devices) [10/25 23:34:27] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:24 (0.038970 s / iter per device, on 1 devices) [10/25 23:34:27] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 23:35:38] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 23:35:38] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 23:35:38] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 23:35:38] d2.evaluation.testing INFO: copypaste: 5.0456,10.9508,4.4679 [10/25 23:35:39] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/25 23:35:39] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/25 23:35:39] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/25 23:35:39] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/25 23:35:41] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:04:18 [10/25 23:35:46] d2.evaluation.evaluator INFO: Inference done 113/5258. Dataloading: 0.0011 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:04:13 [10/25 23:35:51] d2.evaluation.evaluator INFO: Inference done 215/5258. Dataloading: 0.0011 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:04:08 [10/25 23:35:56] d2.evaluation.evaluator INFO: Inference done 318/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:04:02 [10/25 23:36:01] d2.evaluation.evaluator INFO: Inference done 421/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:03:57 [10/25 23:36:06] d2.evaluation.evaluator INFO: Inference done 524/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0490 s/iter. ETA=0:03:52 [10/25 23:36:11] d2.evaluation.evaluator INFO: Inference done 625/5258. 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ETA=0:01:38 [10/25 23:38:26] d2.evaluation.evaluator INFO: Inference done 3361/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:33 [10/25 23:38:31] d2.evaluation.evaluator INFO: Inference done 3461/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:28 [10/25 23:38:36] d2.evaluation.evaluator INFO: Inference done 3561/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:24 [10/25 23:38:41] d2.evaluation.evaluator INFO: Inference done 3664/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:18 [10/25 23:38:46] d2.evaluation.evaluator INFO: Inference done 3764/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:13 [10/25 23:38:51] d2.evaluation.evaluator INFO: Inference done 3864/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:09 [10/25 23:38:56] d2.evaluation.evaluator INFO: Inference done 3966/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:04 [10/25 23:39:02] d2.evaluation.evaluator INFO: Inference done 4067/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:59 [10/25 23:39:07] d2.evaluation.evaluator INFO: Inference done 4169/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:53 [10/25 23:39:12] d2.evaluation.evaluator INFO: Inference done 4270/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:48 [10/25 23:39:17] d2.evaluation.evaluator INFO: Inference done 4371/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:43 [10/25 23:39:22] d2.evaluation.evaluator INFO: Inference done 4473/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:38 [10/25 23:39:27] d2.evaluation.evaluator INFO: Inference done 4576/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:33 [10/25 23:39:32] d2.evaluation.evaluator INFO: Inference done 4676/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:28 [10/25 23:39:37] d2.evaluation.evaluator INFO: Inference done 4776/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:23 [10/25 23:39:42] d2.evaluation.evaluator INFO: Inference done 4876/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:18 [10/25 23:39:47] d2.evaluation.evaluator INFO: Inference done 4978/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:13 [10/25 23:39:52] d2.evaluation.evaluator INFO: Inference done 5080/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:08 [10/25 23:39:57] d2.evaluation.evaluator INFO: Inference done 5179/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:03 [10/25 23:40:01] d2.evaluation.evaluator INFO: Total inference time: 0:04:20.479999 (0.049587 s / iter per device, on 1 devices) [10/25 23:40:01] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:12 (0.048038 s / iter per device, on 1 devices) [10/25 23:40:01] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/25 23:41:10] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/25 23:41:10] d2.evaluation.testing INFO: copypaste: Task: bbox [10/25 23:41:10] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/25 23:41:10] d2.evaluation.testing INFO: copypaste: 6.1349,12.8915,5.6134 [10/25 23:41:10] d2.utils.events INFO: eta: 20:54:31 iter: 17999 total_loss: 2.38 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03877 loss_box_reg_sup: 0.3491 loss_rpn_cls_sup: 0.036 loss_rpn_loc_sup: 0.3089 loss_cls_unsup: 0.2707 loss_box_reg_unsup: 0.4831 loss_rpn_cls_unsup: 0.3535 loss_rpn_loc_unsup: 0.5311 time: 5.9215 data_time: 0.8384 lr: 0.016 max_mem: 18367M [10/25 23:43:41] d2.utils.events INFO: eta: 20:52:50 iter: 18019 total_loss: 2.359 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03537 loss_box_reg_sup: 0.3176 loss_rpn_cls_sup: 0.03573 loss_rpn_loc_sup: 0.3086 loss_cls_unsup: 0.2682 loss_box_reg_unsup: 0.5041 loss_rpn_cls_unsup: 0.3373 loss_rpn_loc_unsup: 0.5216 time: 5.9233 data_time: 0.8805 lr: 0.016 max_mem: 18367M [10/25 23:45:48] d2.utils.events INFO: eta: 20:50:48 iter: 18039 total_loss: 2.374 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03893 loss_box_reg_sup: 0.3403 loss_rpn_cls_sup: 0.03351 loss_rpn_loc_sup: 0.3276 loss_cls_unsup: 0.2747 loss_box_reg_unsup: 0.4647 loss_rpn_cls_unsup: 0.3497 loss_rpn_loc_unsup: 0.5158 time: 5.9237 data_time: 0.8299 lr: 0.016 max_mem: 18367M [10/25 23:47:55] d2.utils.events INFO: eta: 20:48:58 iter: 18059 total_loss: 2.344 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0366 loss_box_reg_sup: 0.33 loss_rpn_cls_sup: 0.03293 loss_rpn_loc_sup: 0.2925 loss_cls_unsup: 0.2831 loss_box_reg_unsup: 0.4973 loss_rpn_cls_unsup: 0.3431 loss_rpn_loc_unsup: 0.4836 time: 5.9242 data_time: 0.8009 lr: 0.016 max_mem: 18367M [10/25 23:50:02] d2.utils.events INFO: eta: 20:46:45 iter: 18079 total_loss: 2.339 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04007 loss_box_reg_sup: 0.3265 loss_rpn_cls_sup: 0.03378 loss_rpn_loc_sup: 0.2841 loss_cls_unsup: 0.2743 loss_box_reg_unsup: 0.4838 loss_rpn_cls_unsup: 0.3292 loss_rpn_loc_unsup: 0.5097 time: 5.9247 data_time: 0.8142 lr: 0.016 max_mem: 18367M [10/25 23:52:13] d2.utils.events INFO: eta: 20:44:59 iter: 18099 total_loss: 2.441 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04072 loss_box_reg_sup: 0.3709 loss_rpn_cls_sup: 0.03713 loss_rpn_loc_sup: 0.305 loss_cls_unsup: 0.28 loss_box_reg_unsup: 0.4906 loss_rpn_cls_unsup: 0.3589 loss_rpn_loc_unsup: 0.5214 time: 5.9254 data_time: 0.8078 lr: 0.016 max_mem: 18367M [10/25 23:54:24] d2.utils.events INFO: eta: 20:42:26 iter: 18119 total_loss: 2.301 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03568 loss_box_reg_sup: 0.3348 loss_rpn_cls_sup: 0.03279 loss_rpn_loc_sup: 0.2888 loss_cls_unsup: 0.2642 loss_box_reg_unsup: 0.4806 loss_rpn_cls_unsup: 0.3557 loss_rpn_loc_unsup: 0.5173 time: 5.9261 data_time: 0.8197 lr: 0.016 max_mem: 18367M [10/25 23:56:38] d2.utils.events INFO: eta: 20:40:00 iter: 18139 total_loss: 2.367 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04525 loss_box_reg_sup: 0.3943 loss_rpn_cls_sup: 0.03754 loss_rpn_loc_sup: 0.3304 loss_cls_unsup: 0.2805 loss_box_reg_unsup: 0.4885 loss_rpn_cls_unsup: 0.3511 loss_rpn_loc_unsup: 0.4709 time: 5.9270 data_time: 0.7930 lr: 0.016 max_mem: 18367M [10/25 23:58:51] d2.utils.events INFO: eta: 20:37:35 iter: 18159 total_loss: 2.331 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04058 loss_box_reg_sup: 0.3869 loss_rpn_cls_sup: 0.03593 loss_rpn_loc_sup: 0.3098 loss_cls_unsup: 0.273 loss_box_reg_unsup: 0.5066 loss_rpn_cls_unsup: 0.3248 loss_rpn_loc_unsup: 0.4625 time: 5.9277 data_time: 0.8326 lr: 0.016 max_mem: 18367M [10/26 00:01:09] d2.utils.events INFO: eta: 20:35:15 iter: 18179 total_loss: 2.357 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04321 loss_box_reg_sup: 0.3571 loss_rpn_cls_sup: 0.03773 loss_rpn_loc_sup: 0.3015 loss_cls_unsup: 0.2635 loss_box_reg_unsup: 0.4851 loss_rpn_cls_unsup: 0.3398 loss_rpn_loc_unsup: 0.5003 time: 5.9288 data_time: 0.8074 lr: 0.016 max_mem: 18367M [10/26 00:03:36] d2.utils.events INFO: eta: 20:33:25 iter: 18199 total_loss: 2.352 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04546 loss_box_reg_sup: 0.3594 loss_rpn_cls_sup: 0.03584 loss_rpn_loc_sup: 0.3278 loss_cls_unsup: 0.274 loss_box_reg_unsup: 0.4777 loss_rpn_cls_unsup: 0.3576 loss_rpn_loc_unsup: 0.4794 time: 5.9304 data_time: 0.8746 lr: 0.016 max_mem: 18367M [10/26 00:05:40] d2.utils.events INFO: eta: 20:30:52 iter: 18219 total_loss: 2.338 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04417 loss_box_reg_sup: 0.3724 loss_rpn_cls_sup: 0.03797 loss_rpn_loc_sup: 0.3136 loss_cls_unsup: 0.2795 loss_box_reg_unsup: 0.4796 loss_rpn_cls_unsup: 0.3259 loss_rpn_loc_unsup: 0.4639 time: 5.9306 data_time: 0.8156 lr: 0.016 max_mem: 18367M [10/26 00:08:02] d2.utils.events INFO: eta: 20:28:27 iter: 18239 total_loss: 2.397 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04315 loss_box_reg_sup: 0.3678 loss_rpn_cls_sup: 0.0361 loss_rpn_loc_sup: 0.3209 loss_cls_unsup: 0.265 loss_box_reg_unsup: 0.4944 loss_rpn_cls_unsup: 0.3445 loss_rpn_loc_unsup: 0.507 time: 5.9319 data_time: 0.8366 lr: 0.016 max_mem: 18367M [10/26 00:10:17] d2.utils.events INFO: eta: 20:26:41 iter: 18259 total_loss: 2.349 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04058 loss_box_reg_sup: 0.3744 loss_rpn_cls_sup: 0.03148 loss_rpn_loc_sup: 0.3074 loss_cls_unsup: 0.2633 loss_box_reg_unsup: 0.4805 loss_rpn_cls_unsup: 0.3655 loss_rpn_loc_unsup: 0.5464 time: 5.9328 data_time: 0.9119 lr: 0.016 max_mem: 18367M [10/26 00:12:22] d2.utils.events INFO: eta: 20:23:56 iter: 18279 total_loss: 2.3 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03802 loss_box_reg_sup: 0.3468 loss_rpn_cls_sup: 0.03636 loss_rpn_loc_sup: 0.3081 loss_cls_unsup: 0.2624 loss_box_reg_unsup: 0.5007 loss_rpn_cls_unsup: 0.3434 loss_rpn_loc_unsup: 0.4773 time: 5.9331 data_time: 0.8128 lr: 0.016 max_mem: 18367M [10/26 00:14:38] d2.utils.events INFO: eta: 20:21:44 iter: 18299 total_loss: 2.394 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03979 loss_box_reg_sup: 0.3422 loss_rpn_cls_sup: 0.03022 loss_rpn_loc_sup: 0.2971 loss_cls_unsup: 0.2783 loss_box_reg_unsup: 0.4829 loss_rpn_cls_unsup: 0.3588 loss_rpn_loc_unsup: 0.5697 time: 5.9341 data_time: 0.8065 lr: 0.016 max_mem: 18367M [10/26 00:16:42] d2.utils.events INFO: eta: 20:18:52 iter: 18319 total_loss: 2.447 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03941 loss_box_reg_sup: 0.3594 loss_rpn_cls_sup: 0.03952 loss_rpn_loc_sup: 0.3304 loss_cls_unsup: 0.287 loss_box_reg_unsup: 0.5231 loss_rpn_cls_unsup: 0.3567 loss_rpn_loc_unsup: 0.4975 time: 5.9344 data_time: 0.8004 lr: 0.016 max_mem: 18367M [10/26 00:18:58] d2.utils.events INFO: eta: 20:16:41 iter: 18339 total_loss: 2.451 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04121 loss_box_reg_sup: 0.3781 loss_rpn_cls_sup: 0.03475 loss_rpn_loc_sup: 0.3102 loss_cls_unsup: 0.2746 loss_box_reg_unsup: 0.5129 loss_rpn_cls_unsup: 0.3577 loss_rpn_loc_unsup: 0.5284 time: 5.9353 data_time: 0.8002 lr: 0.016 max_mem: 18367M [10/26 00:21:04] d2.utils.events INFO: eta: 20:14:24 iter: 18359 total_loss: 2.363 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03982 loss_box_reg_sup: 0.3527 loss_rpn_cls_sup: 0.03468 loss_rpn_loc_sup: 0.302 loss_cls_unsup: 0.2672 loss_box_reg_unsup: 0.5032 loss_rpn_cls_unsup: 0.339 loss_rpn_loc_unsup: 0.5158 time: 5.9358 data_time: 0.8372 lr: 0.016 max_mem: 18367M [10/26 00:23:15] d2.utils.events INFO: eta: 20:12:09 iter: 18379 total_loss: 2.375 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03956 loss_box_reg_sup: 0.3667 loss_rpn_cls_sup: 0.03878 loss_rpn_loc_sup: 0.3221 loss_cls_unsup: 0.2724 loss_box_reg_unsup: 0.4875 loss_rpn_cls_unsup: 0.3245 loss_rpn_loc_unsup: 0.5083 time: 5.9364 data_time: 0.8376 lr: 0.016 max_mem: 18367M [10/26 00:25:33] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 00:25:33] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 00:25:33] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 00:25:33] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 00:25:34] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:03:41 [10/26 00:25:39] d2.evaluation.evaluator INFO: Inference done 133/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:03:30 [10/26 00:25:44] d2.evaluation.evaluator INFO: Inference done 257/5258. Dataloading: 0.0011 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:03:23 [10/26 00:25:49] d2.evaluation.evaluator INFO: Inference done 379/5258. Dataloading: 0.0011 s/iter. 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ETA=0:00:15 [10/26 00:29:00] d2.evaluation.evaluator INFO: Inference done 5008/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:00:10 [10/26 00:29:05] d2.evaluation.evaluator INFO: Inference done 5126/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:00:05 [10/26 00:29:10] d2.evaluation.evaluator INFO: Inference done 5247/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:00:00 [10/26 00:29:11] d2.evaluation.evaluator INFO: Total inference time: 0:03:36.600300 (0.041234 s / iter per device, on 1 devices) [10/26 00:29:11] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:28 (0.039700 s / iter per device, on 1 devices) [10/26 00:29:11] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 00:30:11] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 00:30:11] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 00:30:11] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 00:30:11] d2.evaluation.testing INFO: copypaste: 5.8484,12.2623,5.3141 [10/26 00:30:13] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 00:30:13] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 00:30:13] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 00:30:13] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 00:30:14] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0542 s/iter. Eval: 0.0005 s/iter. Total: 0.0556 s/iter. 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ETA=0:00:19 [10/26 00:34:21] d2.evaluation.evaluator INFO: Inference done 4969/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:14 [10/26 00:34:26] d2.evaluation.evaluator INFO: Inference done 5072/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:09 [10/26 00:34:31] d2.evaluation.evaluator INFO: Inference done 5173/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:04 [10/26 00:34:35] d2.evaluation.evaluator INFO: Total inference time: 0:04:20.827248 (0.049653 s / iter per device, on 1 devices) [10/26 00:34:35] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:12 (0.048111 s / iter per device, on 1 devices) [10/26 00:34:35] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 00:35:45] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 00:35:45] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 00:35:45] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 00:35:45] d2.evaluation.testing INFO: copypaste: 6.1238,12.8664,5.6251 [10/26 00:35:45] d2.utils.events INFO: eta: 20:09:53 iter: 18399 total_loss: 2.431 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04395 loss_box_reg_sup: 0.3796 loss_rpn_cls_sup: 0.03836 loss_rpn_loc_sup: 0.3308 loss_cls_unsup: 0.2783 loss_box_reg_unsup: 0.5084 loss_rpn_cls_unsup: 0.3475 loss_rpn_loc_unsup: 0.5314 time: 5.9371 data_time: 0.8114 lr: 0.016 max_mem: 18367M [10/26 00:38:11] d2.utils.events INFO: eta: 20:08:17 iter: 18419 total_loss: 2.416 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04041 loss_box_reg_sup: 0.3884 loss_rpn_cls_sup: 0.03187 loss_rpn_loc_sup: 0.3165 loss_cls_unsup: 0.2797 loss_box_reg_unsup: 0.4877 loss_rpn_cls_unsup: 0.3528 loss_rpn_loc_unsup: 0.4987 time: 5.9386 data_time: 0.8130 lr: 0.016 max_mem: 18367M [10/26 00:40:18] d2.utils.events INFO: eta: 20:06:15 iter: 18439 total_loss: 2.386 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03819 loss_box_reg_sup: 0.3831 loss_rpn_cls_sup: 0.03757 loss_rpn_loc_sup: 0.3104 loss_cls_unsup: 0.2939 loss_box_reg_unsup: 0.4859 loss_rpn_cls_unsup: 0.3427 loss_rpn_loc_unsup: 0.4785 time: 5.9391 data_time: 0.8181 lr: 0.016 max_mem: 18367M [10/26 00:42:28] d2.utils.events INFO: eta: 20:04:10 iter: 18459 total_loss: 2.337 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04158 loss_box_reg_sup: 0.3405 loss_rpn_cls_sup: 0.03613 loss_rpn_loc_sup: 0.3074 loss_cls_unsup: 0.278 loss_box_reg_unsup: 0.4723 loss_rpn_cls_unsup: 0.3407 loss_rpn_loc_unsup: 0.4841 time: 5.9396 data_time: 0.8257 lr: 0.016 max_mem: 18367M [10/26 00:44:33] d2.utils.events INFO: eta: 20:01:33 iter: 18479 total_loss: 2.393 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04274 loss_box_reg_sup: 0.3525 loss_rpn_cls_sup: 0.04012 loss_rpn_loc_sup: 0.3179 loss_cls_unsup: 0.2818 loss_box_reg_unsup: 0.4708 loss_rpn_cls_unsup: 0.3689 loss_rpn_loc_unsup: 0.4837 time: 5.9400 data_time: 0.8407 lr: 0.016 max_mem: 18367M [10/26 00:46:42] d2.utils.events INFO: eta: 19:59:27 iter: 18499 total_loss: 2.431 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04307 loss_box_reg_sup: 0.3794 loss_rpn_cls_sup: 0.03661 loss_rpn_loc_sup: 0.3079 loss_cls_unsup: 0.2535 loss_box_reg_unsup: 0.5069 loss_rpn_cls_unsup: 0.3349 loss_rpn_loc_unsup: 0.5244 time: 5.9405 data_time: 0.8355 lr: 0.016 max_mem: 18367M [10/26 00:48:46] d2.utils.events INFO: eta: 19:56:52 iter: 18519 total_loss: 2.35 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04454 loss_box_reg_sup: 0.3467 loss_rpn_cls_sup: 0.03589 loss_rpn_loc_sup: 0.3156 loss_cls_unsup: 0.2769 loss_box_reg_unsup: 0.4984 loss_rpn_cls_unsup: 0.3468 loss_rpn_loc_unsup: 0.4977 time: 5.9408 data_time: 0.8241 lr: 0.016 max_mem: 18367M [10/26 00:51:01] d2.utils.events INFO: eta: 19:55:17 iter: 18539 total_loss: 2.331 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0407 loss_box_reg_sup: 0.3539 loss_rpn_cls_sup: 0.03318 loss_rpn_loc_sup: 0.2905 loss_cls_unsup: 0.2667 loss_box_reg_unsup: 0.4943 loss_rpn_cls_unsup: 0.3405 loss_rpn_loc_unsup: 0.5015 time: 5.9417 data_time: 0.8180 lr: 0.016 max_mem: 18367M [10/26 00:53:25] d2.utils.events INFO: eta: 19:53:46 iter: 18559 total_loss: 2.423 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04056 loss_box_reg_sup: 0.3574 loss_rpn_cls_sup: 0.03505 loss_rpn_loc_sup: 0.3032 loss_cls_unsup: 0.2756 loss_box_reg_unsup: 0.4902 loss_rpn_cls_unsup: 0.3733 loss_rpn_loc_unsup: 0.5445 time: 5.9431 data_time: 0.8276 lr: 0.016 max_mem: 18367M [10/26 00:55:30] d2.utils.events INFO: eta: 19:51:27 iter: 18579 total_loss: 2.388 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04174 loss_box_reg_sup: 0.3665 loss_rpn_cls_sup: 0.0367 loss_rpn_loc_sup: 0.3181 loss_cls_unsup: 0.2763 loss_box_reg_unsup: 0.492 loss_rpn_cls_unsup: 0.3381 loss_rpn_loc_unsup: 0.532 time: 5.9434 data_time: 0.8332 lr: 0.016 max_mem: 18367M [10/26 00:57:35] d2.utils.events INFO: eta: 19:48:40 iter: 18599 total_loss: 2.405 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0395 loss_box_reg_sup: 0.3804 loss_rpn_cls_sup: 0.0341 loss_rpn_loc_sup: 0.3155 loss_cls_unsup: 0.2689 loss_box_reg_unsup: 0.4692 loss_rpn_cls_unsup: 0.3455 loss_rpn_loc_unsup: 0.5323 time: 5.9437 data_time: 0.8505 lr: 0.016 max_mem: 18367M [10/26 00:59:49] d2.utils.events INFO: eta: 19:46:21 iter: 18619 total_loss: 2.452 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04643 loss_box_reg_sup: 0.376 loss_rpn_cls_sup: 0.0335 loss_rpn_loc_sup: 0.3057 loss_cls_unsup: 0.2697 loss_box_reg_unsup: 0.5196 loss_rpn_cls_unsup: 0.3491 loss_rpn_loc_unsup: 0.5193 time: 5.9445 data_time: 0.7996 lr: 0.016 max_mem: 18367M [10/26 01:01:57] d2.utils.events INFO: eta: 19:43:58 iter: 18639 total_loss: 2.324 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03699 loss_box_reg_sup: 0.3232 loss_rpn_cls_sup: 0.03391 loss_rpn_loc_sup: 0.2906 loss_cls_unsup: 0.2762 loss_box_reg_unsup: 0.4813 loss_rpn_cls_unsup: 0.365 loss_rpn_loc_unsup: 0.5022 time: 5.9450 data_time: 0.8198 lr: 0.016 max_mem: 18367M [10/26 01:04:02] d2.utils.events INFO: eta: 19:40:28 iter: 18659 total_loss: 2.413 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04135 loss_box_reg_sup: 0.3735 loss_rpn_cls_sup: 0.0354 loss_rpn_loc_sup: 0.3231 loss_cls_unsup: 0.2733 loss_box_reg_unsup: 0.4834 loss_rpn_cls_unsup: 0.3651 loss_rpn_loc_unsup: 0.4946 time: 5.9453 data_time: 0.7892 lr: 0.016 max_mem: 18367M [10/26 01:06:21] d2.utils.events INFO: eta: 19:38:09 iter: 18679 total_loss: 2.366 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04144 loss_box_reg_sup: 0.3649 loss_rpn_cls_sup: 0.03528 loss_rpn_loc_sup: 0.3151 loss_cls_unsup: 0.2744 loss_box_reg_unsup: 0.4914 loss_rpn_cls_unsup: 0.3464 loss_rpn_loc_unsup: 0.4832 time: 5.9464 data_time: 0.8330 lr: 0.016 max_mem: 18367M [10/26 01:08:48] d2.utils.events INFO: eta: 19:36:07 iter: 18699 total_loss: 2.333 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03628 loss_box_reg_sup: 0.3162 loss_rpn_cls_sup: 0.03312 loss_rpn_loc_sup: 0.2898 loss_cls_unsup: 0.2656 loss_box_reg_unsup: 0.4991 loss_rpn_cls_unsup: 0.3654 loss_rpn_loc_unsup: 0.4844 time: 5.9479 data_time: 0.8413 lr: 0.016 max_mem: 18367M [10/26 01:11:14] d2.utils.events INFO: eta: 19:33:54 iter: 18719 total_loss: 2.407 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03839 loss_box_reg_sup: 0.3451 loss_rpn_cls_sup: 0.0339 loss_rpn_loc_sup: 0.3154 loss_cls_unsup: 0.2645 loss_box_reg_unsup: 0.5115 loss_rpn_cls_unsup: 0.3759 loss_rpn_loc_unsup: 0.547 time: 5.9494 data_time: 0.8485 lr: 0.016 max_mem: 18367M [10/26 01:13:37] d2.utils.events INFO: eta: 19:31:30 iter: 18739 total_loss: 2.456 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03953 loss_box_reg_sup: 0.3573 loss_rpn_cls_sup: 0.03254 loss_rpn_loc_sup: 0.3028 loss_cls_unsup: 0.283 loss_box_reg_unsup: 0.5071 loss_rpn_cls_unsup: 0.3582 loss_rpn_loc_unsup: 0.5256 time: 5.9506 data_time: 0.8147 lr: 0.016 max_mem: 18367M [10/26 01:15:48] d2.utils.events INFO: eta: 19:29:30 iter: 18759 total_loss: 2.362 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03996 loss_box_reg_sup: 0.375 loss_rpn_cls_sup: 0.03545 loss_rpn_loc_sup: 0.3292 loss_cls_unsup: 0.2705 loss_box_reg_unsup: 0.4652 loss_rpn_cls_unsup: 0.3465 loss_rpn_loc_unsup: 0.5217 time: 5.9512 data_time: 0.8400 lr: 0.016 max_mem: 18367M [10/26 01:18:05] d2.utils.events INFO: eta: 19:27:30 iter: 18779 total_loss: 2.4 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03904 loss_box_reg_sup: 0.3403 loss_rpn_cls_sup: 0.03667 loss_rpn_loc_sup: 0.3158 loss_cls_unsup: 0.2815 loss_box_reg_unsup: 0.5051 loss_rpn_cls_unsup: 0.3574 loss_rpn_loc_unsup: 0.4968 time: 5.9522 data_time: 0.8302 lr: 0.016 max_mem: 18367M [10/26 01:20:25] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 01:20:25] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 01:20:25] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 01:20:25] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 01:20:27] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0430 s/iter. Eval: 0.0006 s/iter. Total: 0.0445 s/iter. ETA=0:03:53 [10/26 01:20:32] d2.evaluation.evaluator INFO: Inference done 140/5258. Dataloading: 0.0011 s/iter. Inference: 0.0376 s/iter. Eval: 0.0005 s/iter. Total: 0.0392 s/iter. ETA=0:03:20 [10/26 01:20:37] d2.evaluation.evaluator INFO: Inference done 268/5258. Dataloading: 0.0011 s/iter. Inference: 0.0376 s/iter. Eval: 0.0005 s/iter. Total: 0.0392 s/iter. ETA=0:03:15 [10/26 01:20:42] d2.evaluation.evaluator INFO: Inference done 394/5258. Dataloading: 0.0011 s/iter. 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ETA=0:02:48 [10/26 01:21:12] d2.evaluation.evaluator INFO: Inference done 1153/5258. Dataloading: 0.0010 s/iter. Inference: 0.0381 s/iter. Eval: 0.0005 s/iter. Total: 0.0397 s/iter. ETA=0:02:42 [10/26 01:21:17] d2.evaluation.evaluator INFO: Inference done 1274/5258. Dataloading: 0.0010 s/iter. Inference: 0.0383 s/iter. Eval: 0.0005 s/iter. Total: 0.0399 s/iter. ETA=0:02:38 [10/26 01:21:22] d2.evaluation.evaluator INFO: Inference done 1387/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0005 s/iter. Total: 0.0402 s/iter. ETA=0:02:35 [10/26 01:21:27] d2.evaluation.evaluator INFO: Inference done 1510/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0005 s/iter. Total: 0.0403 s/iter. ETA=0:02:30 [10/26 01:21:32] d2.evaluation.evaluator INFO: Inference done 1630/5258. Dataloading: 0.0010 s/iter. Inference: 0.0388 s/iter. Eval: 0.0005 s/iter. Total: 0.0404 s/iter. ETA=0:02:26 [10/26 01:21:37] d2.evaluation.evaluator INFO: Inference done 1753/5258. 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Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:01:03 [10/26 01:23:02] d2.evaluation.evaluator INFO: Inference done 3833/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:00:58 [10/26 01:23:07] d2.evaluation.evaluator INFO: Inference done 3963/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:00:52 [10/26 01:23:12] d2.evaluation.evaluator INFO: Inference done 4090/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:00:47 [10/26 01:23:17] d2.evaluation.evaluator INFO: Inference done 4212/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:00:42 [10/26 01:23:22] d2.evaluation.evaluator INFO: Inference done 4338/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:00:37 [10/26 01:23:27] d2.evaluation.evaluator INFO: Inference done 4464/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:00:32 [10/26 01:23:32] d2.evaluation.evaluator INFO: Inference done 4590/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:00:27 [10/26 01:23:37] d2.evaluation.evaluator INFO: Inference done 4712/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:00:22 [10/26 01:23:42] d2.evaluation.evaluator INFO: Inference done 4839/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:00:16 [10/26 01:23:47] d2.evaluation.evaluator INFO: Inference done 4964/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:00:11 [10/26 01:23:52] d2.evaluation.evaluator INFO: Inference done 5090/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:00:06 [10/26 01:23:57] d2.evaluation.evaluator INFO: Inference done 5213/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:00:01 [10/26 01:23:59] d2.evaluation.evaluator INFO: Total inference time: 0:03:33.058259 (0.040559 s / iter per device, on 1 devices) [10/26 01:23:59] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:24 (0.038982 s / iter per device, on 1 devices) [10/26 01:23:59] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 01:25:22] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 01:25:22] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 01:25:22] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 01:25:22] d2.evaluation.testing INFO: copypaste: 5.7513,12.0546,5.2544 [10/26 01:25:23] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 01:25:23] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 01:25:23] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 01:25:23] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 01:25:25] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0490 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:04:24 [10/26 01:25:30] d2.evaluation.evaluator INFO: Inference done 110/5258. Dataloading: 0.0012 s/iter. Inference: 0.0490 s/iter. Eval: 0.0005 s/iter. Total: 0.0508 s/iter. ETA=0:04:21 [10/26 01:25:35] d2.evaluation.evaluator INFO: Inference done 210/5258. Dataloading: 0.0012 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:04:15 [10/26 01:25:40] d2.evaluation.evaluator INFO: Inference done 312/5258. Dataloading: 0.0012 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:04:08 [10/26 01:25:45] d2.evaluation.evaluator INFO: Inference done 415/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:04:01 [10/26 01:25:50] d2.evaluation.evaluator INFO: Inference done 518/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:55 [10/26 01:25:55] d2.evaluation.evaluator INFO: Inference done 619/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:50 [10/26 01:26:00] d2.evaluation.evaluator INFO: Inference done 721/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:45 [10/26 01:26:05] d2.evaluation.evaluator INFO: Inference done 821/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:40 [10/26 01:26:10] d2.evaluation.evaluator INFO: Inference done 922/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:35 [10/26 01:26:15] d2.evaluation.evaluator INFO: Inference done 1022/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:30 [10/26 01:26:20] d2.evaluation.evaluator INFO: Inference done 1123/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. 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ETA=0:00:19 [10/26 01:29:31] d2.evaluation.evaluator INFO: Inference done 4958/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:00:14 [10/26 01:29:36] d2.evaluation.evaluator INFO: Inference done 5057/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:00:10 [10/26 01:29:41] d2.evaluation.evaluator INFO: Inference done 5158/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:00:04 [10/26 01:29:46] d2.evaluation.evaluator INFO: Total inference time: 0:04:21.566916 (0.049794 s / iter per device, on 1 devices) [10/26 01:29:46] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:13 (0.048253 s / iter per device, on 1 devices) [10/26 01:29:46] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 01:30:56] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 01:30:56] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 01:30:56] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 01:30:56] d2.evaluation.testing INFO: copypaste: 6.0892,12.7312,5.6251 [10/26 01:30:56] d2.utils.events INFO: eta: 19:25:04 iter: 18799 total_loss: 2.397 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03789 loss_box_reg_sup: 0.3304 loss_rpn_cls_sup: 0.03405 loss_rpn_loc_sup: 0.304 loss_cls_unsup: 0.2857 loss_box_reg_unsup: 0.4881 loss_rpn_cls_unsup: 0.3816 loss_rpn_loc_unsup: 0.5398 time: 5.9530 data_time: 0.8372 lr: 0.016 max_mem: 18367M [10/26 01:33:04] d2.utils.events INFO: eta: 19:23:16 iter: 18819 total_loss: 2.382 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03755 loss_box_reg_sup: 0.3611 loss_rpn_cls_sup: 0.03391 loss_rpn_loc_sup: 0.3021 loss_cls_unsup: 0.2641 loss_box_reg_unsup: 0.5011 loss_rpn_cls_unsup: 0.3457 loss_rpn_loc_unsup: 0.5077 time: 5.9535 data_time: 0.8709 lr: 0.016 max_mem: 18367M [10/26 01:35:11] d2.utils.events INFO: eta: 19:21:23 iter: 18839 total_loss: 2.353 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04094 loss_box_reg_sup: 0.3573 loss_rpn_cls_sup: 0.03803 loss_rpn_loc_sup: 0.3193 loss_cls_unsup: 0.2805 loss_box_reg_unsup: 0.4853 loss_rpn_cls_unsup: 0.352 loss_rpn_loc_unsup: 0.4891 time: 5.9539 data_time: 0.8153 lr: 0.016 max_mem: 18367M [10/26 01:37:25] d2.utils.events INFO: eta: 19:19:22 iter: 18859 total_loss: 2.386 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03833 loss_box_reg_sup: 0.351 loss_rpn_cls_sup: 0.0338 loss_rpn_loc_sup: 0.3082 loss_cls_unsup: 0.262 loss_box_reg_unsup: 0.4769 loss_rpn_cls_unsup: 0.3591 loss_rpn_loc_unsup: 0.4825 time: 5.9547 data_time: 0.8459 lr: 0.016 max_mem: 18367M [10/26 01:39:47] d2.utils.events INFO: eta: 19:17:34 iter: 18879 total_loss: 2.348 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0366 loss_box_reg_sup: 0.3349 loss_rpn_cls_sup: 0.03372 loss_rpn_loc_sup: 0.2978 loss_cls_unsup: 0.2754 loss_box_reg_unsup: 0.5113 loss_rpn_cls_unsup: 0.353 loss_rpn_loc_unsup: 0.4971 time: 5.9559 data_time: 0.8099 lr: 0.016 max_mem: 18367M [10/26 01:42:07] d2.utils.events INFO: eta: 19:16:02 iter: 18899 total_loss: 2.487 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03894 loss_box_reg_sup: 0.3716 loss_rpn_cls_sup: 0.03444 loss_rpn_loc_sup: 0.3213 loss_cls_unsup: 0.2827 loss_box_reg_unsup: 0.4995 loss_rpn_cls_unsup: 0.3811 loss_rpn_loc_unsup: 0.5518 time: 5.9570 data_time: 0.8111 lr: 0.016 max_mem: 18367M [10/26 01:44:17] d2.utils.events INFO: eta: 19:13:54 iter: 18919 total_loss: 2.337 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04165 loss_box_reg_sup: 0.388 loss_rpn_cls_sup: 0.03941 loss_rpn_loc_sup: 0.3337 loss_cls_unsup: 0.256 loss_box_reg_unsup: 0.5019 loss_rpn_cls_unsup: 0.3261 loss_rpn_loc_unsup: 0.492 time: 5.9576 data_time: 0.8125 lr: 0.016 max_mem: 18367M [10/26 01:46:27] d2.utils.events INFO: eta: 19:11:49 iter: 18939 total_loss: 2.442 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04215 loss_box_reg_sup: 0.3636 loss_rpn_cls_sup: 0.03445 loss_rpn_loc_sup: 0.3227 loss_cls_unsup: 0.2651 loss_box_reg_unsup: 0.4821 loss_rpn_cls_unsup: 0.3506 loss_rpn_loc_unsup: 0.5305 time: 5.9582 data_time: 0.8046 lr: 0.016 max_mem: 18367M [10/26 01:48:35] d2.utils.events INFO: eta: 19:09:15 iter: 18959 total_loss: 2.354 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0401 loss_box_reg_sup: 0.3601 loss_rpn_cls_sup: 0.03103 loss_rpn_loc_sup: 0.3046 loss_cls_unsup: 0.2402 loss_box_reg_unsup: 0.471 loss_rpn_cls_unsup: 0.3357 loss_rpn_loc_unsup: 0.5289 time: 5.9586 data_time: 0.7680 lr: 0.016 max_mem: 18367M [10/26 01:50:42] d2.utils.events INFO: eta: 19:07:10 iter: 18979 total_loss: 2.314 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04189 loss_box_reg_sup: 0.3529 loss_rpn_cls_sup: 0.03298 loss_rpn_loc_sup: 0.2822 loss_cls_unsup: 0.2788 loss_box_reg_unsup: 0.4715 loss_rpn_cls_unsup: 0.3472 loss_rpn_loc_unsup: 0.4742 time: 5.9591 data_time: 0.8174 lr: 0.016 max_mem: 18367M [10/26 01:52:58] d2.utils.events INFO: eta: 19:05:23 iter: 18999 total_loss: 2.319 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0348 loss_box_reg_sup: 0.3192 loss_rpn_cls_sup: 0.03798 loss_rpn_loc_sup: 0.2942 loss_cls_unsup: 0.2812 loss_box_reg_unsup: 0.4904 loss_rpn_cls_unsup: 0.3595 loss_rpn_loc_unsup: 0.4842 time: 5.9599 data_time: 0.8429 lr: 0.016 max_mem: 18367M [10/26 01:55:17] d2.utils.events INFO: eta: 19:03:00 iter: 19019 total_loss: 2.387 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04277 loss_box_reg_sup: 0.3625 loss_rpn_cls_sup: 0.0348 loss_rpn_loc_sup: 0.3149 loss_cls_unsup: 0.2768 loss_box_reg_unsup: 0.4712 loss_rpn_cls_unsup: 0.3616 loss_rpn_loc_unsup: 0.5225 time: 5.9610 data_time: 0.8104 lr: 0.016 max_mem: 18367M [10/26 01:57:48] d2.utils.events INFO: eta: 19:00:57 iter: 19039 total_loss: 2.384 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04028 loss_box_reg_sup: 0.3598 loss_rpn_cls_sup: 0.03717 loss_rpn_loc_sup: 0.3105 loss_cls_unsup: 0.2744 loss_box_reg_unsup: 0.5233 loss_rpn_cls_unsup: 0.3282 loss_rpn_loc_unsup: 0.5434 time: 5.9626 data_time: 0.8944 lr: 0.016 max_mem: 18367M [10/26 01:59:58] d2.utils.events INFO: eta: 18:59:23 iter: 19059 total_loss: 2.435 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04497 loss_box_reg_sup: 0.3771 loss_rpn_cls_sup: 0.03535 loss_rpn_loc_sup: 0.3297 loss_cls_unsup: 0.2636 loss_box_reg_unsup: 0.4857 loss_rpn_cls_unsup: 0.3482 loss_rpn_loc_unsup: 0.5513 time: 5.9632 data_time: 0.8338 lr: 0.016 max_mem: 18367M [10/26 02:02:03] d2.utils.events INFO: eta: 18:57:20 iter: 19079 total_loss: 2.344 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04284 loss_box_reg_sup: 0.3586 loss_rpn_cls_sup: 0.03598 loss_rpn_loc_sup: 0.3203 loss_cls_unsup: 0.2686 loss_box_reg_unsup: 0.5064 loss_rpn_cls_unsup: 0.3429 loss_rpn_loc_unsup: 0.4981 time: 5.9635 data_time: 0.8340 lr: 0.016 max_mem: 18367M [10/26 02:04:08] d2.utils.events INFO: eta: 18:55:08 iter: 19099 total_loss: 2.379 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03882 loss_box_reg_sup: 0.3581 loss_rpn_cls_sup: 0.03477 loss_rpn_loc_sup: 0.3156 loss_cls_unsup: 0.2875 loss_box_reg_unsup: 0.4949 loss_rpn_cls_unsup: 0.3566 loss_rpn_loc_unsup: 0.5132 time: 5.9638 data_time: 0.8040 lr: 0.016 max_mem: 18367M [10/26 02:06:20] d2.utils.events INFO: eta: 18:53:06 iter: 19119 total_loss: 2.349 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0377 loss_box_reg_sup: 0.3552 loss_rpn_cls_sup: 0.03306 loss_rpn_loc_sup: 0.3172 loss_cls_unsup: 0.2775 loss_box_reg_unsup: 0.518 loss_rpn_cls_unsup: 0.3474 loss_rpn_loc_unsup: 0.4996 time: 5.9644 data_time: 0.8142 lr: 0.016 max_mem: 18367M [10/26 02:08:35] d2.utils.events INFO: eta: 18:51:01 iter: 19139 total_loss: 2.38 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03841 loss_box_reg_sup: 0.3636 loss_rpn_cls_sup: 0.03233 loss_rpn_loc_sup: 0.3005 loss_cls_unsup: 0.2723 loss_box_reg_unsup: 0.5132 loss_rpn_cls_unsup: 0.3268 loss_rpn_loc_unsup: 0.5293 time: 5.9653 data_time: 0.8395 lr: 0.016 max_mem: 18367M [10/26 02:10:43] d2.utils.events INFO: eta: 18:48:58 iter: 19159 total_loss: 2.409 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03997 loss_box_reg_sup: 0.3523 loss_rpn_cls_sup: 0.03549 loss_rpn_loc_sup: 0.2967 loss_cls_unsup: 0.2732 loss_box_reg_unsup: 0.4984 loss_rpn_cls_unsup: 0.3516 loss_rpn_loc_unsup: 0.4985 time: 5.9657 data_time: 0.8172 lr: 0.016 max_mem: 18367M [10/26 02:12:49] d2.utils.events INFO: eta: 18:46:53 iter: 19179 total_loss: 2.442 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03953 loss_box_reg_sup: 0.3627 loss_rpn_cls_sup: 0.03467 loss_rpn_loc_sup: 0.3251 loss_cls_unsup: 0.2614 loss_box_reg_unsup: 0.4898 loss_rpn_cls_unsup: 0.3491 loss_rpn_loc_unsup: 0.5175 time: 5.9661 data_time: 0.8211 lr: 0.016 max_mem: 18367M [10/26 02:15:13] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 02:15:13] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 02:15:13] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 02:15:13] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 02:15:15] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0451 s/iter. Eval: 0.0004 s/iter. Total: 0.0464 s/iter. ETA=0:04:03 [10/26 02:15:20] d2.evaluation.evaluator INFO: Inference done 141/5258. Dataloading: 0.0011 s/iter. Inference: 0.0375 s/iter. Eval: 0.0004 s/iter. Total: 0.0389 s/iter. ETA=0:03:19 [10/26 02:15:25] d2.evaluation.evaluator INFO: Inference done 268/5258. Dataloading: 0.0010 s/iter. Inference: 0.0378 s/iter. Eval: 0.0004 s/iter. Total: 0.0392 s/iter. ETA=0:03:15 [10/26 02:15:30] d2.evaluation.evaluator INFO: Inference done 388/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0400 s/iter. ETA=0:03:15 [10/26 02:15:35] d2.evaluation.evaluator INFO: Inference done 508/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:03:12 [10/26 02:15:40] d2.evaluation.evaluator INFO: Inference done 633/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:03:06 [10/26 02:15:45] d2.evaluation.evaluator INFO: Inference done 762/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0004 s/iter. Total: 0.0401 s/iter. ETA=0:03:00 [10/26 02:15:50] d2.evaluation.evaluator INFO: Inference done 879/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:02:57 [10/26 02:15:55] d2.evaluation.evaluator INFO: Inference done 1010/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0004 s/iter. Total: 0.0402 s/iter. ETA=0:02:50 [10/26 02:16:00] d2.evaluation.evaluator INFO: Inference done 1134/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0004 s/iter. Total: 0.0402 s/iter. ETA=0:02:45 [10/26 02:16:05] d2.evaluation.evaluator INFO: Inference done 1261/5258. Dataloading: 0.0011 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0401 s/iter. ETA=0:02:40 [10/26 02:16:10] d2.evaluation.evaluator INFO: Inference done 1391/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0400 s/iter. ETA=0:02:34 [10/26 02:16:15] d2.evaluation.evaluator INFO: Inference done 1519/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0399 s/iter. ETA=0:02:29 [10/26 02:16:20] d2.evaluation.evaluator INFO: Inference done 1645/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0399 s/iter. ETA=0:02:24 [10/26 02:16:25] d2.evaluation.evaluator INFO: Inference done 1764/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0401 s/iter. ETA=0:02:20 [10/26 02:16:30] d2.evaluation.evaluator INFO: Inference done 1891/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0400 s/iter. ETA=0:02:14 [10/26 02:16:35] d2.evaluation.evaluator INFO: Inference done 2016/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0400 s/iter. ETA=0:02:09 [10/26 02:16:40] d2.evaluation.evaluator INFO: Inference done 2140/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0401 s/iter. ETA=0:02:04 [10/26 02:16:45] d2.evaluation.evaluator INFO: Inference done 2268/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0400 s/iter. ETA=0:01:59 [10/26 02:16:50] d2.evaluation.evaluator INFO: Inference done 2396/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0400 s/iter. ETA=0:01:54 [10/26 02:16:55] d2.evaluation.evaluator INFO: Inference done 2528/5258. Dataloading: 0.0010 s/iter. Inference: 0.0384 s/iter. Eval: 0.0004 s/iter. Total: 0.0399 s/iter. ETA=0:01:48 [10/26 02:17:00] d2.evaluation.evaluator INFO: Inference done 2641/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0401 s/iter. ETA=0:01:44 [10/26 02:17:05] d2.evaluation.evaluator INFO: Inference done 2768/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0401 s/iter. ETA=0:01:39 [10/26 02:17:10] d2.evaluation.evaluator INFO: Inference done 2894/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0401 s/iter. ETA=0:01:34 [10/26 02:17:15] d2.evaluation.evaluator INFO: Inference done 3022/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0400 s/iter. ETA=0:01:29 [10/26 02:17:20] d2.evaluation.evaluator INFO: Inference done 3151/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0400 s/iter. ETA=0:01:24 [10/26 02:17:25] d2.evaluation.evaluator INFO: Inference done 3280/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0399 s/iter. ETA=0:01:18 [10/26 02:17:30] d2.evaluation.evaluator INFO: Inference done 3400/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0400 s/iter. ETA=0:01:14 [10/26 02:17:35] d2.evaluation.evaluator INFO: Inference done 3527/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0400 s/iter. ETA=0:01:09 [10/26 02:17:40] d2.evaluation.evaluator INFO: Inference done 3646/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0400 s/iter. ETA=0:01:04 [10/26 02:17:45] d2.evaluation.evaluator INFO: Inference done 3776/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0400 s/iter. ETA=0:00:59 [10/26 02:17:50] d2.evaluation.evaluator INFO: Inference done 3903/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0400 s/iter. ETA=0:00:54 [10/26 02:17:55] d2.evaluation.evaluator INFO: Inference done 4032/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0399 s/iter. ETA=0:00:48 [10/26 02:18:00] d2.evaluation.evaluator INFO: Inference done 4158/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0399 s/iter. ETA=0:00:43 [10/26 02:18:05] d2.evaluation.evaluator INFO: Inference done 4288/5258. Dataloading: 0.0010 s/iter. Inference: 0.0384 s/iter. Eval: 0.0004 s/iter. Total: 0.0399 s/iter. ETA=0:00:38 [10/26 02:18:10] d2.evaluation.evaluator INFO: Inference done 4405/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0400 s/iter. ETA=0:00:34 [10/26 02:18:15] d2.evaluation.evaluator INFO: Inference done 4534/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0400 s/iter. ETA=0:00:28 [10/26 02:18:20] d2.evaluation.evaluator INFO: Inference done 4662/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0399 s/iter. ETA=0:00:23 [10/26 02:18:25] d2.evaluation.evaluator INFO: Inference done 4785/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0400 s/iter. ETA=0:00:18 [10/26 02:18:30] d2.evaluation.evaluator INFO: Inference done 4917/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0399 s/iter. ETA=0:00:13 [10/26 02:18:35] d2.evaluation.evaluator INFO: Inference done 5041/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0399 s/iter. ETA=0:00:08 [10/26 02:18:40] d2.evaluation.evaluator INFO: Inference done 5166/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0399 s/iter. ETA=0:00:03 [10/26 02:18:44] d2.evaluation.evaluator INFO: Total inference time: 0:03:29.876546 (0.039954 s / iter per device, on 1 devices) [10/26 02:18:44] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:22 (0.038488 s / iter per device, on 1 devices) [10/26 02:18:44] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 02:19:36] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 02:19:36] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 02:19:36] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 02:19:36] d2.evaluation.testing INFO: copypaste: 6.0231,12.8474,5.3466 [10/26 02:19:38] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 02:19:38] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 02:19:38] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 02:19:38] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 02:19:39] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0500 s/iter. Eval: 0.0005 s/iter. Total: 0.0513 s/iter. ETA=0:04:29 [10/26 02:19:44] d2.evaluation.evaluator INFO: Inference done 112/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:04:16 [10/26 02:19:49] d2.evaluation.evaluator INFO: Inference done 212/5258. Dataloading: 0.0010 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:04:11 [10/26 02:19:54] d2.evaluation.evaluator INFO: Inference done 315/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:04:04 [10/26 02:19:59] d2.evaluation.evaluator INFO: Inference done 417/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:59 [10/26 02:20:04] d2.evaluation.evaluator INFO: Inference done 519/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:54 [10/26 02:20:09] d2.evaluation.evaluator INFO: Inference done 619/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:49 [10/26 02:20:14] d2.evaluation.evaluator INFO: Inference done 722/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:44 [10/26 02:20:19] d2.evaluation.evaluator INFO: Inference done 825/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:38 [10/26 02:20:24] d2.evaluation.evaluator INFO: Inference done 926/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:34 [10/26 02:20:30] d2.evaluation.evaluator INFO: Inference done 1028/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:29 [10/26 02:20:35] d2.evaluation.evaluator INFO: Inference done 1128/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:24 [10/26 02:20:40] d2.evaluation.evaluator INFO: Inference done 1229/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:19 [10/26 02:20:45] d2.evaluation.evaluator INFO: Inference done 1331/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:14 [10/26 02:20:50] d2.evaluation.evaluator INFO: Inference done 1432/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:09 [10/26 02:20:55] d2.evaluation.evaluator INFO: Inference done 1534/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:04 [10/26 02:21:00] d2.evaluation.evaluator INFO: Inference done 1636/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:59 [10/26 02:21:05] d2.evaluation.evaluator INFO: Inference done 1736/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:54 [10/26 02:21:10] d2.evaluation.evaluator INFO: Inference done 1839/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:49 [10/26 02:21:15] d2.evaluation.evaluator INFO: Inference done 1939/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:44 [10/26 02:21:20] d2.evaluation.evaluator INFO: Inference done 2041/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:39 [10/26 02:21:25] d2.evaluation.evaluator INFO: Inference done 2141/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:02:34 [10/26 02:21:30] d2.evaluation.evaluator INFO: Inference done 2244/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:29 [10/26 02:21:35] d2.evaluation.evaluator INFO: Inference done 2348/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:23 [10/26 02:21:40] d2.evaluation.evaluator INFO: Inference done 2450/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:18 [10/26 02:21:45] d2.evaluation.evaluator INFO: Inference done 2551/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:13 [10/26 02:21:50] d2.evaluation.evaluator INFO: Inference done 2653/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:08 [10/26 02:21:55] d2.evaluation.evaluator INFO: Inference done 2754/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:03 [10/26 02:22:00] d2.evaluation.evaluator INFO: Inference done 2857/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:58 [10/26 02:22:05] d2.evaluation.evaluator INFO: Inference done 2956/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:53 [10/26 02:22:10] d2.evaluation.evaluator INFO: Inference done 3059/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:48 [10/26 02:22:15] d2.evaluation.evaluator INFO: Inference done 3161/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:43 [10/26 02:22:20] d2.evaluation.evaluator INFO: Inference done 3263/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:38 [10/26 02:22:25] d2.evaluation.evaluator INFO: Inference done 3366/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:33 [10/26 02:22:30] d2.evaluation.evaluator INFO: Inference done 3467/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:28 [10/26 02:22:35] d2.evaluation.evaluator INFO: Inference done 3568/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:23 [10/26 02:22:40] d2.evaluation.evaluator INFO: Inference done 3666/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:18 [10/26 02:22:45] d2.evaluation.evaluator INFO: Inference done 3760/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:01:14 [10/26 02:22:50] d2.evaluation.evaluator INFO: Inference done 3862/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:01:09 [10/26 02:22:55] d2.evaluation.evaluator INFO: Inference done 3963/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:01:04 [10/26 02:23:00] d2.evaluation.evaluator INFO: Inference done 4065/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:59 [10/26 02:23:05] d2.evaluation.evaluator INFO: Inference done 4168/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:54 [10/26 02:23:10] d2.evaluation.evaluator INFO: Inference done 4270/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:48 [10/26 02:23:15] d2.evaluation.evaluator INFO: Inference done 4371/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:43 [10/26 02:23:20] d2.evaluation.evaluator INFO: Inference done 4476/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:38 [10/26 02:23:25] d2.evaluation.evaluator INFO: Inference done 4576/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:33 [10/26 02:23:30] d2.evaluation.evaluator INFO: Inference done 4678/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:28 [10/26 02:23:35] d2.evaluation.evaluator INFO: Inference done 4778/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:23 [10/26 02:23:40] d2.evaluation.evaluator INFO: Inference done 4878/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:18 [10/26 02:23:45] d2.evaluation.evaluator INFO: Inference done 4979/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:13 [10/26 02:23:50] d2.evaluation.evaluator INFO: Inference done 5081/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:08 [10/26 02:23:55] d2.evaluation.evaluator INFO: Inference done 5182/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:03 [10/26 02:23:59] d2.evaluation.evaluator INFO: Total inference time: 0:04:20.184097 (0.049531 s / iter per device, on 1 devices) [10/26 02:23:59] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:12 (0.047979 s / iter per device, on 1 devices) [10/26 02:23:59] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 02:25:12] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 02:25:12] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 02:25:12] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 02:25:12] d2.evaluation.testing INFO: copypaste: 6.0799,12.7615,5.5897 [10/26 02:25:12] d2.utils.events INFO: eta: 18:44:47 iter: 19199 total_loss: 2.469 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04018 loss_box_reg_sup: 0.3708 loss_rpn_cls_sup: 0.03623 loss_rpn_loc_sup: 0.3142 loss_cls_unsup: 0.274 loss_box_reg_unsup: 0.4986 loss_rpn_cls_unsup: 0.352 loss_rpn_loc_unsup: 0.5967 time: 5.9671 data_time: 0.8378 lr: 0.016 max_mem: 18367M [10/26 02:27:18] d2.utils.events INFO: eta: 18:42:49 iter: 19219 total_loss: 2.355 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04129 loss_box_reg_sup: 0.3792 loss_rpn_cls_sup: 0.03515 loss_rpn_loc_sup: 0.3107 loss_cls_unsup: 0.2754 loss_box_reg_unsup: 0.4958 loss_rpn_cls_unsup: 0.336 loss_rpn_loc_unsup: 0.5288 time: 5.9674 data_time: 0.8211 lr: 0.016 max_mem: 18367M [10/26 02:29:34] d2.utils.events INFO: eta: 18:40:37 iter: 19239 total_loss: 2.375 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0411 loss_box_reg_sup: 0.3608 loss_rpn_cls_sup: 0.03841 loss_rpn_loc_sup: 0.3204 loss_cls_unsup: 0.2658 loss_box_reg_unsup: 0.4858 loss_rpn_cls_unsup: 0.3408 loss_rpn_loc_unsup: 0.4818 time: 5.9683 data_time: 0.8282 lr: 0.016 max_mem: 18367M [10/26 02:31:44] d2.utils.events INFO: eta: 18:38:28 iter: 19259 total_loss: 2.439 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04117 loss_box_reg_sup: 0.376 loss_rpn_cls_sup: 0.03524 loss_rpn_loc_sup: 0.3152 loss_cls_unsup: 0.2883 loss_box_reg_unsup: 0.4781 loss_rpn_cls_unsup: 0.3681 loss_rpn_loc_unsup: 0.5316 time: 5.9688 data_time: 0.8082 lr: 0.016 max_mem: 18367M [10/26 02:33:49] d2.utils.events INFO: eta: 18:36:27 iter: 19279 total_loss: 2.438 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03789 loss_box_reg_sup: 0.3541 loss_rpn_cls_sup: 0.03665 loss_rpn_loc_sup: 0.322 loss_cls_unsup: 0.2814 loss_box_reg_unsup: 0.5095 loss_rpn_cls_unsup: 0.368 loss_rpn_loc_unsup: 0.5217 time: 5.9691 data_time: 0.8404 lr: 0.016 max_mem: 18367M [10/26 02:36:03] d2.utils.events INFO: eta: 18:34:27 iter: 19299 total_loss: 2.47 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0402 loss_box_reg_sup: 0.3493 loss_rpn_cls_sup: 0.03448 loss_rpn_loc_sup: 0.3112 loss_cls_unsup: 0.2813 loss_box_reg_unsup: 0.4823 loss_rpn_cls_unsup: 0.343 loss_rpn_loc_unsup: 0.5233 time: 5.9699 data_time: 0.8422 lr: 0.016 max_mem: 18367M [10/26 02:38:16] d2.utils.events INFO: eta: 18:32:56 iter: 19319 total_loss: 2.431 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04095 loss_box_reg_sup: 0.3648 loss_rpn_cls_sup: 0.03726 loss_rpn_loc_sup: 0.315 loss_cls_unsup: 0.2765 loss_box_reg_unsup: 0.5012 loss_rpn_cls_unsup: 0.3594 loss_rpn_loc_unsup: 0.4724 time: 5.9706 data_time: 0.8578 lr: 0.016 max_mem: 18367M [10/26 02:40:20] d2.utils.events INFO: eta: 18:30:51 iter: 19339 total_loss: 2.315 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03574 loss_box_reg_sup: 0.3148 loss_rpn_cls_sup: 0.03207 loss_rpn_loc_sup: 0.302 loss_cls_unsup: 0.2623 loss_box_reg_unsup: 0.4942 loss_rpn_cls_unsup: 0.3343 loss_rpn_loc_unsup: 0.5051 time: 5.9708 data_time: 0.7626 lr: 0.016 max_mem: 18367M [10/26 02:42:26] d2.utils.events INFO: eta: 18:28:52 iter: 19359 total_loss: 2.437 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03936 loss_box_reg_sup: 0.3351 loss_rpn_cls_sup: 0.03517 loss_rpn_loc_sup: 0.3179 loss_cls_unsup: 0.2654 loss_box_reg_unsup: 0.5018 loss_rpn_cls_unsup: 0.3625 loss_rpn_loc_unsup: 0.5796 time: 5.9712 data_time: 0.8069 lr: 0.016 max_mem: 18367M [10/26 02:44:33] d2.utils.events INFO: eta: 18:26:50 iter: 19379 total_loss: 2.365 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03939 loss_box_reg_sup: 0.3628 loss_rpn_cls_sup: 0.03375 loss_rpn_loc_sup: 0.3078 loss_cls_unsup: 0.2763 loss_box_reg_unsup: 0.511 loss_rpn_cls_unsup: 0.3377 loss_rpn_loc_unsup: 0.4782 time: 5.9715 data_time: 0.8261 lr: 0.016 max_mem: 18367M [10/26 02:46:51] d2.utils.events INFO: eta: 18:24:45 iter: 19399 total_loss: 2.377 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03826 loss_box_reg_sup: 0.337 loss_rpn_cls_sup: 0.03178 loss_rpn_loc_sup: 0.3092 loss_cls_unsup: 0.2768 loss_box_reg_unsup: 0.4892 loss_rpn_cls_unsup: 0.3472 loss_rpn_loc_unsup: 0.5067 time: 5.9725 data_time: 0.8049 lr: 0.016 max_mem: 18367M [10/26 02:49:06] d2.utils.events INFO: eta: 18:22:53 iter: 19419 total_loss: 2.393 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03596 loss_box_reg_sup: 0.3412 loss_rpn_cls_sup: 0.03353 loss_rpn_loc_sup: 0.3047 loss_cls_unsup: 0.2595 loss_box_reg_unsup: 0.4838 loss_rpn_cls_unsup: 0.3403 loss_rpn_loc_unsup: 0.5318 time: 5.9733 data_time: 0.8300 lr: 0.016 max_mem: 18367M [10/26 02:51:12] d2.utils.events INFO: eta: 18:21:27 iter: 19439 total_loss: 2.396 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03951 loss_box_reg_sup: 0.3458 loss_rpn_cls_sup: 0.03479 loss_rpn_loc_sup: 0.3169 loss_cls_unsup: 0.2607 loss_box_reg_unsup: 0.4854 loss_rpn_cls_unsup: 0.3619 loss_rpn_loc_unsup: 0.5705 time: 5.9737 data_time: 0.8418 lr: 0.016 max_mem: 18367M [10/26 02:53:24] d2.utils.events INFO: eta: 18:19:30 iter: 19459 total_loss: 2.443 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04014 loss_box_reg_sup: 0.3728 loss_rpn_cls_sup: 0.03678 loss_rpn_loc_sup: 0.3263 loss_cls_unsup: 0.27 loss_box_reg_unsup: 0.5133 loss_rpn_cls_unsup: 0.3459 loss_rpn_loc_unsup: 0.5255 time: 5.9743 data_time: 0.8277 lr: 0.016 max_mem: 18367M [10/26 02:55:32] d2.utils.events INFO: eta: 18:17:36 iter: 19479 total_loss: 2.324 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0398 loss_box_reg_sup: 0.3634 loss_rpn_cls_sup: 0.03227 loss_rpn_loc_sup: 0.3064 loss_cls_unsup: 0.2638 loss_box_reg_unsup: 0.4986 loss_rpn_cls_unsup: 0.3498 loss_rpn_loc_unsup: 0.5369 time: 5.9747 data_time: 0.8357 lr: 0.016 max_mem: 18367M [10/26 02:58:05] d2.utils.events INFO: eta: 18:15:50 iter: 19499 total_loss: 2.4 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03966 loss_box_reg_sup: 0.3718 loss_rpn_cls_sup: 0.03745 loss_rpn_loc_sup: 0.3158 loss_cls_unsup: 0.2745 loss_box_reg_unsup: 0.4991 loss_rpn_cls_unsup: 0.3437 loss_rpn_loc_unsup: 0.5342 time: 5.9765 data_time: 0.8505 lr: 0.016 max_mem: 18367M [10/26 03:00:20] d2.utils.events INFO: eta: 18:14:27 iter: 19519 total_loss: 2.456 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04314 loss_box_reg_sup: 0.3792 loss_rpn_cls_sup: 0.03667 loss_rpn_loc_sup: 0.3269 loss_cls_unsup: 0.2553 loss_box_reg_unsup: 0.4873 loss_rpn_cls_unsup: 0.3484 loss_rpn_loc_unsup: 0.516 time: 5.9772 data_time: 0.8523 lr: 0.016 max_mem: 18367M [10/26 03:02:37] d2.utils.events INFO: eta: 18:12:00 iter: 19539 total_loss: 2.43 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03979 loss_box_reg_sup: 0.3803 loss_rpn_cls_sup: 0.03678 loss_rpn_loc_sup: 0.3047 loss_cls_unsup: 0.2704 loss_box_reg_unsup: 0.5014 loss_rpn_cls_unsup: 0.342 loss_rpn_loc_unsup: 0.519 time: 5.9781 data_time: 0.8379 lr: 0.016 max_mem: 18367M [10/26 03:04:48] d2.utils.events INFO: eta: 18:09:36 iter: 19559 total_loss: 2.391 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04276 loss_box_reg_sup: 0.359 loss_rpn_cls_sup: 0.03537 loss_rpn_loc_sup: 0.3059 loss_cls_unsup: 0.2749 loss_box_reg_unsup: 0.501 loss_rpn_cls_unsup: 0.3576 loss_rpn_loc_unsup: 0.5489 time: 5.9787 data_time: 0.8023 lr: 0.016 max_mem: 18367M [10/26 03:06:52] d2.utils.events INFO: eta: 18:07:29 iter: 19579 total_loss: 2.389 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04059 loss_box_reg_sup: 0.373 loss_rpn_cls_sup: 0.03496 loss_rpn_loc_sup: 0.3069 loss_cls_unsup: 0.282 loss_box_reg_unsup: 0.4869 loss_rpn_cls_unsup: 0.3525 loss_rpn_loc_unsup: 0.5498 time: 5.9789 data_time: 0.7932 lr: 0.016 max_mem: 18367M [10/26 03:09:09] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 03:09:09] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 03:09:09] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 03:09:09] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 03:09:10] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0371 s/iter. Eval: 0.0005 s/iter. Total: 0.0385 s/iter. ETA=0:03:22 [10/26 03:09:15] d2.evaluation.evaluator INFO: Inference done 137/5258. Dataloading: 0.0012 s/iter. Inference: 0.0381 s/iter. Eval: 0.0004 s/iter. Total: 0.0398 s/iter. ETA=0:03:23 [10/26 03:09:20] d2.evaluation.evaluator INFO: Inference done 259/5258. Dataloading: 0.0011 s/iter. Inference: 0.0388 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:03:21 [10/26 03:09:25] d2.evaluation.evaluator INFO: Inference done 385/5258. Dataloading: 0.0011 s/iter. Inference: 0.0387 s/iter. Eval: 0.0004 s/iter. Total: 0.0402 s/iter. ETA=0:03:15 [10/26 03:09:30] d2.evaluation.evaluator INFO: Inference done 509/5258. Dataloading: 0.0011 s/iter. Inference: 0.0387 s/iter. Eval: 0.0004 s/iter. Total: 0.0403 s/iter. ETA=0:03:11 [10/26 03:09:35] d2.evaluation.evaluator INFO: Inference done 633/5258. Dataloading: 0.0011 s/iter. Inference: 0.0388 s/iter. Eval: 0.0004 s/iter. Total: 0.0403 s/iter. ETA=0:03:06 [10/26 03:09:40] d2.evaluation.evaluator INFO: Inference done 752/5258. Dataloading: 0.0011 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:03:02 [10/26 03:09:45] d2.evaluation.evaluator INFO: Inference done 873/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:02:58 [10/26 03:09:50] d2.evaluation.evaluator INFO: Inference done 992/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0409 s/iter. ETA=0:02:54 [10/26 03:09:55] d2.evaluation.evaluator INFO: Inference done 1121/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:02:48 [10/26 03:10:00] d2.evaluation.evaluator INFO: Inference done 1238/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0409 s/iter. ETA=0:02:44 [10/26 03:10:05] d2.evaluation.evaluator INFO: Inference done 1354/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:02:40 [10/26 03:10:10] d2.evaluation.evaluator INFO: Inference done 1480/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0004 s/iter. Total: 0.0410 s/iter. ETA=0:02:34 [10/26 03:10:15] d2.evaluation.evaluator INFO: Inference done 1608/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:02:29 [10/26 03:10:20] d2.evaluation.evaluator INFO: Inference done 1737/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:02:23 [10/26 03:10:25] d2.evaluation.evaluator INFO: Inference done 1862/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:02:18 [10/26 03:10:30] d2.evaluation.evaluator INFO: Inference done 1990/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:02:12 [10/26 03:10:36] d2.evaluation.evaluator INFO: Inference done 2118/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:02:07 [10/26 03:10:41] d2.evaluation.evaluator INFO: Inference done 2238/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:02:02 [10/26 03:10:46] d2.evaluation.evaluator INFO: Inference done 2367/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:01:57 [10/26 03:10:51] d2.evaluation.evaluator INFO: Inference done 2491/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:01:52 [10/26 03:10:56] d2.evaluation.evaluator INFO: Inference done 2621/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:01:46 [10/26 03:11:01] d2.evaluation.evaluator INFO: Inference done 2745/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:01:41 [10/26 03:11:06] d2.evaluation.evaluator INFO: Inference done 2871/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:01:36 [10/26 03:11:11] d2.evaluation.evaluator INFO: Inference done 2997/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:01:31 [10/26 03:11:16] d2.evaluation.evaluator INFO: Inference done 3124/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. Total: 0.0403 s/iter. ETA=0:01:26 [10/26 03:11:21] d2.evaluation.evaluator INFO: Inference done 3254/5258. Dataloading: 0.0010 s/iter. Inference: 0.0388 s/iter. Eval: 0.0004 s/iter. Total: 0.0403 s/iter. ETA=0:01:20 [10/26 03:11:26] d2.evaluation.evaluator INFO: Inference done 3383/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0004 s/iter. Total: 0.0402 s/iter. ETA=0:01:15 [10/26 03:11:31] d2.evaluation.evaluator INFO: Inference done 3483/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:01:11 [10/26 03:11:36] d2.evaluation.evaluator INFO: Inference done 3607/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:01:06 [10/26 03:11:41] d2.evaluation.evaluator INFO: Inference done 3727/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:01:02 [10/26 03:11:46] d2.evaluation.evaluator INFO: Inference done 3858/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:00:56 [10/26 03:11:51] d2.evaluation.evaluator INFO: Inference done 3985/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:00:51 [10/26 03:11:56] d2.evaluation.evaluator INFO: Inference done 4114/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:00:46 [10/26 03:12:01] d2.evaluation.evaluator INFO: Inference done 4242/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:00:40 [10/26 03:12:06] d2.evaluation.evaluator INFO: Inference done 4370/5258. Dataloading: 0.0010 s/iter. Inference: 0.0388 s/iter. Eval: 0.0004 s/iter. Total: 0.0403 s/iter. ETA=0:00:35 [10/26 03:12:11] d2.evaluation.evaluator INFO: Inference done 4496/5258. Dataloading: 0.0010 s/iter. Inference: 0.0388 s/iter. Eval: 0.0004 s/iter. Total: 0.0403 s/iter. ETA=0:00:30 [10/26 03:12:16] d2.evaluation.evaluator INFO: Inference done 4623/5258. Dataloading: 0.0010 s/iter. Inference: 0.0388 s/iter. Eval: 0.0004 s/iter. Total: 0.0403 s/iter. ETA=0:00:25 [10/26 03:12:21] d2.evaluation.evaluator INFO: Inference done 4745/5258. Dataloading: 0.0010 s/iter. Inference: 0.0388 s/iter. Eval: 0.0004 s/iter. Total: 0.0403 s/iter. ETA=0:00:20 [10/26 03:12:26] d2.evaluation.evaluator INFO: Inference done 4860/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:00:16 [10/26 03:12:31] d2.evaluation.evaluator INFO: Inference done 4981/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:00:11 [10/26 03:12:36] d2.evaluation.evaluator INFO: Inference done 5101/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:00:06 [10/26 03:12:41] d2.evaluation.evaluator INFO: Inference done 5228/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:00:01 [10/26 03:12:42] d2.evaluation.evaluator INFO: Total inference time: 0:03:32.449347 (0.040443 s / iter per device, on 1 devices) [10/26 03:12:42] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:24 (0.038965 s / iter per device, on 1 devices) [10/26 03:12:42] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 03:13:41] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 03:13:41] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 03:13:41] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 03:13:41] d2.evaluation.testing INFO: copypaste: 5.8516,12.5452,5.2557 [10/26 03:13:43] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 03:13:43] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 03:13:43] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 03:13:43] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 03:13:44] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0513 s/iter. Eval: 0.0005 s/iter. Total: 0.0527 s/iter. ETA=0:04:36 [10/26 03:13:49] d2.evaluation.evaluator INFO: Inference done 111/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:04:18 [10/26 03:13:54] d2.evaluation.evaluator INFO: Inference done 214/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:04:10 [10/26 03:13:59] d2.evaluation.evaluator INFO: Inference done 315/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:04:05 [10/26 03:14:04] d2.evaluation.evaluator INFO: Inference done 416/5258. Dataloading: 0.0010 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:04:00 [10/26 03:14:09] d2.evaluation.evaluator INFO: Inference done 516/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:56 [10/26 03:14:15] d2.evaluation.evaluator INFO: Inference done 619/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:50 [10/26 03:14:20] d2.evaluation.evaluator INFO: Inference done 724/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:44 [10/26 03:14:25] d2.evaluation.evaluator INFO: Inference done 825/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:39 [10/26 03:14:30] d2.evaluation.evaluator INFO: Inference done 926/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:34 [10/26 03:14:35] d2.evaluation.evaluator INFO: Inference done 1027/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:29 [10/26 03:14:40] d2.evaluation.evaluator INFO: Inference done 1127/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:24 [10/26 03:14:45] d2.evaluation.evaluator INFO: Inference done 1229/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:19 [10/26 03:14:50] d2.evaluation.evaluator INFO: Inference done 1330/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:14 [10/26 03:14:55] d2.evaluation.evaluator INFO: Inference done 1433/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:09 [10/26 03:15:00] d2.evaluation.evaluator INFO: Inference done 1534/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:04 [10/26 03:15:05] d2.evaluation.evaluator INFO: Inference done 1634/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:02:59 [10/26 03:15:10] d2.evaluation.evaluator INFO: Inference done 1734/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:02:54 [10/26 03:15:15] d2.evaluation.evaluator INFO: Inference done 1839/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:49 [10/26 03:15:20] d2.evaluation.evaluator INFO: Inference done 1942/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:44 [10/26 03:15:25] d2.evaluation.evaluator INFO: Inference done 2043/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:39 [10/26 03:15:30] d2.evaluation.evaluator INFO: Inference done 2144/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:34 [10/26 03:15:35] d2.evaluation.evaluator INFO: Inference done 2247/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:28 [10/26 03:15:40] d2.evaluation.evaluator INFO: Inference done 2347/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:24 [10/26 03:15:45] d2.evaluation.evaluator INFO: Inference done 2447/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:19 [10/26 03:15:50] d2.evaluation.evaluator INFO: Inference done 2550/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:14 [10/26 03:15:55] d2.evaluation.evaluator INFO: Inference done 2652/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:08 [10/26 03:16:00] d2.evaluation.evaluator INFO: Inference done 2755/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:03 [10/26 03:16:05] d2.evaluation.evaluator INFO: Inference done 2857/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:58 [10/26 03:16:10] d2.evaluation.evaluator INFO: Inference done 2957/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:53 [10/26 03:16:15] d2.evaluation.evaluator INFO: Inference done 3058/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:48 [10/26 03:16:20] d2.evaluation.evaluator INFO: Inference done 3158/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:43 [10/26 03:16:25] d2.evaluation.evaluator INFO: Inference done 3261/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:38 [10/26 03:16:30] d2.evaluation.evaluator INFO: Inference done 3364/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:33 [10/26 03:16:35] d2.evaluation.evaluator INFO: Inference done 3465/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:28 [10/26 03:16:40] d2.evaluation.evaluator INFO: Inference done 3566/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:23 [10/26 03:16:45] d2.evaluation.evaluator INFO: Inference done 3668/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:18 [10/26 03:16:50] d2.evaluation.evaluator INFO: Inference done 3770/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:13 [10/26 03:16:55] d2.evaluation.evaluator INFO: Inference done 3873/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:08 [10/26 03:17:00] d2.evaluation.evaluator INFO: Inference done 3974/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:03 [10/26 03:17:05] d2.evaluation.evaluator INFO: Inference done 4075/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:58 [10/26 03:17:10] d2.evaluation.evaluator INFO: Inference done 4178/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:53 [10/26 03:17:15] d2.evaluation.evaluator INFO: Inference done 4277/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:48 [10/26 03:17:20] d2.evaluation.evaluator INFO: Inference done 4380/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:43 [10/26 03:17:25] d2.evaluation.evaluator INFO: Inference done 4481/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:38 [10/26 03:17:30] d2.evaluation.evaluator INFO: Inference done 4584/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:33 [10/26 03:17:35] d2.evaluation.evaluator INFO: Inference done 4688/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:28 [10/26 03:17:40] d2.evaluation.evaluator INFO: Inference done 4790/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:23 [10/26 03:17:46] d2.evaluation.evaluator INFO: Inference done 4891/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:18 [10/26 03:17:51] d2.evaluation.evaluator INFO: Inference done 4992/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:13 [10/26 03:17:56] d2.evaluation.evaluator INFO: Inference done 5094/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:08 [10/26 03:18:01] d2.evaluation.evaluator INFO: Inference done 5196/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:03 [10/26 03:18:04] d2.evaluation.evaluator INFO: Total inference time: 0:04:19.583553 (0.049416 s / iter per device, on 1 devices) [10/26 03:18:04] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:11 (0.047881 s / iter per device, on 1 devices) [10/26 03:18:04] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 03:19:16] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 03:19:16] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 03:19:16] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 03:19:16] d2.evaluation.testing INFO: copypaste: 6.0865,12.8302,5.6076 [10/26 03:19:16] d2.utils.events INFO: eta: 18:05:25 iter: 19599 total_loss: 2.397 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04152 loss_box_reg_sup: 0.368 loss_rpn_cls_sup: 0.03276 loss_rpn_loc_sup: 0.3027 loss_cls_unsup: 0.2752 loss_box_reg_unsup: 0.4902 loss_rpn_cls_unsup: 0.3384 loss_rpn_loc_unsup: 0.5229 time: 5.9795 data_time: 0.7761 lr: 0.016 max_mem: 18367M [10/26 03:21:26] d2.utils.events INFO: eta: 18:03:20 iter: 19619 total_loss: 2.408 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03913 loss_box_reg_sup: 0.329 loss_rpn_cls_sup: 0.03979 loss_rpn_loc_sup: 0.2974 loss_cls_unsup: 0.281 loss_box_reg_unsup: 0.5301 loss_rpn_cls_unsup: 0.3526 loss_rpn_loc_unsup: 0.5423 time: 5.9801 data_time: 0.8413 lr: 0.016 max_mem: 18367M [10/26 03:23:35] d2.utils.events INFO: eta: 18:01:43 iter: 19639 total_loss: 2.43 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03778 loss_box_reg_sup: 0.3521 loss_rpn_cls_sup: 0.03517 loss_rpn_loc_sup: 0.3151 loss_cls_unsup: 0.2739 loss_box_reg_unsup: 0.516 loss_rpn_cls_unsup: 0.337 loss_rpn_loc_unsup: 0.5295 time: 5.9805 data_time: 0.8201 lr: 0.016 max_mem: 18367M [10/26 03:25:44] d2.utils.events INFO: eta: 18:00:12 iter: 19659 total_loss: 2.517 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0405 loss_box_reg_sup: 0.3996 loss_rpn_cls_sup: 0.03799 loss_rpn_loc_sup: 0.3056 loss_cls_unsup: 0.2625 loss_box_reg_unsup: 0.5228 loss_rpn_cls_unsup: 0.352 loss_rpn_loc_unsup: 0.5052 time: 5.9810 data_time: 0.8451 lr: 0.016 max_mem: 18367M [10/26 03:27:54] d2.utils.events INFO: eta: 17:58:07 iter: 19679 total_loss: 2.352 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04111 loss_box_reg_sup: 0.3552 loss_rpn_cls_sup: 0.03393 loss_rpn_loc_sup: 0.3017 loss_cls_unsup: 0.2751 loss_box_reg_unsup: 0.4893 loss_rpn_cls_unsup: 0.3384 loss_rpn_loc_unsup: 0.5168 time: 5.9815 data_time: 0.8193 lr: 0.016 max_mem: 18367M [10/26 03:29:59] d2.utils.events INFO: eta: 17:55:49 iter: 19699 total_loss: 2.326 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03616 loss_box_reg_sup: 0.3126 loss_rpn_cls_sup: 0.03285 loss_rpn_loc_sup: 0.2872 loss_cls_unsup: 0.2665 loss_box_reg_unsup: 0.5098 loss_rpn_cls_unsup: 0.3482 loss_rpn_loc_unsup: 0.5124 time: 5.9818 data_time: 0.8168 lr: 0.016 max_mem: 18367M [10/26 03:32:27] d2.utils.events INFO: eta: 17:54:02 iter: 19719 total_loss: 2.366 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03912 loss_box_reg_sup: 0.3425 loss_rpn_cls_sup: 0.03634 loss_rpn_loc_sup: 0.3135 loss_cls_unsup: 0.2681 loss_box_reg_unsup: 0.5008 loss_rpn_cls_unsup: 0.3452 loss_rpn_loc_unsup: 0.4843 time: 5.9833 data_time: 0.8389 lr: 0.016 max_mem: 18367M [10/26 03:34:31] d2.utils.events INFO: eta: 17:51:46 iter: 19739 total_loss: 2.424 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04029 loss_box_reg_sup: 0.3549 loss_rpn_cls_sup: 0.03521 loss_rpn_loc_sup: 0.3144 loss_cls_unsup: 0.2897 loss_box_reg_unsup: 0.5229 loss_rpn_cls_unsup: 0.3609 loss_rpn_loc_unsup: 0.5199 time: 5.9835 data_time: 0.7875 lr: 0.016 max_mem: 18367M [10/26 03:36:55] d2.utils.events INFO: eta: 17:50:11 iter: 19759 total_loss: 2.452 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04344 loss_box_reg_sup: 0.3575 loss_rpn_cls_sup: 0.0387 loss_rpn_loc_sup: 0.3222 loss_cls_unsup: 0.2813 loss_box_reg_unsup: 0.5293 loss_rpn_cls_unsup: 0.3423 loss_rpn_loc_unsup: 0.5471 time: 5.9847 data_time: 0.7896 lr: 0.016 max_mem: 18367M [10/26 03:39:07] d2.utils.events INFO: eta: 17:48:07 iter: 19779 total_loss: 2.383 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04145 loss_box_reg_sup: 0.3584 loss_rpn_cls_sup: 0.03475 loss_rpn_loc_sup: 0.3048 loss_cls_unsup: 0.273 loss_box_reg_unsup: 0.4984 loss_rpn_cls_unsup: 0.3545 loss_rpn_loc_unsup: 0.5466 time: 5.9853 data_time: 0.8261 lr: 0.016 max_mem: 18367M [10/26 03:41:22] d2.utils.events INFO: eta: 17:46:16 iter: 19799 total_loss: 2.472 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03938 loss_box_reg_sup: 0.3592 loss_rpn_cls_sup: 0.03261 loss_rpn_loc_sup: 0.3093 loss_cls_unsup: 0.2817 loss_box_reg_unsup: 0.5075 loss_rpn_cls_unsup: 0.3431 loss_rpn_loc_unsup: 0.5403 time: 5.9861 data_time: 0.8371 lr: 0.016 max_mem: 18367M [10/26 03:43:30] d2.utils.events INFO: eta: 17:44:11 iter: 19819 total_loss: 2.445 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04282 loss_box_reg_sup: 0.3613 loss_rpn_cls_sup: 0.03638 loss_rpn_loc_sup: 0.2994 loss_cls_unsup: 0.2795 loss_box_reg_unsup: 0.5127 loss_rpn_cls_unsup: 0.356 loss_rpn_loc_unsup: 0.5238 time: 5.9865 data_time: 0.7794 lr: 0.016 max_mem: 18367M [10/26 03:45:45] d2.utils.events INFO: eta: 17:42:06 iter: 19839 total_loss: 2.353 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03554 loss_box_reg_sup: 0.3226 loss_rpn_cls_sup: 0.03256 loss_rpn_loc_sup: 0.3032 loss_cls_unsup: 0.2794 loss_box_reg_unsup: 0.4965 loss_rpn_cls_unsup: 0.3556 loss_rpn_loc_unsup: 0.5233 time: 5.9873 data_time: 0.8238 lr: 0.016 max_mem: 18367M [10/26 03:47:57] d2.utils.events INFO: eta: 17:39:53 iter: 19859 total_loss: 2.3 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03562 loss_box_reg_sup: 0.3153 loss_rpn_cls_sup: 0.03372 loss_rpn_loc_sup: 0.2922 loss_cls_unsup: 0.285 loss_box_reg_unsup: 0.4876 loss_rpn_cls_unsup: 0.3415 loss_rpn_loc_unsup: 0.486 time: 5.9879 data_time: 0.8298 lr: 0.016 max_mem: 18367M [10/26 03:50:07] d2.utils.events INFO: eta: 17:37:42 iter: 19879 total_loss: 2.369 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03784 loss_box_reg_sup: 0.3443 loss_rpn_cls_sup: 0.03039 loss_rpn_loc_sup: 0.3059 loss_cls_unsup: 0.2732 loss_box_reg_unsup: 0.5244 loss_rpn_cls_unsup: 0.3474 loss_rpn_loc_unsup: 0.5168 time: 5.9884 data_time: 0.8191 lr: 0.016 max_mem: 18367M [10/26 03:52:41] d2.utils.events INFO: eta: 17:35:56 iter: 19899 total_loss: 2.363 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04238 loss_box_reg_sup: 0.3587 loss_rpn_cls_sup: 0.0345 loss_rpn_loc_sup: 0.3307 loss_cls_unsup: 0.2866 loss_box_reg_unsup: 0.4975 loss_rpn_cls_unsup: 0.3616 loss_rpn_loc_unsup: 0.5059 time: 5.9901 data_time: 0.8553 lr: 0.016 max_mem: 18367M [10/26 03:55:04] d2.utils.events INFO: eta: 17:33:51 iter: 19919 total_loss: 2.39 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04066 loss_box_reg_sup: 0.3383 loss_rpn_cls_sup: 0.03639 loss_rpn_loc_sup: 0.2921 loss_cls_unsup: 0.2773 loss_box_reg_unsup: 0.5035 loss_rpn_cls_unsup: 0.3591 loss_rpn_loc_unsup: 0.5331 time: 5.9913 data_time: 0.8377 lr: 0.016 max_mem: 18367M [10/26 03:57:14] d2.utils.events INFO: eta: 17:32:07 iter: 19939 total_loss: 2.399 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03955 loss_box_reg_sup: 0.3385 loss_rpn_cls_sup: 0.03537 loss_rpn_loc_sup: 0.294 loss_cls_unsup: 0.2822 loss_box_reg_unsup: 0.4994 loss_rpn_cls_unsup: 0.3394 loss_rpn_loc_unsup: 0.5546 time: 5.9918 data_time: 0.8458 lr: 0.016 max_mem: 18367M [10/26 03:59:33] d2.utils.events INFO: eta: 17:30:07 iter: 19959 total_loss: 2.451 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04202 loss_box_reg_sup: 0.4006 loss_rpn_cls_sup: 0.0379 loss_rpn_loc_sup: 0.3173 loss_cls_unsup: 0.2767 loss_box_reg_unsup: 0.4887 loss_rpn_cls_unsup: 0.3427 loss_rpn_loc_unsup: 0.5096 time: 5.9928 data_time: 0.8596 lr: 0.016 max_mem: 18367M [10/26 04:01:39] d2.utils.events INFO: eta: 17:28:02 iter: 19979 total_loss: 2.348 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03887 loss_box_reg_sup: 0.3457 loss_rpn_cls_sup: 0.03306 loss_rpn_loc_sup: 0.32 loss_cls_unsup: 0.2657 loss_box_reg_unsup: 0.5162 loss_rpn_cls_unsup: 0.3438 loss_rpn_loc_unsup: 0.4959 time: 5.9931 data_time: 0.8222 lr: 0.016 max_mem: 18367M [10/26 04:03:47] fvcore.common.checkpoint INFO: Saving checkpoint to ./output/k2bdd/model_0019999.pth [10/26 04:03:55] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 04:03:55] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 04:03:55] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 04:03:55] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 04:03:56] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0368 s/iter. Eval: 0.0006 s/iter. Total: 0.0383 s/iter. ETA=0:03:20 [10/26 04:04:01] d2.evaluation.evaluator INFO: Inference done 136/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0006 s/iter. Total: 0.0402 s/iter. ETA=0:03:25 [10/26 04:04:06] d2.evaluation.evaluator INFO: Inference done 264/5258. Dataloading: 0.0010 s/iter. Inference: 0.0381 s/iter. Eval: 0.0005 s/iter. Total: 0.0398 s/iter. ETA=0:03:18 [10/26 04:04:11] d2.evaluation.evaluator INFO: Inference done 393/5258. Dataloading: 0.0011 s/iter. 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ETA=0:00:12 [10/26 04:07:22] d2.evaluation.evaluator INFO: Inference done 5072/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:00:07 [10/26 04:07:27] d2.evaluation.evaluator INFO: Inference done 5186/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:00:02 [10/26 04:07:30] d2.evaluation.evaluator INFO: Total inference time: 0:03:34.646813 (0.040862 s / iter per device, on 1 devices) [10/26 04:07:30] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:26 (0.039245 s / iter per device, on 1 devices) [10/26 04:07:30] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 04:08:56] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 04:08:56] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 04:08:56] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 04:08:56] d2.evaluation.testing INFO: copypaste: 5.7723,12.6040,4.9736 [10/26 04:08:57] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 04:08:57] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 04:08:57] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 04:08:57] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 04:08:59] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:04:20 [10/26 04:09:04] d2.evaluation.evaluator INFO: Inference done 113/5258. Dataloading: 0.0011 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:04:12 [10/26 04:09:09] d2.evaluation.evaluator INFO: Inference done 217/5258. Dataloading: 0.0010 s/iter. Inference: 0.0472 s/iter. Eval: 0.0005 s/iter. Total: 0.0488 s/iter. ETA=0:04:05 [10/26 04:09:14] d2.evaluation.evaluator INFO: Inference done 319/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0490 s/iter. ETA=0:04:02 [10/26 04:09:19] d2.evaluation.evaluator INFO: Inference done 419/5258. Dataloading: 0.0011 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:58 [10/26 04:09:24] d2.evaluation.evaluator INFO: Inference done 516/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:56 [10/26 04:09:29] d2.evaluation.evaluator INFO: Inference done 617/5258. 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ETA=0:00:18 [10/26 04:13:05] d2.evaluation.evaluator INFO: Inference done 4980/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:13 [10/26 04:13:10] d2.evaluation.evaluator INFO: Inference done 5082/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:08 [10/26 04:13:15] d2.evaluation.evaluator INFO: Inference done 5183/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:03 [10/26 04:13:19] d2.evaluation.evaluator INFO: Total inference time: 0:04:20.365741 (0.049565 s / iter per device, on 1 devices) [10/26 04:13:19] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:12 (0.048003 s / iter per device, on 1 devices) [10/26 04:13:19] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 04:14:31] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 04:14:31] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 04:14:31] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 04:14:31] d2.evaluation.testing INFO: copypaste: 6.0876,12.8092,5.5757 [10/26 04:14:31] d2.utils.events INFO: eta: 17:25:51 iter: 19999 total_loss: 2.472 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03907 loss_box_reg_sup: 0.3718 loss_rpn_cls_sup: 0.03498 loss_rpn_loc_sup: 0.3168 loss_cls_unsup: 0.2708 loss_box_reg_unsup: 0.5056 loss_rpn_cls_unsup: 0.3551 loss_rpn_loc_unsup: 0.5542 time: 5.9935 data_time: 0.8124 lr: 0.016 max_mem: 18367M [10/26 04:16:47] d2.utils.events INFO: eta: 17:23:49 iter: 20019 total_loss: 2.378 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0381 loss_box_reg_sup: 0.3628 loss_rpn_cls_sup: 0.03393 loss_rpn_loc_sup: 0.2964 loss_cls_unsup: 0.2795 loss_box_reg_unsup: 0.5284 loss_rpn_cls_unsup: 0.3495 loss_rpn_loc_unsup: 0.5035 time: 5.9943 data_time: 0.8229 lr: 0.016 max_mem: 18367M [10/26 04:18:58] d2.utils.events INFO: eta: 17:21:42 iter: 20039 total_loss: 2.378 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0398 loss_box_reg_sup: 0.3403 loss_rpn_cls_sup: 0.03651 loss_rpn_loc_sup: 0.2968 loss_cls_unsup: 0.2739 loss_box_reg_unsup: 0.4994 loss_rpn_cls_unsup: 0.3237 loss_rpn_loc_unsup: 0.5406 time: 5.9949 data_time: 0.8418 lr: 0.016 max_mem: 18367M [10/26 04:21:10] d2.utils.events INFO: eta: 17:19:32 iter: 20059 total_loss: 2.546 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04027 loss_box_reg_sup: 0.3605 loss_rpn_cls_sup: 0.03649 loss_rpn_loc_sup: 0.3173 loss_cls_unsup: 0.2662 loss_box_reg_unsup: 0.5373 loss_rpn_cls_unsup: 0.3672 loss_rpn_loc_unsup: 0.6055 time: 5.9954 data_time: 0.8059 lr: 0.016 max_mem: 18367M [10/26 04:23:15] d2.utils.events INFO: eta: 17:17:12 iter: 20079 total_loss: 2.463 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04279 loss_box_reg_sup: 0.3517 loss_rpn_cls_sup: 0.03735 loss_rpn_loc_sup: 0.3118 loss_cls_unsup: 0.2878 loss_box_reg_unsup: 0.5174 loss_rpn_cls_unsup: 0.3324 loss_rpn_loc_unsup: 0.5496 time: 5.9957 data_time: 0.8278 lr: 0.016 max_mem: 18367M [10/26 04:25:32] d2.utils.events INFO: eta: 17:15:26 iter: 20099 total_loss: 2.429 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03883 loss_box_reg_sup: 0.3467 loss_rpn_cls_sup: 0.0355 loss_rpn_loc_sup: 0.3137 loss_cls_unsup: 0.2714 loss_box_reg_unsup: 0.5244 loss_rpn_cls_unsup: 0.3448 loss_rpn_loc_unsup: 0.4796 time: 5.9965 data_time: 0.8201 lr: 0.016 max_mem: 18367M [10/26 04:27:46] d2.utils.events INFO: eta: 17:13:39 iter: 20119 total_loss: 2.44 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03975 loss_box_reg_sup: 0.359 loss_rpn_cls_sup: 0.03871 loss_rpn_loc_sup: 0.3091 loss_cls_unsup: 0.2751 loss_box_reg_unsup: 0.5005 loss_rpn_cls_unsup: 0.3347 loss_rpn_loc_unsup: 0.5216 time: 5.9973 data_time: 0.8657 lr: 0.016 max_mem: 18367M [10/26 04:29:54] d2.utils.events INFO: eta: 17:11:28 iter: 20139 total_loss: 2.387 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04353 loss_box_reg_sup: 0.3615 loss_rpn_cls_sup: 0.03356 loss_rpn_loc_sup: 0.3113 loss_cls_unsup: 0.2745 loss_box_reg_unsup: 0.4986 loss_rpn_cls_unsup: 0.3547 loss_rpn_loc_unsup: 0.4746 time: 5.9976 data_time: 0.8041 lr: 0.016 max_mem: 18367M [10/26 04:32:04] d2.utils.events INFO: eta: 17:09:11 iter: 20159 total_loss: 2.425 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04069 loss_box_reg_sup: 0.3541 loss_rpn_cls_sup: 0.03431 loss_rpn_loc_sup: 0.312 loss_cls_unsup: 0.2917 loss_box_reg_unsup: 0.4995 loss_rpn_cls_unsup: 0.331 loss_rpn_loc_unsup: 0.5057 time: 5.9982 data_time: 0.7971 lr: 0.016 max_mem: 18367M [10/26 04:34:22] d2.utils.events INFO: eta: 17:07:04 iter: 20179 total_loss: 2.425 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.043 loss_box_reg_sup: 0.3904 loss_rpn_cls_sup: 0.03745 loss_rpn_loc_sup: 0.3135 loss_cls_unsup: 0.2781 loss_box_reg_unsup: 0.4913 loss_rpn_cls_unsup: 0.3347 loss_rpn_loc_unsup: 0.5398 time: 5.9991 data_time: 0.8349 lr: 0.016 max_mem: 18367M [10/26 04:36:30] d2.utils.events INFO: eta: 17:04:59 iter: 20199 total_loss: 2.393 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0426 loss_box_reg_sup: 0.3584 loss_rpn_cls_sup: 0.03457 loss_rpn_loc_sup: 0.3239 loss_cls_unsup: 0.2734 loss_box_reg_unsup: 0.4871 loss_rpn_cls_unsup: 0.3325 loss_rpn_loc_unsup: 0.5163 time: 5.9994 data_time: 0.8491 lr: 0.016 max_mem: 18367M [10/26 04:38:39] d2.utils.events INFO: eta: 17:02:46 iter: 20219 total_loss: 2.525 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04227 loss_box_reg_sup: 0.3794 loss_rpn_cls_sup: 0.03726 loss_rpn_loc_sup: 0.312 loss_cls_unsup: 0.2751 loss_box_reg_unsup: 0.5171 loss_rpn_cls_unsup: 0.3469 loss_rpn_loc_unsup: 0.551 time: 5.9999 data_time: 0.8283 lr: 0.016 max_mem: 18367M [10/26 04:40:45] d2.utils.events INFO: eta: 17:01:01 iter: 20239 total_loss: 2.45 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04123 loss_box_reg_sup: 0.3549 loss_rpn_cls_sup: 0.03842 loss_rpn_loc_sup: 0.3284 loss_cls_unsup: 0.2632 loss_box_reg_unsup: 0.5174 loss_rpn_cls_unsup: 0.3296 loss_rpn_loc_unsup: 0.5389 time: 6.0002 data_time: 0.8233 lr: 0.016 max_mem: 18367M [10/26 04:42:59] d2.utils.events INFO: eta: 16:58:56 iter: 20259 total_loss: 2.388 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04091 loss_box_reg_sup: 0.3435 loss_rpn_cls_sup: 0.03244 loss_rpn_loc_sup: 0.2883 loss_cls_unsup: 0.2712 loss_box_reg_unsup: 0.521 loss_rpn_cls_unsup: 0.3414 loss_rpn_loc_unsup: 0.577 time: 6.0009 data_time: 0.8124 lr: 0.016 max_mem: 18367M [10/26 04:45:10] d2.utils.events INFO: eta: 16:56:51 iter: 20279 total_loss: 2.494 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04149 loss_box_reg_sup: 0.3837 loss_rpn_cls_sup: 0.0349 loss_rpn_loc_sup: 0.3166 loss_cls_unsup: 0.2718 loss_box_reg_unsup: 0.5144 loss_rpn_cls_unsup: 0.3632 loss_rpn_loc_unsup: 0.5413 time: 6.0014 data_time: 0.8223 lr: 0.016 max_mem: 18367M [10/26 04:47:18] d2.utils.events INFO: eta: 16:54:49 iter: 20299 total_loss: 2.326 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04042 loss_box_reg_sup: 0.3372 loss_rpn_cls_sup: 0.03635 loss_rpn_loc_sup: 0.2962 loss_cls_unsup: 0.265 loss_box_reg_unsup: 0.5064 loss_rpn_cls_unsup: 0.3418 loss_rpn_loc_unsup: 0.508 time: 6.0018 data_time: 0.8237 lr: 0.016 max_mem: 18367M [10/26 04:49:27] d2.utils.events INFO: eta: 16:52:28 iter: 20319 total_loss: 2.391 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04055 loss_box_reg_sup: 0.34 loss_rpn_cls_sup: 0.03513 loss_rpn_loc_sup: 0.312 loss_cls_unsup: 0.2752 loss_box_reg_unsup: 0.5485 loss_rpn_cls_unsup: 0.3465 loss_rpn_loc_unsup: 0.5005 time: 6.0022 data_time: 0.8056 lr: 0.016 max_mem: 18367M [10/26 04:51:40] d2.utils.events INFO: eta: 16:50:24 iter: 20339 total_loss: 2.434 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03645 loss_box_reg_sup: 0.3373 loss_rpn_cls_sup: 0.03531 loss_rpn_loc_sup: 0.2907 loss_cls_unsup: 0.2755 loss_box_reg_unsup: 0.5398 loss_rpn_cls_unsup: 0.3547 loss_rpn_loc_unsup: 0.5589 time: 6.0029 data_time: 0.8682 lr: 0.016 max_mem: 18367M [10/26 04:53:53] d2.utils.events INFO: eta: 16:48:33 iter: 20359 total_loss: 2.426 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03787 loss_box_reg_sup: 0.3446 loss_rpn_cls_sup: 0.03479 loss_rpn_loc_sup: 0.2962 loss_cls_unsup: 0.2766 loss_box_reg_unsup: 0.5119 loss_rpn_cls_unsup: 0.3545 loss_rpn_loc_unsup: 0.5468 time: 6.0035 data_time: 0.8142 lr: 0.016 max_mem: 18367M [10/26 04:56:34] d2.utils.events INFO: eta: 16:46:47 iter: 20379 total_loss: 2.43 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0396 loss_box_reg_sup: 0.386 loss_rpn_cls_sup: 0.03487 loss_rpn_loc_sup: 0.3214 loss_cls_unsup: 0.2712 loss_box_reg_unsup: 0.5373 loss_rpn_cls_unsup: 0.3472 loss_rpn_loc_unsup: 0.5296 time: 6.0055 data_time: 0.8167 lr: 0.016 max_mem: 18367M [10/26 04:58:50] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 04:58:50] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 04:58:50] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 04:58:50] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 04:58:52] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0522 s/iter. Eval: 0.0004 s/iter. Total: 0.0535 s/iter. ETA=0:04:40 [10/26 04:58:57] d2.evaluation.evaluator INFO: Inference done 133/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:03:34 [10/26 04:59:02] d2.evaluation.evaluator INFO: Inference done 250/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:03:32 [10/26 04:59:07] d2.evaluation.evaluator INFO: Inference done 375/5258. Dataloading: 0.0010 s/iter. 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ETA=0:02:53 [10/26 04:59:37] d2.evaluation.evaluator INFO: Inference done 1120/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:02:48 [10/26 04:59:42] d2.evaluation.evaluator INFO: Inference done 1244/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:02:43 [10/26 04:59:47] d2.evaluation.evaluator INFO: Inference done 1357/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:02:40 [10/26 04:59:52] d2.evaluation.evaluator INFO: Inference done 1477/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:02:35 [10/26 04:59:57] d2.evaluation.evaluator INFO: Inference done 1593/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:02:31 [10/26 05:00:02] d2.evaluation.evaluator INFO: Inference done 1712/5258. 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ETA=0:01:37 [10/26 05:00:57] d2.evaluation.evaluator INFO: Inference done 3031/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:01:32 [10/26 05:01:02] d2.evaluation.evaluator INFO: Inference done 3158/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:01:27 [10/26 05:01:07] d2.evaluation.evaluator INFO: Inference done 3285/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:01:21 [10/26 05:01:12] d2.evaluation.evaluator INFO: Inference done 3409/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:01:16 [10/26 05:01:17] d2.evaluation.evaluator INFO: Inference done 3527/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:01:11 [10/26 05:01:22] d2.evaluation.evaluator INFO: Inference done 3656/5258. 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ETA=0:00:16 [10/26 05:02:18] d2.evaluation.evaluator INFO: Inference done 4984/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:00:11 [10/26 05:02:23] d2.evaluation.evaluator INFO: Inference done 5102/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:00:06 [10/26 05:02:28] d2.evaluation.evaluator INFO: Inference done 5224/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:00:01 [10/26 05:02:29] d2.evaluation.evaluator INFO: Total inference time: 0:03:37.708223 (0.041445 s / iter per device, on 1 devices) [10/26 05:02:29] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:30 (0.039980 s / iter per device, on 1 devices) [10/26 05:02:29] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 05:03:20] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 05:03:20] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 05:03:20] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 05:03:20] d2.evaluation.testing INFO: copypaste: 5.6078,12.2984,4.8395 [10/26 05:03:22] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 05:03:22] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 05:03:22] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 05:03:22] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 05:03:23] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0504 s/iter. Eval: 0.0005 s/iter. Total: 0.0518 s/iter. ETA=0:04:31 [10/26 05:03:28] d2.evaluation.evaluator INFO: Inference done 111/5258. Dataloading: 0.0012 s/iter. Inference: 0.0488 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:04:19 [10/26 05:03:33] d2.evaluation.evaluator INFO: Inference done 212/5258. Dataloading: 0.0012 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:04:13 [10/26 05:03:38] d2.evaluation.evaluator INFO: Inference done 313/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:04:07 [10/26 05:03:43] d2.evaluation.evaluator INFO: Inference done 416/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:04:00 [10/26 05:03:48] d2.evaluation.evaluator INFO: Inference done 518/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:55 [10/26 05:03:53] d2.evaluation.evaluator INFO: Inference done 620/5258. 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ETA=0:00:19 [10/26 05:07:29] d2.evaluation.evaluator INFO: Inference done 4974/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:14 [10/26 05:07:34] d2.evaluation.evaluator INFO: Inference done 5076/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:09 [10/26 05:07:39] d2.evaluation.evaluator INFO: Inference done 5179/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:03 [10/26 05:07:43] d2.evaluation.evaluator INFO: Total inference time: 0:04:20.567073 (0.049603 s / iter per device, on 1 devices) [10/26 05:07:43] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:12 (0.048076 s / iter per device, on 1 devices) [10/26 05:07:43] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 05:08:56] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 05:08:56] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 05:08:56] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 05:08:56] d2.evaluation.testing INFO: copypaste: 6.0898,12.8462,5.5345 [10/26 05:08:56] d2.utils.events INFO: eta: 16:44:52 iter: 20399 total_loss: 2.376 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03614 loss_box_reg_sup: 0.3363 loss_rpn_cls_sup: 0.03509 loss_rpn_loc_sup: 0.3176 loss_cls_unsup: 0.2656 loss_box_reg_unsup: 0.5063 loss_rpn_cls_unsup: 0.3301 loss_rpn_loc_unsup: 0.5412 time: 6.0060 data_time: 0.8404 lr: 0.016 max_mem: 18367M [10/26 05:11:10] d2.utils.events INFO: eta: 16:42:41 iter: 20419 total_loss: 2.445 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03449 loss_box_reg_sup: 0.3361 loss_rpn_cls_sup: 0.03256 loss_rpn_loc_sup: 0.3 loss_cls_unsup: 0.2654 loss_box_reg_unsup: 0.5409 loss_rpn_cls_unsup: 0.3448 loss_rpn_loc_unsup: 0.5741 time: 6.0067 data_time: 0.8487 lr: 0.016 max_mem: 18367M [10/26 05:13:19] d2.utils.events INFO: eta: 16:40:01 iter: 20439 total_loss: 2.395 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04019 loss_box_reg_sup: 0.3539 loss_rpn_cls_sup: 0.03529 loss_rpn_loc_sup: 0.3092 loss_cls_unsup: 0.2772 loss_box_reg_unsup: 0.528 loss_rpn_cls_unsup: 0.3413 loss_rpn_loc_unsup: 0.5387 time: 6.0071 data_time: 0.7855 lr: 0.016 max_mem: 18367M [10/26 05:15:25] d2.utils.events INFO: eta: 16:37:38 iter: 20459 total_loss: 2.288 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03417 loss_box_reg_sup: 0.3124 loss_rpn_cls_sup: 0.03403 loss_rpn_loc_sup: 0.2982 loss_cls_unsup: 0.2665 loss_box_reg_unsup: 0.4995 loss_rpn_cls_unsup: 0.338 loss_rpn_loc_unsup: 0.5214 time: 6.0074 data_time: 0.8179 lr: 0.016 max_mem: 18367M [10/26 05:17:36] d2.utils.events INFO: eta: 16:35:25 iter: 20479 total_loss: 2.404 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04189 loss_box_reg_sup: 0.3397 loss_rpn_cls_sup: 0.03629 loss_rpn_loc_sup: 0.3202 loss_cls_unsup: 0.2722 loss_box_reg_unsup: 0.5285 loss_rpn_cls_unsup: 0.3405 loss_rpn_loc_unsup: 0.4937 time: 6.0079 data_time: 0.8313 lr: 0.016 max_mem: 18367M [10/26 05:19:46] d2.utils.events INFO: eta: 16:33:27 iter: 20499 total_loss: 2.52 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04166 loss_box_reg_sup: 0.3522 loss_rpn_cls_sup: 0.03838 loss_rpn_loc_sup: 0.325 loss_cls_unsup: 0.2738 loss_box_reg_unsup: 0.5235 loss_rpn_cls_unsup: 0.354 loss_rpn_loc_unsup: 0.5921 time: 6.0084 data_time: 0.8732 lr: 0.016 max_mem: 18367M [10/26 05:21:54] d2.utils.events INFO: eta: 16:31:21 iter: 20519 total_loss: 2.433 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03954 loss_box_reg_sup: 0.3679 loss_rpn_cls_sup: 0.03892 loss_rpn_loc_sup: 0.3204 loss_cls_unsup: 0.2697 loss_box_reg_unsup: 0.5164 loss_rpn_cls_unsup: 0.3321 loss_rpn_loc_unsup: 0.5301 time: 6.0088 data_time: 0.8529 lr: 0.016 max_mem: 18367M [10/26 05:24:12] d2.utils.events INFO: eta: 16:29:13 iter: 20539 total_loss: 2.489 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04206 loss_box_reg_sup: 0.378 loss_rpn_cls_sup: 0.03698 loss_rpn_loc_sup: 0.3198 loss_cls_unsup: 0.2803 loss_box_reg_unsup: 0.5087 loss_rpn_cls_unsup: 0.3607 loss_rpn_loc_unsup: 0.5802 time: 6.0097 data_time: 0.8616 lr: 0.016 max_mem: 18367M [10/26 05:26:25] d2.utils.events INFO: eta: 16:27:28 iter: 20559 total_loss: 2.394 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04411 loss_box_reg_sup: 0.3786 loss_rpn_cls_sup: 0.0372 loss_rpn_loc_sup: 0.3171 loss_cls_unsup: 0.2726 loss_box_reg_unsup: 0.5014 loss_rpn_cls_unsup: 0.3393 loss_rpn_loc_unsup: 0.5212 time: 6.0103 data_time: 0.8283 lr: 0.016 max_mem: 18367M [10/26 05:28:32] d2.utils.events INFO: eta: 16:25:56 iter: 20579 total_loss: 2.412 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03923 loss_box_reg_sup: 0.3518 loss_rpn_cls_sup: 0.03501 loss_rpn_loc_sup: 0.3043 loss_cls_unsup: 0.2805 loss_box_reg_unsup: 0.4877 loss_rpn_cls_unsup: 0.336 loss_rpn_loc_unsup: 0.4958 time: 6.0106 data_time: 0.8195 lr: 0.016 max_mem: 18367M [10/26 05:30:55] d2.utils.events INFO: eta: 16:23:58 iter: 20599 total_loss: 2.482 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03974 loss_box_reg_sup: 0.3675 loss_rpn_cls_sup: 0.03351 loss_rpn_loc_sup: 0.3174 loss_cls_unsup: 0.2567 loss_box_reg_unsup: 0.5135 loss_rpn_cls_unsup: 0.3281 loss_rpn_loc_unsup: 0.5451 time: 6.0117 data_time: 0.8308 lr: 0.016 max_mem: 18367M [10/26 05:33:04] d2.utils.events INFO: eta: 16:22:01 iter: 20619 total_loss: 2.413 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03748 loss_box_reg_sup: 0.3576 loss_rpn_cls_sup: 0.03461 loss_rpn_loc_sup: 0.3094 loss_cls_unsup: 0.2761 loss_box_reg_unsup: 0.4986 loss_rpn_cls_unsup: 0.3342 loss_rpn_loc_unsup: 0.5171 time: 6.0121 data_time: 0.9002 lr: 0.016 max_mem: 18367M [10/26 05:35:14] d2.utils.events INFO: eta: 16:19:50 iter: 20639 total_loss: 2.379 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03776 loss_box_reg_sup: 0.3539 loss_rpn_cls_sup: 0.0371 loss_rpn_loc_sup: 0.305 loss_cls_unsup: 0.2588 loss_box_reg_unsup: 0.5221 loss_rpn_cls_unsup: 0.3186 loss_rpn_loc_unsup: 0.4825 time: 6.0126 data_time: 0.8254 lr: 0.016 max_mem: 18367M [10/26 05:37:52] d2.utils.events INFO: eta: 16:17:50 iter: 20659 total_loss: 2.454 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04276 loss_box_reg_sup: 0.3669 loss_rpn_cls_sup: 0.03852 loss_rpn_loc_sup: 0.3228 loss_cls_unsup: 0.272 loss_box_reg_unsup: 0.5332 loss_rpn_cls_unsup: 0.3573 loss_rpn_loc_unsup: 0.5616 time: 6.0144 data_time: 0.8353 lr: 0.016 max_mem: 18367M [10/26 05:40:03] d2.utils.events INFO: eta: 16:15:50 iter: 20679 total_loss: 2.421 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03656 loss_box_reg_sup: 0.3483 loss_rpn_cls_sup: 0.03543 loss_rpn_loc_sup: 0.2985 loss_cls_unsup: 0.2767 loss_box_reg_unsup: 0.5109 loss_rpn_cls_unsup: 0.3502 loss_rpn_loc_unsup: 0.5599 time: 6.0150 data_time: 0.8260 lr: 0.016 max_mem: 18367M [10/26 05:42:13] d2.utils.events INFO: eta: 16:13:46 iter: 20699 total_loss: 2.441 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03916 loss_box_reg_sup: 0.3443 loss_rpn_cls_sup: 0.03415 loss_rpn_loc_sup: 0.316 loss_cls_unsup: 0.2796 loss_box_reg_unsup: 0.5123 loss_rpn_cls_unsup: 0.3635 loss_rpn_loc_unsup: 0.5964 time: 6.0154 data_time: 0.8244 lr: 0.016 max_mem: 18367M [10/26 05:44:17] d2.utils.events INFO: eta: 16:11:27 iter: 20719 total_loss: 2.374 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04181 loss_box_reg_sup: 0.3503 loss_rpn_cls_sup: 0.0332 loss_rpn_loc_sup: 0.3168 loss_cls_unsup: 0.2678 loss_box_reg_unsup: 0.5416 loss_rpn_cls_unsup: 0.3322 loss_rpn_loc_unsup: 0.5455 time: 6.0156 data_time: 0.7946 lr: 0.016 max_mem: 18367M [10/26 05:46:28] d2.utils.events INFO: eta: 16:09:35 iter: 20739 total_loss: 2.401 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03881 loss_box_reg_sup: 0.3678 loss_rpn_cls_sup: 0.0299 loss_rpn_loc_sup: 0.3146 loss_cls_unsup: 0.2746 loss_box_reg_unsup: 0.5182 loss_rpn_cls_unsup: 0.3272 loss_rpn_loc_unsup: 0.5093 time: 6.0161 data_time: 0.8462 lr: 0.016 max_mem: 18367M [10/26 05:48:58] d2.utils.events INFO: eta: 16:07:29 iter: 20759 total_loss: 2.39 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03812 loss_box_reg_sup: 0.3715 loss_rpn_cls_sup: 0.03261 loss_rpn_loc_sup: 0.32 loss_cls_unsup: 0.2659 loss_box_reg_unsup: 0.4946 loss_rpn_cls_unsup: 0.3452 loss_rpn_loc_unsup: 0.536 time: 6.0175 data_time: 0.8241 lr: 0.016 max_mem: 18367M [10/26 05:51:08] d2.utils.events INFO: eta: 16:05:33 iter: 20779 total_loss: 2.383 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04409 loss_box_reg_sup: 0.3866 loss_rpn_cls_sup: 0.03752 loss_rpn_loc_sup: 0.3442 loss_cls_unsup: 0.2769 loss_box_reg_unsup: 0.4986 loss_rpn_cls_unsup: 0.3083 loss_rpn_loc_unsup: 0.4566 time: 6.0180 data_time: 0.8525 lr: 0.016 max_mem: 18367M [10/26 05:53:25] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 05:53:25] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 05:53:25] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 05:53:25] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 05:53:26] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0375 s/iter. Eval: 0.0006 s/iter. Total: 0.0390 s/iter. ETA=0:03:24 [10/26 05:53:31] d2.evaluation.evaluator INFO: Inference done 114/5258. Dataloading: 0.0011 s/iter. Inference: 0.0467 s/iter. Eval: 0.0005 s/iter. Total: 0.0483 s/iter. ETA=0:04:08 [10/26 05:53:36] d2.evaluation.evaluator INFO: Inference done 237/5258. Dataloading: 0.0011 s/iter. Inference: 0.0428 s/iter. Eval: 0.0005 s/iter. Total: 0.0444 s/iter. ETA=0:03:42 [10/26 05:53:41] d2.evaluation.evaluator INFO: Inference done 363/5258. Dataloading: 0.0011 s/iter. Inference: 0.0412 s/iter. Eval: 0.0005 s/iter. Total: 0.0428 s/iter. ETA=0:03:29 [10/26 05:53:46] d2.evaluation.evaluator INFO: Inference done 491/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:03:19 [10/26 05:53:51] d2.evaluation.evaluator INFO: Inference done 618/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:03:11 [10/26 05:53:56] d2.evaluation.evaluator INFO: Inference done 747/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:03:04 [10/26 05:54:01] d2.evaluation.evaluator INFO: Inference done 874/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:02:58 [10/26 05:54:06] d2.evaluation.evaluator INFO: Inference done 1001/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:02:52 [10/26 05:54:11] d2.evaluation.evaluator INFO: Inference done 1131/5258. Dataloading: 0.0010 s/iter. Inference: 0.0388 s/iter. Eval: 0.0005 s/iter. Total: 0.0403 s/iter. ETA=0:02:46 [10/26 05:54:16] d2.evaluation.evaluator INFO: Inference done 1254/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0404 s/iter. ETA=0:02:41 [10/26 05:54:21] d2.evaluation.evaluator INFO: Inference done 1375/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:02:37 [10/26 05:54:26] d2.evaluation.evaluator INFO: Inference done 1498/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:02:32 [10/26 05:54:31] d2.evaluation.evaluator INFO: Inference done 1619/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:02:27 [10/26 05:54:36] d2.evaluation.evaluator INFO: Inference done 1724/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:02:24 [10/26 05:54:41] d2.evaluation.evaluator INFO: Inference done 1825/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:02:22 [10/26 05:54:46] d2.evaluation.evaluator INFO: Inference done 1933/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:02:18 [10/26 05:54:51] d2.evaluation.evaluator INFO: Inference done 2061/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:02:13 [10/26 05:54:56] d2.evaluation.evaluator INFO: Inference done 2188/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:02:07 [10/26 05:55:01] d2.evaluation.evaluator INFO: Inference done 2316/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0005 s/iter. 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ETA=0:01:35 [10/26 05:55:31] d2.evaluation.evaluator INFO: Inference done 3054/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:01:30 [10/26 05:55:36] d2.evaluation.evaluator INFO: Inference done 3182/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:01:25 [10/26 05:55:41] d2.evaluation.evaluator INFO: Inference done 3302/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:01:20 [10/26 05:55:46] d2.evaluation.evaluator INFO: Inference done 3427/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:01:15 [10/26 05:55:51] d2.evaluation.evaluator INFO: Inference done 3552/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:01:10 [10/26 05:55:56] d2.evaluation.evaluator INFO: Inference done 3678/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:01:04 [10/26 05:56:02] d2.evaluation.evaluator INFO: Inference done 3805/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:00:59 [10/26 05:56:07] d2.evaluation.evaluator INFO: Inference done 3925/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:00:54 [10/26 05:56:12] d2.evaluation.evaluator INFO: Inference done 4029/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:00:50 [10/26 05:56:17] d2.evaluation.evaluator INFO: Inference done 4158/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:00:45 [10/26 05:56:22] d2.evaluation.evaluator INFO: Inference done 4284/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:00:40 [10/26 05:56:27] d2.evaluation.evaluator INFO: Inference done 4409/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:00:34 [10/26 05:56:32] d2.evaluation.evaluator INFO: Inference done 4531/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:00:29 [10/26 05:56:37] d2.evaluation.evaluator INFO: Inference done 4655/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:00:24 [10/26 05:56:42] d2.evaluation.evaluator INFO: Inference done 4784/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:00:19 [10/26 05:56:47] d2.evaluation.evaluator INFO: Inference done 4907/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:00:14 [10/26 05:56:52] d2.evaluation.evaluator INFO: Inference done 5027/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:00:09 [10/26 05:56:57] d2.evaluation.evaluator INFO: Inference done 5150/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:00:04 [10/26 05:57:01] d2.evaluation.evaluator INFO: Total inference time: 0:03:35.622388 (0.041047 s / iter per device, on 1 devices) [10/26 05:57:01] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:27 (0.039489 s / iter per device, on 1 devices) [10/26 05:57:01] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 05:58:19] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 05:58:19] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 05:58:19] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 05:58:19] d2.evaluation.testing INFO: copypaste: 5.3769,11.9102,4.5786 [10/26 05:58:21] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 05:58:21] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 05:58:21] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 05:58:21] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 05:58:22] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0012 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:04:19 [10/26 05:58:27] d2.evaluation.evaluator INFO: Inference done 113/5258. Dataloading: 0.0011 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:04:13 [10/26 05:58:32] d2.evaluation.evaluator INFO: Inference done 216/5258. Dataloading: 0.0011 s/iter. Inference: 0.0475 s/iter. Eval: 0.0004 s/iter. Total: 0.0491 s/iter. ETA=0:04:07 [10/26 05:58:37] d2.evaluation.evaluator INFO: Inference done 320/5258. Dataloading: 0.0010 s/iter. Inference: 0.0473 s/iter. Eval: 0.0004 s/iter. Total: 0.0488 s/iter. ETA=0:04:01 [10/26 05:58:42] d2.evaluation.evaluator INFO: Inference done 422/5258. Dataloading: 0.0010 s/iter. Inference: 0.0474 s/iter. Eval: 0.0004 s/iter. Total: 0.0489 s/iter. ETA=0:03:56 [10/26 05:58:47] d2.evaluation.evaluator INFO: Inference done 522/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0004 s/iter. Total: 0.0492 s/iter. ETA=0:03:52 [10/26 05:58:52] d2.evaluation.evaluator INFO: Inference done 623/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:03:48 [10/26 05:58:57] d2.evaluation.evaluator INFO: Inference done 725/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:03:43 [10/26 05:59:02] d2.evaluation.evaluator INFO: Inference done 826/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:03:38 [10/26 05:59:07] d2.evaluation.evaluator INFO: Inference done 927/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:33 [10/26 05:59:12] d2.evaluation.evaluator INFO: Inference done 1029/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:03:28 [10/26 05:59:17] d2.evaluation.evaluator INFO: Inference done 1130/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:23 [10/26 05:59:22] d2.evaluation.evaluator INFO: Inference done 1230/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:19 [10/26 05:59:27] d2.evaluation.evaluator INFO: Inference done 1331/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:14 [10/26 05:59:32] d2.evaluation.evaluator INFO: Inference done 1431/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:09 [10/26 05:59:38] d2.evaluation.evaluator INFO: Inference done 1532/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:04 [10/26 05:59:43] d2.evaluation.evaluator INFO: Inference done 1634/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:59 [10/26 05:59:48] d2.evaluation.evaluator INFO: Inference done 1735/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:54 [10/26 05:59:53] d2.evaluation.evaluator INFO: Inference done 1837/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:49 [10/26 05:59:58] d2.evaluation.evaluator INFO: Inference done 1939/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:44 [10/26 06:00:03] d2.evaluation.evaluator INFO: Inference done 2041/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:39 [10/26 06:00:08] d2.evaluation.evaluator INFO: Inference done 2142/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:34 [10/26 06:00:13] d2.evaluation.evaluator INFO: Inference done 2243/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:29 [10/26 06:00:18] d2.evaluation.evaluator INFO: Inference done 2345/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:24 [10/26 06:00:23] d2.evaluation.evaluator INFO: Inference done 2446/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:19 [10/26 06:00:28] d2.evaluation.evaluator INFO: Inference done 2549/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:13 [10/26 06:00:33] d2.evaluation.evaluator INFO: Inference done 2651/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:08 [10/26 06:00:38] d2.evaluation.evaluator INFO: Inference done 2752/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:03 [10/26 06:00:43] d2.evaluation.evaluator INFO: Inference done 2852/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:59 [10/26 06:00:48] d2.evaluation.evaluator INFO: Inference done 2955/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:53 [10/26 06:00:53] d2.evaluation.evaluator INFO: Inference done 3053/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:49 [10/26 06:00:58] d2.evaluation.evaluator INFO: Inference done 3153/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:44 [10/26 06:01:03] d2.evaluation.evaluator INFO: Inference done 3254/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:39 [10/26 06:01:08] d2.evaluation.evaluator INFO: Inference done 3355/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:34 [10/26 06:01:13] d2.evaluation.evaluator INFO: Inference done 3457/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:29 [10/26 06:01:18] d2.evaluation.evaluator INFO: Inference done 3558/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:24 [10/26 06:01:23] d2.evaluation.evaluator INFO: Inference done 3660/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:19 [10/26 06:01:28] d2.evaluation.evaluator INFO: Inference done 3762/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:14 [10/26 06:01:33] d2.evaluation.evaluator INFO: Inference done 3864/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:09 [10/26 06:01:38] d2.evaluation.evaluator INFO: Inference done 3967/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:03 [10/26 06:01:43] d2.evaluation.evaluator INFO: Inference done 4070/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:58 [10/26 06:01:48] d2.evaluation.evaluator INFO: Inference done 4172/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:53 [10/26 06:01:53] d2.evaluation.evaluator INFO: Inference done 4272/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:48 [10/26 06:01:58] d2.evaluation.evaluator INFO: Inference done 4374/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:43 [10/26 06:02:03] d2.evaluation.evaluator INFO: Inference done 4475/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:38 [10/26 06:02:08] d2.evaluation.evaluator INFO: Inference done 4576/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:33 [10/26 06:02:13] d2.evaluation.evaluator INFO: Inference done 4677/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:28 [10/26 06:02:18] d2.evaluation.evaluator INFO: Inference done 4778/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:23 [10/26 06:02:23] d2.evaluation.evaluator INFO: Inference done 4878/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:18 [10/26 06:02:28] d2.evaluation.evaluator INFO: Inference done 4979/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:13 [10/26 06:02:33] d2.evaluation.evaluator INFO: Inference done 5080/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:08 [10/26 06:02:38] d2.evaluation.evaluator INFO: Inference done 5181/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:03 [10/26 06:02:42] d2.evaluation.evaluator INFO: Total inference time: 0:04:20.433283 (0.049578 s / iter per device, on 1 devices) [10/26 06:02:42] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:12 (0.048051 s / iter per device, on 1 devices) [10/26 06:02:42] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 06:03:50] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 06:03:50] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 06:03:50] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 06:03:50] d2.evaluation.testing INFO: copypaste: 6.0897,12.9188,5.5423 [10/26 06:03:50] d2.utils.events INFO: eta: 16:03:47 iter: 20799 total_loss: 2.276 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03716 loss_box_reg_sup: 0.3083 loss_rpn_cls_sup: 0.03408 loss_rpn_loc_sup: 0.3018 loss_cls_unsup: 0.2695 loss_box_reg_unsup: 0.5007 loss_rpn_cls_unsup: 0.3345 loss_rpn_loc_unsup: 0.4959 time: 6.0185 data_time: 0.8640 lr: 0.016 max_mem: 18367M [10/26 06:06:07] d2.utils.events INFO: eta: 16:01:52 iter: 20819 total_loss: 2.383 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03806 loss_box_reg_sup: 0.3436 loss_rpn_cls_sup: 0.03388 loss_rpn_loc_sup: 0.2939 loss_cls_unsup: 0.2775 loss_box_reg_unsup: 0.5038 loss_rpn_cls_unsup: 0.3468 loss_rpn_loc_unsup: 0.5035 time: 6.0193 data_time: 0.8593 lr: 0.016 max_mem: 18367M [10/26 06:08:12] d2.utils.events INFO: eta: 15:59:28 iter: 20839 total_loss: 2.4 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03701 loss_box_reg_sup: 0.359 loss_rpn_cls_sup: 0.03369 loss_rpn_loc_sup: 0.3131 loss_cls_unsup: 0.2772 loss_box_reg_unsup: 0.5243 loss_rpn_cls_unsup: 0.3489 loss_rpn_loc_unsup: 0.5259 time: 6.0196 data_time: 0.8593 lr: 0.016 max_mem: 18367M [10/26 06:10:20] d2.utils.events INFO: eta: 15:57:30 iter: 20859 total_loss: 2.402 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04223 loss_box_reg_sup: 0.3674 loss_rpn_cls_sup: 0.03476 loss_rpn_loc_sup: 0.3074 loss_cls_unsup: 0.2658 loss_box_reg_unsup: 0.515 loss_rpn_cls_unsup: 0.3305 loss_rpn_loc_unsup: 0.5616 time: 6.0199 data_time: 0.8100 lr: 0.016 max_mem: 18367M [10/26 06:12:26] d2.utils.events INFO: eta: 15:55:21 iter: 20879 total_loss: 2.319 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04 loss_box_reg_sup: 0.3396 loss_rpn_cls_sup: 0.03147 loss_rpn_loc_sup: 0.2998 loss_cls_unsup: 0.2715 loss_box_reg_unsup: 0.5129 loss_rpn_cls_unsup: 0.3502 loss_rpn_loc_unsup: 0.5019 time: 6.0202 data_time: 0.7862 lr: 0.016 max_mem: 18367M [10/26 06:14:37] d2.utils.events INFO: eta: 15:52:54 iter: 20899 total_loss: 2.417 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03957 loss_box_reg_sup: 0.3589 loss_rpn_cls_sup: 0.03138 loss_rpn_loc_sup: 0.2946 loss_cls_unsup: 0.2719 loss_box_reg_unsup: 0.4917 loss_rpn_cls_unsup: 0.3551 loss_rpn_loc_unsup: 0.5694 time: 6.0207 data_time: 0.8212 lr: 0.016 max_mem: 18367M [10/26 06:16:55] d2.utils.events INFO: eta: 15:51:03 iter: 20919 total_loss: 2.387 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04136 loss_box_reg_sup: 0.366 loss_rpn_cls_sup: 0.03152 loss_rpn_loc_sup: 0.3056 loss_cls_unsup: 0.2589 loss_box_reg_unsup: 0.5101 loss_rpn_cls_unsup: 0.3416 loss_rpn_loc_unsup: 0.5368 time: 6.0215 data_time: 0.8434 lr: 0.016 max_mem: 18367M [10/26 06:19:01] d2.utils.events INFO: eta: 15:48:45 iter: 20939 total_loss: 2.449 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04012 loss_box_reg_sup: 0.3672 loss_rpn_cls_sup: 0.03575 loss_rpn_loc_sup: 0.3138 loss_cls_unsup: 0.2664 loss_box_reg_unsup: 0.5428 loss_rpn_cls_unsup: 0.3551 loss_rpn_loc_unsup: 0.5291 time: 6.0218 data_time: 0.8254 lr: 0.016 max_mem: 18367M [10/26 06:21:18] d2.utils.events INFO: eta: 15:46:11 iter: 20959 total_loss: 2.408 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04305 loss_box_reg_sup: 0.3718 loss_rpn_cls_sup: 0.03968 loss_rpn_loc_sup: 0.3331 loss_cls_unsup: 0.2951 loss_box_reg_unsup: 0.5396 loss_rpn_cls_unsup: 0.3359 loss_rpn_loc_unsup: 0.4901 time: 6.0226 data_time: 0.7984 lr: 0.016 max_mem: 18367M [10/26 06:23:25] d2.utils.events INFO: eta: 15:44:14 iter: 20979 total_loss: 2.38 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03717 loss_box_reg_sup: 0.3473 loss_rpn_cls_sup: 0.03633 loss_rpn_loc_sup: 0.3153 loss_cls_unsup: 0.2692 loss_box_reg_unsup: 0.5056 loss_rpn_cls_unsup: 0.3328 loss_rpn_loc_unsup: 0.4971 time: 6.0229 data_time: 0.8482 lr: 0.016 max_mem: 18367M [10/26 06:25:54] d2.utils.events INFO: eta: 15:42:25 iter: 20999 total_loss: 2.395 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04083 loss_box_reg_sup: 0.3423 loss_rpn_cls_sup: 0.03345 loss_rpn_loc_sup: 0.3204 loss_cls_unsup: 0.2727 loss_box_reg_unsup: 0.504 loss_rpn_cls_unsup: 0.3497 loss_rpn_loc_unsup: 0.5122 time: 6.0243 data_time: 0.8603 lr: 0.016 max_mem: 18367M [10/26 06:28:00] d2.utils.events INFO: eta: 15:40:05 iter: 21019 total_loss: 2.283 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03727 loss_box_reg_sup: 0.3358 loss_rpn_cls_sup: 0.03363 loss_rpn_loc_sup: 0.2897 loss_cls_unsup: 0.2642 loss_box_reg_unsup: 0.4905 loss_rpn_cls_unsup: 0.3313 loss_rpn_loc_unsup: 0.4889 time: 6.0245 data_time: 0.8079 lr: 0.016 max_mem: 18367M [10/26 06:30:12] d2.utils.events INFO: eta: 15:37:53 iter: 21039 total_loss: 2.353 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03631 loss_box_reg_sup: 0.3627 loss_rpn_cls_sup: 0.034 loss_rpn_loc_sup: 0.3078 loss_cls_unsup: 0.2714 loss_box_reg_unsup: 0.487 loss_rpn_cls_unsup: 0.3534 loss_rpn_loc_unsup: 0.5115 time: 6.0250 data_time: 0.8020 lr: 0.016 max_mem: 18367M [10/26 06:32:19] d2.utils.events INFO: eta: 15:35:22 iter: 21059 total_loss: 2.486 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03903 loss_box_reg_sup: 0.3506 loss_rpn_cls_sup: 0.03511 loss_rpn_loc_sup: 0.309 loss_cls_unsup: 0.2796 loss_box_reg_unsup: 0.504 loss_rpn_cls_unsup: 0.3573 loss_rpn_loc_unsup: 0.6195 time: 6.0253 data_time: 0.8144 lr: 0.016 max_mem: 18367M [10/26 06:34:24] d2.utils.events INFO: eta: 15:33:33 iter: 21079 total_loss: 2.406 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03985 loss_box_reg_sup: 0.3662 loss_rpn_cls_sup: 0.03612 loss_rpn_loc_sup: 0.3176 loss_cls_unsup: 0.2641 loss_box_reg_unsup: 0.5161 loss_rpn_cls_unsup: 0.3324 loss_rpn_loc_unsup: 0.5326 time: 6.0256 data_time: 0.8102 lr: 0.016 max_mem: 18367M [10/26 06:36:30] d2.utils.events INFO: eta: 15:31:27 iter: 21099 total_loss: 2.5 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04229 loss_box_reg_sup: 0.3764 loss_rpn_cls_sup: 0.03849 loss_rpn_loc_sup: 0.3144 loss_cls_unsup: 0.274 loss_box_reg_unsup: 0.548 loss_rpn_cls_unsup: 0.3452 loss_rpn_loc_unsup: 0.5572 time: 6.0259 data_time: 0.8489 lr: 0.016 max_mem: 18367M [10/26 06:38:49] d2.utils.events INFO: eta: 15:28:43 iter: 21119 total_loss: 2.421 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04149 loss_box_reg_sup: 0.3486 loss_rpn_cls_sup: 0.04326 loss_rpn_loc_sup: 0.3182 loss_cls_unsup: 0.2803 loss_box_reg_unsup: 0.5089 loss_rpn_cls_unsup: 0.3357 loss_rpn_loc_unsup: 0.4984 time: 6.0267 data_time: 0.8295 lr: 0.016 max_mem: 18367M [10/26 06:40:54] d2.utils.events INFO: eta: 15:26:27 iter: 21139 total_loss: 2.407 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03935 loss_box_reg_sup: 0.3536 loss_rpn_cls_sup: 0.0373 loss_rpn_loc_sup: 0.3194 loss_cls_unsup: 0.282 loss_box_reg_unsup: 0.4954 loss_rpn_cls_unsup: 0.3337 loss_rpn_loc_unsup: 0.5175 time: 6.0269 data_time: 0.8056 lr: 0.016 max_mem: 18367M [10/26 06:43:03] d2.utils.events INFO: eta: 15:24:32 iter: 21159 total_loss: 2.318 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03861 loss_box_reg_sup: 0.3771 loss_rpn_cls_sup: 0.03346 loss_rpn_loc_sup: 0.3102 loss_cls_unsup: 0.2626 loss_box_reg_unsup: 0.5076 loss_rpn_cls_unsup: 0.3205 loss_rpn_loc_unsup: 0.518 time: 6.0273 data_time: 0.8233 lr: 0.016 max_mem: 18367M [10/26 06:45:40] d2.utils.events INFO: eta: 15:23:05 iter: 21179 total_loss: 2.331 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03849 loss_box_reg_sup: 0.3364 loss_rpn_cls_sup: 0.03484 loss_rpn_loc_sup: 0.3132 loss_cls_unsup: 0.2831 loss_box_reg_unsup: 0.4908 loss_rpn_cls_unsup: 0.3516 loss_rpn_loc_unsup: 0.5329 time: 6.0291 data_time: 0.8596 lr: 0.016 max_mem: 18367M [10/26 06:47:51] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 06:47:51] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 06:47:51] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 06:47:51] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 06:47:52] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0457 s/iter. Eval: 0.0005 s/iter. Total: 0.0471 s/iter. ETA=0:04:07 [10/26 06:47:57] d2.evaluation.evaluator INFO: Inference done 115/5258. Dataloading: 0.0013 s/iter. Inference: 0.0467 s/iter. Eval: 0.0004 s/iter. Total: 0.0484 s/iter. ETA=0:04:08 [10/26 06:48:02] d2.evaluation.evaluator INFO: Inference done 232/5258. Dataloading: 0.0012 s/iter. Inference: 0.0439 s/iter. Eval: 0.0004 s/iter. Total: 0.0455 s/iter. ETA=0:03:48 [10/26 06:48:07] d2.evaluation.evaluator INFO: Inference done 340/5258. Dataloading: 0.0011 s/iter. Inference: 0.0443 s/iter. Eval: 0.0004 s/iter. Total: 0.0458 s/iter. ETA=0:03:45 [10/26 06:48:12] d2.evaluation.evaluator INFO: Inference done 459/5258. Dataloading: 0.0011 s/iter. Inference: 0.0433 s/iter. Eval: 0.0004 s/iter. Total: 0.0449 s/iter. ETA=0:03:35 [10/26 06:48:17] d2.evaluation.evaluator INFO: Inference done 582/5258. Dataloading: 0.0011 s/iter. Inference: 0.0425 s/iter. Eval: 0.0004 s/iter. Total: 0.0440 s/iter. ETA=0:03:25 [10/26 06:48:22] d2.evaluation.evaluator INFO: Inference done 704/5258. Dataloading: 0.0011 s/iter. Inference: 0.0420 s/iter. Eval: 0.0004 s/iter. Total: 0.0435 s/iter. ETA=0:03:18 [10/26 06:48:27] d2.evaluation.evaluator INFO: Inference done 829/5258. Dataloading: 0.0011 s/iter. Inference: 0.0415 s/iter. Eval: 0.0004 s/iter. Total: 0.0430 s/iter. ETA=0:03:10 [10/26 06:48:32] d2.evaluation.evaluator INFO: Inference done 953/5258. Dataloading: 0.0011 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0427 s/iter. ETA=0:03:03 [10/26 06:48:37] d2.evaluation.evaluator INFO: Inference done 1075/5258. Dataloading: 0.0011 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:02:57 [10/26 06:48:42] d2.evaluation.evaluator INFO: Inference done 1204/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0004 s/iter. Total: 0.0421 s/iter. ETA=0:02:50 [10/26 06:48:47] d2.evaluation.evaluator INFO: Inference done 1332/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:02:44 [10/26 06:48:52] d2.evaluation.evaluator INFO: Inference done 1461/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:02:37 [10/26 06:48:57] d2.evaluation.evaluator INFO: Inference done 1584/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:02:32 [10/26 06:49:02] d2.evaluation.evaluator INFO: Inference done 1708/5258. Dataloading: 0.0011 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:02:27 [10/26 06:49:07] d2.evaluation.evaluator INFO: Inference done 1833/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:02:21 [10/26 06:49:13] d2.evaluation.evaluator INFO: Inference done 1960/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:02:15 [10/26 06:49:18] d2.evaluation.evaluator INFO: Inference done 2086/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:02:10 [10/26 06:49:23] d2.evaluation.evaluator INFO: Inference done 2191/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:02:07 [10/26 06:49:28] d2.evaluation.evaluator INFO: Inference done 2318/5258. Dataloading: 0.0011 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:02:01 [10/26 06:49:33] d2.evaluation.evaluator INFO: Inference done 2447/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:01:55 [10/26 06:49:38] d2.evaluation.evaluator INFO: Inference done 2576/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:01:50 [10/26 06:49:43] d2.evaluation.evaluator INFO: Inference done 2695/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:01:45 [10/26 06:49:48] d2.evaluation.evaluator INFO: Inference done 2817/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:01:40 [10/26 06:49:53] d2.evaluation.evaluator INFO: Inference done 2943/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:01:35 [10/26 06:49:58] d2.evaluation.evaluator INFO: Inference done 3068/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:01:29 [10/26 06:50:03] d2.evaluation.evaluator INFO: Inference done 3171/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:01:26 [10/26 06:50:08] d2.evaluation.evaluator INFO: Inference done 3293/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:01:21 [10/26 06:50:13] d2.evaluation.evaluator INFO: Inference done 3414/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:01:16 [10/26 06:50:18] d2.evaluation.evaluator INFO: Inference done 3530/5258. Dataloading: 0.0011 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:01:11 [10/26 06:50:23] d2.evaluation.evaluator INFO: Inference done 3651/5258. Dataloading: 0.0011 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:01:06 [10/26 06:50:28] d2.evaluation.evaluator INFO: Inference done 3776/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:01:01 [10/26 06:50:33] d2.evaluation.evaluator INFO: Inference done 3907/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:00:55 [10/26 06:50:38] d2.evaluation.evaluator INFO: Inference done 4033/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:00:50 [10/26 06:50:43] d2.evaluation.evaluator INFO: Inference done 4161/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:00:45 [10/26 06:50:48] d2.evaluation.evaluator INFO: Inference done 4287/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:00:39 [10/26 06:50:53] d2.evaluation.evaluator INFO: Inference done 4413/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:00:34 [10/26 06:50:58] d2.evaluation.evaluator INFO: Inference done 4542/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0004 s/iter. Total: 0.0410 s/iter. ETA=0:00:29 [10/26 06:51:03] d2.evaluation.evaluator INFO: Inference done 4670/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0004 s/iter. Total: 0.0410 s/iter. ETA=0:00:24 [10/26 06:51:08] d2.evaluation.evaluator INFO: Inference done 4796/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0409 s/iter. ETA=0:00:18 [10/26 06:51:13] d2.evaluation.evaluator INFO: Inference done 4926/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0409 s/iter. ETA=0:00:13 [10/26 06:51:18] d2.evaluation.evaluator INFO: Inference done 5058/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:00:08 [10/26 06:51:23] d2.evaluation.evaluator INFO: Inference done 5183/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:00:03 [10/26 06:51:26] d2.evaluation.evaluator INFO: Total inference time: 0:03:34.131568 (0.040764 s / iter per device, on 1 devices) [10/26 06:51:26] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:26 (0.039272 s / iter per device, on 1 devices) [10/26 06:51:26] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 06:52:20] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 06:52:20] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 06:52:20] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 06:52:20] d2.evaluation.testing INFO: copypaste: 5.9311,12.7769,5.2476 [10/26 06:52:22] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 06:52:22] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 06:52:22] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 06:52:22] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 06:52:23] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0493 s/iter. Eval: 0.0005 s/iter. Total: 0.0507 s/iter. ETA=0:04:26 [10/26 06:52:28] d2.evaluation.evaluator INFO: Inference done 113/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:04:14 [10/26 06:52:33] d2.evaluation.evaluator INFO: Inference done 212/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:04:12 [10/26 06:52:38] d2.evaluation.evaluator INFO: Inference done 311/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:04:08 [10/26 06:52:43] d2.evaluation.evaluator INFO: Inference done 411/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:04:03 [10/26 06:52:48] d2.evaluation.evaluator INFO: Inference done 512/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:03:58 [10/26 06:52:53] d2.evaluation.evaluator INFO: Inference done 615/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:52 [10/26 06:52:58] d2.evaluation.evaluator INFO: Inference done 717/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:03:46 [10/26 06:53:03] d2.evaluation.evaluator INFO: Inference done 821/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:40 [10/26 06:53:08] d2.evaluation.evaluator INFO: Inference done 924/5258. Dataloading: 0.0011 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:35 [10/26 06:53:13] d2.evaluation.evaluator INFO: Inference done 1026/5258. Dataloading: 0.0011 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:29 [10/26 06:53:18] d2.evaluation.evaluator INFO: Inference done 1128/5258. Dataloading: 0.0011 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:24 [10/26 06:53:23] d2.evaluation.evaluator INFO: Inference done 1226/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:20 [10/26 06:53:28] d2.evaluation.evaluator INFO: Inference done 1328/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:15 [10/26 06:53:34] d2.evaluation.evaluator INFO: Inference done 1431/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:09 [10/26 06:53:39] d2.evaluation.evaluator INFO: Inference done 1535/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:04 [10/26 06:53:44] d2.evaluation.evaluator INFO: Inference done 1637/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:59 [10/26 06:53:49] d2.evaluation.evaluator INFO: Inference done 1740/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:53 [10/26 06:53:54] d2.evaluation.evaluator INFO: Inference done 1841/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:48 [10/26 06:53:59] d2.evaluation.evaluator INFO: Inference done 1945/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:43 [10/26 06:54:04] d2.evaluation.evaluator INFO: Inference done 2048/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:38 [10/26 06:54:09] d2.evaluation.evaluator INFO: Inference done 2152/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:33 [10/26 06:54:14] d2.evaluation.evaluator INFO: Inference done 2254/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:28 [10/26 06:54:19] d2.evaluation.evaluator INFO: Inference done 2357/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:23 [10/26 06:54:24] d2.evaluation.evaluator INFO: Inference done 2460/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:17 [10/26 06:54:29] d2.evaluation.evaluator INFO: Inference done 2563/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:12 [10/26 06:54:34] d2.evaluation.evaluator INFO: Inference done 2665/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:02:07 [10/26 06:54:39] d2.evaluation.evaluator INFO: Inference done 2767/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:02 [10/26 06:54:44] d2.evaluation.evaluator INFO: Inference done 2868/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:57 [10/26 06:54:49] d2.evaluation.evaluator INFO: Inference done 2970/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:52 [10/26 06:54:54] d2.evaluation.evaluator INFO: Inference done 3071/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:47 [10/26 06:54:59] d2.evaluation.evaluator INFO: Inference done 3173/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:42 [10/26 06:55:04] d2.evaluation.evaluator INFO: Inference done 3276/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:37 [10/26 06:55:09] d2.evaluation.evaluator INFO: Inference done 3379/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:32 [10/26 06:55:14] d2.evaluation.evaluator INFO: Inference done 3479/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:27 [10/26 06:55:19] d2.evaluation.evaluator INFO: Inference done 3581/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:22 [10/26 06:55:24] d2.evaluation.evaluator INFO: Inference done 3683/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:17 [10/26 06:55:29] d2.evaluation.evaluator INFO: Inference done 3786/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:12 [10/26 06:55:34] d2.evaluation.evaluator INFO: Inference done 3887/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:07 [10/26 06:55:39] d2.evaluation.evaluator INFO: Inference done 3988/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:02 [10/26 06:55:44] d2.evaluation.evaluator INFO: Inference done 4090/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:57 [10/26 06:55:49] d2.evaluation.evaluator INFO: Inference done 4191/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:52 [10/26 06:55:54] d2.evaluation.evaluator INFO: Inference done 4291/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:47 [10/26 06:55:59] d2.evaluation.evaluator INFO: Inference done 4393/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:42 [10/26 06:56:04] d2.evaluation.evaluator INFO: Inference done 4495/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:37 [10/26 06:56:09] d2.evaluation.evaluator INFO: Inference done 4596/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:32 [10/26 06:56:14] d2.evaluation.evaluator INFO: Inference done 4697/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:27 [10/26 06:56:19] d2.evaluation.evaluator INFO: Inference done 4797/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:22 [10/26 06:56:24] d2.evaluation.evaluator INFO: Inference done 4904/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:17 [10/26 06:56:29] d2.evaluation.evaluator INFO: Inference done 5007/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:12 [10/26 06:56:34] d2.evaluation.evaluator INFO: Inference done 5110/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:07 [10/26 06:56:39] d2.evaluation.evaluator INFO: Inference done 5211/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:02 [10/26 06:56:42] d2.evaluation.evaluator INFO: Total inference time: 0:04:19.164677 (0.049337 s / iter per device, on 1 devices) [10/26 06:56:42] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:11 (0.047807 s / iter per device, on 1 devices) [10/26 06:56:42] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 06:57:48] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 06:57:48] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 06:57:48] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 06:57:48] d2.evaluation.testing INFO: copypaste: 6.1116,12.9279,5.5697 [10/26 06:57:48] d2.utils.events INFO: eta: 15:20:15 iter: 21199 total_loss: 2.399 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04347 loss_box_reg_sup: 0.3659 loss_rpn_cls_sup: 0.03711 loss_rpn_loc_sup: 0.3183 loss_cls_unsup: 0.2788 loss_box_reg_unsup: 0.5078 loss_rpn_cls_unsup: 0.3334 loss_rpn_loc_unsup: 0.5063 time: 6.0292 data_time: 0.8207 lr: 0.016 max_mem: 18367M [10/26 07:00:09] d2.utils.events INFO: eta: 15:19:02 iter: 21219 total_loss: 2.354 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03735 loss_box_reg_sup: 0.3525 loss_rpn_cls_sup: 0.03087 loss_rpn_loc_sup: 0.3058 loss_cls_unsup: 0.2773 loss_box_reg_unsup: 0.4879 loss_rpn_cls_unsup: 0.3642 loss_rpn_loc_unsup: 0.5428 time: 6.0302 data_time: 0.8002 lr: 0.016 max_mem: 18367M [10/26 07:02:14] d2.utils.events INFO: eta: 15:16:46 iter: 21239 total_loss: 2.489 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03906 loss_box_reg_sup: 0.3709 loss_rpn_cls_sup: 0.03423 loss_rpn_loc_sup: 0.2938 loss_cls_unsup: 0.2806 loss_box_reg_unsup: 0.5389 loss_rpn_cls_unsup: 0.3434 loss_rpn_loc_unsup: 0.5605 time: 6.0304 data_time: 0.8162 lr: 0.016 max_mem: 18367M [10/26 07:04:35] d2.utils.events INFO: eta: 15:15:01 iter: 21259 total_loss: 2.349 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04111 loss_box_reg_sup: 0.352 loss_rpn_cls_sup: 0.03763 loss_rpn_loc_sup: 0.3115 loss_cls_unsup: 0.2884 loss_box_reg_unsup: 0.5056 loss_rpn_cls_unsup: 0.343 loss_rpn_loc_unsup: 0.4664 time: 6.0314 data_time: 0.8378 lr: 0.016 max_mem: 18367M [10/26 07:06:40] d2.utils.events INFO: eta: 15:12:32 iter: 21279 total_loss: 2.448 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03896 loss_box_reg_sup: 0.359 loss_rpn_cls_sup: 0.03429 loss_rpn_loc_sup: 0.3073 loss_cls_unsup: 0.27 loss_box_reg_unsup: 0.4877 loss_rpn_cls_unsup: 0.3349 loss_rpn_loc_unsup: 0.5812 time: 6.0316 data_time: 0.8154 lr: 0.016 max_mem: 18367M [10/26 07:08:58] d2.utils.events INFO: eta: 15:09:44 iter: 21299 total_loss: 2.422 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04182 loss_box_reg_sup: 0.3796 loss_rpn_cls_sup: 0.03532 loss_rpn_loc_sup: 0.3137 loss_cls_unsup: 0.2567 loss_box_reg_unsup: 0.5101 loss_rpn_cls_unsup: 0.3281 loss_rpn_loc_unsup: 0.5323 time: 6.0324 data_time: 0.8194 lr: 0.016 max_mem: 18367M [10/26 07:11:02] d2.utils.events INFO: eta: 15:07:38 iter: 21319 total_loss: 2.336 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04033 loss_box_reg_sup: 0.3483 loss_rpn_cls_sup: 0.03442 loss_rpn_loc_sup: 0.3157 loss_cls_unsup: 0.275 loss_box_reg_unsup: 0.491 loss_rpn_cls_unsup: 0.334 loss_rpn_loc_unsup: 0.4984 time: 6.0326 data_time: 0.8083 lr: 0.016 max_mem: 18367M [10/26 07:13:09] d2.utils.events INFO: eta: 15:05:33 iter: 21339 total_loss: 2.402 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04069 loss_box_reg_sup: 0.3707 loss_rpn_cls_sup: 0.03908 loss_rpn_loc_sup: 0.3147 loss_cls_unsup: 0.276 loss_box_reg_unsup: 0.5104 loss_rpn_cls_unsup: 0.3396 loss_rpn_loc_unsup: 0.5267 time: 6.0328 data_time: 0.7959 lr: 0.016 max_mem: 18367M [10/26 07:15:27] d2.utils.events INFO: eta: 15:03:27 iter: 21359 total_loss: 2.381 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04121 loss_box_reg_sup: 0.3754 loss_rpn_cls_sup: 0.0373 loss_rpn_loc_sup: 0.3239 loss_cls_unsup: 0.2961 loss_box_reg_unsup: 0.5182 loss_rpn_cls_unsup: 0.3142 loss_rpn_loc_unsup: 0.4791 time: 6.0336 data_time: 0.8031 lr: 0.016 max_mem: 18367M [10/26 07:17:56] d2.utils.events INFO: eta: 15:01:14 iter: 21379 total_loss: 2.294 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03818 loss_box_reg_sup: 0.3495 loss_rpn_cls_sup: 0.0322 loss_rpn_loc_sup: 0.3137 loss_cls_unsup: 0.2606 loss_box_reg_unsup: 0.4829 loss_rpn_cls_unsup: 0.3247 loss_rpn_loc_unsup: 0.5107 time: 6.0350 data_time: 0.8191 lr: 0.016 max_mem: 18367M [10/26 07:20:08] d2.utils.events INFO: eta: 14:58:44 iter: 21399 total_loss: 2.313 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03789 loss_box_reg_sup: 0.333 loss_rpn_cls_sup: 0.03314 loss_rpn_loc_sup: 0.2932 loss_cls_unsup: 0.257 loss_box_reg_unsup: 0.5228 loss_rpn_cls_unsup: 0.3369 loss_rpn_loc_unsup: 0.5221 time: 6.0355 data_time: 0.7935 lr: 0.016 max_mem: 18367M [10/26 07:22:25] d2.utils.events INFO: eta: 14:57:03 iter: 21419 total_loss: 2.383 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03861 loss_box_reg_sup: 0.344 loss_rpn_cls_sup: 0.03247 loss_rpn_loc_sup: 0.3136 loss_cls_unsup: 0.2745 loss_box_reg_unsup: 0.5166 loss_rpn_cls_unsup: 0.3536 loss_rpn_loc_unsup: 0.5182 time: 6.0363 data_time: 0.8537 lr: 0.016 max_mem: 18367M [10/26 07:24:41] d2.utils.events INFO: eta: 14:55:52 iter: 21439 total_loss: 2.425 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03766 loss_box_reg_sup: 0.3585 loss_rpn_cls_sup: 0.03707 loss_rpn_loc_sup: 0.3339 loss_cls_unsup: 0.2828 loss_box_reg_unsup: 0.4991 loss_rpn_cls_unsup: 0.3361 loss_rpn_loc_unsup: 0.5243 time: 6.0370 data_time: 0.8487 lr: 0.016 max_mem: 18367M [10/26 07:26:50] d2.utils.events INFO: eta: 14:53:52 iter: 21459 total_loss: 2.348 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03524 loss_box_reg_sup: 0.3539 loss_rpn_cls_sup: 0.03304 loss_rpn_loc_sup: 0.3088 loss_cls_unsup: 0.2709 loss_box_reg_unsup: 0.5147 loss_rpn_cls_unsup: 0.3466 loss_rpn_loc_unsup: 0.5053 time: 6.0374 data_time: 0.7941 lr: 0.016 max_mem: 18367M [10/26 07:28:58] d2.utils.events INFO: eta: 14:51:57 iter: 21479 total_loss: 2.311 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0399 loss_box_reg_sup: 0.3278 loss_rpn_cls_sup: 0.03357 loss_rpn_loc_sup: 0.3 loss_cls_unsup: 0.2783 loss_box_reg_unsup: 0.4951 loss_rpn_cls_unsup: 0.3502 loss_rpn_loc_unsup: 0.4641 time: 6.0377 data_time: 0.7929 lr: 0.016 max_mem: 18367M [10/26 07:31:02] d2.utils.events INFO: eta: 14:48:39 iter: 21499 total_loss: 2.445 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04103 loss_box_reg_sup: 0.3675 loss_rpn_cls_sup: 0.03836 loss_rpn_loc_sup: 0.3091 loss_cls_unsup: 0.2791 loss_box_reg_unsup: 0.5201 loss_rpn_cls_unsup: 0.3385 loss_rpn_loc_unsup: 0.5406 time: 6.0379 data_time: 0.8068 lr: 0.016 max_mem: 18367M [10/26 07:33:18] d2.utils.events INFO: eta: 14:47:33 iter: 21519 total_loss: 2.404 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03912 loss_box_reg_sup: 0.3414 loss_rpn_cls_sup: 0.03449 loss_rpn_loc_sup: 0.3039 loss_cls_unsup: 0.2797 loss_box_reg_unsup: 0.493 loss_rpn_cls_unsup: 0.3391 loss_rpn_loc_unsup: 0.5459 time: 6.0386 data_time: 0.8485 lr: 0.016 max_mem: 18367M [10/26 07:35:25] d2.utils.events INFO: eta: 14:45:02 iter: 21539 total_loss: 2.41 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03677 loss_box_reg_sup: 0.3528 loss_rpn_cls_sup: 0.03579 loss_rpn_loc_sup: 0.3158 loss_cls_unsup: 0.2806 loss_box_reg_unsup: 0.5107 loss_rpn_cls_unsup: 0.3196 loss_rpn_loc_unsup: 0.5585 time: 6.0388 data_time: 0.8315 lr: 0.016 max_mem: 18367M [10/26 07:37:29] d2.utils.events INFO: eta: 14:41:57 iter: 21559 total_loss: 2.485 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03824 loss_box_reg_sup: 0.3338 loss_rpn_cls_sup: 0.03906 loss_rpn_loc_sup: 0.3074 loss_cls_unsup: 0.2767 loss_box_reg_unsup: 0.5306 loss_rpn_cls_unsup: 0.3438 loss_rpn_loc_unsup: 0.5811 time: 6.0390 data_time: 0.8651 lr: 0.016 max_mem: 18367M [10/26 07:39:32] d2.utils.events INFO: eta: 14:39:20 iter: 21579 total_loss: 2.494 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04185 loss_box_reg_sup: 0.3533 loss_rpn_cls_sup: 0.03809 loss_rpn_loc_sup: 0.3229 loss_cls_unsup: 0.2757 loss_box_reg_unsup: 0.5154 loss_rpn_cls_unsup: 0.3381 loss_rpn_loc_unsup: 0.5773 time: 6.0391 data_time: 0.7798 lr: 0.016 max_mem: 18367M [10/26 07:41:54] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 07:41:54] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 07:41:54] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 07:41:54] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 07:41:55] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0374 s/iter. Eval: 0.0005 s/iter. Total: 0.0387 s/iter. ETA=0:03:23 [10/26 07:42:00] d2.evaluation.evaluator INFO: Inference done 140/5258. Dataloading: 0.0010 s/iter. Inference: 0.0375 s/iter. Eval: 0.0004 s/iter. Total: 0.0390 s/iter. ETA=0:03:19 [10/26 07:42:05] d2.evaluation.evaluator INFO: Inference done 268/5258. Dataloading: 0.0010 s/iter. Inference: 0.0376 s/iter. Eval: 0.0004 s/iter. Total: 0.0391 s/iter. ETA=0:03:15 [10/26 07:42:10] d2.evaluation.evaluator INFO: Inference done 392/5258. Dataloading: 0.0010 s/iter. Inference: 0.0381 s/iter. Eval: 0.0004 s/iter. Total: 0.0396 s/iter. ETA=0:03:12 [10/26 07:42:15] d2.evaluation.evaluator INFO: Inference done 518/5258. Dataloading: 0.0010 s/iter. Inference: 0.0381 s/iter. Eval: 0.0004 s/iter. Total: 0.0396 s/iter. ETA=0:03:07 [10/26 07:42:20] d2.evaluation.evaluator INFO: Inference done 645/5258. Dataloading: 0.0010 s/iter. Inference: 0.0382 s/iter. Eval: 0.0004 s/iter. Total: 0.0396 s/iter. ETA=0:03:02 [10/26 07:42:25] d2.evaluation.evaluator INFO: Inference done 770/5258. Dataloading: 0.0010 s/iter. Inference: 0.0382 s/iter. Eval: 0.0004 s/iter. Total: 0.0397 s/iter. ETA=0:02:58 [10/26 07:42:30] d2.evaluation.evaluator INFO: Inference done 886/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0004 s/iter. Total: 0.0402 s/iter. ETA=0:02:55 [10/26 07:42:35] d2.evaluation.evaluator INFO: Inference done 1012/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0401 s/iter. ETA=0:02:50 [10/26 07:42:40] d2.evaluation.evaluator INFO: Inference done 1138/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0401 s/iter. ETA=0:02:45 [10/26 07:42:45] d2.evaluation.evaluator INFO: Inference done 1265/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0400 s/iter. ETA=0:02:39 [10/26 07:42:50] d2.evaluation.evaluator INFO: Inference done 1395/5258. Dataloading: 0.0010 s/iter. Inference: 0.0384 s/iter. Eval: 0.0004 s/iter. Total: 0.0399 s/iter. ETA=0:02:34 [10/26 07:42:55] d2.evaluation.evaluator INFO: Inference done 1510/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0004 s/iter. Total: 0.0402 s/iter. ETA=0:02:30 [10/26 07:43:00] d2.evaluation.evaluator INFO: Inference done 1638/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0401 s/iter. ETA=0:02:25 [10/26 07:43:06] d2.evaluation.evaluator INFO: Inference done 1763/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0401 s/iter. ETA=0:02:20 [10/26 07:43:11] d2.evaluation.evaluator INFO: Inference done 1879/5258. Dataloading: 0.0010 s/iter. Inference: 0.0388 s/iter. Eval: 0.0004 s/iter. Total: 0.0403 s/iter. ETA=0:02:16 [10/26 07:43:16] d2.evaluation.evaluator INFO: Inference done 2000/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:02:11 [10/26 07:43:21] d2.evaluation.evaluator INFO: Inference done 2105/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:02:08 [10/26 07:43:26] d2.evaluation.evaluator INFO: Inference done 2235/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:02:02 [10/26 07:43:31] d2.evaluation.evaluator INFO: Inference done 2357/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. 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ETA=0:01:31 [10/26 07:44:01] d2.evaluation.evaluator INFO: Inference done 3112/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:01:26 [10/26 07:44:06] d2.evaluation.evaluator INFO: Inference done 3238/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:01:21 [10/26 07:44:11] d2.evaluation.evaluator INFO: Inference done 3368/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:01:16 [10/26 07:44:16] d2.evaluation.evaluator INFO: Inference done 3492/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:01:11 [10/26 07:44:21] d2.evaluation.evaluator INFO: Inference done 3614/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:01:06 [10/26 07:44:26] d2.evaluation.evaluator INFO: Inference done 3741/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:01:01 [10/26 07:44:31] d2.evaluation.evaluator INFO: Inference done 3863/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:00:56 [10/26 07:44:36] d2.evaluation.evaluator INFO: Inference done 3988/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:00:51 [10/26 07:44:41] d2.evaluation.evaluator INFO: Inference done 4115/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:00:46 [10/26 07:44:46] d2.evaluation.evaluator INFO: Inference done 4236/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:00:41 [10/26 07:44:51] d2.evaluation.evaluator INFO: Inference done 4365/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. 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ETA=0:00:11 [10/26 07:45:21] d2.evaluation.evaluator INFO: Inference done 5093/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:00:06 [10/26 07:45:26] d2.evaluation.evaluator INFO: Inference done 5214/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:00:01 [10/26 07:45:28] d2.evaluation.evaluator INFO: Total inference time: 0:03:33.076661 (0.040563 s / iter per device, on 1 devices) [10/26 07:45:28] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:25 (0.039056 s / iter per device, on 1 devices) [10/26 07:45:28] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 07:46:34] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 07:46:34] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 07:46:34] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 07:46:34] d2.evaluation.testing INFO: copypaste: 5.6051,12.2233,4.8136 [10/26 07:46:36] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 07:46:36] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 07:46:36] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 07:46:36] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 07:46:37] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:04:22 [10/26 07:46:42] d2.evaluation.evaluator INFO: Inference done 114/5258. Dataloading: 0.0010 s/iter. Inference: 0.0473 s/iter. Eval: 0.0004 s/iter. Total: 0.0487 s/iter. ETA=0:04:10 [10/26 07:46:47] d2.evaluation.evaluator INFO: Inference done 218/5258. Dataloading: 0.0010 s/iter. Inference: 0.0472 s/iter. Eval: 0.0004 s/iter. Total: 0.0487 s/iter. ETA=0:04:05 [10/26 07:46:52] d2.evaluation.evaluator INFO: Inference done 322/5258. Dataloading: 0.0010 s/iter. Inference: 0.0471 s/iter. Eval: 0.0004 s/iter. Total: 0.0485 s/iter. ETA=0:03:59 [10/26 07:46:57] d2.evaluation.evaluator INFO: Inference done 422/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0004 s/iter. Total: 0.0490 s/iter. ETA=0:03:56 [10/26 07:47:02] d2.evaluation.evaluator INFO: Inference done 524/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0004 s/iter. Total: 0.0490 s/iter. ETA=0:03:52 [10/26 07:47:07] d2.evaluation.evaluator INFO: Inference done 625/5258. 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ETA=0:01:38 [10/26 07:49:23] d2.evaluation.evaluator INFO: Inference done 3362/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:33 [10/26 07:49:28] d2.evaluation.evaluator INFO: Inference done 3465/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:01:28 [10/26 07:49:33] d2.evaluation.evaluator INFO: Inference done 3567/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:01:23 [10/26 07:49:38] d2.evaluation.evaluator INFO: Inference done 3668/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:01:18 [10/26 07:49:43] d2.evaluation.evaluator INFO: Inference done 3768/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:01:13 [10/26 07:49:48] d2.evaluation.evaluator INFO: Inference done 3870/5258. 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ETA=0:00:18 [10/26 07:50:43] d2.evaluation.evaluator INFO: Inference done 4993/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:13 [10/26 07:50:48] d2.evaluation.evaluator INFO: Inference done 5095/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:08 [10/26 07:50:53] d2.evaluation.evaluator INFO: Inference done 5198/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0004 s/iter. Total: 0.0494 s/iter. ETA=0:00:02 [10/26 07:50:56] d2.evaluation.evaluator INFO: Total inference time: 0:04:19.452554 (0.049391 s / iter per device, on 1 devices) [10/26 07:50:56] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:11 (0.047876 s / iter per device, on 1 devices) [10/26 07:50:56] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 07:52:00] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 07:52:00] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 07:52:00] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 07:52:00] d2.evaluation.testing INFO: copypaste: 6.1184,13.0029,5.5452 [10/26 07:52:00] d2.utils.events INFO: eta: 14:36:50 iter: 21599 total_loss: 2.36 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04127 loss_box_reg_sup: 0.368 loss_rpn_cls_sup: 0.03597 loss_rpn_loc_sup: 0.3094 loss_cls_unsup: 0.2731 loss_box_reg_unsup: 0.5274 loss_rpn_cls_unsup: 0.3194 loss_rpn_loc_unsup: 0.4614 time: 6.0398 data_time: 0.8223 lr: 0.016 max_mem: 18367M [10/26 07:54:14] d2.utils.events INFO: eta: 14:34:40 iter: 21619 total_loss: 2.44 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04023 loss_box_reg_sup: 0.3531 loss_rpn_cls_sup: 0.0344 loss_rpn_loc_sup: 0.3175 loss_cls_unsup: 0.2762 loss_box_reg_unsup: 0.5198 loss_rpn_cls_unsup: 0.3406 loss_rpn_loc_unsup: 0.5819 time: 6.0404 data_time: 0.8602 lr: 0.016 max_mem: 18367M [10/26 07:56:32] d2.utils.events INFO: eta: 14:32:59 iter: 21639 total_loss: 2.453 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04289 loss_box_reg_sup: 0.3551 loss_rpn_cls_sup: 0.03185 loss_rpn_loc_sup: 0.3051 loss_cls_unsup: 0.2794 loss_box_reg_unsup: 0.5195 loss_rpn_cls_unsup: 0.3287 loss_rpn_loc_unsup: 0.63 time: 6.0412 data_time: 0.8304 lr: 0.016 max_mem: 18367M [10/26 07:58:51] d2.utils.events INFO: eta: 14:30:54 iter: 21659 total_loss: 2.398 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03927 loss_box_reg_sup: 0.3308 loss_rpn_cls_sup: 0.03866 loss_rpn_loc_sup: 0.3056 loss_cls_unsup: 0.2767 loss_box_reg_unsup: 0.535 loss_rpn_cls_unsup: 0.3433 loss_rpn_loc_unsup: 0.5604 time: 6.0420 data_time: 0.8320 lr: 0.016 max_mem: 18367M [10/26 08:00:57] d2.utils.events INFO: eta: 14:28:48 iter: 21679 total_loss: 2.347 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03454 loss_box_reg_sup: 0.3248 loss_rpn_cls_sup: 0.03375 loss_rpn_loc_sup: 0.2918 loss_cls_unsup: 0.2778 loss_box_reg_unsup: 0.5179 loss_rpn_cls_unsup: 0.3353 loss_rpn_loc_unsup: 0.5268 time: 6.0422 data_time: 0.8128 lr: 0.016 max_mem: 18367M [10/26 08:03:11] d2.utils.events INFO: eta: 14:26:55 iter: 21699 total_loss: 2.341 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03889 loss_box_reg_sup: 0.3434 loss_rpn_cls_sup: 0.03652 loss_rpn_loc_sup: 0.3024 loss_cls_unsup: 0.2692 loss_box_reg_unsup: 0.5017 loss_rpn_cls_unsup: 0.3323 loss_rpn_loc_unsup: 0.5086 time: 6.0428 data_time: 0.8166 lr: 0.016 max_mem: 18367M [10/26 08:05:19] d2.utils.events INFO: eta: 14:25:00 iter: 21719 total_loss: 2.386 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04067 loss_box_reg_sup: 0.356 loss_rpn_cls_sup: 0.03229 loss_rpn_loc_sup: 0.307 loss_cls_unsup: 0.2759 loss_box_reg_unsup: 0.4935 loss_rpn_cls_unsup: 0.3527 loss_rpn_loc_unsup: 0.5314 time: 6.0432 data_time: 0.8675 lr: 0.016 max_mem: 18367M [10/26 08:07:30] d2.utils.events INFO: eta: 14:22:46 iter: 21739 total_loss: 2.472 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0396 loss_box_reg_sup: 0.3683 loss_rpn_cls_sup: 0.03798 loss_rpn_loc_sup: 0.3214 loss_cls_unsup: 0.2638 loss_box_reg_unsup: 0.5183 loss_rpn_cls_unsup: 0.3547 loss_rpn_loc_unsup: 0.591 time: 6.0437 data_time: 0.8256 lr: 0.016 max_mem: 18367M [10/26 08:09:38] d2.utils.events INFO: eta: 14:20:39 iter: 21759 total_loss: 2.454 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04218 loss_box_reg_sup: 0.3577 loss_rpn_cls_sup: 0.03652 loss_rpn_loc_sup: 0.3107 loss_cls_unsup: 0.2701 loss_box_reg_unsup: 0.5203 loss_rpn_cls_unsup: 0.3383 loss_rpn_loc_unsup: 0.5732 time: 6.0440 data_time: 0.8435 lr: 0.016 max_mem: 18367M [10/26 08:11:44] d2.utils.events INFO: eta: 14:18:34 iter: 21779 total_loss: 2.416 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03903 loss_box_reg_sup: 0.3431 loss_rpn_cls_sup: 0.03705 loss_rpn_loc_sup: 0.3241 loss_cls_unsup: 0.2765 loss_box_reg_unsup: 0.5234 loss_rpn_cls_unsup: 0.3451 loss_rpn_loc_unsup: 0.5385 time: 6.0442 data_time: 0.8602 lr: 0.016 max_mem: 18367M [10/26 08:13:53] d2.utils.events INFO: eta: 14:16:27 iter: 21799 total_loss: 2.476 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03798 loss_box_reg_sup: 0.3351 loss_rpn_cls_sup: 0.03656 loss_rpn_loc_sup: 0.3099 loss_cls_unsup: 0.2832 loss_box_reg_unsup: 0.5252 loss_rpn_cls_unsup: 0.3408 loss_rpn_loc_unsup: 0.5467 time: 6.0446 data_time: 0.7945 lr: 0.016 max_mem: 18367M [10/26 08:16:15] d2.utils.events INFO: eta: 14:14:05 iter: 21819 total_loss: 2.431 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0411 loss_box_reg_sup: 0.3473 loss_rpn_cls_sup: 0.03625 loss_rpn_loc_sup: 0.2945 loss_cls_unsup: 0.2764 loss_box_reg_unsup: 0.5081 loss_rpn_cls_unsup: 0.3407 loss_rpn_loc_unsup: 0.5574 time: 6.0456 data_time: 0.8268 lr: 0.016 max_mem: 18367M [10/26 08:18:29] d2.utils.events INFO: eta: 14:12:10 iter: 21839 total_loss: 2.332 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03694 loss_box_reg_sup: 0.3408 loss_rpn_cls_sup: 0.03205 loss_rpn_loc_sup: 0.3117 loss_cls_unsup: 0.266 loss_box_reg_unsup: 0.5003 loss_rpn_cls_unsup: 0.3347 loss_rpn_loc_unsup: 0.5434 time: 6.0461 data_time: 0.8053 lr: 0.016 max_mem: 18367M [10/26 08:20:36] d2.utils.events INFO: eta: 14:10:01 iter: 21859 total_loss: 2.386 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0366 loss_box_reg_sup: 0.3333 loss_rpn_cls_sup: 0.03313 loss_rpn_loc_sup: 0.3179 loss_cls_unsup: 0.2701 loss_box_reg_unsup: 0.5428 loss_rpn_cls_unsup: 0.327 loss_rpn_loc_unsup: 0.5393 time: 6.0464 data_time: 0.8192 lr: 0.016 max_mem: 18367M [10/26 08:22:41] d2.utils.events INFO: eta: 14:08:04 iter: 21879 total_loss: 2.422 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03924 loss_box_reg_sup: 0.3553 loss_rpn_cls_sup: 0.03554 loss_rpn_loc_sup: 0.3116 loss_cls_unsup: 0.2733 loss_box_reg_unsup: 0.5232 loss_rpn_cls_unsup: 0.3455 loss_rpn_loc_unsup: 0.5565 time: 6.0466 data_time: 0.8193 lr: 0.016 max_mem: 18367M [10/26 08:24:47] d2.utils.events INFO: eta: 14:05:54 iter: 21899 total_loss: 2.477 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0367 loss_box_reg_sup: 0.332 loss_rpn_cls_sup: 0.03548 loss_rpn_loc_sup: 0.306 loss_cls_unsup: 0.289 loss_box_reg_unsup: 0.5295 loss_rpn_cls_unsup: 0.3589 loss_rpn_loc_unsup: 0.5501 time: 6.0468 data_time: 0.8474 lr: 0.016 max_mem: 18367M [10/26 08:26:53] d2.utils.events INFO: eta: 14:03:20 iter: 21919 total_loss: 2.444 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04015 loss_box_reg_sup: 0.3579 loss_rpn_cls_sup: 0.03703 loss_rpn_loc_sup: 0.3196 loss_cls_unsup: 0.2789 loss_box_reg_unsup: 0.5157 loss_rpn_cls_unsup: 0.3426 loss_rpn_loc_unsup: 0.5782 time: 6.0470 data_time: 0.8103 lr: 0.016 max_mem: 18367M [10/26 08:29:00] d2.utils.events INFO: eta: 14:01:11 iter: 21939 total_loss: 2.433 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04095 loss_box_reg_sup: 0.345 loss_rpn_cls_sup: 0.03211 loss_rpn_loc_sup: 0.3023 loss_cls_unsup: 0.281 loss_box_reg_unsup: 0.517 loss_rpn_cls_unsup: 0.332 loss_rpn_loc_unsup: 0.5684 time: 6.0474 data_time: 0.8334 lr: 0.016 max_mem: 18367M [10/26 08:31:11] d2.utils.events INFO: eta: 13:59:43 iter: 21959 total_loss: 2.461 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03869 loss_box_reg_sup: 0.3382 loss_rpn_cls_sup: 0.0316 loss_rpn_loc_sup: 0.311 loss_cls_unsup: 0.2807 loss_box_reg_unsup: 0.5247 loss_rpn_cls_unsup: 0.3572 loss_rpn_loc_unsup: 0.569 time: 6.0478 data_time: 0.8929 lr: 0.016 max_mem: 18367M [10/26 08:33:28] d2.utils.events INFO: eta: 13:57:51 iter: 21979 total_loss: 2.478 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04099 loss_box_reg_sup: 0.3747 loss_rpn_cls_sup: 0.03577 loss_rpn_loc_sup: 0.3387 loss_cls_unsup: 0.2772 loss_box_reg_unsup: 0.5334 loss_rpn_cls_unsup: 0.3404 loss_rpn_loc_unsup: 0.5178 time: 6.0485 data_time: 0.9067 lr: 0.016 max_mem: 18367M [10/26 08:35:42] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 08:35:42] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 08:35:42] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 08:35:42] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 08:35:43] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0007 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:03:32 [10/26 08:35:48] d2.evaluation.evaluator INFO: Inference done 132/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:03:32 [10/26 08:35:53] d2.evaluation.evaluator INFO: Inference done 244/5258. Dataloading: 0.0011 s/iter. Inference: 0.0414 s/iter. Eval: 0.0005 s/iter. Total: 0.0431 s/iter. ETA=0:03:35 [10/26 08:35:58] d2.evaluation.evaluator INFO: Inference done 359/5258. Dataloading: 0.0011 s/iter. 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ETA=0:01:40 [10/26 08:37:49] d2.evaluation.evaluator INFO: Inference done 2993/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:01:35 [10/26 08:37:54] d2.evaluation.evaluator INFO: Inference done 3110/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:01:30 [10/26 08:37:59] d2.evaluation.evaluator INFO: Inference done 3229/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:01:25 [10/26 08:38:04] d2.evaluation.evaluator INFO: Inference done 3354/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:01:20 [10/26 08:38:09] d2.evaluation.evaluator INFO: Inference done 3482/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:01:14 [10/26 08:38:14] d2.evaluation.evaluator INFO: Inference done 3601/5258. 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ETA=0:00:21 [10/26 08:39:09] d2.evaluation.evaluator INFO: Inference done 4856/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:00:17 [10/26 08:39:14] d2.evaluation.evaluator INFO: Inference done 4969/5258. Dataloading: 0.0011 s/iter. Inference: 0.0410 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:00:12 [10/26 08:39:19] d2.evaluation.evaluator INFO: Inference done 5088/5258. Dataloading: 0.0011 s/iter. Inference: 0.0410 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:00:07 [10/26 08:39:24] d2.evaluation.evaluator INFO: Inference done 5210/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:00:02 [10/26 08:39:26] d2.evaluation.evaluator INFO: Total inference time: 0:03:43.439196 (0.042536 s / iter per device, on 1 devices) [10/26 08:39:26] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:35 (0.040972 s / iter per device, on 1 devices) [10/26 08:39:26] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 08:40:33] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 08:40:33] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 08:40:33] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 08:40:33] d2.evaluation.testing INFO: copypaste: 6.0306,12.9042,5.2473 [10/26 08:40:35] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 08:40:35] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 08:40:35] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 08:40:35] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 08:40:36] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0011 s/iter. Inference: 0.0508 s/iter. Eval: 0.0005 s/iter. Total: 0.0524 s/iter. ETA=0:04:35 [10/26 08:40:41] d2.evaluation.evaluator INFO: Inference done 112/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:04:16 [10/26 08:40:46] d2.evaluation.evaluator INFO: Inference done 213/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:04:10 [10/26 08:40:51] d2.evaluation.evaluator INFO: Inference done 312/5258. Dataloading: 0.0011 s/iter. 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Total: 0.0498 s/iter. ETA=0:00:05 [10/26 08:44:57] d2.evaluation.evaluator INFO: Inference done 5257/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:00:00 [10/26 08:44:57] d2.evaluation.evaluator INFO: Total inference time: 0:04:21.681720 (0.049816 s / iter per device, on 1 devices) [10/26 08:44:57] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:13 (0.048188 s / iter per device, on 1 devices) [10/26 08:44:57] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 08:46:02] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 08:46:02] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 08:46:02] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 08:46:02] d2.evaluation.testing INFO: copypaste: 6.1250,13.0160,5.5614 [10/26 08:46:02] d2.utils.events INFO: eta: 13:55:52 iter: 21999 total_loss: 2.275 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03905 loss_box_reg_sup: 0.3265 loss_rpn_cls_sup: 0.03168 loss_rpn_loc_sup: 0.2808 loss_cls_unsup: 0.2764 loss_box_reg_unsup: 0.5418 loss_rpn_cls_unsup: 0.315 loss_rpn_loc_unsup: 0.4915 time: 6.0488 data_time: 0.8686 lr: 0.016 max_mem: 18367M [10/26 08:48:20] d2.utils.events INFO: eta: 13:54:15 iter: 22019 total_loss: 2.451 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04024 loss_box_reg_sup: 0.348 loss_rpn_cls_sup: 0.035 loss_rpn_loc_sup: 0.3044 loss_cls_unsup: 0.2653 loss_box_reg_unsup: 0.53 loss_rpn_cls_unsup: 0.3316 loss_rpn_loc_unsup: 0.5573 time: 6.0496 data_time: 0.8952 lr: 0.016 max_mem: 18367M [10/26 08:50:27] d2.utils.events INFO: eta: 13:52:32 iter: 22039 total_loss: 2.463 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04442 loss_box_reg_sup: 0.3982 loss_rpn_cls_sup: 0.03768 loss_rpn_loc_sup: 0.3366 loss_cls_unsup: 0.2658 loss_box_reg_unsup: 0.5089 loss_rpn_cls_unsup: 0.3436 loss_rpn_loc_unsup: 0.5201 time: 6.0499 data_time: 0.8498 lr: 0.016 max_mem: 18367M [10/26 08:52:48] d2.utils.events INFO: eta: 13:50:52 iter: 22059 total_loss: 2.543 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0408 loss_box_reg_sup: 0.367 loss_rpn_cls_sup: 0.03631 loss_rpn_loc_sup: 0.3235 loss_cls_unsup: 0.268 loss_box_reg_unsup: 0.5519 loss_rpn_cls_unsup: 0.3452 loss_rpn_loc_unsup: 0.5007 time: 6.0507 data_time: 0.8499 lr: 0.016 max_mem: 18367M [10/26 08:55:00] d2.utils.events INFO: eta: 13:49:01 iter: 22079 total_loss: 2.519 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04026 loss_box_reg_sup: 0.3616 loss_rpn_cls_sup: 0.03516 loss_rpn_loc_sup: 0.2886 loss_cls_unsup: 0.2793 loss_box_reg_unsup: 0.5383 loss_rpn_cls_unsup: 0.3566 loss_rpn_loc_unsup: 0.5683 time: 6.0513 data_time: 0.8768 lr: 0.016 max_mem: 18367M [10/26 08:57:13] d2.utils.events INFO: eta: 13:46:57 iter: 22099 total_loss: 2.494 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03863 loss_box_reg_sup: 0.3555 loss_rpn_cls_sup: 0.03566 loss_rpn_loc_sup: 0.3159 loss_cls_unsup: 0.2658 loss_box_reg_unsup: 0.5429 loss_rpn_cls_unsup: 0.3577 loss_rpn_loc_unsup: 0.621 time: 6.0518 data_time: 0.8625 lr: 0.016 max_mem: 18367M [10/26 08:59:27] d2.utils.events INFO: eta: 13:44:53 iter: 22119 total_loss: 2.484 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03937 loss_box_reg_sup: 0.3481 loss_rpn_cls_sup: 0.03423 loss_rpn_loc_sup: 0.3228 loss_cls_unsup: 0.2902 loss_box_reg_unsup: 0.5228 loss_rpn_cls_unsup: 0.3568 loss_rpn_loc_unsup: 0.5607 time: 6.0524 data_time: 0.8482 lr: 0.016 max_mem: 18367M [10/26 09:01:42] d2.utils.events INFO: eta: 13:42:59 iter: 22139 total_loss: 2.556 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03883 loss_box_reg_sup: 0.3636 loss_rpn_cls_sup: 0.03665 loss_rpn_loc_sup: 0.3448 loss_cls_unsup: 0.2601 loss_box_reg_unsup: 0.5486 loss_rpn_cls_unsup: 0.3659 loss_rpn_loc_unsup: 0.5882 time: 6.0530 data_time: 0.8086 lr: 0.016 max_mem: 18367M [10/26 09:04:02] d2.utils.events INFO: eta: 13:40:53 iter: 22159 total_loss: 2.465 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04248 loss_box_reg_sup: 0.3539 loss_rpn_cls_sup: 0.03929 loss_rpn_loc_sup: 0.3164 loss_cls_unsup: 0.2903 loss_box_reg_unsup: 0.534 loss_rpn_cls_unsup: 0.3462 loss_rpn_loc_unsup: 0.5462 time: 6.0538 data_time: 0.8189 lr: 0.016 max_mem: 18367M [10/26 09:06:10] d2.utils.events INFO: eta: 13:38:48 iter: 22179 total_loss: 2.493 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03952 loss_box_reg_sup: 0.3616 loss_rpn_cls_sup: 0.03593 loss_rpn_loc_sup: 0.3208 loss_cls_unsup: 0.2733 loss_box_reg_unsup: 0.541 loss_rpn_cls_unsup: 0.3498 loss_rpn_loc_unsup: 0.576 time: 6.0542 data_time: 0.8740 lr: 0.016 max_mem: 18367M [10/26 09:08:20] d2.utils.events INFO: eta: 13:37:13 iter: 22199 total_loss: 2.476 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04016 loss_box_reg_sup: 0.3574 loss_rpn_cls_sup: 0.03364 loss_rpn_loc_sup: 0.2976 loss_cls_unsup: 0.287 loss_box_reg_unsup: 0.5195 loss_rpn_cls_unsup: 0.3565 loss_rpn_loc_unsup: 0.5427 time: 6.0546 data_time: 0.8646 lr: 0.016 max_mem: 18367M [10/26 09:10:30] d2.utils.events INFO: eta: 13:34:48 iter: 22219 total_loss: 2.435 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03818 loss_box_reg_sup: 0.3485 loss_rpn_cls_sup: 0.03496 loss_rpn_loc_sup: 0.2995 loss_cls_unsup: 0.2681 loss_box_reg_unsup: 0.5309 loss_rpn_cls_unsup: 0.3487 loss_rpn_loc_unsup: 0.5983 time: 6.0550 data_time: 0.8234 lr: 0.016 max_mem: 18367M [10/26 09:12:47] d2.utils.events INFO: eta: 13:33:05 iter: 22239 total_loss: 2.372 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03838 loss_box_reg_sup: 0.3317 loss_rpn_cls_sup: 0.03361 loss_rpn_loc_sup: 0.3017 loss_cls_unsup: 0.27 loss_box_reg_unsup: 0.5223 loss_rpn_cls_unsup: 0.3413 loss_rpn_loc_unsup: 0.5373 time: 6.0557 data_time: 0.8360 lr: 0.016 max_mem: 18367M [10/26 09:14:52] d2.utils.events INFO: eta: 13:30:31 iter: 22259 total_loss: 2.411 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04088 loss_box_reg_sup: 0.3517 loss_rpn_cls_sup: 0.03566 loss_rpn_loc_sup: 0.2964 loss_cls_unsup: 0.2764 loss_box_reg_unsup: 0.5096 loss_rpn_cls_unsup: 0.3345 loss_rpn_loc_unsup: 0.529 time: 6.0558 data_time: 0.8229 lr: 0.016 max_mem: 18367M [10/26 09:17:01] d2.utils.events INFO: eta: 13:28:50 iter: 22279 total_loss: 2.437 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03649 loss_box_reg_sup: 0.3542 loss_rpn_cls_sup: 0.03407 loss_rpn_loc_sup: 0.3129 loss_cls_unsup: 0.2693 loss_box_reg_unsup: 0.519 loss_rpn_cls_unsup: 0.3544 loss_rpn_loc_unsup: 0.628 time: 6.0562 data_time: 0.8467 lr: 0.016 max_mem: 18367M [10/26 09:19:10] d2.utils.events INFO: eta: 13:26:44 iter: 22299 total_loss: 2.542 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04284 loss_box_reg_sup: 0.4023 loss_rpn_cls_sup: 0.03457 loss_rpn_loc_sup: 0.3157 loss_cls_unsup: 0.2893 loss_box_reg_unsup: 0.542 loss_rpn_cls_unsup: 0.3621 loss_rpn_loc_unsup: 0.5643 time: 6.0566 data_time: 0.8018 lr: 0.016 max_mem: 18367M [10/26 09:21:19] d2.utils.events INFO: eta: 13:24:55 iter: 22319 total_loss: 2.385 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03844 loss_box_reg_sup: 0.3407 loss_rpn_cls_sup: 0.03537 loss_rpn_loc_sup: 0.3041 loss_cls_unsup: 0.292 loss_box_reg_unsup: 0.5282 loss_rpn_cls_unsup: 0.3586 loss_rpn_loc_unsup: 0.5165 time: 6.0569 data_time: 0.8756 lr: 0.016 max_mem: 18367M [10/26 09:23:26] d2.utils.events INFO: eta: 13:22:56 iter: 22339 total_loss: 2.517 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03981 loss_box_reg_sup: 0.3643 loss_rpn_cls_sup: 0.03448 loss_rpn_loc_sup: 0.2885 loss_cls_unsup: 0.2695 loss_box_reg_unsup: 0.5263 loss_rpn_cls_unsup: 0.3667 loss_rpn_loc_unsup: 0.642 time: 6.0572 data_time: 0.8183 lr: 0.016 max_mem: 18367M [10/26 09:25:34] d2.utils.events INFO: eta: 13:20:48 iter: 22359 total_loss: 2.539 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04086 loss_box_reg_sup: 0.3449 loss_rpn_cls_sup: 0.03341 loss_rpn_loc_sup: 0.3049 loss_cls_unsup: 0.2783 loss_box_reg_unsup: 0.5334 loss_rpn_cls_unsup: 0.3504 loss_rpn_loc_unsup: 0.6122 time: 6.0575 data_time: 0.8378 lr: 0.016 max_mem: 18367M [10/26 09:27:56] d2.utils.events INFO: eta: 13:18:42 iter: 22379 total_loss: 2.557 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03758 loss_box_reg_sup: 0.3169 loss_rpn_cls_sup: 0.03095 loss_rpn_loc_sup: 0.303 loss_cls_unsup: 0.2821 loss_box_reg_unsup: 0.542 loss_rpn_cls_unsup: 0.3644 loss_rpn_loc_unsup: 0.6207 time: 6.0584 data_time: 0.8208 lr: 0.016 max_mem: 18367M [10/26 09:30:16] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 09:30:16] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 09:30:16] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 09:30:16] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 09:30:17] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0418 s/iter. Eval: 0.0005 s/iter. Total: 0.0433 s/iter. ETA=0:03:47 [10/26 09:30:22] d2.evaluation.evaluator INFO: Inference done 131/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:03:34 [10/26 09:30:27] d2.evaluation.evaluator INFO: Inference done 245/5258. Dataloading: 0.0010 s/iter. Inference: 0.0413 s/iter. Eval: 0.0005 s/iter. Total: 0.0428 s/iter. ETA=0:03:34 [10/26 09:30:32] d2.evaluation.evaluator INFO: Inference done 354/5258. Dataloading: 0.0011 s/iter. Inference: 0.0423 s/iter. Eval: 0.0005 s/iter. Total: 0.0438 s/iter. ETA=0:03:35 [10/26 09:30:37] d2.evaluation.evaluator INFO: Inference done 478/5258. Dataloading: 0.0011 s/iter. Inference: 0.0413 s/iter. Eval: 0.0004 s/iter. Total: 0.0429 s/iter. ETA=0:03:25 [10/26 09:30:42] d2.evaluation.evaluator INFO: Inference done 582/5258. Dataloading: 0.0011 s/iter. Inference: 0.0422 s/iter. Eval: 0.0005 s/iter. Total: 0.0439 s/iter. ETA=0:03:25 [10/26 09:30:47] d2.evaluation.evaluator INFO: Inference done 704/5258. Dataloading: 0.0011 s/iter. Inference: 0.0418 s/iter. Eval: 0.0004 s/iter. Total: 0.0434 s/iter. ETA=0:03:17 [10/26 09:30:52] d2.evaluation.evaluator INFO: Inference done 834/5258. Dataloading: 0.0011 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:03:08 [10/26 09:30:57] d2.evaluation.evaluator INFO: Inference done 964/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0004 s/iter. Total: 0.0420 s/iter. ETA=0:03:00 [10/26 09:31:02] d2.evaluation.evaluator INFO: Inference done 1089/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:02:54 [10/26 09:31:07] d2.evaluation.evaluator INFO: Inference done 1213/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:02:48 [10/26 09:31:12] d2.evaluation.evaluator INFO: Inference done 1331/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:02:43 [10/26 09:31:18] d2.evaluation.evaluator INFO: Inference done 1447/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:02:39 [10/26 09:31:23] d2.evaluation.evaluator INFO: Inference done 1568/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:02:34 [10/26 09:31:28] d2.evaluation.evaluator INFO: Inference done 1679/5258. 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ETA=0:01:40 [10/26 09:32:23] d2.evaluation.evaluator INFO: Inference done 3007/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:01:34 [10/26 09:32:28] d2.evaluation.evaluator INFO: Inference done 3128/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:01:29 [10/26 09:32:33] d2.evaluation.evaluator INFO: Inference done 3246/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:01:24 [10/26 09:32:38] d2.evaluation.evaluator INFO: Inference done 3368/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:01:19 [10/26 09:32:43] d2.evaluation.evaluator INFO: Inference done 3495/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:01:13 [10/26 09:32:48] d2.evaluation.evaluator INFO: Inference done 3608/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:01:09 [10/26 09:32:53] d2.evaluation.evaluator INFO: Inference done 3723/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:01:04 [10/26 09:32:58] d2.evaluation.evaluator INFO: Inference done 3849/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:58 [10/26 09:33:03] d2.evaluation.evaluator INFO: Inference done 3941/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:00:55 [10/26 09:33:08] d2.evaluation.evaluator INFO: Inference done 4057/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:00:50 [10/26 09:33:13] d2.evaluation.evaluator INFO: Inference done 4165/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:00:46 [10/26 09:33:18] d2.evaluation.evaluator INFO: Inference done 4285/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:00:41 [10/26 09:33:23] d2.evaluation.evaluator INFO: Inference done 4388/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:00:36 [10/26 09:33:28] d2.evaluation.evaluator INFO: Inference done 4509/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:00:31 [10/26 09:33:33] d2.evaluation.evaluator INFO: Inference done 4639/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:00:26 [10/26 09:33:38] d2.evaluation.evaluator INFO: Inference done 4761/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:00:21 [10/26 09:33:43] d2.evaluation.evaluator INFO: Inference done 4889/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:00:15 [10/26 09:33:48] d2.evaluation.evaluator INFO: Inference done 5017/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:00:10 [10/26 09:33:53] d2.evaluation.evaluator INFO: Inference done 5137/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:00:05 [10/26 09:33:58] d2.evaluation.evaluator INFO: Inference done 5238/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:00:00 [10/26 09:33:59] d2.evaluation.evaluator INFO: Total inference time: 0:03:42.233563 (0.042306 s / iter per device, on 1 devices) [10/26 09:33:59] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:33 (0.040735 s / iter per device, on 1 devices) [10/26 09:33:59] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 09:35:08] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 09:35:08] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 09:35:08] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 09:35:08] d2.evaluation.testing INFO: copypaste: 5.5388,11.5460,5.0435 [10/26 09:35:09] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 09:35:09] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 09:35:09] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 09:35:09] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 09:35:11] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0494 s/iter. Eval: 0.0005 s/iter. Total: 0.0509 s/iter. ETA=0:04:26 [10/26 09:35:16] d2.evaluation.evaluator INFO: Inference done 112/5258. Dataloading: 0.0010 s/iter. Inference: 0.0484 s/iter. Eval: 0.0004 s/iter. Total: 0.0499 s/iter. ETA=0:04:16 [10/26 09:35:21] d2.evaluation.evaluator INFO: Inference done 209/5258. Dataloading: 0.0014 s/iter. Inference: 0.0490 s/iter. Eval: 0.0004 s/iter. Total: 0.0508 s/iter. ETA=0:04:16 [10/26 09:35:26] d2.evaluation.evaluator INFO: Inference done 305/5258. Dataloading: 0.0014 s/iter. Inference: 0.0495 s/iter. Eval: 0.0004 s/iter. Total: 0.0513 s/iter. ETA=0:04:14 [10/26 09:35:31] d2.evaluation.evaluator INFO: Inference done 402/5258. Dataloading: 0.0013 s/iter. Inference: 0.0497 s/iter. Eval: 0.0005 s/iter. Total: 0.0515 s/iter. ETA=0:04:10 [10/26 09:35:36] d2.evaluation.evaluator INFO: Inference done 502/5258. Dataloading: 0.0013 s/iter. Inference: 0.0495 s/iter. Eval: 0.0005 s/iter. Total: 0.0513 s/iter. ETA=0:04:03 [10/26 09:35:41] d2.evaluation.evaluator INFO: Inference done 605/5258. Dataloading: 0.0012 s/iter. Inference: 0.0491 s/iter. Eval: 0.0005 s/iter. Total: 0.0508 s/iter. ETA=0:03:56 [10/26 09:35:46] d2.evaluation.evaluator INFO: Inference done 706/5258. Dataloading: 0.0012 s/iter. Inference: 0.0490 s/iter. Eval: 0.0005 s/iter. Total: 0.0507 s/iter. ETA=0:03:50 [10/26 09:35:51] d2.evaluation.evaluator INFO: Inference done 807/5258. Dataloading: 0.0012 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:03:45 [10/26 09:35:56] d2.evaluation.evaluator INFO: Inference done 906/5258. Dataloading: 0.0012 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:03:40 [10/26 09:36:01] d2.evaluation.evaluator INFO: Inference done 1005/5258. Dataloading: 0.0012 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:03:35 [10/26 09:36:06] d2.evaluation.evaluator INFO: Inference done 1109/5258. Dataloading: 0.0012 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0504 s/iter. ETA=0:03:29 [10/26 09:36:11] d2.evaluation.evaluator INFO: Inference done 1211/5258. Dataloading: 0.0012 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:03:23 [10/26 09:36:16] d2.evaluation.evaluator INFO: Inference done 1312/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:03:18 [10/26 09:36:21] d2.evaluation.evaluator INFO: Inference done 1412/5258. 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Total: 0.0504 s/iter. ETA=0:02:48 [10/26 09:36:51] d2.evaluation.evaluator INFO: Inference done 2009/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0504 s/iter. ETA=0:02:43 [10/26 09:36:56] d2.evaluation.evaluator INFO: Inference done 2108/5258. Dataloading: 0.0012 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0504 s/iter. ETA=0:02:38 [10/26 09:37:01] d2.evaluation.evaluator INFO: Inference done 2211/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:02:33 [10/26 09:37:06] d2.evaluation.evaluator INFO: Inference done 2311/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:02:28 [10/26 09:37:11] d2.evaluation.evaluator INFO: Inference done 2413/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:02:22 [10/26 09:37:16] d2.evaluation.evaluator INFO: Inference done 2512/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:02:18 [10/26 09:37:21] d2.evaluation.evaluator INFO: Inference done 2611/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:02:13 [10/26 09:37:26] d2.evaluation.evaluator INFO: Inference done 2711/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:02:08 [10/26 09:37:31] d2.evaluation.evaluator INFO: Inference done 2813/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:02:02 [10/26 09:37:36] d2.evaluation.evaluator INFO: Inference done 2912/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:01:58 [10/26 09:37:42] d2.evaluation.evaluator INFO: Inference done 3011/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:01:53 [10/26 09:37:47] d2.evaluation.evaluator INFO: Inference done 3111/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:01:48 [10/26 09:37:52] d2.evaluation.evaluator INFO: Inference done 3210/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:01:43 [10/26 09:37:57] d2.evaluation.evaluator INFO: Inference done 3312/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:01:37 [10/26 09:38:02] d2.evaluation.evaluator INFO: Inference done 3414/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:01:32 [10/26 09:38:07] d2.evaluation.evaluator INFO: Inference done 3512/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. 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ETA=0:01:01 [10/26 09:38:37] d2.evaluation.evaluator INFO: Inference done 4127/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:00:56 [10/26 09:38:42] d2.evaluation.evaluator INFO: Inference done 4228/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:00:51 [10/26 09:38:47] d2.evaluation.evaluator INFO: Inference done 4328/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:00:46 [10/26 09:38:52] d2.evaluation.evaluator INFO: Inference done 4429/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0004 s/iter. Total: 0.0501 s/iter. ETA=0:00:41 [10/26 09:38:57] d2.evaluation.evaluator INFO: Inference done 4531/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0004 s/iter. Total: 0.0501 s/iter. ETA=0:00:36 [10/26 09:39:02] d2.evaluation.evaluator INFO: Inference done 4634/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0004 s/iter. Total: 0.0501 s/iter. ETA=0:00:31 [10/26 09:39:07] d2.evaluation.evaluator INFO: Inference done 4737/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0004 s/iter. Total: 0.0500 s/iter. ETA=0:00:26 [10/26 09:39:12] d2.evaluation.evaluator INFO: Inference done 4840/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0004 s/iter. Total: 0.0500 s/iter. ETA=0:00:20 [10/26 09:39:17] d2.evaluation.evaluator INFO: Inference done 4944/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0004 s/iter. Total: 0.0500 s/iter. ETA=0:00:15 [10/26 09:39:22] d2.evaluation.evaluator INFO: Inference done 5044/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0004 s/iter. Total: 0.0500 s/iter. ETA=0:00:10 [10/26 09:39:27] d2.evaluation.evaluator INFO: Inference done 5144/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0004 s/iter. Total: 0.0500 s/iter. ETA=0:00:05 [10/26 09:39:32] d2.evaluation.evaluator INFO: Inference done 5245/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0004 s/iter. Total: 0.0500 s/iter. ETA=0:00:00 [10/26 09:39:33] d2.evaluation.evaluator INFO: Total inference time: 0:04:22.531801 (0.049977 s / iter per device, on 1 devices) [10/26 09:39:33] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:14 (0.048361 s / iter per device, on 1 devices) [10/26 09:39:33] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 09:40:36] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 09:40:36] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 09:40:36] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 09:40:36] d2.evaluation.testing INFO: copypaste: 6.1306,12.9976,5.5753 [10/26 09:40:36] d2.utils.events INFO: eta: 13:16:50 iter: 22399 total_loss: 2.448 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03834 loss_box_reg_sup: 0.3488 loss_rpn_cls_sup: 0.03321 loss_rpn_loc_sup: 0.2891 loss_cls_unsup: 0.271 loss_box_reg_unsup: 0.5162 loss_rpn_cls_unsup: 0.3548 loss_rpn_loc_unsup: 0.5608 time: 6.0590 data_time: 0.8348 lr: 0.016 max_mem: 18367M [10/26 09:42:48] d2.utils.events INFO: eta: 13:14:55 iter: 22419 total_loss: 2.54 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04092 loss_box_reg_sup: 0.3411 loss_rpn_cls_sup: 0.03692 loss_rpn_loc_sup: 0.3078 loss_cls_unsup: 0.2746 loss_box_reg_unsup: 0.5432 loss_rpn_cls_unsup: 0.3581 loss_rpn_loc_unsup: 0.5787 time: 6.0595 data_time: 0.8614 lr: 0.016 max_mem: 18367M [10/26 09:45:06] d2.utils.events INFO: eta: 13:12:44 iter: 22439 total_loss: 2.518 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04047 loss_box_reg_sup: 0.3703 loss_rpn_cls_sup: 0.03477 loss_rpn_loc_sup: 0.3188 loss_cls_unsup: 0.2869 loss_box_reg_unsup: 0.5181 loss_rpn_cls_unsup: 0.3539 loss_rpn_loc_unsup: 0.5296 time: 6.0602 data_time: 0.8424 lr: 0.016 max_mem: 18367M [10/26 09:47:14] d2.utils.events INFO: eta: 13:10:44 iter: 22459 total_loss: 2.432 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03602 loss_box_reg_sup: 0.3097 loss_rpn_cls_sup: 0.03246 loss_rpn_loc_sup: 0.2938 loss_cls_unsup: 0.2674 loss_box_reg_unsup: 0.4983 loss_rpn_cls_unsup: 0.3618 loss_rpn_loc_unsup: 0.5425 time: 6.0605 data_time: 0.8169 lr: 0.016 max_mem: 18367M [10/26 09:49:29] d2.utils.events INFO: eta: 13:08:47 iter: 22479 total_loss: 2.511 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03552 loss_box_reg_sup: 0.3407 loss_rpn_cls_sup: 0.03084 loss_rpn_loc_sup: 0.3003 loss_cls_unsup: 0.2669 loss_box_reg_unsup: 0.5419 loss_rpn_cls_unsup: 0.3546 loss_rpn_loc_unsup: 0.6301 time: 6.0611 data_time: 0.8373 lr: 0.016 max_mem: 18367M [10/26 09:52:13] d2.utils.events INFO: eta: 13:07:25 iter: 22499 total_loss: 2.575 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03901 loss_box_reg_sup: 0.3577 loss_rpn_cls_sup: 0.0343 loss_rpn_loc_sup: 0.3208 loss_cls_unsup: 0.2767 loss_box_reg_unsup: 0.5659 loss_rpn_cls_unsup: 0.3501 loss_rpn_loc_unsup: 0.5844 time: 6.0630 data_time: 0.8303 lr: 0.016 max_mem: 18367M [10/26 09:54:27] d2.utils.events INFO: eta: 13:05:14 iter: 22519 total_loss: 2.592 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04294 loss_box_reg_sup: 0.3903 loss_rpn_cls_sup: 0.03523 loss_rpn_loc_sup: 0.3415 loss_cls_unsup: 0.2882 loss_box_reg_unsup: 0.5325 loss_rpn_cls_unsup: 0.3539 loss_rpn_loc_unsup: 0.6039 time: 6.0636 data_time: 0.8275 lr: 0.016 max_mem: 18367M [10/26 09:56:41] d2.utils.events INFO: eta: 13:03:13 iter: 22539 total_loss: 2.442 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03579 loss_box_reg_sup: 0.3276 loss_rpn_cls_sup: 0.03551 loss_rpn_loc_sup: 0.2931 loss_cls_unsup: 0.2701 loss_box_reg_unsup: 0.5245 loss_rpn_cls_unsup: 0.3417 loss_rpn_loc_unsup: 0.5594 time: 6.0641 data_time: 0.8160 lr: 0.016 max_mem: 18367M [10/26 09:58:54] d2.utils.events INFO: eta: 13:01:39 iter: 22559 total_loss: 2.49 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04223 loss_box_reg_sup: 0.3644 loss_rpn_cls_sup: 0.03671 loss_rpn_loc_sup: 0.2972 loss_cls_unsup: 0.2778 loss_box_reg_unsup: 0.557 loss_rpn_cls_unsup: 0.3515 loss_rpn_loc_unsup: 0.5649 time: 6.0646 data_time: 0.8781 lr: 0.016 max_mem: 18367M [10/26 10:01:08] d2.utils.events INFO: eta: 13:00:03 iter: 22579 total_loss: 2.445 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03572 loss_box_reg_sup: 0.3429 loss_rpn_cls_sup: 0.03342 loss_rpn_loc_sup: 0.3095 loss_cls_unsup: 0.2822 loss_box_reg_unsup: 0.526 loss_rpn_cls_unsup: 0.3519 loss_rpn_loc_unsup: 0.515 time: 6.0652 data_time: 0.8392 lr: 0.016 max_mem: 18367M [10/26 10:03:20] d2.utils.events INFO: eta: 12:58:13 iter: 22599 total_loss: 2.383 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04138 loss_box_reg_sup: 0.3581 loss_rpn_cls_sup: 0.03769 loss_rpn_loc_sup: 0.3082 loss_cls_unsup: 0.2794 loss_box_reg_unsup: 0.5266 loss_rpn_cls_unsup: 0.3404 loss_rpn_loc_unsup: 0.574 time: 6.0657 data_time: 0.7982 lr: 0.016 max_mem: 18367M [10/26 10:05:34] d2.utils.events INFO: eta: 12:56:07 iter: 22619 total_loss: 2.521 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03994 loss_box_reg_sup: 0.3511 loss_rpn_cls_sup: 0.03181 loss_rpn_loc_sup: 0.316 loss_cls_unsup: 0.2778 loss_box_reg_unsup: 0.5265 loss_rpn_cls_unsup: 0.3635 loss_rpn_loc_unsup: 0.593 time: 6.0663 data_time: 0.8454 lr: 0.016 max_mem: 18367M [10/26 10:07:47] d2.utils.events INFO: eta: 12:54:00 iter: 22639 total_loss: 2.389 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03884 loss_box_reg_sup: 0.358 loss_rpn_cls_sup: 0.03477 loss_rpn_loc_sup: 0.3102 loss_cls_unsup: 0.2645 loss_box_reg_unsup: 0.5013 loss_rpn_cls_unsup: 0.3406 loss_rpn_loc_unsup: 0.5986 time: 6.0668 data_time: 0.8712 lr: 0.016 max_mem: 18367M [10/26 10:10:00] d2.utils.events INFO: eta: 12:51:47 iter: 22659 total_loss: 2.573 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04316 loss_box_reg_sup: 0.3882 loss_rpn_cls_sup: 0.03651 loss_rpn_loc_sup: 0.3277 loss_cls_unsup: 0.2708 loss_box_reg_unsup: 0.5467 loss_rpn_cls_unsup: 0.3508 loss_rpn_loc_unsup: 0.6578 time: 6.0673 data_time: 0.8415 lr: 0.016 max_mem: 18367M [10/26 10:12:13] d2.utils.events INFO: eta: 12:49:50 iter: 22679 total_loss: 2.571 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04191 loss_box_reg_sup: 0.3665 loss_rpn_cls_sup: 0.03761 loss_rpn_loc_sup: 0.3334 loss_cls_unsup: 0.2613 loss_box_reg_unsup: 0.5482 loss_rpn_cls_unsup: 0.3437 loss_rpn_loc_unsup: 0.5829 time: 6.0678 data_time: 0.8495 lr: 0.016 max_mem: 18367M [10/26 10:14:33] d2.utils.events INFO: eta: 12:47:55 iter: 22699 total_loss: 2.558 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04203 loss_box_reg_sup: 0.3609 loss_rpn_cls_sup: 0.03432 loss_rpn_loc_sup: 0.3226 loss_cls_unsup: 0.2722 loss_box_reg_unsup: 0.5583 loss_rpn_cls_unsup: 0.3581 loss_rpn_loc_unsup: 0.6115 time: 6.0686 data_time: 0.8606 lr: 0.016 max_mem: 18367M [10/26 10:16:54] d2.utils.events INFO: eta: 12:45:53 iter: 22719 total_loss: 2.584 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03797 loss_box_reg_sup: 0.3547 loss_rpn_cls_sup: 0.03247 loss_rpn_loc_sup: 0.3087 loss_cls_unsup: 0.2824 loss_box_reg_unsup: 0.5317 loss_rpn_cls_unsup: 0.336 loss_rpn_loc_unsup: 0.6329 time: 6.0695 data_time: 0.8713 lr: 0.016 max_mem: 18367M [10/26 10:19:14] d2.utils.events INFO: eta: 12:44:03 iter: 22739 total_loss: 2.452 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03815 loss_box_reg_sup: 0.339 loss_rpn_cls_sup: 0.03398 loss_rpn_loc_sup: 0.3094 loss_cls_unsup: 0.2912 loss_box_reg_unsup: 0.5386 loss_rpn_cls_unsup: 0.3474 loss_rpn_loc_unsup: 0.5922 time: 6.0703 data_time: 0.9163 lr: 0.016 max_mem: 18367M [10/26 10:21:21] d2.utils.events INFO: eta: 12:42:11 iter: 22759 total_loss: 2.436 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04021 loss_box_reg_sup: 0.3301 loss_rpn_cls_sup: 0.03425 loss_rpn_loc_sup: 0.2919 loss_cls_unsup: 0.2896 loss_box_reg_unsup: 0.5193 loss_rpn_cls_unsup: 0.359 loss_rpn_loc_unsup: 0.5553 time: 6.0705 data_time: 0.8392 lr: 0.016 max_mem: 18367M [10/26 10:23:32] d2.utils.events INFO: eta: 12:39:55 iter: 22779 total_loss: 2.531 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04318 loss_box_reg_sup: 0.3717 loss_rpn_cls_sup: 0.035 loss_rpn_loc_sup: 0.3282 loss_cls_unsup: 0.278 loss_box_reg_unsup: 0.5178 loss_rpn_cls_unsup: 0.3545 loss_rpn_loc_unsup: 0.5777 time: 6.0709 data_time: 0.8207 lr: 0.016 max_mem: 18367M [10/26 10:25:48] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 10:25:49] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 10:25:49] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 10:25:49] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 10:25:50] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0011 s/iter. Inference: 0.0497 s/iter. Eval: 0.0006 s/iter. Total: 0.0514 s/iter. ETA=0:04:29 [10/26 10:25:55] d2.evaluation.evaluator INFO: Inference done 109/5258. Dataloading: 0.0012 s/iter. Inference: 0.0494 s/iter. Eval: 0.0005 s/iter. Total: 0.0511 s/iter. ETA=0:04:23 [10/26 10:26:00] d2.evaluation.evaluator INFO: Inference done 209/5258. Dataloading: 0.0012 s/iter. Inference: 0.0491 s/iter. Eval: 0.0005 s/iter. Total: 0.0508 s/iter. ETA=0:04:16 [10/26 10:26:05] d2.evaluation.evaluator INFO: Inference done 319/5258. Dataloading: 0.0012 s/iter. Inference: 0.0472 s/iter. Eval: 0.0005 s/iter. Total: 0.0489 s/iter. ETA=0:04:01 [10/26 10:26:10] d2.evaluation.evaluator INFO: Inference done 444/5258. Dataloading: 0.0011 s/iter. Inference: 0.0448 s/iter. Eval: 0.0005 s/iter. Total: 0.0464 s/iter. ETA=0:03:43 [10/26 10:26:15] d2.evaluation.evaluator INFO: Inference done 572/5258. Dataloading: 0.0011 s/iter. Inference: 0.0432 s/iter. Eval: 0.0005 s/iter. Total: 0.0448 s/iter. ETA=0:03:29 [10/26 10:26:20] d2.evaluation.evaluator INFO: Inference done 702/5258. Dataloading: 0.0011 s/iter. Inference: 0.0420 s/iter. Eval: 0.0005 s/iter. Total: 0.0436 s/iter. ETA=0:03:18 [10/26 10:26:25] d2.evaluation.evaluator INFO: Inference done 830/5258. Dataloading: 0.0011 s/iter. Inference: 0.0413 s/iter. Eval: 0.0005 s/iter. Total: 0.0429 s/iter. ETA=0:03:10 [10/26 10:26:30] d2.evaluation.evaluator INFO: Inference done 961/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:03:01 [10/26 10:26:35] d2.evaluation.evaluator INFO: Inference done 1087/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:02:55 [10/26 10:26:40] d2.evaluation.evaluator INFO: Inference done 1200/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:02:51 [10/26 10:26:45] d2.evaluation.evaluator INFO: Inference done 1328/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:02:44 [10/26 10:26:50] d2.evaluation.evaluator INFO: Inference done 1450/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:02:39 [10/26 10:26:55] d2.evaluation.evaluator INFO: Inference done 1572/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:02:34 [10/26 10:27:00] d2.evaluation.evaluator INFO: Inference done 1690/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:02:29 [10/26 10:27:05] d2.evaluation.evaluator INFO: Inference done 1811/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:02:24 [10/26 10:27:10] d2.evaluation.evaluator INFO: Inference done 1940/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:02:18 [10/26 10:27:15] d2.evaluation.evaluator INFO: Inference done 2069/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:02:12 [10/26 10:27:20] d2.evaluation.evaluator INFO: Inference done 2200/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0413 s/iter. ETA=0:02:06 [10/26 10:27:25] d2.evaluation.evaluator INFO: Inference done 2326/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:02:00 [10/26 10:27:30] d2.evaluation.evaluator INFO: Inference done 2424/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:01:57 [10/26 10:27:35] d2.evaluation.evaluator INFO: Inference done 2538/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:01:53 [10/26 10:27:40] d2.evaluation.evaluator INFO: Inference done 2664/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:01:48 [10/26 10:27:45] d2.evaluation.evaluator INFO: Inference done 2790/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:01:42 [10/26 10:27:50] d2.evaluation.evaluator INFO: Inference done 2920/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:01:36 [10/26 10:27:55] d2.evaluation.evaluator INFO: Inference done 3051/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0413 s/iter. ETA=0:01:31 [10/26 10:28:00] d2.evaluation.evaluator INFO: Inference done 3180/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:01:25 [10/26 10:28:05] d2.evaluation.evaluator INFO: Inference done 3308/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:01:20 [10/26 10:28:10] d2.evaluation.evaluator INFO: Inference done 3434/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:01:14 [10/26 10:28:15] d2.evaluation.evaluator INFO: Inference done 3563/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:01:09 [10/26 10:28:20] d2.evaluation.evaluator INFO: Inference done 3692/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:01:04 [10/26 10:28:25] d2.evaluation.evaluator INFO: Inference done 3818/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:00:58 [10/26 10:28:31] d2.evaluation.evaluator INFO: Inference done 3946/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:00:53 [10/26 10:28:36] d2.evaluation.evaluator INFO: Inference done 4075/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:00:48 [10/26 10:28:41] d2.evaluation.evaluator INFO: Inference done 4202/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:00:43 [10/26 10:28:46] d2.evaluation.evaluator INFO: Inference done 4318/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:00:38 [10/26 10:28:51] d2.evaluation.evaluator INFO: Inference done 4442/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:00:33 [10/26 10:28:56] d2.evaluation.evaluator INFO: Inference done 4573/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:00:27 [10/26 10:29:01] d2.evaluation.evaluator INFO: Inference done 4688/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:00:23 [10/26 10:29:06] d2.evaluation.evaluator INFO: Inference done 4816/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:00:18 [10/26 10:29:11] d2.evaluation.evaluator INFO: Inference done 4943/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:00:12 [10/26 10:29:16] d2.evaluation.evaluator INFO: Inference done 5068/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:00:07 [10/26 10:29:21] d2.evaluation.evaluator INFO: Inference done 5179/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:00:03 [10/26 10:29:25] d2.evaluation.evaluator INFO: Total inference time: 0:03:35.138619 (0.040955 s / iter per device, on 1 devices) [10/26 10:29:25] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:26 (0.039401 s / iter per device, on 1 devices) [10/26 10:29:25] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 10:30:36] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 10:30:36] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 10:30:36] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 10:30:36] d2.evaluation.testing INFO: copypaste: 5.7177,12.3738,5.0661 [10/26 10:30:38] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 10:30:38] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 10:30:38] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 10:30:38] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 10:30:40] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0011 s/iter. Inference: 0.0502 s/iter. Eval: 0.0005 s/iter. Total: 0.0518 s/iter. ETA=0:04:31 [10/26 10:30:45] d2.evaluation.evaluator INFO: Inference done 109/5258. Dataloading: 0.0013 s/iter. Inference: 0.0494 s/iter. Eval: 0.0005 s/iter. Total: 0.0512 s/iter. ETA=0:04:23 [10/26 10:30:50] d2.evaluation.evaluator INFO: Inference done 210/5258. Dataloading: 0.0012 s/iter. Inference: 0.0488 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:04:15 [10/26 10:30:55] d2.evaluation.evaluator INFO: Inference done 309/5258. Dataloading: 0.0012 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:04:10 [10/26 10:31:00] d2.evaluation.evaluator INFO: Inference done 410/5258. Dataloading: 0.0011 s/iter. Inference: 0.0488 s/iter. Eval: 0.0005 s/iter. Total: 0.0504 s/iter. ETA=0:04:04 [10/26 10:31:05] d2.evaluation.evaluator INFO: Inference done 508/5258. Dataloading: 0.0012 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:04:00 [10/26 10:31:10] d2.evaluation.evaluator INFO: Inference done 608/5258. Dataloading: 0.0012 s/iter. Inference: 0.0488 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:03:54 [10/26 10:31:15] d2.evaluation.evaluator INFO: Inference done 699/5258. Dataloading: 0.0012 s/iter. Inference: 0.0494 s/iter. Eval: 0.0005 s/iter. Total: 0.0511 s/iter. ETA=0:03:53 [10/26 10:31:20] d2.evaluation.evaluator INFO: Inference done 802/5258. Dataloading: 0.0012 s/iter. Inference: 0.0491 s/iter. Eval: 0.0005 s/iter. Total: 0.0508 s/iter. ETA=0:03:46 [10/26 10:31:25] d2.evaluation.evaluator INFO: Inference done 902/5258. Dataloading: 0.0012 s/iter. Inference: 0.0490 s/iter. Eval: 0.0005 s/iter. Total: 0.0507 s/iter. ETA=0:03:41 [10/26 10:31:30] d2.evaluation.evaluator INFO: Inference done 1003/5258. Dataloading: 0.0012 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:03:35 [10/26 10:31:35] d2.evaluation.evaluator INFO: Inference done 1103/5258. Dataloading: 0.0012 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:03:30 [10/26 10:31:40] d2.evaluation.evaluator INFO: Inference done 1204/5258. Dataloading: 0.0012 s/iter. Inference: 0.0488 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:03:24 [10/26 10:31:45] d2.evaluation.evaluator INFO: Inference done 1305/5258. Dataloading: 0.0012 s/iter. Inference: 0.0488 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:03:19 [10/26 10:31:50] d2.evaluation.evaluator INFO: Inference done 1404/5258. Dataloading: 0.0012 s/iter. Inference: 0.0488 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:03:14 [10/26 10:31:55] d2.evaluation.evaluator INFO: Inference done 1504/5258. Dataloading: 0.0012 s/iter. Inference: 0.0488 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:03:09 [10/26 10:32:00] d2.evaluation.evaluator INFO: Inference done 1603/5258. Dataloading: 0.0012 s/iter. Inference: 0.0488 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:03:04 [10/26 10:32:05] d2.evaluation.evaluator INFO: Inference done 1701/5258. Dataloading: 0.0012 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:02:59 [10/26 10:32:10] d2.evaluation.evaluator INFO: Inference done 1802/5258. Dataloading: 0.0011 s/iter. Inference: 0.0488 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:02:54 [10/26 10:32:15] d2.evaluation.evaluator INFO: Inference done 1902/5258. Dataloading: 0.0011 s/iter. Inference: 0.0488 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:02:49 [10/26 10:32:20] d2.evaluation.evaluator INFO: Inference done 2005/5258. Dataloading: 0.0011 s/iter. Inference: 0.0488 s/iter. Eval: 0.0005 s/iter. Total: 0.0504 s/iter. ETA=0:02:43 [10/26 10:32:25] d2.evaluation.evaluator INFO: Inference done 2108/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:02:38 [10/26 10:32:30] d2.evaluation.evaluator INFO: Inference done 2208/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:02:33 [10/26 10:32:35] d2.evaluation.evaluator INFO: Inference done 2310/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:02:28 [10/26 10:32:40] d2.evaluation.evaluator INFO: Inference done 2411/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:02:23 [10/26 10:32:45] d2.evaluation.evaluator INFO: Inference done 2510/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:02:18 [10/26 10:32:50] d2.evaluation.evaluator INFO: Inference done 2610/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:02:13 [10/26 10:32:55] d2.evaluation.evaluator INFO: Inference done 2711/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:02:08 [10/26 10:33:00] d2.evaluation.evaluator INFO: Inference done 2812/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:02:02 [10/26 10:33:05] d2.evaluation.evaluator INFO: Inference done 2914/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:01:57 [10/26 10:33:10] d2.evaluation.evaluator INFO: Inference done 3016/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:01:52 [10/26 10:33:15] d2.evaluation.evaluator INFO: Inference done 3119/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:01:47 [10/26 10:33:20] d2.evaluation.evaluator INFO: Inference done 3222/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:01:41 [10/26 10:33:25] d2.evaluation.evaluator INFO: Inference done 3325/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:01:36 [10/26 10:33:30] d2.evaluation.evaluator INFO: Inference done 3424/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:01:31 [10/26 10:33:35] d2.evaluation.evaluator INFO: Inference done 3525/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:01:26 [10/26 10:33:41] d2.evaluation.evaluator INFO: Inference done 3629/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:01:21 [10/26 10:33:46] d2.evaluation.evaluator INFO: Inference done 3726/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:01:16 [10/26 10:33:51] d2.evaluation.evaluator INFO: Inference done 3826/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:01:11 [10/26 10:33:56] d2.evaluation.evaluator INFO: Inference done 3928/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:01:06 [10/26 10:34:01] d2.evaluation.evaluator INFO: Inference done 4025/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:01:01 [10/26 10:34:06] d2.evaluation.evaluator INFO: Inference done 4128/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:00:56 [10/26 10:34:11] d2.evaluation.evaluator INFO: Inference done 4232/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:51 [10/26 10:34:16] d2.evaluation.evaluator INFO: Inference done 4335/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:46 [10/26 10:34:21] d2.evaluation.evaluator INFO: Inference done 4438/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:40 [10/26 10:34:26] d2.evaluation.evaluator INFO: Inference done 4539/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:35 [10/26 10:34:31] d2.evaluation.evaluator INFO: Inference done 4640/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:30 [10/26 10:34:36] d2.evaluation.evaluator INFO: Inference done 4741/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:25 [10/26 10:34:41] d2.evaluation.evaluator INFO: Inference done 4842/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:20 [10/26 10:34:46] d2.evaluation.evaluator INFO: Inference done 4943/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:15 [10/26 10:34:51] d2.evaluation.evaluator INFO: Inference done 5047/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:00:10 [10/26 10:34:56] d2.evaluation.evaluator INFO: Inference done 5149/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:00:05 [10/26 10:35:01] d2.evaluation.evaluator INFO: Inference done 5248/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:00:00 [10/26 10:35:02] d2.evaluation.evaluator INFO: Total inference time: 0:04:22.312684 (0.049936 s / iter per device, on 1 devices) [10/26 10:35:02] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:13 (0.048342 s / iter per device, on 1 devices) [10/26 10:35:02] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 10:36:07] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 10:36:07] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 10:36:07] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 10:36:07] d2.evaluation.testing INFO: copypaste: 6.1086,12.8928,5.5353 [10/26 10:36:07] d2.utils.events INFO: eta: 12:37:43 iter: 22799 total_loss: 2.549 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04141 loss_box_reg_sup: 0.3841 loss_rpn_cls_sup: 0.03504 loss_rpn_loc_sup: 0.3166 loss_cls_unsup: 0.2684 loss_box_reg_unsup: 0.5239 loss_rpn_cls_unsup: 0.3455 loss_rpn_loc_unsup: 0.6203 time: 6.0713 data_time: 0.8658 lr: 0.016 max_mem: 18367M [10/26 10:38:13] d2.utils.events INFO: eta: 12:35:48 iter: 22819 total_loss: 2.534 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03537 loss_box_reg_sup: 0.3419 loss_rpn_cls_sup: 0.03216 loss_rpn_loc_sup: 0.2985 loss_cls_unsup: 0.2766 loss_box_reg_unsup: 0.55 loss_rpn_cls_unsup: 0.3509 loss_rpn_loc_unsup: 0.5868 time: 6.0715 data_time: 0.8304 lr: 0.016 max_mem: 18367M [10/26 10:40:20] d2.utils.events INFO: eta: 12:33:36 iter: 22839 total_loss: 2.474 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04128 loss_box_reg_sup: 0.3654 loss_rpn_cls_sup: 0.03409 loss_rpn_loc_sup: 0.3178 loss_cls_unsup: 0.2884 loss_box_reg_unsup: 0.5367 loss_rpn_cls_unsup: 0.3367 loss_rpn_loc_unsup: 0.5293 time: 6.0718 data_time: 0.8087 lr: 0.016 max_mem: 18367M [10/26 10:42:27] d2.utils.events INFO: eta: 12:31:30 iter: 22859 total_loss: 2.499 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03785 loss_box_reg_sup: 0.3528 loss_rpn_cls_sup: 0.03541 loss_rpn_loc_sup: 0.3092 loss_cls_unsup: 0.2678 loss_box_reg_unsup: 0.5312 loss_rpn_cls_unsup: 0.3692 loss_rpn_loc_unsup: 0.6381 time: 6.0720 data_time: 0.8192 lr: 0.016 max_mem: 18367M [10/26 10:44:32] d2.utils.events INFO: eta: 12:29:17 iter: 22879 total_loss: 2.477 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03891 loss_box_reg_sup: 0.3595 loss_rpn_cls_sup: 0.03584 loss_rpn_loc_sup: 0.308 loss_cls_unsup: 0.2609 loss_box_reg_unsup: 0.5206 loss_rpn_cls_unsup: 0.3573 loss_rpn_loc_unsup: 0.5986 time: 6.0722 data_time: 0.8187 lr: 0.016 max_mem: 18367M [10/26 10:46:39] d2.utils.events INFO: eta: 12:27:14 iter: 22899 total_loss: 2.551 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03721 loss_box_reg_sup: 0.3683 loss_rpn_cls_sup: 0.03652 loss_rpn_loc_sup: 0.3056 loss_cls_unsup: 0.2755 loss_box_reg_unsup: 0.543 loss_rpn_cls_unsup: 0.3566 loss_rpn_loc_unsup: 0.6094 time: 6.0724 data_time: 0.8467 lr: 0.016 max_mem: 18367M [10/26 10:48:48] d2.utils.events INFO: eta: 12:25:11 iter: 22919 total_loss: 2.526 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04024 loss_box_reg_sup: 0.3567 loss_rpn_cls_sup: 0.0396 loss_rpn_loc_sup: 0.3131 loss_cls_unsup: 0.2815 loss_box_reg_unsup: 0.5421 loss_rpn_cls_unsup: 0.3658 loss_rpn_loc_unsup: 0.5944 time: 6.0728 data_time: 0.8458 lr: 0.016 max_mem: 18367M [10/26 10:51:02] d2.utils.events INFO: eta: 12:23:17 iter: 22939 total_loss: 2.582 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04285 loss_box_reg_sup: 0.3796 loss_rpn_cls_sup: 0.03413 loss_rpn_loc_sup: 0.3176 loss_cls_unsup: 0.2701 loss_box_reg_unsup: 0.5529 loss_rpn_cls_unsup: 0.3515 loss_rpn_loc_unsup: 0.5762 time: 6.0733 data_time: 0.8312 lr: 0.016 max_mem: 18367M [10/26 10:53:07] d2.utils.events INFO: eta: 12:21:06 iter: 22959 total_loss: 2.604 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04339 loss_box_reg_sup: 0.3816 loss_rpn_cls_sup: 0.03618 loss_rpn_loc_sup: 0.3147 loss_cls_unsup: 0.2868 loss_box_reg_unsup: 0.5496 loss_rpn_cls_unsup: 0.3529 loss_rpn_loc_unsup: 0.5934 time: 6.0735 data_time: 0.8301 lr: 0.016 max_mem: 18367M [10/26 10:55:14] d2.utils.events INFO: eta: 12:18:38 iter: 22979 total_loss: 2.551 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04522 loss_box_reg_sup: 0.3722 loss_rpn_cls_sup: 0.03636 loss_rpn_loc_sup: 0.3282 loss_cls_unsup: 0.2879 loss_box_reg_unsup: 0.5503 loss_rpn_cls_unsup: 0.3488 loss_rpn_loc_unsup: 0.6101 time: 6.0737 data_time: 0.8574 lr: 0.016 max_mem: 18367M [10/26 10:57:28] d2.utils.events INFO: eta: 12:16:29 iter: 22999 total_loss: 2.466 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04007 loss_box_reg_sup: 0.3403 loss_rpn_cls_sup: 0.0348 loss_rpn_loc_sup: 0.2962 loss_cls_unsup: 0.2883 loss_box_reg_unsup: 0.5318 loss_rpn_cls_unsup: 0.3483 loss_rpn_loc_unsup: 0.6031 time: 6.0742 data_time: 0.8455 lr: 0.016 max_mem: 18367M [10/26 10:59:39] d2.utils.events INFO: eta: 12:14:11 iter: 23019 total_loss: 2.552 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03965 loss_box_reg_sup: 0.3537 loss_rpn_cls_sup: 0.03495 loss_rpn_loc_sup: 0.2954 loss_cls_unsup: 0.2991 loss_box_reg_unsup: 0.5505 loss_rpn_cls_unsup: 0.3555 loss_rpn_loc_unsup: 0.6003 time: 6.0747 data_time: 0.8459 lr: 0.016 max_mem: 18367M [10/26 11:01:53] d2.utils.events INFO: eta: 12:12:10 iter: 23039 total_loss: 2.672 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04374 loss_box_reg_sup: 0.3778 loss_rpn_cls_sup: 0.0338 loss_rpn_loc_sup: 0.3186 loss_cls_unsup: 0.2794 loss_box_reg_unsup: 0.5438 loss_rpn_cls_unsup: 0.3487 loss_rpn_loc_unsup: 0.6694 time: 6.0752 data_time: 0.8718 lr: 0.016 max_mem: 18367M [10/26 11:04:12] d2.utils.events INFO: eta: 12:10:04 iter: 23059 total_loss: 2.478 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04153 loss_box_reg_sup: 0.3441 loss_rpn_cls_sup: 0.03845 loss_rpn_loc_sup: 0.3281 loss_cls_unsup: 0.2885 loss_box_reg_unsup: 0.5371 loss_rpn_cls_unsup: 0.3502 loss_rpn_loc_unsup: 0.5793 time: 6.0760 data_time: 0.8396 lr: 0.016 max_mem: 18367M [10/26 11:06:20] d2.utils.events INFO: eta: 12:07:51 iter: 23079 total_loss: 2.426 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03453 loss_box_reg_sup: 0.3367 loss_rpn_cls_sup: 0.03108 loss_rpn_loc_sup: 0.2984 loss_cls_unsup: 0.2825 loss_box_reg_unsup: 0.5144 loss_rpn_cls_unsup: 0.3431 loss_rpn_loc_unsup: 0.5292 time: 6.0762 data_time: 0.8335 lr: 0.016 max_mem: 18367M [10/26 11:08:35] d2.utils.events INFO: eta: 12:05:51 iter: 23099 total_loss: 2.472 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04122 loss_box_reg_sup: 0.3448 loss_rpn_cls_sup: 0.03418 loss_rpn_loc_sup: 0.3092 loss_cls_unsup: 0.2991 loss_box_reg_unsup: 0.539 loss_rpn_cls_unsup: 0.3419 loss_rpn_loc_unsup: 0.5312 time: 6.0768 data_time: 0.8565 lr: 0.016 max_mem: 18367M [10/26 11:10:48] d2.utils.events INFO: eta: 12:03:44 iter: 23119 total_loss: 2.432 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03519 loss_box_reg_sup: 0.3488 loss_rpn_cls_sup: 0.03307 loss_rpn_loc_sup: 0.3026 loss_cls_unsup: 0.2747 loss_box_reg_unsup: 0.5502 loss_rpn_cls_unsup: 0.3331 loss_rpn_loc_unsup: 0.5395 time: 6.0773 data_time: 0.8153 lr: 0.016 max_mem: 18367M [10/26 11:12:59] d2.utils.events INFO: eta: 12:01:42 iter: 23139 total_loss: 2.519 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03789 loss_box_reg_sup: 0.3342 loss_rpn_cls_sup: 0.03526 loss_rpn_loc_sup: 0.3062 loss_cls_unsup: 0.2807 loss_box_reg_unsup: 0.529 loss_rpn_cls_unsup: 0.3558 loss_rpn_loc_unsup: 0.6072 time: 6.0777 data_time: 0.8549 lr: 0.016 max_mem: 18367M [10/26 11:15:11] d2.utils.events INFO: eta: 11:59:49 iter: 23159 total_loss: 2.493 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03874 loss_box_reg_sup: 0.3616 loss_rpn_cls_sup: 0.03407 loss_rpn_loc_sup: 0.3234 loss_cls_unsup: 0.2694 loss_box_reg_unsup: 0.5285 loss_rpn_cls_unsup: 0.3484 loss_rpn_loc_unsup: 0.623 time: 6.0781 data_time: 0.8640 lr: 0.016 max_mem: 18367M [10/26 11:17:16] d2.utils.events INFO: eta: 11:57:30 iter: 23179 total_loss: 2.462 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03682 loss_box_reg_sup: 0.343 loss_rpn_cls_sup: 0.03457 loss_rpn_loc_sup: 0.3042 loss_cls_unsup: 0.2946 loss_box_reg_unsup: 0.503 loss_rpn_cls_unsup: 0.346 loss_rpn_loc_unsup: 0.5958 time: 6.0783 data_time: 0.8507 lr: 0.016 max_mem: 18367M [10/26 11:19:32] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 11:19:32] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 11:19:32] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 11:19:32] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 11:19:34] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0011 s/iter. Inference: 0.0494 s/iter. Eval: 0.0005 s/iter. Total: 0.0510 s/iter. ETA=0:04:27 [10/26 11:19:39] d2.evaluation.evaluator INFO: Inference done 102/5258. Dataloading: 0.0012 s/iter. Inference: 0.0533 s/iter. Eval: 0.0004 s/iter. Total: 0.0549 s/iter. ETA=0:04:43 [10/26 11:19:44] d2.evaluation.evaluator INFO: Inference done 227/5258. Dataloading: 0.0011 s/iter. Inference: 0.0450 s/iter. Eval: 0.0004 s/iter. Total: 0.0466 s/iter. ETA=0:03:54 [10/26 11:19:49] d2.evaluation.evaluator INFO: Inference done 353/5258. Dataloading: 0.0011 s/iter. Inference: 0.0426 s/iter. Eval: 0.0004 s/iter. Total: 0.0442 s/iter. ETA=0:03:36 [10/26 11:19:54] d2.evaluation.evaluator INFO: Inference done 479/5258. Dataloading: 0.0011 s/iter. Inference: 0.0415 s/iter. Eval: 0.0004 s/iter. Total: 0.0430 s/iter. ETA=0:03:25 [10/26 11:19:59] d2.evaluation.evaluator INFO: Inference done 595/5258. Dataloading: 0.0011 s/iter. Inference: 0.0415 s/iter. Eval: 0.0004 s/iter. Total: 0.0430 s/iter. ETA=0:03:20 [10/26 11:20:04] d2.evaluation.evaluator INFO: Inference done 720/5258. Dataloading: 0.0011 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:03:12 [10/26 11:20:09] d2.evaluation.evaluator INFO: Inference done 844/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0004 s/iter. Total: 0.0422 s/iter. ETA=0:03:06 [10/26 11:20:14] d2.evaluation.evaluator INFO: Inference done 974/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:02:58 [10/26 11:20:19] d2.evaluation.evaluator INFO: Inference done 1099/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:02:52 [10/26 11:20:24] d2.evaluation.evaluator INFO: Inference done 1222/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:02:47 [10/26 11:20:29] d2.evaluation.evaluator INFO: Inference done 1350/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:02:41 [10/26 11:20:34] d2.evaluation.evaluator INFO: Inference done 1475/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:02:35 [10/26 11:20:39] d2.evaluation.evaluator INFO: Inference done 1603/5258. Dataloading: 0.0011 s/iter. Inference: 0.0395 s/iter. Eval: 0.0004 s/iter. Total: 0.0410 s/iter. ETA=0:02:29 [10/26 11:20:44] d2.evaluation.evaluator INFO: Inference done 1732/5258. Dataloading: 0.0011 s/iter. Inference: 0.0393 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:02:23 [10/26 11:20:49] d2.evaluation.evaluator INFO: Inference done 1855/5258. Dataloading: 0.0011 s/iter. Inference: 0.0393 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:02:18 [10/26 11:20:54] d2.evaluation.evaluator INFO: Inference done 1980/5258. Dataloading: 0.0011 s/iter. Inference: 0.0393 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:02:13 [10/26 11:20:59] d2.evaluation.evaluator INFO: Inference done 2108/5258. Dataloading: 0.0011 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:02:08 [10/26 11:21:04] d2.evaluation.evaluator INFO: Inference done 2227/5258. Dataloading: 0.0011 s/iter. Inference: 0.0393 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:02:03 [10/26 11:21:09] d2.evaluation.evaluator INFO: Inference done 2352/5258. Dataloading: 0.0011 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:01:58 [10/26 11:21:14] d2.evaluation.evaluator INFO: Inference done 2471/5258. Dataloading: 0.0011 s/iter. Inference: 0.0393 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:01:53 [10/26 11:21:19] d2.evaluation.evaluator INFO: Inference done 2597/5258. Dataloading: 0.0011 s/iter. Inference: 0.0393 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:01:48 [10/26 11:21:24] d2.evaluation.evaluator INFO: Inference done 2700/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:01:45 [10/26 11:21:29] d2.evaluation.evaluator INFO: Inference done 2799/5258. Dataloading: 0.0011 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:01:41 [10/26 11:21:34] d2.evaluation.evaluator INFO: Inference done 2897/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:01:38 [10/26 11:21:39] d2.evaluation.evaluator INFO: Inference done 3013/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0004 s/iter. Total: 0.0418 s/iter. ETA=0:01:33 [10/26 11:21:44] d2.evaluation.evaluator INFO: Inference done 3144/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:01:28 [10/26 11:21:49] d2.evaluation.evaluator INFO: Inference done 3274/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:01:22 [10/26 11:21:54] d2.evaluation.evaluator INFO: Inference done 3404/5258. Dataloading: 0.0011 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:01:16 [10/26 11:21:59] d2.evaluation.evaluator INFO: Inference done 3535/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:01:11 [10/26 11:22:04] d2.evaluation.evaluator INFO: Inference done 3663/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:01:05 [10/26 11:22:09] d2.evaluation.evaluator INFO: Inference done 3793/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:01:00 [10/26 11:22:14] d2.evaluation.evaluator INFO: Inference done 3924/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:00:54 [10/26 11:22:19] d2.evaluation.evaluator INFO: Inference done 4051/5258. Dataloading: 0.0011 s/iter. Inference: 0.0395 s/iter. Eval: 0.0004 s/iter. Total: 0.0410 s/iter. ETA=0:00:49 [10/26 11:22:24] d2.evaluation.evaluator INFO: Inference done 4180/5258. Dataloading: 0.0011 s/iter. Inference: 0.0395 s/iter. Eval: 0.0004 s/iter. Total: 0.0410 s/iter. ETA=0:00:44 [10/26 11:22:29] d2.evaluation.evaluator INFO: Inference done 4312/5258. Dataloading: 0.0011 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0409 s/iter. ETA=0:00:38 [10/26 11:22:34] d2.evaluation.evaluator INFO: Inference done 4434/5258. Dataloading: 0.0011 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0409 s/iter. ETA=0:00:33 [10/26 11:22:39] d2.evaluation.evaluator INFO: Inference done 4551/5258. Dataloading: 0.0011 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0409 s/iter. ETA=0:00:28 [10/26 11:22:44] d2.evaluation.evaluator INFO: Inference done 4682/5258. Dataloading: 0.0011 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0409 s/iter. ETA=0:00:23 [10/26 11:22:49] d2.evaluation.evaluator INFO: Inference done 4796/5258. Dataloading: 0.0011 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0409 s/iter. ETA=0:00:18 [10/26 11:22:54] d2.evaluation.evaluator INFO: Inference done 4923/5258. Dataloading: 0.0011 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0409 s/iter. ETA=0:00:13 [10/26 11:22:59] d2.evaluation.evaluator INFO: Inference done 5050/5258. Dataloading: 0.0011 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0409 s/iter. ETA=0:00:08 [10/26 11:23:04] d2.evaluation.evaluator INFO: Inference done 5174/5258. Dataloading: 0.0011 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0409 s/iter. ETA=0:00:03 [10/26 11:23:08] d2.evaluation.evaluator INFO: Total inference time: 0:03:34.578783 (0.040849 s / iter per device, on 1 devices) [10/26 11:23:08] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:26 (0.039332 s / iter per device, on 1 devices) [10/26 11:23:08] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 11:24:00] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 11:24:00] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 11:24:00] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 11:24:00] d2.evaluation.testing INFO: copypaste: 5.9283,12.5780,5.3150 [10/26 11:24:02] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 11:24:02] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 11:24:02] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 11:24:02] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 11:24:03] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0012 s/iter. Inference: 0.0521 s/iter. Eval: 0.0005 s/iter. Total: 0.0539 s/iter. ETA=0:04:42 [10/26 11:24:08] d2.evaluation.evaluator INFO: Inference done 111/5258. Dataloading: 0.0011 s/iter. Inference: 0.0490 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:04:20 [10/26 11:24:13] d2.evaluation.evaluator INFO: Inference done 212/5258. Dataloading: 0.0012 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:04:13 [10/26 11:24:18] d2.evaluation.evaluator INFO: Inference done 314/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:04:07 [10/26 11:24:23] d2.evaluation.evaluator INFO: Inference done 413/5258. Dataloading: 0.0012 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:04:03 [10/26 11:24:28] d2.evaluation.evaluator INFO: Inference done 512/5258. Dataloading: 0.0012 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:03:58 [10/26 11:24:33] d2.evaluation.evaluator INFO: Inference done 613/5258. Dataloading: 0.0012 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:03:53 [10/26 11:24:38] d2.evaluation.evaluator INFO: Inference done 715/5258. Dataloading: 0.0012 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:03:47 [10/26 11:24:43] d2.evaluation.evaluator INFO: Inference done 817/5258. Dataloading: 0.0012 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:41 [10/26 11:24:48] d2.evaluation.evaluator INFO: Inference done 917/5258. Dataloading: 0.0012 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:37 [10/26 11:24:53] d2.evaluation.evaluator INFO: Inference done 1022/5258. Dataloading: 0.0012 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:30 [10/26 11:24:58] d2.evaluation.evaluator INFO: Inference done 1123/5258. Dataloading: 0.0012 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:25 [10/26 11:25:03] d2.evaluation.evaluator INFO: Inference done 1224/5258. Dataloading: 0.0012 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:20 [10/26 11:25:08] d2.evaluation.evaluator INFO: Inference done 1323/5258. Dataloading: 0.0012 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:16 [10/26 11:25:13] d2.evaluation.evaluator INFO: Inference done 1423/5258. Dataloading: 0.0012 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:03:11 [10/26 11:25:18] d2.evaluation.evaluator INFO: Inference done 1520/5258. Dataloading: 0.0012 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:06 [10/26 11:25:23] d2.evaluation.evaluator INFO: Inference done 1622/5258. Dataloading: 0.0012 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:03:01 [10/26 11:25:28] d2.evaluation.evaluator INFO: Inference done 1723/5258. Dataloading: 0.0012 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:02:56 [10/26 11:25:34] d2.evaluation.evaluator INFO: Inference done 1822/5258. Dataloading: 0.0012 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:02:51 [10/26 11:25:39] d2.evaluation.evaluator INFO: Inference done 1924/5258. Dataloading: 0.0012 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:02:46 [10/26 11:25:44] d2.evaluation.evaluator INFO: Inference done 2025/5258. Dataloading: 0.0012 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:02:41 [10/26 11:25:49] d2.evaluation.evaluator INFO: Inference done 2128/5258. Dataloading: 0.0012 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:02:36 [10/26 11:25:54] d2.evaluation.evaluator INFO: Inference done 2230/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:30 [10/26 11:25:59] d2.evaluation.evaluator INFO: Inference done 2331/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:25 [10/26 11:26:04] d2.evaluation.evaluator INFO: Inference done 2433/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:20 [10/26 11:26:09] d2.evaluation.evaluator INFO: Inference done 2534/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:15 [10/26 11:26:14] d2.evaluation.evaluator INFO: Inference done 2632/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:02:10 [10/26 11:26:19] d2.evaluation.evaluator INFO: Inference done 2733/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:02:05 [10/26 11:26:24] d2.evaluation.evaluator INFO: Inference done 2836/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:00 [10/26 11:26:29] d2.evaluation.evaluator INFO: Inference done 2938/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:55 [10/26 11:26:34] d2.evaluation.evaluator INFO: Inference done 3039/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:50 [10/26 11:26:39] d2.evaluation.evaluator INFO: Inference done 3138/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:45 [10/26 11:26:44] d2.evaluation.evaluator INFO: Inference done 3240/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:40 [10/26 11:26:49] d2.evaluation.evaluator INFO: Inference done 3339/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:35 [10/26 11:26:54] d2.evaluation.evaluator INFO: Inference done 3439/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:30 [10/26 11:26:59] d2.evaluation.evaluator INFO: Inference done 3542/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:25 [10/26 11:27:04] d2.evaluation.evaluator INFO: Inference done 3642/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:20 [10/26 11:27:09] d2.evaluation.evaluator INFO: Inference done 3741/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:15 [10/26 11:27:14] d2.evaluation.evaluator INFO: Inference done 3840/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:10 [10/26 11:27:19] d2.evaluation.evaluator INFO: Inference done 3939/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:05 [10/26 11:27:24] d2.evaluation.evaluator INFO: Inference done 4038/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:00 [10/26 11:27:29] d2.evaluation.evaluator INFO: Inference done 4135/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:56 [10/26 11:27:34] d2.evaluation.evaluator INFO: Inference done 4234/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:51 [10/26 11:27:39] d2.evaluation.evaluator INFO: Inference done 4333/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:46 [10/26 11:27:44] d2.evaluation.evaluator INFO: Inference done 4434/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:41 [10/26 11:27:49] d2.evaluation.evaluator INFO: Inference done 4532/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:36 [10/26 11:27:54] d2.evaluation.evaluator INFO: Inference done 4633/5258. Dataloading: 0.0012 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:31 [10/26 11:27:59] d2.evaluation.evaluator INFO: Inference done 4735/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:26 [10/26 11:28:04] d2.evaluation.evaluator INFO: Inference done 4837/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:21 [10/26 11:28:09] d2.evaluation.evaluator INFO: Inference done 4936/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:16 [10/26 11:28:14] d2.evaluation.evaluator INFO: Inference done 5036/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:11 [10/26 11:28:19] d2.evaluation.evaluator INFO: Inference done 5136/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:06 [10/26 11:28:24] d2.evaluation.evaluator INFO: Inference done 5235/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:01 [10/26 11:28:26] d2.evaluation.evaluator INFO: Total inference time: 0:04:22.816033 (0.050032 s / iter per device, on 1 devices) [10/26 11:28:26] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:14 (0.048362 s / iter per device, on 1 devices) [10/26 11:28:26] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 11:29:31] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 11:29:31] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 11:29:31] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 11:29:31] d2.evaluation.testing INFO: copypaste: 6.1303,12.9640,5.5431 [10/26 11:29:31] d2.utils.events INFO: eta: 11:55:18 iter: 23199 total_loss: 2.396 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03792 loss_box_reg_sup: 0.3269 loss_rpn_cls_sup: 0.03515 loss_rpn_loc_sup: 0.2985 loss_cls_unsup: 0.277 loss_box_reg_unsup: 0.5276 loss_rpn_cls_unsup: 0.3448 loss_rpn_loc_unsup: 0.5744 time: 6.0787 data_time: 0.8413 lr: 0.016 max_mem: 18367M [10/26 11:31:39] d2.utils.events INFO: eta: 11:53:07 iter: 23219 total_loss: 2.464 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03869 loss_box_reg_sup: 0.3537 loss_rpn_cls_sup: 0.03233 loss_rpn_loc_sup: 0.3072 loss_cls_unsup: 0.2793 loss_box_reg_unsup: 0.5196 loss_rpn_cls_unsup: 0.3283 loss_rpn_loc_unsup: 0.5283 time: 6.0789 data_time: 0.8251 lr: 0.016 max_mem: 18367M [10/26 11:33:52] d2.utils.events INFO: eta: 11:50:59 iter: 23239 total_loss: 2.432 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04356 loss_box_reg_sup: 0.3693 loss_rpn_cls_sup: 0.03479 loss_rpn_loc_sup: 0.3191 loss_cls_unsup: 0.2664 loss_box_reg_unsup: 0.5094 loss_rpn_cls_unsup: 0.3453 loss_rpn_loc_unsup: 0.578 time: 6.0795 data_time: 0.8387 lr: 0.016 max_mem: 18367M [10/26 11:36:05] d2.utils.events INFO: eta: 11:49:02 iter: 23259 total_loss: 2.508 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04106 loss_box_reg_sup: 0.3492 loss_rpn_cls_sup: 0.03262 loss_rpn_loc_sup: 0.304 loss_cls_unsup: 0.287 loss_box_reg_unsup: 0.5561 loss_rpn_cls_unsup: 0.35 loss_rpn_loc_unsup: 0.5616 time: 6.0800 data_time: 0.8793 lr: 0.016 max_mem: 18367M [10/26 11:38:29] d2.utils.events INFO: eta: 11:46:59 iter: 23279 total_loss: 2.548 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03655 loss_box_reg_sup: 0.358 loss_rpn_cls_sup: 0.03099 loss_rpn_loc_sup: 0.3072 loss_cls_unsup: 0.2861 loss_box_reg_unsup: 0.5573 loss_rpn_cls_unsup: 0.3424 loss_rpn_loc_unsup: 0.6365 time: 6.0809 data_time: 0.8569 lr: 0.016 max_mem: 18367M [10/26 11:40:49] d2.utils.events INFO: eta: 11:45:01 iter: 23299 total_loss: 2.528 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03864 loss_box_reg_sup: 0.3832 loss_rpn_cls_sup: 0.0326 loss_rpn_loc_sup: 0.3136 loss_cls_unsup: 0.2609 loss_box_reg_unsup: 0.5476 loss_rpn_cls_unsup: 0.3365 loss_rpn_loc_unsup: 0.6047 time: 6.0817 data_time: 0.7982 lr: 0.016 max_mem: 18367M [10/26 11:43:09] d2.utils.events INFO: eta: 11:42:58 iter: 23319 total_loss: 2.455 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04021 loss_box_reg_sup: 0.3633 loss_rpn_cls_sup: 0.03363 loss_rpn_loc_sup: 0.3097 loss_cls_unsup: 0.2686 loss_box_reg_unsup: 0.5212 loss_rpn_cls_unsup: 0.3192 loss_rpn_loc_unsup: 0.5867 time: 6.0825 data_time: 0.8592 lr: 0.016 max_mem: 18367M [10/26 11:45:14] d2.utils.events INFO: eta: 11:40:45 iter: 23339 total_loss: 2.505 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03787 loss_box_reg_sup: 0.3365 loss_rpn_cls_sup: 0.03339 loss_rpn_loc_sup: 0.3112 loss_cls_unsup: 0.272 loss_box_reg_unsup: 0.5351 loss_rpn_cls_unsup: 0.3705 loss_rpn_loc_unsup: 0.5832 time: 6.0826 data_time: 0.8391 lr: 0.016 max_mem: 18367M [10/26 11:47:29] d2.utils.events INFO: eta: 11:38:30 iter: 23359 total_loss: 2.436 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03624 loss_box_reg_sup: 0.3209 loss_rpn_cls_sup: 0.03406 loss_rpn_loc_sup: 0.3052 loss_cls_unsup: 0.278 loss_box_reg_unsup: 0.5389 loss_rpn_cls_unsup: 0.3598 loss_rpn_loc_unsup: 0.5395 time: 6.0832 data_time: 0.8164 lr: 0.016 max_mem: 18367M [10/26 11:49:43] d2.utils.events INFO: eta: 11:36:19 iter: 23379 total_loss: 2.442 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03838 loss_box_reg_sup: 0.3599 loss_rpn_cls_sup: 0.03472 loss_rpn_loc_sup: 0.3075 loss_cls_unsup: 0.2734 loss_box_reg_unsup: 0.5189 loss_rpn_cls_unsup: 0.335 loss_rpn_loc_unsup: 0.5685 time: 6.0837 data_time: 0.8198 lr: 0.016 max_mem: 18367M [10/26 11:52:00] d2.utils.events INFO: eta: 11:34:11 iter: 23399 total_loss: 2.493 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03694 loss_box_reg_sup: 0.328 loss_rpn_cls_sup: 0.03665 loss_rpn_loc_sup: 0.285 loss_cls_unsup: 0.2842 loss_box_reg_unsup: 0.5552 loss_rpn_cls_unsup: 0.3665 loss_rpn_loc_unsup: 0.5602 time: 6.0844 data_time: 0.8501 lr: 0.016 max_mem: 18367M [10/26 11:54:06] d2.utils.events INFO: eta: 11:31:56 iter: 23419 total_loss: 2.519 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04373 loss_box_reg_sup: 0.338 loss_rpn_cls_sup: 0.03997 loss_rpn_loc_sup: 0.3274 loss_cls_unsup: 0.2699 loss_box_reg_unsup: 0.5424 loss_rpn_cls_unsup: 0.3374 loss_rpn_loc_unsup: 0.5851 time: 6.0845 data_time: 0.8230 lr: 0.016 max_mem: 18367M [10/26 11:56:13] d2.utils.events INFO: eta: 11:29:43 iter: 23439 total_loss: 2.512 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0399 loss_box_reg_sup: 0.3304 loss_rpn_cls_sup: 0.04087 loss_rpn_loc_sup: 0.3158 loss_cls_unsup: 0.2698 loss_box_reg_unsup: 0.5835 loss_rpn_cls_unsup: 0.3485 loss_rpn_loc_unsup: 0.5748 time: 6.0848 data_time: 0.8542 lr: 0.016 max_mem: 18367M [10/26 11:58:30] d2.utils.events INFO: eta: 11:27:46 iter: 23459 total_loss: 2.441 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04092 loss_box_reg_sup: 0.3619 loss_rpn_cls_sup: 0.03673 loss_rpn_loc_sup: 0.3052 loss_cls_unsup: 0.2842 loss_box_reg_unsup: 0.5238 loss_rpn_cls_unsup: 0.3466 loss_rpn_loc_unsup: 0.58 time: 6.0854 data_time: 0.8619 lr: 0.016 max_mem: 18367M [10/26 12:00:36] d2.utils.events INFO: eta: 11:25:39 iter: 23479 total_loss: 2.521 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0425 loss_box_reg_sup: 0.3536 loss_rpn_cls_sup: 0.03951 loss_rpn_loc_sup: 0.3302 loss_cls_unsup: 0.2754 loss_box_reg_unsup: 0.5052 loss_rpn_cls_unsup: 0.3492 loss_rpn_loc_unsup: 0.5799 time: 6.0856 data_time: 0.8251 lr: 0.016 max_mem: 18367M [10/26 12:02:42] d2.utils.events INFO: eta: 11:23:23 iter: 23499 total_loss: 2.589 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03811 loss_box_reg_sup: 0.3387 loss_rpn_cls_sup: 0.03319 loss_rpn_loc_sup: 0.3167 loss_cls_unsup: 0.2872 loss_box_reg_unsup: 0.5306 loss_rpn_cls_unsup: 0.3586 loss_rpn_loc_unsup: 0.6394 time: 6.0858 data_time: 0.7880 lr: 0.016 max_mem: 18367M [10/26 12:04:48] d2.utils.events INFO: eta: 11:21:06 iter: 23519 total_loss: 2.446 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04111 loss_box_reg_sup: 0.3826 loss_rpn_cls_sup: 0.03928 loss_rpn_loc_sup: 0.3254 loss_cls_unsup: 0.2634 loss_box_reg_unsup: 0.5356 loss_rpn_cls_unsup: 0.3255 loss_rpn_loc_unsup: 0.5176 time: 6.0860 data_time: 0.8358 lr: 0.016 max_mem: 18367M [10/26 12:06:54] d2.utils.events INFO: eta: 11:19:05 iter: 23539 total_loss: 2.528 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03946 loss_box_reg_sup: 0.3587 loss_rpn_cls_sup: 0.03381 loss_rpn_loc_sup: 0.3099 loss_cls_unsup: 0.2688 loss_box_reg_unsup: 0.5351 loss_rpn_cls_unsup: 0.3615 loss_rpn_loc_unsup: 0.5895 time: 6.0862 data_time: 0.8329 lr: 0.016 max_mem: 18367M [10/26 12:08:59] d2.utils.events INFO: eta: 11:16:51 iter: 23559 total_loss: 2.515 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04225 loss_box_reg_sup: 0.3637 loss_rpn_cls_sup: 0.03526 loss_rpn_loc_sup: 0.3188 loss_cls_unsup: 0.2912 loss_box_reg_unsup: 0.5548 loss_rpn_cls_unsup: 0.3466 loss_rpn_loc_unsup: 0.545 time: 6.0863 data_time: 0.7879 lr: 0.016 max_mem: 18367M [10/26 12:11:20] d2.utils.events INFO: eta: 11:14:46 iter: 23579 total_loss: 2.581 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03984 loss_box_reg_sup: 0.3531 loss_rpn_cls_sup: 0.0402 loss_rpn_loc_sup: 0.3202 loss_cls_unsup: 0.2859 loss_box_reg_unsup: 0.5288 loss_rpn_cls_unsup: 0.3552 loss_rpn_loc_unsup: 0.5897 time: 6.0871 data_time: 0.8670 lr: 0.016 max_mem: 18367M [10/26 12:13:37] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 12:13:38] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 12:13:38] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 12:13:38] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 12:13:39] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0363 s/iter. Eval: 0.0006 s/iter. Total: 0.0378 s/iter. ETA=0:03:18 [10/26 12:13:44] d2.evaluation.evaluator INFO: Inference done 139/5258. Dataloading: 0.0010 s/iter. Inference: 0.0377 s/iter. Eval: 0.0005 s/iter. Total: 0.0392 s/iter. ETA=0:03:20 [10/26 12:13:49] d2.evaluation.evaluator INFO: Inference done 257/5258. Dataloading: 0.0011 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:03:23 [10/26 12:13:54] d2.evaluation.evaluator INFO: Inference done 383/5258. Dataloading: 0.0010 s/iter. 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ETA=0:00:12 [10/26 12:17:05] d2.evaluation.evaluator INFO: Inference done 5082/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:00:07 [10/26 12:17:10] d2.evaluation.evaluator INFO: Inference done 5210/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:00:01 [10/26 12:17:11] d2.evaluation.evaluator INFO: Total inference time: 0:03:33.034029 (0.040555 s / iter per device, on 1 devices) [10/26 12:17:11] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:24 (0.039014 s / iter per device, on 1 devices) [10/26 12:17:11] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 12:18:20] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 12:18:20] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 12:18:20] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 12:18:20] d2.evaluation.testing INFO: copypaste: 5.6771,11.9910,5.1887 [10/26 12:18:22] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 12:18:22] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 12:18:22] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 12:18:22] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 12:18:23] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0495 s/iter. Eval: 0.0005 s/iter. Total: 0.0511 s/iter. ETA=0:04:27 [10/26 12:18:28] d2.evaluation.evaluator INFO: Inference done 110/5258. Dataloading: 0.0012 s/iter. Inference: 0.0493 s/iter. Eval: 0.0005 s/iter. Total: 0.0510 s/iter. ETA=0:04:22 [10/26 12:18:33] d2.evaluation.evaluator INFO: Inference done 209/5258. Dataloading: 0.0012 s/iter. Inference: 0.0492 s/iter. Eval: 0.0005 s/iter. Total: 0.0510 s/iter. ETA=0:04:17 [10/26 12:18:38] d2.evaluation.evaluator INFO: Inference done 308/5258. Dataloading: 0.0012 s/iter. Inference: 0.0492 s/iter. Eval: 0.0005 s/iter. Total: 0.0509 s/iter. ETA=0:04:12 [10/26 12:18:43] d2.evaluation.evaluator INFO: Inference done 409/5258. Dataloading: 0.0012 s/iter. Inference: 0.0490 s/iter. Eval: 0.0005 s/iter. Total: 0.0507 s/iter. ETA=0:04:05 [10/26 12:18:48] d2.evaluation.evaluator INFO: Inference done 509/5258. Dataloading: 0.0012 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:04:00 [10/26 12:18:53] d2.evaluation.evaluator INFO: Inference done 608/5258. 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ETA=0:03:01 [10/26 12:19:49] d2.evaluation.evaluator INFO: Inference done 1722/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:02:56 [10/26 12:19:54] d2.evaluation.evaluator INFO: Inference done 1822/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:02:51 [10/26 12:19:59] d2.evaluation.evaluator INFO: Inference done 1921/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:02:47 [10/26 12:20:04] d2.evaluation.evaluator INFO: Inference done 2023/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:02:41 [10/26 12:20:09] d2.evaluation.evaluator INFO: Inference done 2122/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:02:36 [10/26 12:20:14] d2.evaluation.evaluator INFO: Inference done 2222/5258. 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ETA=0:00:21 [10/26 12:22:30] d2.evaluation.evaluator INFO: Inference done 4930/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:00:16 [10/26 12:22:35] d2.evaluation.evaluator INFO: Inference done 5029/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:00:11 [10/26 12:22:40] d2.evaluation.evaluator INFO: Inference done 5125/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:00:06 [10/26 12:22:45] d2.evaluation.evaluator INFO: Inference done 5226/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:00:01 [10/26 12:22:46] d2.evaluation.evaluator INFO: Total inference time: 0:04:23.301596 (0.050124 s / iter per device, on 1 devices) [10/26 12:22:46] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:14 (0.048494 s / iter per device, on 1 devices) [10/26 12:22:46] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 12:23:51] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 12:23:51] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 12:23:51] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 12:23:51] d2.evaluation.testing INFO: copypaste: 6.1561,13.0612,5.5861 [10/26 12:23:51] d2.utils.events INFO: eta: 11:12:39 iter: 23599 total_loss: 2.548 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04003 loss_box_reg_sup: 0.3557 loss_rpn_cls_sup: 0.03481 loss_rpn_loc_sup: 0.3031 loss_cls_unsup: 0.2835 loss_box_reg_unsup: 0.5426 loss_rpn_cls_unsup: 0.3507 loss_rpn_loc_unsup: 0.6085 time: 6.0875 data_time: 0.8460 lr: 0.016 max_mem: 18367M [10/26 12:26:22] d2.utils.events INFO: eta: 11:10:36 iter: 23619 total_loss: 2.514 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04266 loss_box_reg_sup: 0.3613 loss_rpn_cls_sup: 0.03463 loss_rpn_loc_sup: 0.3081 loss_cls_unsup: 0.2672 loss_box_reg_unsup: 0.5199 loss_rpn_cls_unsup: 0.3494 loss_rpn_loc_unsup: 0.5912 time: 6.0887 data_time: 0.8332 lr: 0.016 max_mem: 18367M [10/26 12:28:40] d2.utils.events INFO: eta: 11:08:34 iter: 23639 total_loss: 2.461 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03809 loss_box_reg_sup: 0.3374 loss_rpn_cls_sup: 0.03159 loss_rpn_loc_sup: 0.2786 loss_cls_unsup: 0.2739 loss_box_reg_unsup: 0.5507 loss_rpn_cls_unsup: 0.3416 loss_rpn_loc_unsup: 0.61 time: 6.0894 data_time: 0.8503 lr: 0.016 max_mem: 18367M [10/26 12:30:49] d2.utils.events INFO: eta: 11:06:37 iter: 23659 total_loss: 2.449 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03841 loss_box_reg_sup: 0.3305 loss_rpn_cls_sup: 0.0327 loss_rpn_loc_sup: 0.2993 loss_cls_unsup: 0.2676 loss_box_reg_unsup: 0.5307 loss_rpn_cls_unsup: 0.3339 loss_rpn_loc_unsup: 0.5764 time: 6.0897 data_time: 0.8379 lr: 0.016 max_mem: 18367M [10/26 12:32:56] d2.utils.events INFO: eta: 11:04:22 iter: 23679 total_loss: 2.482 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03664 loss_box_reg_sup: 0.3287 loss_rpn_cls_sup: 0.03179 loss_rpn_loc_sup: 0.3025 loss_cls_unsup: 0.2767 loss_box_reg_unsup: 0.5357 loss_rpn_cls_unsup: 0.3376 loss_rpn_loc_unsup: 0.6169 time: 6.0899 data_time: 0.8499 lr: 0.016 max_mem: 18367M [10/26 12:35:08] d2.utils.events INFO: eta: 11:02:06 iter: 23699 total_loss: 2.417 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03944 loss_box_reg_sup: 0.3433 loss_rpn_cls_sup: 0.03476 loss_rpn_loc_sup: 0.3076 loss_cls_unsup: 0.268 loss_box_reg_unsup: 0.5361 loss_rpn_cls_unsup: 0.3381 loss_rpn_loc_unsup: 0.5703 time: 6.0904 data_time: 0.8425 lr: 0.016 max_mem: 18367M [10/26 12:37:34] d2.utils.events INFO: eta: 11:00:09 iter: 23719 total_loss: 2.651 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04157 loss_box_reg_sup: 0.4057 loss_rpn_cls_sup: 0.03738 loss_rpn_loc_sup: 0.3425 loss_cls_unsup: 0.2876 loss_box_reg_unsup: 0.5359 loss_rpn_cls_unsup: 0.3752 loss_rpn_loc_unsup: 0.6768 time: 6.0914 data_time: 0.8493 lr: 0.016 max_mem: 18367M [10/26 12:40:04] d2.utils.events INFO: eta: 10:58:03 iter: 23739 total_loss: 2.535 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03936 loss_box_reg_sup: 0.3448 loss_rpn_cls_sup: 0.034 loss_rpn_loc_sup: 0.3047 loss_cls_unsup: 0.2672 loss_box_reg_unsup: 0.5416 loss_rpn_cls_unsup: 0.3554 loss_rpn_loc_unsup: 0.6145 time: 6.0926 data_time: 0.8442 lr: 0.016 max_mem: 18367M [10/26 12:42:13] d2.utils.events INFO: eta: 10:55:54 iter: 23759 total_loss: 2.348 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03692 loss_box_reg_sup: 0.3221 loss_rpn_cls_sup: 0.03147 loss_rpn_loc_sup: 0.2841 loss_cls_unsup: 0.2846 loss_box_reg_unsup: 0.5496 loss_rpn_cls_unsup: 0.3498 loss_rpn_loc_unsup: 0.5215 time: 6.0929 data_time: 0.8395 lr: 0.016 max_mem: 18367M [10/26 12:44:33] d2.utils.events INFO: eta: 10:54:03 iter: 23779 total_loss: 2.503 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03737 loss_box_reg_sup: 0.3264 loss_rpn_cls_sup: 0.03593 loss_rpn_loc_sup: 0.3098 loss_cls_unsup: 0.2796 loss_box_reg_unsup: 0.5488 loss_rpn_cls_unsup: 0.3362 loss_rpn_loc_unsup: 0.6022 time: 6.0936 data_time: 0.8389 lr: 0.016 max_mem: 18367M [10/26 12:46:55] d2.utils.events INFO: eta: 10:51:57 iter: 23799 total_loss: 2.517 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03894 loss_box_reg_sup: 0.3748 loss_rpn_cls_sup: 0.03473 loss_rpn_loc_sup: 0.317 loss_cls_unsup: 0.2645 loss_box_reg_unsup: 0.5267 loss_rpn_cls_unsup: 0.343 loss_rpn_loc_unsup: 0.6152 time: 6.0945 data_time: 0.8270 lr: 0.016 max_mem: 18367M [10/26 12:49:13] d2.utils.events INFO: eta: 10:49:59 iter: 23819 total_loss: 2.554 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03996 loss_box_reg_sup: 0.3911 loss_rpn_cls_sup: 0.03464 loss_rpn_loc_sup: 0.328 loss_cls_unsup: 0.286 loss_box_reg_unsup: 0.5534 loss_rpn_cls_unsup: 0.3586 loss_rpn_loc_unsup: 0.5906 time: 6.0951 data_time: 0.8517 lr: 0.016 max_mem: 18367M [10/26 12:51:32] d2.utils.events INFO: eta: 10:48:01 iter: 23839 total_loss: 2.617 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03931 loss_box_reg_sup: 0.3664 loss_rpn_cls_sup: 0.0401 loss_rpn_loc_sup: 0.3206 loss_cls_unsup: 0.2736 loss_box_reg_unsup: 0.5677 loss_rpn_cls_unsup: 0.3609 loss_rpn_loc_unsup: 0.6017 time: 6.0959 data_time: 0.8597 lr: 0.016 max_mem: 18367M [10/26 12:53:47] d2.utils.events INFO: eta: 10:46:07 iter: 23859 total_loss: 2.459 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03767 loss_box_reg_sup: 0.3485 loss_rpn_cls_sup: 0.03549 loss_rpn_loc_sup: 0.2979 loss_cls_unsup: 0.2767 loss_box_reg_unsup: 0.5363 loss_rpn_cls_unsup: 0.3447 loss_rpn_loc_unsup: 0.5684 time: 6.0964 data_time: 0.8447 lr: 0.016 max_mem: 18367M [10/26 12:55:58] d2.utils.events INFO: eta: 10:44:17 iter: 23879 total_loss: 2.504 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03984 loss_box_reg_sup: 0.3551 loss_rpn_cls_sup: 0.03506 loss_rpn_loc_sup: 0.3153 loss_cls_unsup: 0.2794 loss_box_reg_unsup: 0.5244 loss_rpn_cls_unsup: 0.3519 loss_rpn_loc_unsup: 0.598 time: 6.0968 data_time: 0.8470 lr: 0.016 max_mem: 18367M [10/26 12:58:14] d2.utils.events INFO: eta: 10:42:13 iter: 23899 total_loss: 2.598 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04557 loss_box_reg_sup: 0.3858 loss_rpn_cls_sup: 0.03642 loss_rpn_loc_sup: 0.3236 loss_cls_unsup: 0.2902 loss_box_reg_unsup: 0.5596 loss_rpn_cls_unsup: 0.3572 loss_rpn_loc_unsup: 0.5913 time: 6.0974 data_time: 0.8686 lr: 0.016 max_mem: 18367M [10/26 13:00:24] d2.utils.events INFO: eta: 10:40:11 iter: 23919 total_loss: 2.523 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03988 loss_box_reg_sup: 0.3537 loss_rpn_cls_sup: 0.03306 loss_rpn_loc_sup: 0.2942 loss_cls_unsup: 0.2797 loss_box_reg_unsup: 0.5567 loss_rpn_cls_unsup: 0.3475 loss_rpn_loc_unsup: 0.6137 time: 6.0977 data_time: 0.8144 lr: 0.016 max_mem: 18367M [10/26 13:02:36] d2.utils.events INFO: eta: 10:37:58 iter: 23939 total_loss: 2.485 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03726 loss_box_reg_sup: 0.3358 loss_rpn_cls_sup: 0.03131 loss_rpn_loc_sup: 0.2955 loss_cls_unsup: 0.2747 loss_box_reg_unsup: 0.5502 loss_rpn_cls_unsup: 0.3527 loss_rpn_loc_unsup: 0.6136 time: 6.0981 data_time: 0.8235 lr: 0.016 max_mem: 18367M [10/26 13:04:42] d2.utils.events INFO: eta: 10:35:54 iter: 23959 total_loss: 2.505 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03583 loss_box_reg_sup: 0.3656 loss_rpn_cls_sup: 0.03304 loss_rpn_loc_sup: 0.3047 loss_cls_unsup: 0.2719 loss_box_reg_unsup: 0.5433 loss_rpn_cls_unsup: 0.3505 loss_rpn_loc_unsup: 0.5848 time: 6.0983 data_time: 0.8219 lr: 0.016 max_mem: 18367M [10/26 13:06:57] d2.utils.events INFO: eta: 10:33:47 iter: 23979 total_loss: 2.505 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04184 loss_box_reg_sup: 0.3757 loss_rpn_cls_sup: 0.03388 loss_rpn_loc_sup: 0.3248 loss_cls_unsup: 0.2788 loss_box_reg_unsup: 0.5506 loss_rpn_cls_unsup: 0.3545 loss_rpn_loc_unsup: 0.5721 time: 6.0989 data_time: 0.8356 lr: 0.016 max_mem: 18367M [10/26 13:09:06] fvcore.common.checkpoint INFO: Saving checkpoint to ./output/k2bdd/model_0023999.pth [10/26 13:09:14] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 13:09:14] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 13:09:14] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 13:09:14] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 13:09:15] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0441 s/iter. Eval: 0.0005 s/iter. Total: 0.0454 s/iter. ETA=0:03:58 [10/26 13:09:20] d2.evaluation.evaluator INFO: Inference done 135/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:03:28 [10/26 13:09:25] d2.evaluation.evaluator INFO: Inference done 264/5258. Dataloading: 0.0010 s/iter. Inference: 0.0383 s/iter. Eval: 0.0005 s/iter. Total: 0.0398 s/iter. ETA=0:03:18 [10/26 13:09:30] d2.evaluation.evaluator INFO: Inference done 394/5258. Dataloading: 0.0010 s/iter. 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ETA=0:00:15 [10/26 13:12:41] d2.evaluation.evaluator INFO: Inference done 4985/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:00:11 [10/26 13:12:46] d2.evaluation.evaluator INFO: Inference done 5087/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:00:07 [10/26 13:12:51] d2.evaluation.evaluator INFO: Inference done 5195/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0416 s/iter. ETA=0:00:02 [10/26 13:12:54] d2.evaluation.evaluator INFO: Total inference time: 0:03:38.713327 (0.041636 s / iter per device, on 1 devices) [10/26 13:12:54] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:30 (0.040058 s / iter per device, on 1 devices) [10/26 13:12:54] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 13:14:09] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 13:14:09] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 13:14:09] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 13:14:09] d2.evaluation.testing INFO: copypaste: 5.6363,12.0316,5.0197 [10/26 13:14:11] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 13:14:11] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 13:14:11] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 13:14:11] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 13:14:12] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0060 s/iter. Inference: 0.0469 s/iter. Eval: 0.0015 s/iter. Total: 0.0543 s/iter. ETA=0:04:45 [10/26 13:14:18] d2.evaluation.evaluator INFO: Inference done 109/5258. Dataloading: 0.0018 s/iter. Inference: 0.0492 s/iter. Eval: 0.0005 s/iter. Total: 0.0516 s/iter. ETA=0:04:25 [10/26 13:14:23] d2.evaluation.evaluator INFO: Inference done 208/5258. Dataloading: 0.0020 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0513 s/iter. ETA=0:04:18 [10/26 13:14:28] d2.evaluation.evaluator INFO: Inference done 305/5258. Dataloading: 0.0017 s/iter. Inference: 0.0491 s/iter. Eval: 0.0005 s/iter. Total: 0.0513 s/iter. ETA=0:04:14 [10/26 13:14:33] d2.evaluation.evaluator INFO: Inference done 403/5258. Dataloading: 0.0016 s/iter. Inference: 0.0492 s/iter. Eval: 0.0005 s/iter. Total: 0.0513 s/iter. ETA=0:04:09 [10/26 13:14:38] d2.evaluation.evaluator INFO: Inference done 501/5258. Dataloading: 0.0015 s/iter. Inference: 0.0494 s/iter. Eval: 0.0005 s/iter. Total: 0.0513 s/iter. ETA=0:04:04 [10/26 13:14:43] d2.evaluation.evaluator INFO: Inference done 596/5258. 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ETA=0:00:23 [10/26 13:18:19] d2.evaluation.evaluator INFO: Inference done 4885/5258. Dataloading: 0.0012 s/iter. Inference: 0.0488 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:00:18 [10/26 13:18:24] d2.evaluation.evaluator INFO: Inference done 4985/5258. Dataloading: 0.0012 s/iter. Inference: 0.0488 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:00:13 [10/26 13:18:29] d2.evaluation.evaluator INFO: Inference done 5087/5258. Dataloading: 0.0012 s/iter. Inference: 0.0488 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:00:08 [10/26 13:18:34] d2.evaluation.evaluator INFO: Inference done 5189/5258. Dataloading: 0.0012 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0504 s/iter. ETA=0:00:03 [10/26 13:18:37] d2.evaluation.evaluator INFO: Total inference time: 0:04:24.927184 (0.050434 s / iter per device, on 1 devices) [10/26 13:18:37] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:15 (0.048725 s / iter per device, on 1 devices) [10/26 13:18:37] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 13:19:46] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 13:19:46] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 13:19:46] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 13:19:46] d2.evaluation.testing INFO: copypaste: 6.1515,13.0788,5.5438 [10/26 13:19:46] d2.utils.events INFO: eta: 10:31:40 iter: 23999 total_loss: 2.441 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03515 loss_box_reg_sup: 0.3434 loss_rpn_cls_sup: 0.03128 loss_rpn_loc_sup: 0.3138 loss_cls_unsup: 0.2865 loss_box_reg_unsup: 0.5278 loss_rpn_cls_unsup: 0.3541 loss_rpn_loc_unsup: 0.5618 time: 6.0992 data_time: 0.8671 lr: 0.016 max_mem: 18367M [10/26 13:22:01] d2.utils.events INFO: eta: 10:29:40 iter: 24019 total_loss: 2.498 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0387 loss_box_reg_sup: 0.3609 loss_rpn_cls_sup: 0.03298 loss_rpn_loc_sup: 0.3013 loss_cls_unsup: 0.2743 loss_box_reg_unsup: 0.5223 loss_rpn_cls_unsup: 0.3494 loss_rpn_loc_unsup: 0.5929 time: 6.0997 data_time: 0.8199 lr: 0.016 max_mem: 18367M [10/26 13:24:08] d2.utils.events INFO: eta: 10:27:28 iter: 24039 total_loss: 2.448 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04218 loss_box_reg_sup: 0.3624 loss_rpn_cls_sup: 0.03723 loss_rpn_loc_sup: 0.3236 loss_cls_unsup: 0.2611 loss_box_reg_unsup: 0.5297 loss_rpn_cls_unsup: 0.3348 loss_rpn_loc_unsup: 0.5663 time: 6.0999 data_time: 0.8821 lr: 0.016 max_mem: 18367M [10/26 13:26:23] d2.utils.events INFO: eta: 10:25:20 iter: 24059 total_loss: 2.56 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03719 loss_box_reg_sup: 0.3307 loss_rpn_cls_sup: 0.03564 loss_rpn_loc_sup: 0.3181 loss_cls_unsup: 0.2764 loss_box_reg_unsup: 0.5396 loss_rpn_cls_unsup: 0.3674 loss_rpn_loc_unsup: 0.6239 time: 6.1005 data_time: 0.8132 lr: 0.016 max_mem: 18367M [10/26 13:28:39] d2.utils.events INFO: eta: 10:23:15 iter: 24079 total_loss: 2.574 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0416 loss_box_reg_sup: 0.3626 loss_rpn_cls_sup: 0.03535 loss_rpn_loc_sup: 0.3193 loss_cls_unsup: 0.2806 loss_box_reg_unsup: 0.551 loss_rpn_cls_unsup: 0.3575 loss_rpn_loc_unsup: 0.5744 time: 6.1011 data_time: 0.8265 lr: 0.016 max_mem: 18367M [10/26 13:30:50] d2.utils.events INFO: eta: 10:21:07 iter: 24099 total_loss: 2.528 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03752 loss_box_reg_sup: 0.3482 loss_rpn_cls_sup: 0.03227 loss_rpn_loc_sup: 0.2873 loss_cls_unsup: 0.2669 loss_box_reg_unsup: 0.5689 loss_rpn_cls_unsup: 0.3585 loss_rpn_loc_unsup: 0.5997 time: 6.1014 data_time: 0.8410 lr: 0.016 max_mem: 18367M [10/26 13:33:06] d2.utils.events INFO: eta: 10:19:02 iter: 24119 total_loss: 2.61 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04157 loss_box_reg_sup: 0.3768 loss_rpn_cls_sup: 0.03573 loss_rpn_loc_sup: 0.3193 loss_cls_unsup: 0.2653 loss_box_reg_unsup: 0.5312 loss_rpn_cls_unsup: 0.3501 loss_rpn_loc_unsup: 0.6389 time: 6.1020 data_time: 0.8288 lr: 0.016 max_mem: 18367M [10/26 13:35:18] d2.utils.events INFO: eta: 10:16:52 iter: 24139 total_loss: 2.515 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0369 loss_box_reg_sup: 0.358 loss_rpn_cls_sup: 0.03625 loss_rpn_loc_sup: 0.3153 loss_cls_unsup: 0.2654 loss_box_reg_unsup: 0.5331 loss_rpn_cls_unsup: 0.3526 loss_rpn_loc_unsup: 0.6031 time: 6.1024 data_time: 0.8334 lr: 0.016 max_mem: 18367M [10/26 13:37:30] d2.utils.events INFO: eta: 10:14:19 iter: 24159 total_loss: 2.523 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03778 loss_box_reg_sup: 0.355 loss_rpn_cls_sup: 0.03477 loss_rpn_loc_sup: 0.3134 loss_cls_unsup: 0.2751 loss_box_reg_unsup: 0.5687 loss_rpn_cls_unsup: 0.3618 loss_rpn_loc_unsup: 0.5918 time: 6.1028 data_time: 0.7876 lr: 0.016 max_mem: 18367M [10/26 13:39:42] d2.utils.events INFO: eta: 10:12:39 iter: 24179 total_loss: 2.543 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04313 loss_box_reg_sup: 0.3518 loss_rpn_cls_sup: 0.04302 loss_rpn_loc_sup: 0.3136 loss_cls_unsup: 0.2666 loss_box_reg_unsup: 0.551 loss_rpn_cls_unsup: 0.3505 loss_rpn_loc_unsup: 0.573 time: 6.1032 data_time: 0.8927 lr: 0.016 max_mem: 18367M [10/26 13:41:52] d2.utils.events INFO: eta: 10:10:38 iter: 24199 total_loss: 2.582 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04335 loss_box_reg_sup: 0.382 loss_rpn_cls_sup: 0.03421 loss_rpn_loc_sup: 0.307 loss_cls_unsup: 0.2854 loss_box_reg_unsup: 0.5479 loss_rpn_cls_unsup: 0.3573 loss_rpn_loc_unsup: 0.6773 time: 6.1035 data_time: 0.8391 lr: 0.016 max_mem: 18367M [10/26 13:43:58] d2.utils.events INFO: eta: 10:08:32 iter: 24219 total_loss: 2.422 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03605 loss_box_reg_sup: 0.3321 loss_rpn_cls_sup: 0.02996 loss_rpn_loc_sup: 0.2852 loss_cls_unsup: 0.2808 loss_box_reg_unsup: 0.5401 loss_rpn_cls_unsup: 0.3321 loss_rpn_loc_unsup: 0.6067 time: 6.1037 data_time: 0.8036 lr: 0.016 max_mem: 18367M [10/26 13:46:04] d2.utils.events INFO: eta: 10:06:17 iter: 24239 total_loss: 2.541 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03908 loss_box_reg_sup: 0.3495 loss_rpn_cls_sup: 0.03242 loss_rpn_loc_sup: 0.2954 loss_cls_unsup: 0.2834 loss_box_reg_unsup: 0.5669 loss_rpn_cls_unsup: 0.3617 loss_rpn_loc_unsup: 0.5532 time: 6.1039 data_time: 0.8067 lr: 0.016 max_mem: 18367M [10/26 13:48:16] d2.utils.events INFO: eta: 10:03:52 iter: 24259 total_loss: 2.476 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03937 loss_box_reg_sup: 0.3285 loss_rpn_cls_sup: 0.03326 loss_rpn_loc_sup: 0.2982 loss_cls_unsup: 0.2734 loss_box_reg_unsup: 0.5531 loss_rpn_cls_unsup: 0.3374 loss_rpn_loc_unsup: 0.5943 time: 6.1043 data_time: 0.8225 lr: 0.016 max_mem: 18367M [10/26 13:50:28] d2.utils.events INFO: eta: 10:01:38 iter: 24279 total_loss: 2.495 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03888 loss_box_reg_sup: 0.3585 loss_rpn_cls_sup: 0.0349 loss_rpn_loc_sup: 0.3091 loss_cls_unsup: 0.2764 loss_box_reg_unsup: 0.5321 loss_rpn_cls_unsup: 0.36 loss_rpn_loc_unsup: 0.5639 time: 6.1047 data_time: 0.8265 lr: 0.016 max_mem: 18367M [10/26 13:52:50] d2.utils.events INFO: eta: 9:59:37 iter: 24299 total_loss: 2.553 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03839 loss_box_reg_sup: 0.3612 loss_rpn_cls_sup: 0.03115 loss_rpn_loc_sup: 0.3145 loss_cls_unsup: 0.2886 loss_box_reg_unsup: 0.5548 loss_rpn_cls_unsup: 0.3602 loss_rpn_loc_unsup: 0.6215 time: 6.1055 data_time: 0.8201 lr: 0.016 max_mem: 18367M [10/26 13:54:59] d2.utils.events INFO: eta: 9:57:23 iter: 24319 total_loss: 2.555 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03708 loss_box_reg_sup: 0.3285 loss_rpn_cls_sup: 0.03401 loss_rpn_loc_sup: 0.3176 loss_cls_unsup: 0.2694 loss_box_reg_unsup: 0.5479 loss_rpn_cls_unsup: 0.3533 loss_rpn_loc_unsup: 0.59 time: 6.1058 data_time: 0.8421 lr: 0.016 max_mem: 18367M [10/26 13:57:05] d2.utils.events INFO: eta: 9:55:20 iter: 24339 total_loss: 2.521 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03765 loss_box_reg_sup: 0.336 loss_rpn_cls_sup: 0.03183 loss_rpn_loc_sup: 0.3053 loss_cls_unsup: 0.2836 loss_box_reg_unsup: 0.573 loss_rpn_cls_unsup: 0.3656 loss_rpn_loc_unsup: 0.5879 time: 6.1060 data_time: 0.8211 lr: 0.016 max_mem: 18367M [10/26 13:59:26] d2.utils.events INFO: eta: 9:53:40 iter: 24359 total_loss: 2.576 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03887 loss_box_reg_sup: 0.3557 loss_rpn_cls_sup: 0.03581 loss_rpn_loc_sup: 0.3301 loss_cls_unsup: 0.2818 loss_box_reg_unsup: 0.5761 loss_rpn_cls_unsup: 0.3473 loss_rpn_loc_unsup: 0.638 time: 6.1068 data_time: 0.8431 lr: 0.016 max_mem: 18367M [10/26 14:01:38] d2.utils.events INFO: eta: 9:51:25 iter: 24379 total_loss: 2.509 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04004 loss_box_reg_sup: 0.3575 loss_rpn_cls_sup: 0.03363 loss_rpn_loc_sup: 0.3179 loss_cls_unsup: 0.2773 loss_box_reg_unsup: 0.54 loss_rpn_cls_unsup: 0.3472 loss_rpn_loc_unsup: 0.6084 time: 6.1071 data_time: 0.8283 lr: 0.016 max_mem: 18367M [10/26 14:04:00] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 14:04:00] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 14:04:00] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 14:04:00] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 14:04:02] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0012 s/iter. Inference: 0.0500 s/iter. Eval: 0.0006 s/iter. Total: 0.0518 s/iter. ETA=0:04:31 [10/26 14:04:07] d2.evaluation.evaluator INFO: Inference done 106/5258. Dataloading: 0.0013 s/iter. Inference: 0.0513 s/iter. Eval: 0.0005 s/iter. Total: 0.0531 s/iter. ETA=0:04:33 [10/26 14:04:12] d2.evaluation.evaluator INFO: Inference done 220/5258. Dataloading: 0.0013 s/iter. Inference: 0.0465 s/iter. Eval: 0.0005 s/iter. Total: 0.0483 s/iter. ETA=0:04:03 [10/26 14:04:17] d2.evaluation.evaluator INFO: Inference done 347/5258. Dataloading: 0.0012 s/iter. Inference: 0.0433 s/iter. Eval: 0.0004 s/iter. Total: 0.0450 s/iter. ETA=0:03:40 [10/26 14:04:22] d2.evaluation.evaluator INFO: Inference done 470/5258. Dataloading: 0.0012 s/iter. Inference: 0.0422 s/iter. Eval: 0.0005 s/iter. Total: 0.0439 s/iter. ETA=0:03:30 [10/26 14:04:27] d2.evaluation.evaluator INFO: Inference done 599/5258. Dataloading: 0.0011 s/iter. Inference: 0.0412 s/iter. Eval: 0.0005 s/iter. Total: 0.0428 s/iter. ETA=0:03:19 [10/26 14:04:32] d2.evaluation.evaluator INFO: Inference done 710/5258. Dataloading: 0.0011 s/iter. Inference: 0.0416 s/iter. Eval: 0.0005 s/iter. Total: 0.0432 s/iter. ETA=0:03:16 [10/26 14:04:37] d2.evaluation.evaluator INFO: Inference done 840/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:03:07 [10/26 14:04:42] d2.evaluation.evaluator INFO: Inference done 960/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:03:02 [10/26 14:04:47] d2.evaluation.evaluator INFO: Inference done 1086/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:02:55 [10/26 14:04:52] d2.evaluation.evaluator INFO: Inference done 1213/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:02:49 [10/26 14:04:57] d2.evaluation.evaluator INFO: Inference done 1336/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:02:43 [10/26 14:05:02] d2.evaluation.evaluator INFO: Inference done 1464/5258. Dataloading: 0.0011 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:02:37 [10/26 14:05:07] d2.evaluation.evaluator INFO: Inference done 1595/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0413 s/iter. ETA=0:02:31 [10/26 14:05:12] d2.evaluation.evaluator INFO: Inference done 1723/5258. Dataloading: 0.0011 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:02:25 [10/26 14:05:17] d2.evaluation.evaluator INFO: Inference done 1849/5258. Dataloading: 0.0011 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:02:19 [10/26 14:05:22] d2.evaluation.evaluator INFO: Inference done 1973/5258. Dataloading: 0.0011 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:02:14 [10/26 14:05:27] d2.evaluation.evaluator INFO: Inference done 2099/5258. Dataloading: 0.0011 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:02:09 [10/26 14:05:32] d2.evaluation.evaluator INFO: Inference done 2221/5258. Dataloading: 0.0011 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:02:04 [10/26 14:05:37] d2.evaluation.evaluator INFO: Inference done 2343/5258. Dataloading: 0.0011 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. 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ETA=0:01:32 [10/26 14:06:07] d2.evaluation.evaluator INFO: Inference done 3110/5258. Dataloading: 0.0011 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:01:27 [10/26 14:06:12] d2.evaluation.evaluator INFO: Inference done 3237/5258. Dataloading: 0.0011 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:01:21 [10/26 14:06:17] d2.evaluation.evaluator INFO: Inference done 3365/5258. Dataloading: 0.0011 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0404 s/iter. ETA=0:01:16 [10/26 14:06:22] d2.evaluation.evaluator INFO: Inference done 3481/5258. Dataloading: 0.0011 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:01:12 [10/26 14:06:27] d2.evaluation.evaluator INFO: Inference done 3606/5258. Dataloading: 0.0011 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:01:06 [10/26 14:06:32] d2.evaluation.evaluator INFO: Inference done 3730/5258. Dataloading: 0.0011 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:01:01 [10/26 14:06:37] d2.evaluation.evaluator INFO: Inference done 3857/5258. Dataloading: 0.0011 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:00:56 [10/26 14:06:42] d2.evaluation.evaluator INFO: Inference done 3972/5258. Dataloading: 0.0011 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:00:52 [10/26 14:06:47] d2.evaluation.evaluator INFO: Inference done 4098/5258. Dataloading: 0.0011 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:00:47 [10/26 14:06:52] d2.evaluation.evaluator INFO: Inference done 4225/5258. Dataloading: 0.0011 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:00:41 [10/26 14:06:57] d2.evaluation.evaluator INFO: Inference done 4348/5258. Dataloading: 0.0011 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:00:36 [10/26 14:07:03] d2.evaluation.evaluator INFO: Inference done 4474/5258. Dataloading: 0.0011 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:00:31 [10/26 14:07:08] d2.evaluation.evaluator INFO: Inference done 4603/5258. Dataloading: 0.0011 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:00:26 [10/26 14:07:13] d2.evaluation.evaluator INFO: Inference done 4727/5258. Dataloading: 0.0011 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:00:21 [10/26 14:07:18] d2.evaluation.evaluator INFO: Inference done 4848/5258. Dataloading: 0.0011 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:00:16 [10/26 14:07:23] d2.evaluation.evaluator INFO: Inference done 4975/5258. Dataloading: 0.0011 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:00:11 [10/26 14:07:28] d2.evaluation.evaluator INFO: Inference done 5101/5258. Dataloading: 0.0011 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:00:06 [10/26 14:07:33] d2.evaluation.evaluator INFO: Inference done 5225/5258. Dataloading: 0.0011 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:00:01 [10/26 14:07:34] d2.evaluation.evaluator INFO: Total inference time: 0:03:32.649147 (0.040481 s / iter per device, on 1 devices) [10/26 14:07:34] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:24 (0.038903 s / iter per device, on 1 devices) [10/26 14:07:34] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 14:08:40] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 14:08:40] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 14:08:40] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 14:08:40] d2.evaluation.testing INFO: copypaste: 5.7150,12.4062,5.0099 [10/26 14:08:42] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 14:08:42] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 14:08:42] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 14:08:42] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 14:08:43] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0504 s/iter. ETA=0:04:24 [10/26 14:08:48] d2.evaluation.evaluator INFO: Inference done 114/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0004 s/iter. Total: 0.0490 s/iter. ETA=0:04:12 [10/26 14:08:53] d2.evaluation.evaluator INFO: Inference done 216/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0004 s/iter. Total: 0.0491 s/iter. ETA=0:04:07 [10/26 14:08:58] d2.evaluation.evaluator INFO: Inference done 318/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0004 s/iter. Total: 0.0491 s/iter. ETA=0:04:02 [10/26 14:09:03] d2.evaluation.evaluator INFO: Inference done 420/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0004 s/iter. Total: 0.0491 s/iter. ETA=0:03:57 [10/26 14:09:08] d2.evaluation.evaluator INFO: Inference done 521/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:03:53 [10/26 14:09:13] d2.evaluation.evaluator INFO: Inference done 623/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0004 s/iter. Total: 0.0492 s/iter. ETA=0:03:48 [10/26 14:09:18] d2.evaluation.evaluator INFO: Inference done 725/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:03:43 [10/26 14:09:23] d2.evaluation.evaluator INFO: Inference done 828/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0004 s/iter. Total: 0.0492 s/iter. ETA=0:03:38 [10/26 14:09:29] d2.evaluation.evaluator INFO: Inference done 931/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0004 s/iter. Total: 0.0492 s/iter. ETA=0:03:32 [10/26 14:09:34] d2.evaluation.evaluator INFO: Inference done 1033/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0004 s/iter. Total: 0.0492 s/iter. ETA=0:03:27 [10/26 14:09:39] d2.evaluation.evaluator INFO: Inference done 1135/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0004 s/iter. 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ETA=0:02:58 [10/26 14:10:09] d2.evaluation.evaluator INFO: Inference done 1745/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0004 s/iter. Total: 0.0493 s/iter. ETA=0:02:53 [10/26 14:10:14] d2.evaluation.evaluator INFO: Inference done 1849/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0004 s/iter. Total: 0.0492 s/iter. ETA=0:02:47 [10/26 14:10:19] d2.evaluation.evaluator INFO: Inference done 1951/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0004 s/iter. Total: 0.0492 s/iter. ETA=0:02:42 [10/26 14:10:24] d2.evaluation.evaluator INFO: Inference done 2051/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:37 [10/26 14:10:29] d2.evaluation.evaluator INFO: Inference done 2151/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:33 [10/26 14:10:34] d2.evaluation.evaluator INFO: Inference done 2253/5258. 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Total: 0.0495 s/iter. ETA=0:02:03 [10/26 14:11:04] d2.evaluation.evaluator INFO: Inference done 2853/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:59 [10/26 14:11:09] d2.evaluation.evaluator INFO: Inference done 2953/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:54 [10/26 14:11:14] d2.evaluation.evaluator INFO: Inference done 3055/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:49 [10/26 14:11:19] d2.evaluation.evaluator INFO: Inference done 3155/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:44 [10/26 14:11:24] d2.evaluation.evaluator INFO: Inference done 3258/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:39 [10/26 14:11:29] d2.evaluation.evaluator INFO: Inference done 3360/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:33 [10/26 14:11:34] d2.evaluation.evaluator INFO: Inference done 3462/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:28 [10/26 14:11:39] d2.evaluation.evaluator INFO: Inference done 3564/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:23 [10/26 14:11:44] d2.evaluation.evaluator INFO: Inference done 3665/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:18 [10/26 14:11:49] d2.evaluation.evaluator INFO: Inference done 3765/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:13 [10/26 14:11:54] d2.evaluation.evaluator INFO: Inference done 3867/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:08 [10/26 14:11:59] d2.evaluation.evaluator INFO: Inference done 3969/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:01:03 [10/26 14:12:04] d2.evaluation.evaluator INFO: Inference done 4069/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:58 [10/26 14:12:09] d2.evaluation.evaluator INFO: Inference done 4173/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:53 [10/26 14:12:14] d2.evaluation.evaluator INFO: Inference done 4276/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:48 [10/26 14:12:19] d2.evaluation.evaluator INFO: Inference done 4378/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:43 [10/26 14:12:24] d2.evaluation.evaluator INFO: Inference done 4481/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:38 [10/26 14:12:29] d2.evaluation.evaluator INFO: Inference done 4580/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:33 [10/26 14:12:34] d2.evaluation.evaluator INFO: Inference done 4681/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:28 [10/26 14:12:39] d2.evaluation.evaluator INFO: Inference done 4782/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:23 [10/26 14:12:44] d2.evaluation.evaluator INFO: Inference done 4882/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:18 [10/26 14:12:49] d2.evaluation.evaluator INFO: Inference done 4985/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:13 [10/26 14:12:55] d2.evaluation.evaluator INFO: Inference done 5086/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:08 [10/26 14:13:00] d2.evaluation.evaluator INFO: Inference done 5188/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0004 s/iter. Total: 0.0495 s/iter. ETA=0:00:03 [10/26 14:13:03] d2.evaluation.evaluator INFO: Total inference time: 0:04:20.081954 (0.049511 s / iter per device, on 1 devices) [10/26 14:13:03] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:11 (0.047967 s / iter per device, on 1 devices) [10/26 14:13:03] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 14:14:08] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 14:14:08] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 14:14:08] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 14:14:08] d2.evaluation.testing INFO: copypaste: 6.1712,13.0770,5.5821 [10/26 14:14:08] d2.utils.events INFO: eta: 9:49:22 iter: 24399 total_loss: 2.621 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03581 loss_box_reg_sup: 0.3384 loss_rpn_cls_sup: 0.03176 loss_rpn_loc_sup: 0.3081 loss_cls_unsup: 0.2827 loss_box_reg_unsup: 0.5244 loss_rpn_cls_unsup: 0.3727 loss_rpn_loc_unsup: 0.6955 time: 6.1077 data_time: 0.8824 lr: 0.016 max_mem: 18367M [10/26 14:16:13] d2.utils.events INFO: eta: 9:47:21 iter: 24419 total_loss: 2.7 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04136 loss_box_reg_sup: 0.3706 loss_rpn_cls_sup: 0.03478 loss_rpn_loc_sup: 0.3169 loss_cls_unsup: 0.2764 loss_box_reg_unsup: 0.5661 loss_rpn_cls_unsup: 0.3754 loss_rpn_loc_unsup: 0.634 time: 6.1079 data_time: 0.8152 lr: 0.016 max_mem: 18367M [10/26 14:18:20] d2.utils.events INFO: eta: 9:45:19 iter: 24439 total_loss: 2.562 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04017 loss_box_reg_sup: 0.3353 loss_rpn_cls_sup: 0.03345 loss_rpn_loc_sup: 0.3139 loss_cls_unsup: 0.2747 loss_box_reg_unsup: 0.5557 loss_rpn_cls_unsup: 0.3678 loss_rpn_loc_unsup: 0.6494 time: 6.1080 data_time: 0.8451 lr: 0.016 max_mem: 18367M [10/26 14:20:27] d2.utils.events INFO: eta: 9:43:12 iter: 24459 total_loss: 2.598 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03917 loss_box_reg_sup: 0.3595 loss_rpn_cls_sup: 0.03609 loss_rpn_loc_sup: 0.3073 loss_cls_unsup: 0.2831 loss_box_reg_unsup: 0.5671 loss_rpn_cls_unsup: 0.3556 loss_rpn_loc_unsup: 0.663 time: 6.1082 data_time: 0.8442 lr: 0.016 max_mem: 18367M [10/26 14:22:33] d2.utils.events INFO: eta: 9:41:02 iter: 24479 total_loss: 2.557 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03955 loss_box_reg_sup: 0.3361 loss_rpn_cls_sup: 0.03725 loss_rpn_loc_sup: 0.3011 loss_cls_unsup: 0.2832 loss_box_reg_unsup: 0.5724 loss_rpn_cls_unsup: 0.3469 loss_rpn_loc_unsup: 0.5845 time: 6.1084 data_time: 0.8380 lr: 0.016 max_mem: 18367M [10/26 14:24:40] d2.utils.events INFO: eta: 9:38:57 iter: 24499 total_loss: 2.645 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03812 loss_box_reg_sup: 0.3451 loss_rpn_cls_sup: 0.03369 loss_rpn_loc_sup: 0.3199 loss_cls_unsup: 0.282 loss_box_reg_unsup: 0.5789 loss_rpn_cls_unsup: 0.3777 loss_rpn_loc_unsup: 0.6831 time: 6.1086 data_time: 0.8355 lr: 0.016 max_mem: 18367M [10/26 14:26:48] d2.utils.events INFO: eta: 9:36:53 iter: 24519 total_loss: 2.538 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04087 loss_box_reg_sup: 0.3579 loss_rpn_cls_sup: 0.03453 loss_rpn_loc_sup: 0.2965 loss_cls_unsup: 0.2689 loss_box_reg_unsup: 0.5458 loss_rpn_cls_unsup: 0.3595 loss_rpn_loc_unsup: 0.5865 time: 6.1088 data_time: 0.8432 lr: 0.016 max_mem: 18367M [10/26 14:29:07] d2.utils.events INFO: eta: 9:34:53 iter: 24539 total_loss: 2.682 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03847 loss_box_reg_sup: 0.3627 loss_rpn_cls_sup: 0.03513 loss_rpn_loc_sup: 0.3236 loss_cls_unsup: 0.2751 loss_box_reg_unsup: 0.5467 loss_rpn_cls_unsup: 0.3765 loss_rpn_loc_unsup: 0.6325 time: 6.1095 data_time: 0.8380 lr: 0.016 max_mem: 18367M [10/26 14:31:16] d2.utils.events INFO: eta: 9:33:02 iter: 24559 total_loss: 2.502 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03576 loss_box_reg_sup: 0.3535 loss_rpn_cls_sup: 0.03236 loss_rpn_loc_sup: 0.299 loss_cls_unsup: 0.2807 loss_box_reg_unsup: 0.5329 loss_rpn_cls_unsup: 0.3652 loss_rpn_loc_unsup: 0.6237 time: 6.1098 data_time: 0.8362 lr: 0.016 max_mem: 18367M [10/26 14:33:30] d2.utils.events INFO: eta: 9:30:46 iter: 24579 total_loss: 2.572 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0398 loss_box_reg_sup: 0.3606 loss_rpn_cls_sup: 0.04088 loss_rpn_loc_sup: 0.3446 loss_cls_unsup: 0.2669 loss_box_reg_unsup: 0.5688 loss_rpn_cls_unsup: 0.3574 loss_rpn_loc_unsup: 0.5849 time: 6.1103 data_time: 0.8315 lr: 0.016 max_mem: 18367M [10/26 14:35:38] d2.utils.events INFO: eta: 9:28:45 iter: 24599 total_loss: 2.559 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04412 loss_box_reg_sup: 0.3277 loss_rpn_cls_sup: 0.03534 loss_rpn_loc_sup: 0.3024 loss_cls_unsup: 0.2772 loss_box_reg_unsup: 0.5679 loss_rpn_cls_unsup: 0.3658 loss_rpn_loc_unsup: 0.6033 time: 6.1105 data_time: 0.8300 lr: 0.016 max_mem: 18367M [10/26 14:37:51] d2.utils.events INFO: eta: 9:26:31 iter: 24619 total_loss: 2.499 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03584 loss_box_reg_sup: 0.3599 loss_rpn_cls_sup: 0.03493 loss_rpn_loc_sup: 0.3083 loss_cls_unsup: 0.2839 loss_box_reg_unsup: 0.5723 loss_rpn_cls_unsup: 0.3517 loss_rpn_loc_unsup: 0.5589 time: 6.1109 data_time: 0.8357 lr: 0.016 max_mem: 18367M [10/26 14:39:56] d2.utils.events INFO: eta: 9:24:17 iter: 24639 total_loss: 2.642 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04056 loss_box_reg_sup: 0.3621 loss_rpn_cls_sup: 0.03883 loss_rpn_loc_sup: 0.3133 loss_cls_unsup: 0.299 loss_box_reg_unsup: 0.5795 loss_rpn_cls_unsup: 0.3773 loss_rpn_loc_unsup: 0.645 time: 6.1110 data_time: 0.8026 lr: 0.016 max_mem: 18367M [10/26 14:42:00] d2.utils.events INFO: eta: 9:21:56 iter: 24659 total_loss: 2.774 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04229 loss_box_reg_sup: 0.37 loss_rpn_cls_sup: 0.04071 loss_rpn_loc_sup: 0.3205 loss_cls_unsup: 0.2961 loss_box_reg_unsup: 0.5615 loss_rpn_cls_unsup: 0.3872 loss_rpn_loc_unsup: 0.7466 time: 6.1111 data_time: 0.8305 lr: 0.016 max_mem: 18367M [10/26 14:44:05] d2.utils.events INFO: eta: 9:19:39 iter: 24679 total_loss: 2.703 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04382 loss_box_reg_sup: 0.3725 loss_rpn_cls_sup: 0.04086 loss_rpn_loc_sup: 0.314 loss_cls_unsup: 0.2912 loss_box_reg_unsup: 0.5621 loss_rpn_cls_unsup: 0.35 loss_rpn_loc_unsup: 0.6498 time: 6.1112 data_time: 0.8218 lr: 0.016 max_mem: 18367M [10/26 14:46:16] d2.utils.events INFO: eta: 9:17:35 iter: 24699 total_loss: 2.556 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03564 loss_box_reg_sup: 0.3191 loss_rpn_cls_sup: 0.03148 loss_rpn_loc_sup: 0.2858 loss_cls_unsup: 0.2885 loss_box_reg_unsup: 0.5558 loss_rpn_cls_unsup: 0.3702 loss_rpn_loc_unsup: 0.636 time: 6.1116 data_time: 0.8256 lr: 0.016 max_mem: 18367M [10/26 14:48:21] d2.utils.events INFO: eta: 9:15:10 iter: 24719 total_loss: 2.554 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0386 loss_box_reg_sup: 0.3363 loss_rpn_cls_sup: 0.03606 loss_rpn_loc_sup: 0.3218 loss_cls_unsup: 0.2675 loss_box_reg_unsup: 0.5463 loss_rpn_cls_unsup: 0.3398 loss_rpn_loc_unsup: 0.6184 time: 6.1117 data_time: 0.8063 lr: 0.016 max_mem: 18367M [10/26 14:50:26] d2.utils.events INFO: eta: 9:12:40 iter: 24739 total_loss: 2.495 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03688 loss_box_reg_sup: 0.3357 loss_rpn_cls_sup: 0.02993 loss_rpn_loc_sup: 0.3039 loss_cls_unsup: 0.2816 loss_box_reg_unsup: 0.5306 loss_rpn_cls_unsup: 0.3549 loss_rpn_loc_unsup: 0.5966 time: 6.1118 data_time: 0.8635 lr: 0.016 max_mem: 18367M [10/26 14:52:35] d2.utils.events INFO: eta: 9:10:25 iter: 24759 total_loss: 2.576 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03704 loss_box_reg_sup: 0.3331 loss_rpn_cls_sup: 0.03722 loss_rpn_loc_sup: 0.3175 loss_cls_unsup: 0.2555 loss_box_reg_unsup: 0.5633 loss_rpn_cls_unsup: 0.3635 loss_rpn_loc_unsup: 0.6101 time: 6.1121 data_time: 0.8171 lr: 0.016 max_mem: 18367M [10/26 14:54:39] d2.utils.events INFO: eta: 9:07:47 iter: 24779 total_loss: 2.524 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0364 loss_box_reg_sup: 0.3431 loss_rpn_cls_sup: 0.03358 loss_rpn_loc_sup: 0.3105 loss_cls_unsup: 0.2826 loss_box_reg_unsup: 0.5631 loss_rpn_cls_unsup: 0.3585 loss_rpn_loc_unsup: 0.581 time: 6.1121 data_time: 0.7963 lr: 0.016 max_mem: 18367M [10/26 14:56:49] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 14:56:49] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 14:56:49] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 14:56:49] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 14:56:50] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0012 s/iter. Inference: 0.0472 s/iter. Eval: 0.0006 s/iter. Total: 0.0489 s/iter. ETA=0:04:16 [10/26 14:56:55] d2.evaluation.evaluator INFO: Inference done 132/5258. Dataloading: 0.0012 s/iter. Inference: 0.0402 s/iter. Eval: 0.0006 s/iter. Total: 0.0419 s/iter. ETA=0:03:34 [10/26 14:57:00] d2.evaluation.evaluator INFO: Inference done 260/5258. Dataloading: 0.0011 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:03:22 [10/26 14:57:06] d2.evaluation.evaluator INFO: Inference done 384/5258. Dataloading: 0.0011 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:03:17 [10/26 14:57:11] d2.evaluation.evaluator INFO: Inference done 509/5258. Dataloading: 0.0011 s/iter. Inference: 0.0388 s/iter. Eval: 0.0005 s/iter. Total: 0.0404 s/iter. ETA=0:03:12 [10/26 14:57:16] d2.evaluation.evaluator INFO: Inference done 630/5258. Dataloading: 0.0011 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:03:08 [10/26 14:57:21] d2.evaluation.evaluator INFO: Inference done 757/5258. Dataloading: 0.0011 s/iter. Inference: 0.0388 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:03:02 [10/26 14:57:26] d2.evaluation.evaluator INFO: Inference done 879/5258. Dataloading: 0.0011 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:02:57 [10/26 14:57:31] d2.evaluation.evaluator INFO: Inference done 1002/5258. Dataloading: 0.0011 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:02:52 [10/26 14:57:36] d2.evaluation.evaluator INFO: Inference done 1129/5258. Dataloading: 0.0011 s/iter. Inference: 0.0388 s/iter. Eval: 0.0005 s/iter. Total: 0.0404 s/iter. ETA=0:02:46 [10/26 14:57:41] d2.evaluation.evaluator INFO: Inference done 1259/5258. Dataloading: 0.0011 s/iter. Inference: 0.0386 s/iter. Eval: 0.0005 s/iter. Total: 0.0402 s/iter. ETA=0:02:40 [10/26 14:57:46] d2.evaluation.evaluator INFO: Inference done 1386/5258. Dataloading: 0.0011 s/iter. Inference: 0.0385 s/iter. Eval: 0.0005 s/iter. Total: 0.0402 s/iter. ETA=0:02:35 [10/26 14:57:51] d2.evaluation.evaluator INFO: Inference done 1510/5258. Dataloading: 0.0011 s/iter. Inference: 0.0386 s/iter. Eval: 0.0005 s/iter. Total: 0.0402 s/iter. ETA=0:02:30 [10/26 14:57:56] d2.evaluation.evaluator INFO: Inference done 1638/5258. Dataloading: 0.0011 s/iter. Inference: 0.0385 s/iter. Eval: 0.0005 s/iter. Total: 0.0401 s/iter. ETA=0:02:25 [10/26 14:58:01] d2.evaluation.evaluator INFO: Inference done 1761/5258. Dataloading: 0.0011 s/iter. Inference: 0.0385 s/iter. Eval: 0.0005 s/iter. Total: 0.0402 s/iter. ETA=0:02:20 [10/26 14:58:06] d2.evaluation.evaluator INFO: Inference done 1892/5258. Dataloading: 0.0011 s/iter. Inference: 0.0384 s/iter. Eval: 0.0005 s/iter. Total: 0.0401 s/iter. ETA=0:02:14 [10/26 14:58:11] d2.evaluation.evaluator INFO: Inference done 2021/5258. Dataloading: 0.0011 s/iter. Inference: 0.0383 s/iter. Eval: 0.0005 s/iter. Total: 0.0400 s/iter. ETA=0:02:09 [10/26 14:58:16] d2.evaluation.evaluator INFO: Inference done 2143/5258. Dataloading: 0.0011 s/iter. Inference: 0.0384 s/iter. Eval: 0.0005 s/iter. Total: 0.0401 s/iter. ETA=0:02:04 [10/26 14:58:21] d2.evaluation.evaluator INFO: Inference done 2273/5258. Dataloading: 0.0011 s/iter. Inference: 0.0383 s/iter. Eval: 0.0005 s/iter. Total: 0.0400 s/iter. ETA=0:01:59 [10/26 14:58:26] d2.evaluation.evaluator INFO: Inference done 2402/5258. Dataloading: 0.0011 s/iter. Inference: 0.0383 s/iter. Eval: 0.0005 s/iter. Total: 0.0399 s/iter. ETA=0:01:53 [10/26 14:58:31] d2.evaluation.evaluator INFO: Inference done 2528/5258. Dataloading: 0.0011 s/iter. Inference: 0.0383 s/iter. Eval: 0.0005 s/iter. Total: 0.0399 s/iter. ETA=0:01:48 [10/26 14:58:36] d2.evaluation.evaluator INFO: Inference done 2658/5258. Dataloading: 0.0011 s/iter. Inference: 0.0382 s/iter. Eval: 0.0005 s/iter. Total: 0.0399 s/iter. ETA=0:01:43 [10/26 14:58:41] d2.evaluation.evaluator INFO: Inference done 2785/5258. Dataloading: 0.0011 s/iter. Inference: 0.0382 s/iter. Eval: 0.0005 s/iter. Total: 0.0398 s/iter. ETA=0:01:38 [10/26 14:58:46] d2.evaluation.evaluator INFO: Inference done 2915/5258. Dataloading: 0.0011 s/iter. Inference: 0.0382 s/iter. Eval: 0.0005 s/iter. Total: 0.0398 s/iter. ETA=0:01:33 [10/26 14:58:51] d2.evaluation.evaluator INFO: Inference done 3044/5258. Dataloading: 0.0011 s/iter. Inference: 0.0381 s/iter. Eval: 0.0005 s/iter. Total: 0.0397 s/iter. ETA=0:01:27 [10/26 14:58:56] d2.evaluation.evaluator INFO: Inference done 3173/5258. Dataloading: 0.0011 s/iter. Inference: 0.0381 s/iter. Eval: 0.0005 s/iter. Total: 0.0397 s/iter. ETA=0:01:22 [10/26 14:59:01] d2.evaluation.evaluator INFO: Inference done 3302/5258. Dataloading: 0.0011 s/iter. Inference: 0.0381 s/iter. Eval: 0.0005 s/iter. Total: 0.0397 s/iter. ETA=0:01:17 [10/26 14:59:06] d2.evaluation.evaluator INFO: Inference done 3433/5258. Dataloading: 0.0010 s/iter. Inference: 0.0380 s/iter. Eval: 0.0005 s/iter. Total: 0.0396 s/iter. ETA=0:01:12 [10/26 14:59:11] d2.evaluation.evaluator INFO: Inference done 3561/5258. Dataloading: 0.0010 s/iter. Inference: 0.0380 s/iter. Eval: 0.0005 s/iter. Total: 0.0396 s/iter. ETA=0:01:07 [10/26 14:59:16] d2.evaluation.evaluator INFO: Inference done 3688/5258. Dataloading: 0.0010 s/iter. Inference: 0.0380 s/iter. Eval: 0.0005 s/iter. Total: 0.0396 s/iter. ETA=0:01:02 [10/26 14:59:21] d2.evaluation.evaluator INFO: Inference done 3816/5258. Dataloading: 0.0010 s/iter. Inference: 0.0380 s/iter. Eval: 0.0005 s/iter. Total: 0.0396 s/iter. ETA=0:00:57 [10/26 14:59:26] d2.evaluation.evaluator INFO: Inference done 3945/5258. Dataloading: 0.0010 s/iter. Inference: 0.0380 s/iter. Eval: 0.0005 s/iter. Total: 0.0396 s/iter. ETA=0:00:51 [10/26 14:59:31] d2.evaluation.evaluator INFO: Inference done 4071/5258. Dataloading: 0.0010 s/iter. Inference: 0.0380 s/iter. Eval: 0.0005 s/iter. Total: 0.0396 s/iter. ETA=0:00:46 [10/26 14:59:36] d2.evaluation.evaluator INFO: Inference done 4199/5258. Dataloading: 0.0010 s/iter. Inference: 0.0380 s/iter. Eval: 0.0005 s/iter. Total: 0.0396 s/iter. ETA=0:00:41 [10/26 14:59:41] d2.evaluation.evaluator INFO: Inference done 4322/5258. Dataloading: 0.0010 s/iter. Inference: 0.0380 s/iter. Eval: 0.0005 s/iter. Total: 0.0396 s/iter. ETA=0:00:37 [10/26 14:59:46] d2.evaluation.evaluator INFO: Inference done 4448/5258. Dataloading: 0.0010 s/iter. Inference: 0.0380 s/iter. Eval: 0.0005 s/iter. Total: 0.0396 s/iter. ETA=0:00:32 [10/26 14:59:51] d2.evaluation.evaluator INFO: Inference done 4578/5258. Dataloading: 0.0011 s/iter. Inference: 0.0380 s/iter. Eval: 0.0005 s/iter. Total: 0.0396 s/iter. ETA=0:00:26 [10/26 14:59:56] d2.evaluation.evaluator INFO: Inference done 4691/5258. Dataloading: 0.0011 s/iter. Inference: 0.0381 s/iter. Eval: 0.0005 s/iter. Total: 0.0397 s/iter. ETA=0:00:22 [10/26 15:00:01] d2.evaluation.evaluator INFO: Inference done 4819/5258. Dataloading: 0.0011 s/iter. Inference: 0.0381 s/iter. Eval: 0.0005 s/iter. Total: 0.0397 s/iter. ETA=0:00:17 [10/26 15:00:06] d2.evaluation.evaluator INFO: Inference done 4941/5258. Dataloading: 0.0011 s/iter. Inference: 0.0381 s/iter. Eval: 0.0005 s/iter. Total: 0.0397 s/iter. ETA=0:00:12 [10/26 15:00:11] d2.evaluation.evaluator INFO: Inference done 5059/5258. Dataloading: 0.0011 s/iter. Inference: 0.0382 s/iter. Eval: 0.0005 s/iter. Total: 0.0398 s/iter. ETA=0:00:07 [10/26 15:00:16] d2.evaluation.evaluator INFO: Inference done 5180/5258. Dataloading: 0.0011 s/iter. Inference: 0.0382 s/iter. Eval: 0.0005 s/iter. Total: 0.0398 s/iter. ETA=0:00:03 [10/26 15:00:19] d2.evaluation.evaluator INFO: Total inference time: 0:03:29.341157 (0.039852 s / iter per device, on 1 devices) [10/26 15:00:19] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:20 (0.038200 s / iter per device, on 1 devices) [10/26 15:00:19] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 15:01:46] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 15:01:46] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 15:01:46] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 15:01:46] d2.evaluation.testing INFO: copypaste: 5.7116,12.1315,5.0648 [10/26 15:01:47] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 15:01:47] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 15:01:47] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 15:01:47] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 15:01:49] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0012 s/iter. Inference: 0.0496 s/iter. Eval: 0.0005 s/iter. Total: 0.0514 s/iter. ETA=0:04:29 [10/26 15:01:54] d2.evaluation.evaluator INFO: Inference done 111/5258. Dataloading: 0.0011 s/iter. Inference: 0.0488 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:04:19 [10/26 15:01:59] d2.evaluation.evaluator INFO: Inference done 211/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:04:13 [10/26 15:02:04] d2.evaluation.evaluator INFO: Inference done 312/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:04:08 [10/26 15:02:09] d2.evaluation.evaluator INFO: Inference done 415/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:04:01 [10/26 15:02:14] d2.evaluation.evaluator INFO: Inference done 516/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:56 [10/26 15:02:19] d2.evaluation.evaluator INFO: Inference done 618/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:50 [10/26 15:02:24] d2.evaluation.evaluator INFO: Inference done 719/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:45 [10/26 15:02:29] d2.evaluation.evaluator INFO: Inference done 819/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:03:41 [10/26 15:02:34] d2.evaluation.evaluator INFO: Inference done 918/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:36 [10/26 15:02:39] d2.evaluation.evaluator INFO: Inference done 1018/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:32 [10/26 15:02:44] d2.evaluation.evaluator INFO: Inference done 1121/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:03:26 [10/26 15:02:49] d2.evaluation.evaluator INFO: Inference done 1223/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:21 [10/26 15:02:54] d2.evaluation.evaluator INFO: Inference done 1324/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:16 [10/26 15:02:59] d2.evaluation.evaluator INFO: Inference done 1425/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:11 [10/26 15:03:04] d2.evaluation.evaluator INFO: Inference done 1524/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:03:06 [10/26 15:03:09] d2.evaluation.evaluator INFO: Inference done 1626/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:03:01 [10/26 15:03:14] d2.evaluation.evaluator INFO: Inference done 1727/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:02:56 [10/26 15:03:19] d2.evaluation.evaluator INFO: Inference done 1827/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:02:51 [10/26 15:03:24] d2.evaluation.evaluator INFO: Inference done 1929/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:02:45 [10/26 15:03:29] d2.evaluation.evaluator INFO: Inference done 2032/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:40 [10/26 15:03:34] d2.evaluation.evaluator INFO: Inference done 2136/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:02:35 [10/26 15:03:39] d2.evaluation.evaluator INFO: Inference done 2238/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:02:30 [10/26 15:03:44] d2.evaluation.evaluator INFO: Inference done 2337/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:25 [10/26 15:03:49] d2.evaluation.evaluator INFO: Inference done 2437/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:20 [10/26 15:03:54] d2.evaluation.evaluator INFO: Inference done 2536/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:15 [10/26 15:03:59] d2.evaluation.evaluator INFO: Inference done 2637/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:10 [10/26 15:04:04] d2.evaluation.evaluator INFO: Inference done 2737/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:05 [10/26 15:04:09] d2.evaluation.evaluator INFO: Inference done 2838/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:00 [10/26 15:04:14] d2.evaluation.evaluator INFO: Inference done 2939/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:55 [10/26 15:04:20] d2.evaluation.evaluator INFO: Inference done 3038/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:50 [10/26 15:04:25] d2.evaluation.evaluator INFO: Inference done 3138/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:45 [10/26 15:04:30] d2.evaluation.evaluator INFO: Inference done 3238/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:40 [10/26 15:04:35] d2.evaluation.evaluator INFO: Inference done 3341/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:35 [10/26 15:04:40] d2.evaluation.evaluator INFO: Inference done 3442/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:30 [10/26 15:04:45] d2.evaluation.evaluator INFO: Inference done 3544/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:25 [10/26 15:04:50] d2.evaluation.evaluator INFO: Inference done 3645/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:20 [10/26 15:04:55] d2.evaluation.evaluator INFO: Inference done 3747/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:15 [10/26 15:05:00] d2.evaluation.evaluator INFO: Inference done 3849/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:10 [10/26 15:05:05] d2.evaluation.evaluator INFO: Inference done 3952/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:04 [10/26 15:05:10] d2.evaluation.evaluator INFO: Inference done 4054/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:00:59 [10/26 15:05:15] d2.evaluation.evaluator INFO: Inference done 4158/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:54 [10/26 15:05:20] d2.evaluation.evaluator INFO: Inference done 4261/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:49 [10/26 15:05:25] d2.evaluation.evaluator INFO: Inference done 4362/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:44 [10/26 15:05:30] d2.evaluation.evaluator INFO: Inference done 4462/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:39 [10/26 15:05:35] d2.evaluation.evaluator INFO: Inference done 4562/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:34 [10/26 15:05:40] d2.evaluation.evaluator INFO: Inference done 4661/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:00:29 [10/26 15:05:45] d2.evaluation.evaluator INFO: Inference done 4760/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:00:24 [10/26 15:05:50] d2.evaluation.evaluator INFO: Inference done 4859/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:00:19 [10/26 15:05:55] d2.evaluation.evaluator INFO: Inference done 4958/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:00:14 [10/26 15:06:00] d2.evaluation.evaluator INFO: Inference done 5063/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:00:09 [10/26 15:06:05] d2.evaluation.evaluator INFO: Inference done 5164/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:00:04 [10/26 15:06:10] d2.evaluation.evaluator INFO: Total inference time: 0:04:21.461846 (0.049774 s / iter per device, on 1 devices) [10/26 15:06:10] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:13 (0.048171 s / iter per device, on 1 devices) [10/26 15:06:10] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 15:07:16] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 15:07:16] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 15:07:16] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 15:07:16] d2.evaluation.testing INFO: copypaste: 6.1439,12.9936,5.5711 [10/26 15:07:16] d2.utils.events INFO: eta: 9:05:30 iter: 24799 total_loss: 2.525 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03887 loss_box_reg_sup: 0.3467 loss_rpn_cls_sup: 0.03385 loss_rpn_loc_sup: 0.3145 loss_cls_unsup: 0.2866 loss_box_reg_unsup: 0.5708 loss_rpn_cls_unsup: 0.3769 loss_rpn_loc_unsup: 0.5576 time: 6.1122 data_time: 0.8171 lr: 0.016 max_mem: 18367M [10/26 15:09:26] d2.utils.events INFO: eta: 9:03:14 iter: 24819 total_loss: 2.658 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04325 loss_box_reg_sup: 0.3668 loss_rpn_cls_sup: 0.03435 loss_rpn_loc_sup: 0.327 loss_cls_unsup: 0.2843 loss_box_reg_unsup: 0.5584 loss_rpn_cls_unsup: 0.3849 loss_rpn_loc_unsup: 0.6576 time: 6.1125 data_time: 0.7987 lr: 0.016 max_mem: 18367M [10/26 15:11:43] d2.utils.events INFO: eta: 9:01:02 iter: 24839 total_loss: 2.628 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04369 loss_box_reg_sup: 0.3748 loss_rpn_cls_sup: 0.03792 loss_rpn_loc_sup: 0.3281 loss_cls_unsup: 0.2746 loss_box_reg_unsup: 0.5633 loss_rpn_cls_unsup: 0.3498 loss_rpn_loc_unsup: 0.6618 time: 6.1131 data_time: 0.8085 lr: 0.016 max_mem: 18367M [10/26 15:13:57] d2.utils.events INFO: eta: 8:58:54 iter: 24859 total_loss: 2.538 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03723 loss_box_reg_sup: 0.3306 loss_rpn_cls_sup: 0.0336 loss_rpn_loc_sup: 0.3115 loss_cls_unsup: 0.2761 loss_box_reg_unsup: 0.5595 loss_rpn_cls_unsup: 0.3577 loss_rpn_loc_unsup: 0.6133 time: 6.1136 data_time: 0.8143 lr: 0.016 max_mem: 18367M [10/26 15:16:05] d2.utils.events INFO: eta: 8:56:22 iter: 24879 total_loss: 2.607 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03825 loss_box_reg_sup: 0.3439 loss_rpn_cls_sup: 0.03816 loss_rpn_loc_sup: 0.3256 loss_cls_unsup: 0.2612 loss_box_reg_unsup: 0.5547 loss_rpn_cls_unsup: 0.3621 loss_rpn_loc_unsup: 0.7075 time: 6.1138 data_time: 0.8004 lr: 0.016 max_mem: 18367M [10/26 15:18:14] d2.utils.events INFO: eta: 8:54:01 iter: 24899 total_loss: 2.606 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03894 loss_box_reg_sup: 0.3523 loss_rpn_cls_sup: 0.03445 loss_rpn_loc_sup: 0.3 loss_cls_unsup: 0.2938 loss_box_reg_unsup: 0.5518 loss_rpn_cls_unsup: 0.3629 loss_rpn_loc_unsup: 0.6684 time: 6.1141 data_time: 0.8143 lr: 0.016 max_mem: 18367M [10/26 15:20:23] d2.utils.events INFO: eta: 8:51:54 iter: 24919 total_loss: 2.706 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03814 loss_box_reg_sup: 0.3702 loss_rpn_cls_sup: 0.03554 loss_rpn_loc_sup: 0.3165 loss_cls_unsup: 0.2708 loss_box_reg_unsup: 0.5816 loss_rpn_cls_unsup: 0.3583 loss_rpn_loc_unsup: 0.6977 time: 6.1144 data_time: 0.8094 lr: 0.016 max_mem: 18367M [10/26 15:22:33] d2.utils.events INFO: eta: 8:49:47 iter: 24939 total_loss: 2.621 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03772 loss_box_reg_sup: 0.3721 loss_rpn_cls_sup: 0.03553 loss_rpn_loc_sup: 0.3193 loss_cls_unsup: 0.278 loss_box_reg_unsup: 0.5594 loss_rpn_cls_unsup: 0.3745 loss_rpn_loc_unsup: 0.6157 time: 6.1147 data_time: 0.7978 lr: 0.016 max_mem: 18367M [10/26 15:24:37] d2.utils.events INFO: eta: 8:47:36 iter: 24959 total_loss: 2.479 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03703 loss_box_reg_sup: 0.318 loss_rpn_cls_sup: 0.033 loss_rpn_loc_sup: 0.3043 loss_cls_unsup: 0.2804 loss_box_reg_unsup: 0.5533 loss_rpn_cls_unsup: 0.3441 loss_rpn_loc_unsup: 0.6038 time: 6.1148 data_time: 0.7987 lr: 0.016 max_mem: 18367M [10/26 15:26:43] d2.utils.events INFO: eta: 8:45:31 iter: 24979 total_loss: 2.653 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0439 loss_box_reg_sup: 0.3742 loss_rpn_cls_sup: 0.03633 loss_rpn_loc_sup: 0.32 loss_cls_unsup: 0.2723 loss_box_reg_unsup: 0.5638 loss_rpn_cls_unsup: 0.3625 loss_rpn_loc_unsup: 0.6632 time: 6.1149 data_time: 0.8132 lr: 0.016 max_mem: 18367M [10/26 15:28:49] d2.utils.events INFO: eta: 8:43:29 iter: 24999 total_loss: 2.636 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03597 loss_box_reg_sup: 0.3308 loss_rpn_cls_sup: 0.03317 loss_rpn_loc_sup: 0.2912 loss_cls_unsup: 0.2687 loss_box_reg_unsup: 0.5821 loss_rpn_cls_unsup: 0.3782 loss_rpn_loc_unsup: 0.6452 time: 6.1150 data_time: 0.8090 lr: 0.016 max_mem: 18367M [10/26 15:30:55] d2.utils.events INFO: eta: 8:41:18 iter: 25019 total_loss: 2.694 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04104 loss_box_reg_sup: 0.3581 loss_rpn_cls_sup: 0.03282 loss_rpn_loc_sup: 0.2988 loss_cls_unsup: 0.2795 loss_box_reg_unsup: 0.5678 loss_rpn_cls_unsup: 0.3705 loss_rpn_loc_unsup: 0.6759 time: 6.1152 data_time: 0.7886 lr: 0.016 max_mem: 18367M [10/26 15:33:02] d2.utils.events INFO: eta: 8:39:10 iter: 25039 total_loss: 2.667 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04109 loss_box_reg_sup: 0.3885 loss_rpn_cls_sup: 0.03523 loss_rpn_loc_sup: 0.3213 loss_cls_unsup: 0.2884 loss_box_reg_unsup: 0.596 loss_rpn_cls_unsup: 0.3828 loss_rpn_loc_unsup: 0.641 time: 6.1154 data_time: 0.8443 lr: 0.016 max_mem: 18367M [10/26 15:35:09] d2.utils.events INFO: eta: 8:37:07 iter: 25059 total_loss: 2.68 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04305 loss_box_reg_sup: 0.3588 loss_rpn_cls_sup: 0.03746 loss_rpn_loc_sup: 0.3297 loss_cls_unsup: 0.2882 loss_box_reg_unsup: 0.5665 loss_rpn_cls_unsup: 0.3833 loss_rpn_loc_unsup: 0.6464 time: 6.1156 data_time: 0.8354 lr: 0.016 max_mem: 18367M [10/26 15:37:15] d2.utils.events INFO: eta: 8:34:55 iter: 25079 total_loss: 2.668 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03858 loss_box_reg_sup: 0.3565 loss_rpn_cls_sup: 0.03071 loss_rpn_loc_sup: 0.3004 loss_cls_unsup: 0.2828 loss_box_reg_unsup: 0.5625 loss_rpn_cls_unsup: 0.3789 loss_rpn_loc_unsup: 0.6995 time: 6.1157 data_time: 0.8234 lr: 0.016 max_mem: 18367M [10/26 15:39:22] d2.utils.events INFO: eta: 8:32:42 iter: 25099 total_loss: 2.591 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0374 loss_box_reg_sup: 0.3364 loss_rpn_cls_sup: 0.03662 loss_rpn_loc_sup: 0.297 loss_cls_unsup: 0.2854 loss_box_reg_unsup: 0.5737 loss_rpn_cls_unsup: 0.3789 loss_rpn_loc_unsup: 0.6289 time: 6.1159 data_time: 0.8162 lr: 0.016 max_mem: 18367M [10/26 15:41:29] d2.utils.events INFO: eta: 8:30:36 iter: 25119 total_loss: 2.575 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03888 loss_box_reg_sup: 0.3321 loss_rpn_cls_sup: 0.03432 loss_rpn_loc_sup: 0.2989 loss_cls_unsup: 0.2763 loss_box_reg_unsup: 0.5753 loss_rpn_cls_unsup: 0.3747 loss_rpn_loc_unsup: 0.6089 time: 6.1161 data_time: 0.8202 lr: 0.016 max_mem: 18367M [10/26 15:43:36] d2.utils.events INFO: eta: 8:28:30 iter: 25139 total_loss: 2.792 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03944 loss_box_reg_sup: 0.3611 loss_rpn_cls_sup: 0.03564 loss_rpn_loc_sup: 0.3138 loss_cls_unsup: 0.2811 loss_box_reg_unsup: 0.5604 loss_rpn_cls_unsup: 0.3769 loss_rpn_loc_unsup: 0.7136 time: 6.1163 data_time: 0.8158 lr: 0.016 max_mem: 18367M [10/26 15:45:43] d2.utils.events INFO: eta: 8:26:26 iter: 25159 total_loss: 2.618 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03776 loss_box_reg_sup: 0.3675 loss_rpn_cls_sup: 0.03279 loss_rpn_loc_sup: 0.3064 loss_cls_unsup: 0.2756 loss_box_reg_unsup: 0.5643 loss_rpn_cls_unsup: 0.3641 loss_rpn_loc_unsup: 0.6416 time: 6.1164 data_time: 0.8192 lr: 0.016 max_mem: 18367M [10/26 15:47:49] d2.utils.events INFO: eta: 8:24:17 iter: 25179 total_loss: 2.69 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04608 loss_box_reg_sup: 0.3887 loss_rpn_cls_sup: 0.03553 loss_rpn_loc_sup: 0.339 loss_cls_unsup: 0.2851 loss_box_reg_unsup: 0.5825 loss_rpn_cls_unsup: 0.369 loss_rpn_loc_unsup: 0.6223 time: 6.1166 data_time: 0.8175 lr: 0.016 max_mem: 18367M [10/26 15:50:03] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 15:50:03] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 15:50:03] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 15:50:03] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 15:50:04] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0012 s/iter. Inference: 0.0428 s/iter. Eval: 0.0005 s/iter. Total: 0.0445 s/iter. ETA=0:03:53 [10/26 15:50:09] d2.evaluation.evaluator INFO: Inference done 135/5258. Dataloading: 0.0011 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:03:27 [10/26 15:50:14] d2.evaluation.evaluator INFO: Inference done 260/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0005 s/iter. Total: 0.0403 s/iter. ETA=0:03:21 [10/26 15:50:19] d2.evaluation.evaluator INFO: Inference done 379/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:03:19 [10/26 15:50:24] d2.evaluation.evaluator INFO: Inference done 504/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:03:13 [10/26 15:50:29] d2.evaluation.evaluator INFO: Inference done 625/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:03:09 [10/26 15:50:34] d2.evaluation.evaluator INFO: Inference done 737/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:03:07 [10/26 15:50:39] d2.evaluation.evaluator INFO: Inference done 858/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:03:02 [10/26 15:50:44] d2.evaluation.evaluator INFO: Inference done 978/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:02:57 [10/26 15:50:49] d2.evaluation.evaluator INFO: Inference done 1105/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0413 s/iter. ETA=0:02:51 [10/26 15:50:54] d2.evaluation.evaluator INFO: Inference done 1230/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:02:45 [10/26 15:50:59] d2.evaluation.evaluator INFO: Inference done 1356/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:02:40 [10/26 15:51:04] d2.evaluation.evaluator INFO: Inference done 1475/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:02:35 [10/26 15:51:09] d2.evaluation.evaluator INFO: Inference done 1606/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:02:29 [10/26 15:51:14] d2.evaluation.evaluator INFO: Inference done 1728/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:02:24 [10/26 15:51:19] d2.evaluation.evaluator INFO: Inference done 1843/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:02:20 [10/26 15:51:24] d2.evaluation.evaluator INFO: Inference done 1965/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:02:15 [10/26 15:51:29] d2.evaluation.evaluator INFO: Inference done 2092/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:02:09 [10/26 15:51:34] d2.evaluation.evaluator INFO: Inference done 2211/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:02:05 [10/26 15:51:39] d2.evaluation.evaluator INFO: Inference done 2340/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. 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ETA=0:01:33 [10/26 15:52:09] d2.evaluation.evaluator INFO: Inference done 3092/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:01:28 [10/26 15:52:14] d2.evaluation.evaluator INFO: Inference done 3210/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:01:23 [10/26 15:52:19] d2.evaluation.evaluator INFO: Inference done 3335/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:01:18 [10/26 15:52:24] d2.evaluation.evaluator INFO: Inference done 3456/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:01:13 [10/26 15:52:29] d2.evaluation.evaluator INFO: Inference done 3580/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:01:08 [10/26 15:52:34] d2.evaluation.evaluator INFO: Inference done 3701/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:01:03 [10/26 15:52:39] d2.evaluation.evaluator INFO: Inference done 3824/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:00:58 [10/26 15:52:44] d2.evaluation.evaluator INFO: Inference done 3942/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:00:53 [10/26 15:52:49] d2.evaluation.evaluator INFO: Inference done 4056/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:00:49 [10/26 15:52:55] d2.evaluation.evaluator INFO: Inference done 4181/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:00:44 [10/26 15:53:00] d2.evaluation.evaluator INFO: Inference done 4305/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. 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ETA=0:00:14 [10/26 15:53:30] d2.evaluation.evaluator INFO: Inference done 5031/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:00:09 [10/26 15:53:35] d2.evaluation.evaluator INFO: Inference done 5156/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:00:04 [10/26 15:53:39] d2.evaluation.evaluator INFO: Total inference time: 0:03:35.146961 (0.040957 s / iter per device, on 1 devices) [10/26 15:53:39] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:26 (0.039398 s / iter per device, on 1 devices) [10/26 15:53:39] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 15:54:53] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 15:54:53] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 15:54:53] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 15:54:53] d2.evaluation.testing INFO: copypaste: 5.7476,12.6972,4.8618 [10/26 15:54:55] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 15:54:55] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 15:54:55] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 15:54:55] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 15:54:56] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0497 s/iter. Eval: 0.0006 s/iter. Total: 0.0513 s/iter. ETA=0:04:29 [10/26 15:55:01] d2.evaluation.evaluator INFO: Inference done 113/5258. Dataloading: 0.0011 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:04:13 [10/26 15:55:06] d2.evaluation.evaluator INFO: Inference done 214/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:04:09 [10/26 15:55:11] d2.evaluation.evaluator INFO: Inference done 316/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:04:04 [10/26 15:55:16] d2.evaluation.evaluator INFO: Inference done 418/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:59 [10/26 15:55:21] d2.evaluation.evaluator INFO: Inference done 522/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:03:53 [10/26 15:55:26] d2.evaluation.evaluator INFO: Inference done 623/5258. 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Total: 0.0494 s/iter. ETA=0:03:24 [10/26 15:55:56] d2.evaluation.evaluator INFO: Inference done 1231/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:18 [10/26 15:56:01] d2.evaluation.evaluator INFO: Inference done 1332/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:14 [10/26 15:56:06] d2.evaluation.evaluator INFO: Inference done 1432/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:09 [10/26 15:56:11] d2.evaluation.evaluator INFO: Inference done 1536/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:03 [10/26 15:56:17] d2.evaluation.evaluator INFO: Inference done 1640/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. 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ETA=0:00:17 [10/26 15:59:02] d2.evaluation.evaluator INFO: Inference done 4998/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:12 [10/26 15:59:07] d2.evaluation.evaluator INFO: Inference done 5100/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:07 [10/26 15:59:12] d2.evaluation.evaluator INFO: Inference done 5201/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:02 [10/26 15:59:15] d2.evaluation.evaluator INFO: Total inference time: 0:04:19.434022 (0.049388 s / iter per device, on 1 devices) [10/26 15:59:15] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:11 (0.047849 s / iter per device, on 1 devices) [10/26 15:59:15] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 16:00:23] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 16:00:23] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 16:00:23] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 16:00:23] d2.evaluation.testing INFO: copypaste: 6.1539,13.0177,5.5964 [10/26 16:00:23] d2.utils.events INFO: eta: 8:22:08 iter: 25199 total_loss: 2.728 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03629 loss_box_reg_sup: 0.3374 loss_rpn_cls_sup: 0.03419 loss_rpn_loc_sup: 0.3297 loss_cls_unsup: 0.2794 loss_box_reg_unsup: 0.589 loss_rpn_cls_unsup: 0.3833 loss_rpn_loc_unsup: 0.7183 time: 6.1168 data_time: 0.8166 lr: 0.016 max_mem: 18367M [10/26 16:02:34] d2.utils.events INFO: eta: 8:19:45 iter: 25219 total_loss: 2.751 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04327 loss_box_reg_sup: 0.36 loss_rpn_cls_sup: 0.0364 loss_rpn_loc_sup: 0.311 loss_cls_unsup: 0.2923 loss_box_reg_unsup: 0.5728 loss_rpn_cls_unsup: 0.3837 loss_rpn_loc_unsup: 0.7486 time: 6.1171 data_time: 0.8115 lr: 0.016 max_mem: 18367M [10/26 16:04:41] d2.utils.events INFO: eta: 8:17:52 iter: 25239 total_loss: 2.583 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04155 loss_box_reg_sup: 0.3466 loss_rpn_cls_sup: 0.03329 loss_rpn_loc_sup: 0.309 loss_cls_unsup: 0.2802 loss_box_reg_unsup: 0.5453 loss_rpn_cls_unsup: 0.3698 loss_rpn_loc_unsup: 0.6377 time: 6.1173 data_time: 0.8418 lr: 0.016 max_mem: 18367M [10/26 16:06:47] d2.utils.events INFO: eta: 8:15:34 iter: 25259 total_loss: 2.547 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03902 loss_box_reg_sup: 0.377 loss_rpn_cls_sup: 0.03651 loss_rpn_loc_sup: 0.312 loss_cls_unsup: 0.2778 loss_box_reg_unsup: 0.5577 loss_rpn_cls_unsup: 0.3766 loss_rpn_loc_unsup: 0.5917 time: 6.1175 data_time: 0.8205 lr: 0.016 max_mem: 18367M [10/26 16:08:54] d2.utils.events INFO: eta: 8:13:31 iter: 25279 total_loss: 2.54 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03787 loss_box_reg_sup: 0.3347 loss_rpn_cls_sup: 0.03735 loss_rpn_loc_sup: 0.2999 loss_cls_unsup: 0.2752 loss_box_reg_unsup: 0.5773 loss_rpn_cls_unsup: 0.3589 loss_rpn_loc_unsup: 0.6307 time: 6.1176 data_time: 0.8192 lr: 0.016 max_mem: 18367M [10/26 16:11:03] d2.utils.events INFO: eta: 8:11:12 iter: 25299 total_loss: 2.657 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03937 loss_box_reg_sup: 0.3556 loss_rpn_cls_sup: 0.03111 loss_rpn_loc_sup: 0.3041 loss_cls_unsup: 0.2838 loss_box_reg_unsup: 0.5751 loss_rpn_cls_unsup: 0.3766 loss_rpn_loc_unsup: 0.6445 time: 6.1179 data_time: 0.8090 lr: 0.016 max_mem: 18367M [10/26 16:13:09] d2.utils.events INFO: eta: 8:09:08 iter: 25319 total_loss: 2.612 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03637 loss_box_reg_sup: 0.3377 loss_rpn_cls_sup: 0.03185 loss_rpn_loc_sup: 0.3077 loss_cls_unsup: 0.2841 loss_box_reg_unsup: 0.5822 loss_rpn_cls_unsup: 0.3931 loss_rpn_loc_unsup: 0.6315 time: 6.1181 data_time: 0.8422 lr: 0.016 max_mem: 18367M [10/26 16:15:17] d2.utils.events INFO: eta: 8:07:01 iter: 25339 total_loss: 2.599 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0375 loss_box_reg_sup: 0.3741 loss_rpn_cls_sup: 0.03401 loss_rpn_loc_sup: 0.3127 loss_cls_unsup: 0.282 loss_box_reg_unsup: 0.5662 loss_rpn_cls_unsup: 0.3759 loss_rpn_loc_unsup: 0.5823 time: 6.1183 data_time: 0.8000 lr: 0.016 max_mem: 18367M [10/26 16:17:23] d2.utils.events INFO: eta: 8:04:53 iter: 25359 total_loss: 2.585 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03924 loss_box_reg_sup: 0.3452 loss_rpn_cls_sup: 0.03578 loss_rpn_loc_sup: 0.3139 loss_cls_unsup: 0.2836 loss_box_reg_unsup: 0.5459 loss_rpn_cls_unsup: 0.3816 loss_rpn_loc_unsup: 0.603 time: 6.1184 data_time: 0.8291 lr: 0.016 max_mem: 18367M [10/26 16:19:29] d2.utils.events INFO: eta: 8:02:47 iter: 25379 total_loss: 2.614 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04035 loss_box_reg_sup: 0.3298 loss_rpn_cls_sup: 0.03818 loss_rpn_loc_sup: 0.318 loss_cls_unsup: 0.2815 loss_box_reg_unsup: 0.5696 loss_rpn_cls_unsup: 0.3563 loss_rpn_loc_unsup: 0.5866 time: 6.1185 data_time: 0.8000 lr: 0.016 max_mem: 18367M [10/26 16:21:34] d2.utils.events INFO: eta: 8:00:41 iter: 25399 total_loss: 2.58 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03885 loss_box_reg_sup: 0.38 loss_rpn_cls_sup: 0.03298 loss_rpn_loc_sup: 0.3087 loss_cls_unsup: 0.2719 loss_box_reg_unsup: 0.5789 loss_rpn_cls_unsup: 0.361 loss_rpn_loc_unsup: 0.6079 time: 6.1186 data_time: 0.8465 lr: 0.016 max_mem: 18367M [10/26 16:23:47] d2.utils.events INFO: eta: 7:58:39 iter: 25419 total_loss: 2.583 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03919 loss_box_reg_sup: 0.3474 loss_rpn_cls_sup: 0.03191 loss_rpn_loc_sup: 0.3023 loss_cls_unsup: 0.2614 loss_box_reg_unsup: 0.5586 loss_rpn_cls_unsup: 0.3699 loss_rpn_loc_unsup: 0.7051 time: 6.1191 data_time: 0.8263 lr: 0.016 max_mem: 18367M [10/26 16:25:55] d2.utils.events INFO: eta: 7:56:28 iter: 25439 total_loss: 2.56 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.042 loss_box_reg_sup: 0.3512 loss_rpn_cls_sup: 0.03455 loss_rpn_loc_sup: 0.3067 loss_cls_unsup: 0.2697 loss_box_reg_unsup: 0.5858 loss_rpn_cls_unsup: 0.3865 loss_rpn_loc_unsup: 0.6221 time: 6.1193 data_time: 0.8351 lr: 0.016 max_mem: 18367M [10/26 16:28:02] d2.utils.events INFO: eta: 7:54:11 iter: 25459 total_loss: 2.628 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04255 loss_box_reg_sup: 0.3832 loss_rpn_cls_sup: 0.03402 loss_rpn_loc_sup: 0.3206 loss_cls_unsup: 0.2682 loss_box_reg_unsup: 0.5738 loss_rpn_cls_unsup: 0.3778 loss_rpn_loc_unsup: 0.614 time: 6.1195 data_time: 0.8249 lr: 0.016 max_mem: 18367M [10/26 16:30:10] d2.utils.events INFO: eta: 7:52:07 iter: 25479 total_loss: 2.584 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03979 loss_box_reg_sup: 0.351 loss_rpn_cls_sup: 0.03556 loss_rpn_loc_sup: 0.3034 loss_cls_unsup: 0.2771 loss_box_reg_unsup: 0.5627 loss_rpn_cls_unsup: 0.389 loss_rpn_loc_unsup: 0.6515 time: 6.1197 data_time: 0.8079 lr: 0.016 max_mem: 18367M [10/26 16:32:17] d2.utils.events INFO: eta: 7:50:15 iter: 25499 total_loss: 2.639 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03921 loss_box_reg_sup: 0.3614 loss_rpn_cls_sup: 0.03731 loss_rpn_loc_sup: 0.332 loss_cls_unsup: 0.2659 loss_box_reg_unsup: 0.5572 loss_rpn_cls_unsup: 0.3846 loss_rpn_loc_unsup: 0.6208 time: 6.1199 data_time: 0.8281 lr: 0.016 max_mem: 18367M [10/26 16:34:27] d2.utils.events INFO: eta: 7:48:04 iter: 25519 total_loss: 2.591 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03933 loss_box_reg_sup: 0.3699 loss_rpn_cls_sup: 0.0352 loss_rpn_loc_sup: 0.3038 loss_cls_unsup: 0.2841 loss_box_reg_unsup: 0.5405 loss_rpn_cls_unsup: 0.3939 loss_rpn_loc_unsup: 0.6565 time: 6.1202 data_time: 0.8504 lr: 0.016 max_mem: 18367M [10/26 16:36:36] d2.utils.events INFO: eta: 7:45:46 iter: 25539 total_loss: 2.723 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04027 loss_box_reg_sup: 0.3695 loss_rpn_cls_sup: 0.03871 loss_rpn_loc_sup: 0.3343 loss_cls_unsup: 0.2929 loss_box_reg_unsup: 0.5604 loss_rpn_cls_unsup: 0.379 loss_rpn_loc_unsup: 0.6724 time: 6.1204 data_time: 0.8285 lr: 0.016 max_mem: 18367M [10/26 16:38:47] d2.utils.events INFO: eta: 7:43:37 iter: 25559 total_loss: 2.563 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03718 loss_box_reg_sup: 0.331 loss_rpn_cls_sup: 0.0341 loss_rpn_loc_sup: 0.3142 loss_cls_unsup: 0.2636 loss_box_reg_unsup: 0.5885 loss_rpn_cls_unsup: 0.3646 loss_rpn_loc_unsup: 0.6591 time: 6.1207 data_time: 0.8049 lr: 0.016 max_mem: 18367M [10/26 16:40:53] d2.utils.events INFO: eta: 7:41:35 iter: 25579 total_loss: 2.766 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0386 loss_box_reg_sup: 0.3384 loss_rpn_cls_sup: 0.03387 loss_rpn_loc_sup: 0.3041 loss_cls_unsup: 0.2658 loss_box_reg_unsup: 0.5813 loss_rpn_cls_unsup: 0.3812 loss_rpn_loc_unsup: 0.6699 time: 6.1209 data_time: 0.8094 lr: 0.016 max_mem: 18367M [10/26 16:43:07] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 16:43:07] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 16:43:07] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 16:43:07] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 16:43:08] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0369 s/iter. Eval: 0.0006 s/iter. Total: 0.0385 s/iter. ETA=0:03:21 [10/26 16:43:13] d2.evaluation.evaluator INFO: Inference done 135/5258. Dataloading: 0.0012 s/iter. Inference: 0.0387 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:03:27 [10/26 16:43:18] d2.evaluation.evaluator INFO: Inference done 261/5258. Dataloading: 0.0011 s/iter. Inference: 0.0385 s/iter. Eval: 0.0005 s/iter. Total: 0.0401 s/iter. ETA=0:03:20 [10/26 16:43:23] d2.evaluation.evaluator INFO: Inference done 389/5258. Dataloading: 0.0010 s/iter. 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ETA=0:00:14 [10/26 16:46:34] d2.evaluation.evaluator INFO: Inference done 5013/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:00:10 [10/26 16:46:39] d2.evaluation.evaluator INFO: Inference done 5141/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:00:04 [10/26 16:46:44] d2.evaluation.evaluator INFO: Total inference time: 0:03:36.115977 (0.041141 s / iter per device, on 1 devices) [10/26 16:46:44] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:27 (0.039520 s / iter per device, on 1 devices) [10/26 16:46:44] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 16:48:07] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 16:48:07] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 16:48:07] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 16:48:07] d2.evaluation.testing INFO: copypaste: 5.6442,12.3306,4.9322 [10/26 16:48:09] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 16:48:09] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 16:48:09] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 16:48:09] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 16:48:10] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0006 s/iter. Total: 0.0494 s/iter. ETA=0:04:19 [10/26 16:48:15] d2.evaluation.evaluator INFO: Inference done 110/5258. Dataloading: 0.0011 s/iter. Inference: 0.0492 s/iter. Eval: 0.0005 s/iter. Total: 0.0508 s/iter. ETA=0:04:21 [10/26 16:48:20] d2.evaluation.evaluator INFO: Inference done 210/5258. Dataloading: 0.0010 s/iter. Inference: 0.0490 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:04:15 [10/26 16:48:25] d2.evaluation.evaluator INFO: Inference done 312/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:04:07 [10/26 16:48:30] d2.evaluation.evaluator INFO: Inference done 411/5258. Dataloading: 0.0010 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:04:03 [10/26 16:48:35] d2.evaluation.evaluator INFO: Inference done 513/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:57 [10/26 16:48:40] d2.evaluation.evaluator INFO: Inference done 613/5258. 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ETA=0:00:18 [10/26 16:52:16] d2.evaluation.evaluator INFO: Inference done 4984/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:13 [10/26 16:52:21] d2.evaluation.evaluator INFO: Inference done 5085/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:08 [10/26 16:52:26] d2.evaluation.evaluator INFO: Inference done 5187/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:03 [10/26 16:52:30] d2.evaluation.evaluator INFO: Total inference time: 0:04:20.058726 (0.049507 s / iter per device, on 1 devices) [10/26 16:52:30] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:12 (0.047981 s / iter per device, on 1 devices) [10/26 16:52:30] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 16:53:39] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 16:53:39] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 16:53:39] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 16:53:39] d2.evaluation.testing INFO: copypaste: 6.1380,12.9860,5.5571 [10/26 16:53:39] d2.utils.events INFO: eta: 7:39:30 iter: 25599 total_loss: 2.636 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03986 loss_box_reg_sup: 0.3388 loss_rpn_cls_sup: 0.03322 loss_rpn_loc_sup: 0.2924 loss_cls_unsup: 0.2857 loss_box_reg_unsup: 0.5504 loss_rpn_cls_unsup: 0.379 loss_rpn_loc_unsup: 0.6981 time: 6.1211 data_time: 0.8414 lr: 0.016 max_mem: 18367M [10/26 16:55:47] d2.utils.events INFO: eta: 7:37:34 iter: 25619 total_loss: 2.598 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03865 loss_box_reg_sup: 0.3632 loss_rpn_cls_sup: 0.0313 loss_rpn_loc_sup: 0.3065 loss_cls_unsup: 0.2832 loss_box_reg_unsup: 0.5671 loss_rpn_cls_unsup: 0.3885 loss_rpn_loc_unsup: 0.654 time: 6.1213 data_time: 0.8319 lr: 0.016 max_mem: 18367M [10/26 16:58:00] d2.utils.events INFO: eta: 7:35:39 iter: 25639 total_loss: 2.714 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04146 loss_box_reg_sup: 0.3976 loss_rpn_cls_sup: 0.03897 loss_rpn_loc_sup: 0.3118 loss_cls_unsup: 0.2864 loss_box_reg_unsup: 0.5424 loss_rpn_cls_unsup: 0.3744 loss_rpn_loc_unsup: 0.6677 time: 6.1217 data_time: 0.8251 lr: 0.016 max_mem: 18367M [10/26 17:00:11] d2.utils.events INFO: eta: 7:33:49 iter: 25659 total_loss: 2.569 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03773 loss_box_reg_sup: 0.3424 loss_rpn_cls_sup: 0.0352 loss_rpn_loc_sup: 0.3137 loss_cls_unsup: 0.2779 loss_box_reg_unsup: 0.5408 loss_rpn_cls_unsup: 0.386 loss_rpn_loc_unsup: 0.6077 time: 6.1220 data_time: 0.8514 lr: 0.016 max_mem: 18367M [10/26 17:02:17] d2.utils.events INFO: eta: 7:31:56 iter: 25679 total_loss: 2.611 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03664 loss_box_reg_sup: 0.3324 loss_rpn_cls_sup: 0.02975 loss_rpn_loc_sup: 0.287 loss_cls_unsup: 0.279 loss_box_reg_unsup: 0.5855 loss_rpn_cls_unsup: 0.3658 loss_rpn_loc_unsup: 0.7151 time: 6.1222 data_time: 0.8500 lr: 0.016 max_mem: 18367M [10/26 17:04:28] d2.utils.events INFO: eta: 7:30:00 iter: 25699 total_loss: 2.636 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03879 loss_box_reg_sup: 0.3531 loss_rpn_cls_sup: 0.034 loss_rpn_loc_sup: 0.307 loss_cls_unsup: 0.2633 loss_box_reg_unsup: 0.5622 loss_rpn_cls_unsup: 0.3533 loss_rpn_loc_unsup: 0.609 time: 6.1225 data_time: 0.8920 lr: 0.016 max_mem: 18367M [10/26 17:06:38] d2.utils.events INFO: eta: 7:28:10 iter: 25719 total_loss: 2.593 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04114 loss_box_reg_sup: 0.3438 loss_rpn_cls_sup: 0.03575 loss_rpn_loc_sup: 0.3123 loss_cls_unsup: 0.2892 loss_box_reg_unsup: 0.5385 loss_rpn_cls_unsup: 0.375 loss_rpn_loc_unsup: 0.6584 time: 6.1228 data_time: 0.8282 lr: 0.016 max_mem: 18367M [10/26 17:08:48] d2.utils.events INFO: eta: 7:26:14 iter: 25739 total_loss: 2.673 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03947 loss_box_reg_sup: 0.3452 loss_rpn_cls_sup: 0.03897 loss_rpn_loc_sup: 0.2946 loss_cls_unsup: 0.2728 loss_box_reg_unsup: 0.5672 loss_rpn_cls_unsup: 0.395 loss_rpn_loc_unsup: 0.702 time: 6.1231 data_time: 0.8247 lr: 0.016 max_mem: 18367M [10/26 17:10:58] d2.utils.events INFO: eta: 7:24:20 iter: 25759 total_loss: 2.595 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04064 loss_box_reg_sup: 0.3593 loss_rpn_cls_sup: 0.03795 loss_rpn_loc_sup: 0.3141 loss_cls_unsup: 0.2792 loss_box_reg_unsup: 0.5582 loss_rpn_cls_unsup: 0.3747 loss_rpn_loc_unsup: 0.6295 time: 6.1234 data_time: 0.8408 lr: 0.016 max_mem: 18367M [10/26 17:13:07] d2.utils.events INFO: eta: 7:22:30 iter: 25779 total_loss: 2.595 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04189 loss_box_reg_sup: 0.3463 loss_rpn_cls_sup: 0.03941 loss_rpn_loc_sup: 0.3009 loss_cls_unsup: 0.2884 loss_box_reg_unsup: 0.5506 loss_rpn_cls_unsup: 0.3934 loss_rpn_loc_unsup: 0.64 time: 6.1236 data_time: 0.8225 lr: 0.016 max_mem: 18367M [10/26 17:15:17] d2.utils.events INFO: eta: 7:20:39 iter: 25799 total_loss: 2.591 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03704 loss_box_reg_sup: 0.3491 loss_rpn_cls_sup: 0.03371 loss_rpn_loc_sup: 0.3087 loss_cls_unsup: 0.2622 loss_box_reg_unsup: 0.5714 loss_rpn_cls_unsup: 0.3606 loss_rpn_loc_unsup: 0.6604 time: 6.1239 data_time: 0.7985 lr: 0.016 max_mem: 18367M [10/26 17:17:30] d2.utils.events INFO: eta: 7:18:58 iter: 25819 total_loss: 2.601 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04163 loss_box_reg_sup: 0.346 loss_rpn_cls_sup: 0.03709 loss_rpn_loc_sup: 0.3088 loss_cls_unsup: 0.2746 loss_box_reg_unsup: 0.5625 loss_rpn_cls_unsup: 0.3683 loss_rpn_loc_unsup: 0.6389 time: 6.1243 data_time: 0.8352 lr: 0.016 max_mem: 18367M [10/26 17:19:41] d2.utils.events INFO: eta: 7:16:58 iter: 25839 total_loss: 2.686 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04258 loss_box_reg_sup: 0.3527 loss_rpn_cls_sup: 0.03463 loss_rpn_loc_sup: 0.3048 loss_cls_unsup: 0.2795 loss_box_reg_unsup: 0.5889 loss_rpn_cls_unsup: 0.3656 loss_rpn_loc_unsup: 0.6634 time: 6.1247 data_time: 0.8329 lr: 0.016 max_mem: 18367M [10/26 17:21:50] d2.utils.events INFO: eta: 7:15:10 iter: 25859 total_loss: 2.588 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03617 loss_box_reg_sup: 0.3466 loss_rpn_cls_sup: 0.03472 loss_rpn_loc_sup: 0.309 loss_cls_unsup: 0.2815 loss_box_reg_unsup: 0.577 loss_rpn_cls_unsup: 0.3815 loss_rpn_loc_unsup: 0.6103 time: 6.1249 data_time: 0.8565 lr: 0.016 max_mem: 18367M [10/26 17:24:02] d2.utils.events INFO: eta: 7:13:17 iter: 25879 total_loss: 2.61 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03761 loss_box_reg_sup: 0.3325 loss_rpn_cls_sup: 0.03471 loss_rpn_loc_sup: 0.3043 loss_cls_unsup: 0.2719 loss_box_reg_unsup: 0.5644 loss_rpn_cls_unsup: 0.3808 loss_rpn_loc_unsup: 0.6296 time: 6.1253 data_time: 0.8296 lr: 0.016 max_mem: 18367M [10/26 17:26:08] d2.utils.events INFO: eta: 7:11:10 iter: 25899 total_loss: 2.661 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03716 loss_box_reg_sup: 0.3785 loss_rpn_cls_sup: 0.03167 loss_rpn_loc_sup: 0.2912 loss_cls_unsup: 0.282 loss_box_reg_unsup: 0.5563 loss_rpn_cls_unsup: 0.3869 loss_rpn_loc_unsup: 0.6847 time: 6.1254 data_time: 0.8124 lr: 0.016 max_mem: 18367M [10/26 17:28:13] d2.utils.events INFO: eta: 7:08:52 iter: 25919 total_loss: 2.545 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03614 loss_box_reg_sup: 0.3388 loss_rpn_cls_sup: 0.03142 loss_rpn_loc_sup: 0.2966 loss_cls_unsup: 0.2806 loss_box_reg_unsup: 0.5499 loss_rpn_cls_unsup: 0.3694 loss_rpn_loc_unsup: 0.6662 time: 6.1255 data_time: 0.8157 lr: 0.016 max_mem: 18367M [10/26 17:30:20] d2.utils.events INFO: eta: 7:06:58 iter: 25939 total_loss: 2.721 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04019 loss_box_reg_sup: 0.3495 loss_rpn_cls_sup: 0.03633 loss_rpn_loc_sup: 0.3267 loss_cls_unsup: 0.2921 loss_box_reg_unsup: 0.5784 loss_rpn_cls_unsup: 0.3861 loss_rpn_loc_unsup: 0.6624 time: 6.1257 data_time: 0.8256 lr: 0.016 max_mem: 18367M [10/26 17:32:30] d2.utils.events INFO: eta: 7:05:03 iter: 25959 total_loss: 2.634 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0416 loss_box_reg_sup: 0.3337 loss_rpn_cls_sup: 0.03176 loss_rpn_loc_sup: 0.3196 loss_cls_unsup: 0.2864 loss_box_reg_unsup: 0.5934 loss_rpn_cls_unsup: 0.3787 loss_rpn_loc_unsup: 0.6662 time: 6.1260 data_time: 0.8387 lr: 0.016 max_mem: 18367M [10/26 17:34:44] d2.utils.events INFO: eta: 7:02:58 iter: 25979 total_loss: 2.717 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03969 loss_box_reg_sup: 0.3821 loss_rpn_cls_sup: 0.03454 loss_rpn_loc_sup: 0.3303 loss_cls_unsup: 0.2867 loss_box_reg_unsup: 0.5591 loss_rpn_cls_unsup: 0.3696 loss_rpn_loc_unsup: 0.6783 time: 6.1264 data_time: 0.8412 lr: 0.016 max_mem: 18367M [10/26 17:36:56] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 17:36:56] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 17:36:56] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 17:36:56] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 17:36:58] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0359 s/iter. Eval: 0.0005 s/iter. Total: 0.0373 s/iter. ETA=0:03:15 [10/26 17:37:03] d2.evaluation.evaluator INFO: Inference done 136/5258. Dataloading: 0.0011 s/iter. Inference: 0.0384 s/iter. Eval: 0.0005 s/iter. Total: 0.0400 s/iter. ETA=0:03:24 [10/26 17:37:08] d2.evaluation.evaluator INFO: Inference done 262/5258. Dataloading: 0.0011 s/iter. Inference: 0.0383 s/iter. Eval: 0.0005 s/iter. Total: 0.0399 s/iter. ETA=0:03:19 [10/26 17:37:13] d2.evaluation.evaluator INFO: Inference done 389/5258. Dataloading: 0.0010 s/iter. Inference: 0.0383 s/iter. Eval: 0.0005 s/iter. Total: 0.0399 s/iter. ETA=0:03:14 [10/26 17:37:18] d2.evaluation.evaluator INFO: Inference done 514/5258. Dataloading: 0.0010 s/iter. Inference: 0.0383 s/iter. Eval: 0.0005 s/iter. Total: 0.0399 s/iter. ETA=0:03:09 [10/26 17:37:23] d2.evaluation.evaluator INFO: Inference done 638/5258. Dataloading: 0.0010 s/iter. Inference: 0.0384 s/iter. Eval: 0.0005 s/iter. Total: 0.0400 s/iter. ETA=0:03:04 [10/26 17:37:28] d2.evaluation.evaluator INFO: Inference done 765/5258. Dataloading: 0.0010 s/iter. Inference: 0.0384 s/iter. Eval: 0.0005 s/iter. Total: 0.0400 s/iter. ETA=0:02:59 [10/26 17:37:33] d2.evaluation.evaluator INFO: Inference done 888/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0005 s/iter. Total: 0.0401 s/iter. ETA=0:02:55 [10/26 17:37:38] d2.evaluation.evaluator INFO: Inference done 1012/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0005 s/iter. Total: 0.0401 s/iter. ETA=0:02:50 [10/26 17:37:43] d2.evaluation.evaluator INFO: Inference done 1133/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0005 s/iter. Total: 0.0403 s/iter. ETA=0:02:46 [10/26 17:37:48] d2.evaluation.evaluator INFO: Inference done 1257/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0005 s/iter. Total: 0.0403 s/iter. ETA=0:02:41 [10/26 17:37:53] d2.evaluation.evaluator INFO: Inference done 1382/5258. Dataloading: 0.0010 s/iter. Inference: 0.0387 s/iter. Eval: 0.0005 s/iter. Total: 0.0403 s/iter. ETA=0:02:36 [10/26 17:37:58] d2.evaluation.evaluator INFO: Inference done 1498/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:02:32 [10/26 17:38:03] d2.evaluation.evaluator INFO: Inference done 1623/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:02:27 [10/26 17:38:08] d2.evaluation.evaluator INFO: Inference done 1748/5258. 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ETA=0:01:33 [10/26 17:39:03] d2.evaluation.evaluator INFO: Inference done 3087/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:01:28 [10/26 17:39:08] d2.evaluation.evaluator INFO: Inference done 3208/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:01:23 [10/26 17:39:13] d2.evaluation.evaluator INFO: Inference done 3337/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:01:18 [10/26 17:39:18] d2.evaluation.evaluator INFO: Inference done 3459/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:01:13 [10/26 17:39:23] d2.evaluation.evaluator INFO: Inference done 3580/5258. Dataloading: 0.0011 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:01:08 [10/26 17:39:28] d2.evaluation.evaluator INFO: Inference done 3705/5258. Dataloading: 0.0011 s/iter. Inference: 0.0391 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:01:03 [10/26 17:39:33] d2.evaluation.evaluator INFO: Inference done 3830/5258. Dataloading: 0.0011 s/iter. Inference: 0.0391 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:00:58 [10/26 17:39:38] d2.evaluation.evaluator INFO: Inference done 3949/5258. Dataloading: 0.0011 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:00:53 [10/26 17:39:43] d2.evaluation.evaluator INFO: Inference done 4072/5258. Dataloading: 0.0011 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:00:48 [10/26 17:39:48] d2.evaluation.evaluator INFO: Inference done 4195/5258. Dataloading: 0.0011 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:00:43 [10/26 17:39:53] d2.evaluation.evaluator INFO: Inference done 4316/5258. Dataloading: 0.0011 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:00:38 [10/26 17:39:58] d2.evaluation.evaluator INFO: Inference done 4436/5258. Dataloading: 0.0011 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:00:33 [10/26 17:40:03] d2.evaluation.evaluator INFO: Inference done 4562/5258. Dataloading: 0.0011 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:00:28 [10/26 17:40:08] d2.evaluation.evaluator INFO: Inference done 4687/5258. Dataloading: 0.0011 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:00:23 [10/26 17:40:13] d2.evaluation.evaluator INFO: Inference done 4804/5258. Dataloading: 0.0011 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:00:18 [10/26 17:40:19] d2.evaluation.evaluator INFO: Inference done 4928/5258. Dataloading: 0.0011 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:00:13 [10/26 17:40:24] d2.evaluation.evaluator INFO: Inference done 5048/5258. Dataloading: 0.0011 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:00:08 [10/26 17:40:29] d2.evaluation.evaluator INFO: Inference done 5172/5258. Dataloading: 0.0011 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:00:03 [10/26 17:40:32] d2.evaluation.evaluator INFO: Total inference time: 0:03:34.606340 (0.040854 s / iter per device, on 1 devices) [10/26 17:40:32] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:26 (0.039222 s / iter per device, on 1 devices) [10/26 17:40:32] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 17:41:54] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 17:41:54] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 17:41:54] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 17:41:54] d2.evaluation.testing INFO: copypaste: 5.5843,11.9576,4.9243 [10/26 17:41:55] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 17:41:56] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 17:41:56] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 17:41:56] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 17:41:57] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0506 s/iter. Eval: 0.0005 s/iter. Total: 0.0520 s/iter. ETA=0:04:32 [10/26 17:42:02] d2.evaluation.evaluator INFO: Inference done 114/5258. Dataloading: 0.0009 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0490 s/iter. ETA=0:04:12 [10/26 17:42:07] d2.evaluation.evaluator INFO: Inference done 215/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:04:08 [10/26 17:42:12] d2.evaluation.evaluator INFO: Inference done 317/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:04:03 [10/26 17:42:17] d2.evaluation.evaluator INFO: Inference done 418/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:58 [10/26 17:42:22] d2.evaluation.evaluator INFO: Inference done 521/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:03:53 [10/26 17:42:27] d2.evaluation.evaluator INFO: Inference done 623/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:03:48 [10/26 17:42:32] d2.evaluation.evaluator INFO: Inference done 725/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:03:43 [10/26 17:42:37] d2.evaluation.evaluator INFO: Inference done 828/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:03:37 [10/26 17:42:42] d2.evaluation.evaluator INFO: Inference done 931/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:03:32 [10/26 17:42:47] d2.evaluation.evaluator INFO: Inference done 1034/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:03:27 [10/26 17:42:52] d2.evaluation.evaluator INFO: Inference done 1136/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:03:22 [10/26 17:42:57] d2.evaluation.evaluator INFO: Inference done 1238/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:03:17 [10/26 17:43:02] d2.evaluation.evaluator INFO: Inference done 1341/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:03:12 [10/26 17:43:07] d2.evaluation.evaluator INFO: Inference done 1443/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:03:07 [10/26 17:43:12] d2.evaluation.evaluator INFO: Inference done 1546/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:03:02 [10/26 17:43:17] d2.evaluation.evaluator INFO: Inference done 1648/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:02:57 [10/26 17:43:22] d2.evaluation.evaluator INFO: Inference done 1749/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:02:52 [10/26 17:43:27] d2.evaluation.evaluator INFO: Inference done 1849/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:02:47 [10/26 17:43:32] d2.evaluation.evaluator INFO: Inference done 1952/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:02:42 [10/26 17:43:37] d2.evaluation.evaluator INFO: Inference done 2054/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:02:37 [10/26 17:43:42] d2.evaluation.evaluator INFO: Inference done 2154/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:02:32 [10/26 17:43:47] d2.evaluation.evaluator INFO: Inference done 2251/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:28 [10/26 17:43:52] d2.evaluation.evaluator INFO: Inference done 2355/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:23 [10/26 17:43:57] d2.evaluation.evaluator INFO: Inference done 2456/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:18 [10/26 17:44:02] d2.evaluation.evaluator INFO: Inference done 2560/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:12 [10/26 17:44:07] d2.evaluation.evaluator INFO: Inference done 2664/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:02:07 [10/26 17:44:12] d2.evaluation.evaluator INFO: Inference done 2766/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:02:02 [10/26 17:44:17] d2.evaluation.evaluator INFO: Inference done 2869/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:01:57 [10/26 17:44:22] d2.evaluation.evaluator INFO: Inference done 2971/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:01:52 [10/26 17:44:27] d2.evaluation.evaluator INFO: Inference done 3073/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:01:47 [10/26 17:44:32] d2.evaluation.evaluator INFO: Inference done 3177/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:01:42 [10/26 17:44:37] d2.evaluation.evaluator INFO: Inference done 3280/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:01:37 [10/26 17:44:42] d2.evaluation.evaluator INFO: Inference done 3384/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:01:32 [10/26 17:44:47] d2.evaluation.evaluator INFO: Inference done 3485/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:01:27 [10/26 17:44:52] d2.evaluation.evaluator INFO: Inference done 3585/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:01:22 [10/26 17:44:57] d2.evaluation.evaluator INFO: Inference done 3688/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:01:17 [10/26 17:45:02] d2.evaluation.evaluator INFO: Inference done 3792/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:01:12 [10/26 17:45:07] d2.evaluation.evaluator INFO: Inference done 3893/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:01:07 [10/26 17:45:13] d2.evaluation.evaluator INFO: Inference done 3995/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:01:02 [10/26 17:45:18] d2.evaluation.evaluator INFO: Inference done 4099/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:00:56 [10/26 17:45:23] d2.evaluation.evaluator INFO: Inference done 4202/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:00:51 [10/26 17:45:28] d2.evaluation.evaluator INFO: Inference done 4305/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:00:46 [10/26 17:45:33] d2.evaluation.evaluator INFO: Inference done 4408/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:00:41 [10/26 17:45:38] d2.evaluation.evaluator INFO: Inference done 4508/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:00:36 [10/26 17:45:43] d2.evaluation.evaluator INFO: Inference done 4611/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:00:31 [10/26 17:45:48] d2.evaluation.evaluator INFO: Inference done 4714/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:00:26 [10/26 17:45:53] d2.evaluation.evaluator INFO: Inference done 4816/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:00:21 [10/26 17:45:58] d2.evaluation.evaluator INFO: Inference done 4920/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:00:16 [10/26 17:46:03] d2.evaluation.evaluator INFO: Inference done 5023/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:00:11 [10/26 17:46:08] d2.evaluation.evaluator INFO: Inference done 5125/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:00:06 [10/26 17:46:13] d2.evaluation.evaluator INFO: Inference done 5227/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:00:01 [10/26 17:46:14] d2.evaluation.evaluator INFO: Total inference time: 0:04:18.072487 (0.049129 s / iter per device, on 1 devices) [10/26 17:46:14] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:10 (0.047635 s / iter per device, on 1 devices) [10/26 17:46:14] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 17:47:25] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 17:47:25] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 17:47:25] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 17:47:25] d2.evaluation.testing INFO: copypaste: 6.1598,13.0402,5.5957 [10/26 17:47:25] d2.utils.events INFO: eta: 7:00:50 iter: 25999 total_loss: 2.698 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0418 loss_box_reg_sup: 0.3699 loss_rpn_cls_sup: 0.04447 loss_rpn_loc_sup: 0.3217 loss_cls_unsup: 0.2864 loss_box_reg_unsup: 0.6076 loss_rpn_cls_unsup: 0.3811 loss_rpn_loc_unsup: 0.7156 time: 6.1265 data_time: 0.7956 lr: 0.016 max_mem: 18367M [10/26 17:49:37] d2.utils.events INFO: eta: 6:58:46 iter: 26019 total_loss: 2.627 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04082 loss_box_reg_sup: 0.3386 loss_rpn_cls_sup: 0.03647 loss_rpn_loc_sup: 0.3031 loss_cls_unsup: 0.287 loss_box_reg_unsup: 0.5846 loss_rpn_cls_unsup: 0.3766 loss_rpn_loc_unsup: 0.7021 time: 6.1269 data_time: 0.8067 lr: 0.016 max_mem: 18367M [10/26 17:51:43] d2.utils.events INFO: eta: 6:56:30 iter: 26039 total_loss: 2.683 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04143 loss_box_reg_sup: 0.3682 loss_rpn_cls_sup: 0.03373 loss_rpn_loc_sup: 0.3256 loss_cls_unsup: 0.2847 loss_box_reg_unsup: 0.561 loss_rpn_cls_unsup: 0.3703 loss_rpn_loc_unsup: 0.6179 time: 6.1271 data_time: 0.8271 lr: 0.016 max_mem: 18367M [10/26 17:53:52] d2.utils.events INFO: eta: 6:54:27 iter: 26059 total_loss: 2.557 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03883 loss_box_reg_sup: 0.3646 loss_rpn_cls_sup: 0.03152 loss_rpn_loc_sup: 0.2824 loss_cls_unsup: 0.2746 loss_box_reg_unsup: 0.5764 loss_rpn_cls_unsup: 0.3486 loss_rpn_loc_unsup: 0.637 time: 6.1273 data_time: 0.8069 lr: 0.016 max_mem: 18367M [10/26 17:55:58] d2.utils.events INFO: eta: 6:52:16 iter: 26079 total_loss: 2.695 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03885 loss_box_reg_sup: 0.395 loss_rpn_cls_sup: 0.03684 loss_rpn_loc_sup: 0.3197 loss_cls_unsup: 0.2759 loss_box_reg_unsup: 0.5804 loss_rpn_cls_unsup: 0.3884 loss_rpn_loc_unsup: 0.6518 time: 6.1274 data_time: 0.8371 lr: 0.016 max_mem: 18367M [10/26 17:58:05] d2.utils.events INFO: eta: 6:50:07 iter: 26099 total_loss: 2.583 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03789 loss_box_reg_sup: 0.3729 loss_rpn_cls_sup: 0.03402 loss_rpn_loc_sup: 0.3127 loss_cls_unsup: 0.2717 loss_box_reg_unsup: 0.5766 loss_rpn_cls_unsup: 0.359 loss_rpn_loc_unsup: 0.6177 time: 6.1276 data_time: 0.7883 lr: 0.016 max_mem: 18367M [10/26 18:00:13] d2.utils.events INFO: eta: 6:47:57 iter: 26119 total_loss: 2.619 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03998 loss_box_reg_sup: 0.3364 loss_rpn_cls_sup: 0.03704 loss_rpn_loc_sup: 0.3044 loss_cls_unsup: 0.2688 loss_box_reg_unsup: 0.5546 loss_rpn_cls_unsup: 0.3554 loss_rpn_loc_unsup: 0.6252 time: 6.1278 data_time: 0.8066 lr: 0.016 max_mem: 18367M [10/26 18:02:19] d2.utils.events INFO: eta: 6:45:52 iter: 26139 total_loss: 2.775 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03822 loss_box_reg_sup: 0.3639 loss_rpn_cls_sup: 0.03503 loss_rpn_loc_sup: 0.2977 loss_cls_unsup: 0.2989 loss_box_reg_unsup: 0.5975 loss_rpn_cls_unsup: 0.3966 loss_rpn_loc_unsup: 0.6837 time: 6.1280 data_time: 0.8419 lr: 0.016 max_mem: 18367M [10/26 18:04:30] d2.utils.events INFO: eta: 6:43:43 iter: 26159 total_loss: 2.593 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04301 loss_box_reg_sup: 0.3835 loss_rpn_cls_sup: 0.03392 loss_rpn_loc_sup: 0.3222 loss_cls_unsup: 0.2957 loss_box_reg_unsup: 0.5751 loss_rpn_cls_unsup: 0.3879 loss_rpn_loc_unsup: 0.632 time: 6.1283 data_time: 0.8302 lr: 0.016 max_mem: 18367M [10/26 18:06:36] d2.utils.events INFO: eta: 6:41:34 iter: 26179 total_loss: 2.608 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03789 loss_box_reg_sup: 0.3613 loss_rpn_cls_sup: 0.03522 loss_rpn_loc_sup: 0.3142 loss_cls_unsup: 0.2766 loss_box_reg_unsup: 0.5714 loss_rpn_cls_unsup: 0.3781 loss_rpn_loc_unsup: 0.6703 time: 6.1284 data_time: 0.7960 lr: 0.016 max_mem: 18367M [10/26 18:08:43] d2.utils.events INFO: eta: 6:39:20 iter: 26199 total_loss: 2.696 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03865 loss_box_reg_sup: 0.3766 loss_rpn_cls_sup: 0.03382 loss_rpn_loc_sup: 0.3288 loss_cls_unsup: 0.277 loss_box_reg_unsup: 0.5581 loss_rpn_cls_unsup: 0.3764 loss_rpn_loc_unsup: 0.6662 time: 6.1286 data_time: 0.8132 lr: 0.016 max_mem: 18367M [10/26 18:10:50] d2.utils.events INFO: eta: 6:37:24 iter: 26219 total_loss: 2.587 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03808 loss_box_reg_sup: 0.3534 loss_rpn_cls_sup: 0.03314 loss_rpn_loc_sup: 0.3155 loss_cls_unsup: 0.287 loss_box_reg_unsup: 0.5571 loss_rpn_cls_unsup: 0.3692 loss_rpn_loc_unsup: 0.6658 time: 6.1287 data_time: 0.7920 lr: 0.016 max_mem: 18367M [10/26 18:13:02] d2.utils.events INFO: eta: 6:35:16 iter: 26239 total_loss: 2.659 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04266 loss_box_reg_sup: 0.3934 loss_rpn_cls_sup: 0.03653 loss_rpn_loc_sup: 0.3194 loss_cls_unsup: 0.273 loss_box_reg_unsup: 0.5464 loss_rpn_cls_unsup: 0.3792 loss_rpn_loc_unsup: 0.677 time: 6.1291 data_time: 0.8090 lr: 0.016 max_mem: 18367M [10/26 18:15:07] d2.utils.events INFO: eta: 6:33:16 iter: 26259 total_loss: 2.724 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04222 loss_box_reg_sup: 0.3694 loss_rpn_cls_sup: 0.03767 loss_rpn_loc_sup: 0.3166 loss_cls_unsup: 0.2737 loss_box_reg_unsup: 0.5543 loss_rpn_cls_unsup: 0.3838 loss_rpn_loc_unsup: 0.7617 time: 6.1292 data_time: 0.8043 lr: 0.016 max_mem: 18367M [10/26 18:17:18] d2.utils.events INFO: eta: 6:31:10 iter: 26279 total_loss: 2.574 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03541 loss_box_reg_sup: 0.3329 loss_rpn_cls_sup: 0.03245 loss_rpn_loc_sup: 0.3024 loss_cls_unsup: 0.2804 loss_box_reg_unsup: 0.5674 loss_rpn_cls_unsup: 0.3616 loss_rpn_loc_unsup: 0.6529 time: 6.1295 data_time: 0.8306 lr: 0.016 max_mem: 18367M [10/26 18:19:25] d2.utils.events INFO: eta: 6:29:03 iter: 26299 total_loss: 2.725 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04043 loss_box_reg_sup: 0.3553 loss_rpn_cls_sup: 0.03722 loss_rpn_loc_sup: 0.3202 loss_cls_unsup: 0.2805 loss_box_reg_unsup: 0.5727 loss_rpn_cls_unsup: 0.3891 loss_rpn_loc_unsup: 0.6822 time: 6.1297 data_time: 0.8157 lr: 0.016 max_mem: 18367M [10/26 18:21:36] d2.utils.events INFO: eta: 6:26:57 iter: 26319 total_loss: 2.621 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03897 loss_box_reg_sup: 0.3492 loss_rpn_cls_sup: 0.03513 loss_rpn_loc_sup: 0.3169 loss_cls_unsup: 0.2908 loss_box_reg_unsup: 0.5872 loss_rpn_cls_unsup: 0.3849 loss_rpn_loc_unsup: 0.6906 time: 6.1300 data_time: 0.8079 lr: 0.016 max_mem: 18367M [10/26 18:23:49] d2.utils.events INFO: eta: 6:24:53 iter: 26339 total_loss: 2.682 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03619 loss_box_reg_sup: 0.3239 loss_rpn_cls_sup: 0.03161 loss_rpn_loc_sup: 0.2915 loss_cls_unsup: 0.2763 loss_box_reg_unsup: 0.5781 loss_rpn_cls_unsup: 0.3857 loss_rpn_loc_unsup: 0.6694 time: 6.1304 data_time: 0.8391 lr: 0.016 max_mem: 18367M [10/26 18:25:56] d2.utils.events INFO: eta: 6:22:44 iter: 26359 total_loss: 2.793 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04313 loss_box_reg_sup: 0.3787 loss_rpn_cls_sup: 0.03877 loss_rpn_loc_sup: 0.3318 loss_cls_unsup: 0.2698 loss_box_reg_unsup: 0.5768 loss_rpn_cls_unsup: 0.3888 loss_rpn_loc_unsup: 0.7442 time: 6.1305 data_time: 0.8045 lr: 0.016 max_mem: 18367M [10/26 18:28:02] d2.utils.events INFO: eta: 6:20:42 iter: 26379 total_loss: 2.6 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03697 loss_box_reg_sup: 0.3358 loss_rpn_cls_sup: 0.03198 loss_rpn_loc_sup: 0.2979 loss_cls_unsup: 0.2917 loss_box_reg_unsup: 0.5789 loss_rpn_cls_unsup: 0.388 loss_rpn_loc_unsup: 0.6656 time: 6.1307 data_time: 0.8500 lr: 0.016 max_mem: 18367M [10/26 18:30:17] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 18:30:17] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 18:30:17] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 18:30:17] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 18:30:18] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0006 s/iter. Total: 0.0420 s/iter. ETA=0:03:40 [10/26 18:30:23] d2.evaluation.evaluator INFO: Inference done 133/5258. Dataloading: 0.0010 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0413 s/iter. ETA=0:03:31 [10/26 18:30:28] d2.evaluation.evaluator INFO: Inference done 259/5258. Dataloading: 0.0011 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:03:22 [10/26 18:30:33] d2.evaluation.evaluator INFO: Inference done 384/5258. Dataloading: 0.0011 s/iter. Inference: 0.0388 s/iter. Eval: 0.0005 s/iter. Total: 0.0404 s/iter. ETA=0:03:17 [10/26 18:30:38] d2.evaluation.evaluator INFO: Inference done 503/5258. Dataloading: 0.0011 s/iter. Inference: 0.0391 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:03:14 [10/26 18:30:43] d2.evaluation.evaluator INFO: Inference done 632/5258. Dataloading: 0.0011 s/iter. Inference: 0.0388 s/iter. Eval: 0.0005 s/iter. Total: 0.0404 s/iter. ETA=0:03:07 [10/26 18:30:48] d2.evaluation.evaluator INFO: Inference done 755/5258. Dataloading: 0.0011 s/iter. Inference: 0.0388 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:03:02 [10/26 18:30:53] d2.evaluation.evaluator INFO: Inference done 880/5258. Dataloading: 0.0011 s/iter. Inference: 0.0388 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:02:57 [10/26 18:30:58] d2.evaluation.evaluator INFO: Inference done 1001/5258. Dataloading: 0.0011 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:02:52 [10/26 18:31:03] d2.evaluation.evaluator INFO: Inference done 1125/5258. Dataloading: 0.0011 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:02:47 [10/26 18:31:08] d2.evaluation.evaluator INFO: Inference done 1252/5258. Dataloading: 0.0011 s/iter. Inference: 0.0388 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:02:42 [10/26 18:31:13] d2.evaluation.evaluator INFO: Inference done 1377/5258. Dataloading: 0.0011 s/iter. Inference: 0.0388 s/iter. Eval: 0.0005 s/iter. Total: 0.0404 s/iter. ETA=0:02:36 [10/26 18:31:18] d2.evaluation.evaluator INFO: Inference done 1497/5258. Dataloading: 0.0011 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:02:32 [10/26 18:31:23] d2.evaluation.evaluator INFO: Inference done 1621/5258. Dataloading: 0.0011 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:02:27 [10/26 18:31:28] d2.evaluation.evaluator INFO: Inference done 1742/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:02:22 [10/26 18:31:33] d2.evaluation.evaluator INFO: Inference done 1867/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:02:17 [10/26 18:31:38] d2.evaluation.evaluator INFO: Inference done 1989/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:02:12 [10/26 18:31:43] d2.evaluation.evaluator INFO: Inference done 2101/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:02:08 [10/26 18:31:48] d2.evaluation.evaluator INFO: Inference done 2227/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:02:03 [10/26 18:31:53] d2.evaluation.evaluator INFO: Inference done 2355/5258. Dataloading: 0.0011 s/iter. Inference: 0.0391 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:01:58 [10/26 18:31:58] d2.evaluation.evaluator INFO: Inference done 2479/5258. Dataloading: 0.0011 s/iter. Inference: 0.0391 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:01:53 [10/26 18:32:03] d2.evaluation.evaluator INFO: Inference done 2597/5258. Dataloading: 0.0011 s/iter. Inference: 0.0391 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:01:48 [10/26 18:32:08] d2.evaluation.evaluator INFO: Inference done 2722/5258. Dataloading: 0.0011 s/iter. Inference: 0.0391 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:01:43 [10/26 18:32:13] d2.evaluation.evaluator INFO: Inference done 2851/5258. Dataloading: 0.0011 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:01:37 [10/26 18:32:18] d2.evaluation.evaluator INFO: Inference done 2969/5258. Dataloading: 0.0011 s/iter. Inference: 0.0391 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:01:33 [10/26 18:32:23] d2.evaluation.evaluator INFO: Inference done 3094/5258. Dataloading: 0.0011 s/iter. Inference: 0.0391 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:01:28 [10/26 18:32:28] d2.evaluation.evaluator INFO: Inference done 3224/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:01:22 [10/26 18:32:33] d2.evaluation.evaluator INFO: Inference done 3346/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:01:17 [10/26 18:32:39] d2.evaluation.evaluator INFO: Inference done 3468/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:01:12 [10/26 18:32:44] d2.evaluation.evaluator INFO: Inference done 3595/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:01:07 [10/26 18:32:49] d2.evaluation.evaluator INFO: Inference done 3714/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:01:02 [10/26 18:32:54] d2.evaluation.evaluator INFO: Inference done 3842/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:00:57 [10/26 18:32:59] d2.evaluation.evaluator INFO: Inference done 3968/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:00:52 [10/26 18:33:04] d2.evaluation.evaluator INFO: Inference done 4094/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:00:47 [10/26 18:33:09] d2.evaluation.evaluator INFO: Inference done 4219/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:00:42 [10/26 18:33:14] d2.evaluation.evaluator INFO: Inference done 4346/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:00:36 [10/26 18:33:19] d2.evaluation.evaluator INFO: Inference done 4466/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:00:32 [10/26 18:33:24] d2.evaluation.evaluator INFO: Inference done 4592/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:00:27 [10/26 18:33:29] d2.evaluation.evaluator INFO: Inference done 4718/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:00:21 [10/26 18:33:34] d2.evaluation.evaluator INFO: Inference done 4842/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:00:16 [10/26 18:33:39] d2.evaluation.evaluator INFO: Inference done 4969/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:00:11 [10/26 18:33:44] d2.evaluation.evaluator INFO: Inference done 5091/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:00:06 [10/26 18:33:49] d2.evaluation.evaluator INFO: Inference done 5214/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0005 s/iter. Total: 0.0405 s/iter. ETA=0:00:01 [10/26 18:33:51] d2.evaluation.evaluator INFO: Total inference time: 0:03:32.906823 (0.040531 s / iter per device, on 1 devices) [10/26 18:33:51] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:24 (0.038914 s / iter per device, on 1 devices) [10/26 18:33:51] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 18:35:14] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 18:35:14] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 18:35:14] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 18:35:14] d2.evaluation.testing INFO: copypaste: 5.6309,12.3448,4.8765 [10/26 18:35:15] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 18:35:15] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 18:35:15] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 18:35:15] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 18:35:17] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0489 s/iter. ETA=0:04:16 [10/26 18:35:22] d2.evaluation.evaluator INFO: Inference done 112/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:04:14 [10/26 18:35:27] d2.evaluation.evaluator INFO: Inference done 212/5258. Dataloading: 0.0010 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:04:11 [10/26 18:35:32] d2.evaluation.evaluator INFO: Inference done 314/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:04:05 [10/26 18:35:37] d2.evaluation.evaluator INFO: Inference done 414/5258. Dataloading: 0.0010 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:04:00 [10/26 18:35:42] d2.evaluation.evaluator INFO: Inference done 516/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:03:55 [10/26 18:35:47] d2.evaluation.evaluator INFO: Inference done 620/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:03:48 [10/26 18:35:52] d2.evaluation.evaluator INFO: Inference done 722/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:03:43 [10/26 18:35:57] d2.evaluation.evaluator INFO: Inference done 825/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:03:38 [10/26 18:36:02] d2.evaluation.evaluator INFO: Inference done 926/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:03:33 [10/26 18:36:07] d2.evaluation.evaluator INFO: Inference done 1029/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:03:28 [10/26 18:36:12] d2.evaluation.evaluator INFO: Inference done 1131/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:03:23 [10/26 18:36:17] d2.evaluation.evaluator INFO: Inference done 1234/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:03:17 [10/26 18:36:22] d2.evaluation.evaluator INFO: Inference done 1335/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:03:13 [10/26 18:36:27] d2.evaluation.evaluator INFO: Inference done 1438/5258. Dataloading: 0.0010 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:03:07 [10/26 18:36:32] d2.evaluation.evaluator INFO: Inference done 1537/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:03:03 [10/26 18:36:37] d2.evaluation.evaluator INFO: Inference done 1638/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:58 [10/26 18:36:42] d2.evaluation.evaluator INFO: Inference done 1739/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:53 [10/26 18:36:47] d2.evaluation.evaluator INFO: Inference done 1842/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:48 [10/26 18:36:52] d2.evaluation.evaluator INFO: Inference done 1943/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:43 [10/26 18:36:57] d2.evaluation.evaluator INFO: Inference done 2042/5258. Dataloading: 0.0011 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:38 [10/26 18:37:02] d2.evaluation.evaluator INFO: Inference done 2142/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:34 [10/26 18:37:07] d2.evaluation.evaluator INFO: Inference done 2242/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:29 [10/26 18:37:12] d2.evaluation.evaluator INFO: Inference done 2344/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:24 [10/26 18:37:17] d2.evaluation.evaluator INFO: Inference done 2445/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:19 [10/26 18:37:22] d2.evaluation.evaluator INFO: Inference done 2546/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:02:14 [10/26 18:37:27] d2.evaluation.evaluator INFO: Inference done 2649/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:08 [10/26 18:37:32] d2.evaluation.evaluator INFO: Inference done 2752/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:02:03 [10/26 18:37:37] d2.evaluation.evaluator INFO: Inference done 2852/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:58 [10/26 18:37:42] d2.evaluation.evaluator INFO: Inference done 2954/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:53 [10/26 18:37:47] d2.evaluation.evaluator INFO: Inference done 3057/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:48 [10/26 18:37:52] d2.evaluation.evaluator INFO: Inference done 3159/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:43 [10/26 18:37:57] d2.evaluation.evaluator INFO: Inference done 3263/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:38 [10/26 18:38:02] d2.evaluation.evaluator INFO: Inference done 3365/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:33 [10/26 18:38:07] d2.evaluation.evaluator INFO: Inference done 3466/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:28 [10/26 18:38:12] d2.evaluation.evaluator INFO: Inference done 3566/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:23 [10/26 18:38:17] d2.evaluation.evaluator INFO: Inference done 3666/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:18 [10/26 18:38:22] d2.evaluation.evaluator INFO: Inference done 3767/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:13 [10/26 18:38:27] d2.evaluation.evaluator INFO: Inference done 3868/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:08 [10/26 18:38:32] d2.evaluation.evaluator INFO: Inference done 3969/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:01:03 [10/26 18:38:37] d2.evaluation.evaluator INFO: Inference done 4066/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:59 [10/26 18:38:42] d2.evaluation.evaluator INFO: Inference done 4166/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:54 [10/26 18:38:47] d2.evaluation.evaluator INFO: Inference done 4264/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:49 [10/26 18:38:52] d2.evaluation.evaluator INFO: Inference done 4365/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:44 [10/26 18:38:57] d2.evaluation.evaluator INFO: Inference done 4468/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:39 [10/26 18:39:02] d2.evaluation.evaluator INFO: Inference done 4570/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:34 [10/26 18:39:07] d2.evaluation.evaluator INFO: Inference done 4672/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:29 [10/26 18:39:12] d2.evaluation.evaluator INFO: Inference done 4774/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:23 [10/26 18:39:18] d2.evaluation.evaluator INFO: Inference done 4877/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:18 [10/26 18:39:23] d2.evaluation.evaluator INFO: Inference done 4980/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:13 [10/26 18:39:28] d2.evaluation.evaluator INFO: Inference done 5083/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:08 [10/26 18:39:33] d2.evaluation.evaluator INFO: Inference done 5184/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:03 [10/26 18:39:36] d2.evaluation.evaluator INFO: Total inference time: 0:04:19.829751 (0.049463 s / iter per device, on 1 devices) [10/26 18:39:36] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:11 (0.047904 s / iter per device, on 1 devices) [10/26 18:39:36] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 18:40:45] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 18:40:45] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 18:40:45] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 18:40:45] d2.evaluation.testing INFO: copypaste: 6.1478,13.0871,5.5751 [10/26 18:40:45] d2.utils.events INFO: eta: 6:18:44 iter: 26399 total_loss: 2.552 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04052 loss_box_reg_sup: 0.3495 loss_rpn_cls_sup: 0.0343 loss_rpn_loc_sup: 0.2959 loss_cls_unsup: 0.2814 loss_box_reg_unsup: 0.5685 loss_rpn_cls_unsup: 0.3653 loss_rpn_loc_unsup: 0.5942 time: 6.1309 data_time: 0.8259 lr: 0.016 max_mem: 18367M [10/26 18:42:55] d2.utils.events INFO: eta: 6:16:35 iter: 26419 total_loss: 2.66 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03454 loss_box_reg_sup: 0.3295 loss_rpn_cls_sup: 0.03369 loss_rpn_loc_sup: 0.3136 loss_cls_unsup: 0.2794 loss_box_reg_unsup: 0.5689 loss_rpn_cls_unsup: 0.3864 loss_rpn_loc_unsup: 0.7189 time: 6.1312 data_time: 0.8738 lr: 0.016 max_mem: 18367M [10/26 18:45:01] d2.utils.events INFO: eta: 6:14:22 iter: 26439 total_loss: 2.582 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03911 loss_box_reg_sup: 0.3442 loss_rpn_cls_sup: 0.03771 loss_rpn_loc_sup: 0.3044 loss_cls_unsup: 0.2759 loss_box_reg_unsup: 0.5489 loss_rpn_cls_unsup: 0.367 loss_rpn_loc_unsup: 0.6937 time: 6.1313 data_time: 0.7825 lr: 0.016 max_mem: 18367M [10/26 18:47:07] d2.utils.events INFO: eta: 6:12:21 iter: 26459 total_loss: 2.692 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03792 loss_box_reg_sup: 0.3377 loss_rpn_cls_sup: 0.03201 loss_rpn_loc_sup: 0.2933 loss_cls_unsup: 0.2869 loss_box_reg_unsup: 0.5773 loss_rpn_cls_unsup: 0.3692 loss_rpn_loc_unsup: 0.6738 time: 6.1315 data_time: 0.8135 lr: 0.016 max_mem: 18367M [10/26 18:49:12] d2.utils.events INFO: eta: 6:10:11 iter: 26479 total_loss: 2.626 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04013 loss_box_reg_sup: 0.3488 loss_rpn_cls_sup: 0.0361 loss_rpn_loc_sup: 0.323 loss_cls_unsup: 0.2926 loss_box_reg_unsup: 0.5846 loss_rpn_cls_unsup: 0.3816 loss_rpn_loc_unsup: 0.6895 time: 6.1315 data_time: 0.8383 lr: 0.016 max_mem: 18367M [10/26 18:51:28] d2.utils.events INFO: eta: 6:08:03 iter: 26499 total_loss: 2.505 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0406 loss_box_reg_sup: 0.3495 loss_rpn_cls_sup: 0.03705 loss_rpn_loc_sup: 0.2906 loss_cls_unsup: 0.2659 loss_box_reg_unsup: 0.5786 loss_rpn_cls_unsup: 0.3529 loss_rpn_loc_unsup: 0.6038 time: 6.1320 data_time: 0.8202 lr: 0.016 max_mem: 18367M [10/26 18:53:33] d2.utils.events INFO: eta: 6:05:52 iter: 26519 total_loss: 2.594 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04045 loss_box_reg_sup: 0.3466 loss_rpn_cls_sup: 0.03215 loss_rpn_loc_sup: 0.3033 loss_cls_unsup: 0.2744 loss_box_reg_unsup: 0.5717 loss_rpn_cls_unsup: 0.3863 loss_rpn_loc_unsup: 0.7043 time: 6.1321 data_time: 0.7804 lr: 0.016 max_mem: 18367M [10/26 18:55:40] d2.utils.events INFO: eta: 6:03:36 iter: 26539 total_loss: 2.723 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04327 loss_box_reg_sup: 0.3882 loss_rpn_cls_sup: 0.04077 loss_rpn_loc_sup: 0.335 loss_cls_unsup: 0.2827 loss_box_reg_unsup: 0.5737 loss_rpn_cls_unsup: 0.3827 loss_rpn_loc_unsup: 0.6127 time: 6.1323 data_time: 0.8221 lr: 0.016 max_mem: 18367M [10/26 18:57:46] d2.utils.events INFO: eta: 6:01:26 iter: 26559 total_loss: 2.576 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04388 loss_box_reg_sup: 0.378 loss_rpn_cls_sup: 0.03588 loss_rpn_loc_sup: 0.3245 loss_cls_unsup: 0.2685 loss_box_reg_unsup: 0.5648 loss_rpn_cls_unsup: 0.3628 loss_rpn_loc_unsup: 0.5948 time: 6.1324 data_time: 0.8200 lr: 0.016 max_mem: 18367M [10/26 18:59:53] d2.utils.events INFO: eta: 5:59:19 iter: 26579 total_loss: 2.6 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03745 loss_box_reg_sup: 0.3538 loss_rpn_cls_sup: 0.03454 loss_rpn_loc_sup: 0.3217 loss_cls_unsup: 0.2833 loss_box_reg_unsup: 0.5705 loss_rpn_cls_unsup: 0.3644 loss_rpn_loc_unsup: 0.664 time: 6.1326 data_time: 0.8245 lr: 0.016 max_mem: 18367M [10/26 19:02:01] d2.utils.events INFO: eta: 5:57:11 iter: 26599 total_loss: 2.729 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03456 loss_box_reg_sup: 0.3379 loss_rpn_cls_sup: 0.03427 loss_rpn_loc_sup: 0.3218 loss_cls_unsup: 0.2859 loss_box_reg_unsup: 0.5666 loss_rpn_cls_unsup: 0.3882 loss_rpn_loc_unsup: 0.7827 time: 6.1328 data_time: 0.7969 lr: 0.016 max_mem: 18367M [10/26 19:04:07] d2.utils.events INFO: eta: 5:55:01 iter: 26619 total_loss: 2.786 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03898 loss_box_reg_sup: 0.3459 loss_rpn_cls_sup: 0.03394 loss_rpn_loc_sup: 0.2932 loss_cls_unsup: 0.2914 loss_box_reg_unsup: 0.5866 loss_rpn_cls_unsup: 0.4045 loss_rpn_loc_unsup: 0.7106 time: 6.1329 data_time: 0.7806 lr: 0.016 max_mem: 18367M [10/26 19:06:18] d2.utils.events INFO: eta: 5:52:52 iter: 26639 total_loss: 2.586 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03433 loss_box_reg_sup: 0.3359 loss_rpn_cls_sup: 0.03263 loss_rpn_loc_sup: 0.3043 loss_cls_unsup: 0.3072 loss_box_reg_unsup: 0.5877 loss_rpn_cls_unsup: 0.3729 loss_rpn_loc_unsup: 0.7132 time: 6.1332 data_time: 0.8479 lr: 0.016 max_mem: 18367M [10/26 19:08:28] d2.utils.events INFO: eta: 5:50:47 iter: 26659 total_loss: 2.663 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03946 loss_box_reg_sup: 0.3597 loss_rpn_cls_sup: 0.03734 loss_rpn_loc_sup: 0.3257 loss_cls_unsup: 0.2827 loss_box_reg_unsup: 0.5826 loss_rpn_cls_unsup: 0.3683 loss_rpn_loc_unsup: 0.682 time: 6.1335 data_time: 0.8738 lr: 0.016 max_mem: 18367M [10/26 19:10:36] d2.utils.events INFO: eta: 5:48:37 iter: 26679 total_loss: 2.648 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04061 loss_box_reg_sup: 0.3735 loss_rpn_cls_sup: 0.03546 loss_rpn_loc_sup: 0.3048 loss_cls_unsup: 0.2811 loss_box_reg_unsup: 0.5717 loss_rpn_cls_unsup: 0.3714 loss_rpn_loc_unsup: 0.6575 time: 6.1337 data_time: 0.8016 lr: 0.016 max_mem: 18367M [10/26 19:12:43] d2.utils.events INFO: eta: 5:46:28 iter: 26699 total_loss: 2.687 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03744 loss_box_reg_sup: 0.3411 loss_rpn_cls_sup: 0.03603 loss_rpn_loc_sup: 0.331 loss_cls_unsup: 0.2966 loss_box_reg_unsup: 0.5429 loss_rpn_cls_unsup: 0.384 loss_rpn_loc_unsup: 0.6917 time: 6.1338 data_time: 0.8201 lr: 0.016 max_mem: 18367M [10/26 19:14:49] d2.utils.events INFO: eta: 5:44:18 iter: 26719 total_loss: 2.651 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04192 loss_box_reg_sup: 0.3701 loss_rpn_cls_sup: 0.03671 loss_rpn_loc_sup: 0.319 loss_cls_unsup: 0.271 loss_box_reg_unsup: 0.5884 loss_rpn_cls_unsup: 0.3719 loss_rpn_loc_unsup: 0.6638 time: 6.1340 data_time: 0.8200 lr: 0.016 max_mem: 18367M [10/26 19:16:59] d2.utils.events INFO: eta: 5:42:09 iter: 26739 total_loss: 2.622 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04097 loss_box_reg_sup: 0.3532 loss_rpn_cls_sup: 0.03712 loss_rpn_loc_sup: 0.2976 loss_cls_unsup: 0.2699 loss_box_reg_unsup: 0.5704 loss_rpn_cls_unsup: 0.3711 loss_rpn_loc_unsup: 0.6533 time: 6.1342 data_time: 0.8360 lr: 0.016 max_mem: 18367M [10/26 19:19:07] d2.utils.events INFO: eta: 5:40:09 iter: 26759 total_loss: 2.743 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03974 loss_box_reg_sup: 0.3438 loss_rpn_cls_sup: 0.03582 loss_rpn_loc_sup: 0.3208 loss_cls_unsup: 0.2764 loss_box_reg_unsup: 0.5725 loss_rpn_cls_unsup: 0.3796 loss_rpn_loc_unsup: 0.7067 time: 6.1344 data_time: 0.8496 lr: 0.016 max_mem: 18367M [10/26 19:21:13] d2.utils.events INFO: eta: 5:37:56 iter: 26779 total_loss: 2.707 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04027 loss_box_reg_sup: 0.331 loss_rpn_cls_sup: 0.03962 loss_rpn_loc_sup: 0.3168 loss_cls_unsup: 0.2786 loss_box_reg_unsup: 0.5591 loss_rpn_cls_unsup: 0.3852 loss_rpn_loc_unsup: 0.6826 time: 6.1346 data_time: 0.8060 lr: 0.016 max_mem: 18367M [10/26 19:23:27] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 19:23:27] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 19:23:27] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 19:23:27] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 19:23:28] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0018 s/iter. Inference: 0.0465 s/iter. Eval: 0.0007 s/iter. Total: 0.0490 s/iter. ETA=0:04:16 [10/26 19:23:33] d2.evaluation.evaluator INFO: Inference done 128/5258. Dataloading: 0.0011 s/iter. Inference: 0.0414 s/iter. Eval: 0.0006 s/iter. Total: 0.0432 s/iter. ETA=0:03:41 [10/26 19:23:38] d2.evaluation.evaluator INFO: Inference done 249/5258. Dataloading: 0.0010 s/iter. Inference: 0.0407 s/iter. Eval: 0.0006 s/iter. Total: 0.0424 s/iter. ETA=0:03:32 [10/26 19:23:43] d2.evaluation.evaluator INFO: Inference done 365/5258. Dataloading: 0.0010 s/iter. Inference: 0.0410 s/iter. Eval: 0.0006 s/iter. Total: 0.0427 s/iter. ETA=0:03:28 [10/26 19:23:48] d2.evaluation.evaluator INFO: Inference done 492/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0006 s/iter. Total: 0.0418 s/iter. ETA=0:03:19 [10/26 19:23:53] d2.evaluation.evaluator INFO: Inference done 615/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0006 s/iter. Total: 0.0417 s/iter. ETA=0:03:13 [10/26 19:23:58] d2.evaluation.evaluator INFO: Inference done 738/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0006 s/iter. Total: 0.0415 s/iter. ETA=0:03:07 [10/26 19:24:03] d2.evaluation.evaluator INFO: Inference done 866/5258. Dataloading: 0.0010 s/iter. Inference: 0.0395 s/iter. Eval: 0.0006 s/iter. Total: 0.0412 s/iter. ETA=0:03:00 [10/26 19:24:08] d2.evaluation.evaluator INFO: Inference done 989/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0006 s/iter. Total: 0.0411 s/iter. ETA=0:02:55 [10/26 19:24:13] d2.evaluation.evaluator INFO: Inference done 1116/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0006 s/iter. Total: 0.0409 s/iter. ETA=0:02:49 [10/26 19:24:18] d2.evaluation.evaluator INFO: Inference done 1235/5258. Dataloading: 0.0010 s/iter. Inference: 0.0394 s/iter. Eval: 0.0006 s/iter. Total: 0.0410 s/iter. ETA=0:02:45 [10/26 19:24:23] d2.evaluation.evaluator INFO: Inference done 1360/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0006 s/iter. Total: 0.0410 s/iter. ETA=0:02:39 [10/26 19:24:29] d2.evaluation.evaluator INFO: Inference done 1481/5258. Dataloading: 0.0010 s/iter. Inference: 0.0393 s/iter. Eval: 0.0006 s/iter. Total: 0.0410 s/iter. ETA=0:02:34 [10/26 19:24:34] d2.evaluation.evaluator INFO: Inference done 1609/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0006 s/iter. Total: 0.0409 s/iter. ETA=0:02:29 [10/26 19:24:39] d2.evaluation.evaluator INFO: Inference done 1736/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0006 s/iter. Total: 0.0408 s/iter. ETA=0:02:23 [10/26 19:24:44] d2.evaluation.evaluator INFO: Inference done 1860/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0006 s/iter. Total: 0.0408 s/iter. ETA=0:02:18 [10/26 19:24:49] d2.evaluation.evaluator INFO: Inference done 1979/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0006 s/iter. Total: 0.0409 s/iter. ETA=0:02:13 [10/26 19:24:54] d2.evaluation.evaluator INFO: Inference done 2105/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0006 s/iter. Total: 0.0408 s/iter. ETA=0:02:08 [10/26 19:24:59] d2.evaluation.evaluator INFO: Inference done 2228/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0006 s/iter. Total: 0.0408 s/iter. ETA=0:02:03 [10/26 19:25:04] d2.evaluation.evaluator INFO: Inference done 2349/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0006 s/iter. Total: 0.0408 s/iter. ETA=0:01:58 [10/26 19:25:09] d2.evaluation.evaluator INFO: Inference done 2475/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0006 s/iter. Total: 0.0408 s/iter. ETA=0:01:53 [10/26 19:25:14] d2.evaluation.evaluator INFO: Inference done 2605/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0006 s/iter. Total: 0.0407 s/iter. ETA=0:01:47 [10/26 19:25:19] d2.evaluation.evaluator INFO: Inference done 2730/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0006 s/iter. Total: 0.0406 s/iter. ETA=0:01:42 [10/26 19:25:24] d2.evaluation.evaluator INFO: Inference done 2858/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0006 s/iter. Total: 0.0406 s/iter. ETA=0:01:37 [10/26 19:25:29] d2.evaluation.evaluator INFO: Inference done 2974/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0006 s/iter. Total: 0.0407 s/iter. ETA=0:01:32 [10/26 19:25:34] d2.evaluation.evaluator INFO: Inference done 3095/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0006 s/iter. Total: 0.0407 s/iter. ETA=0:01:28 [10/26 19:25:39] d2.evaluation.evaluator INFO: Inference done 3222/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0006 s/iter. Total: 0.0407 s/iter. ETA=0:01:22 [10/26 19:25:44] d2.evaluation.evaluator INFO: Inference done 3351/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0006 s/iter. Total: 0.0406 s/iter. ETA=0:01:17 [10/26 19:25:49] d2.evaluation.evaluator INFO: Inference done 3478/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0006 s/iter. Total: 0.0406 s/iter. ETA=0:01:12 [10/26 19:25:54] d2.evaluation.evaluator INFO: Inference done 3607/5258. Dataloading: 0.0010 s/iter. Inference: 0.0388 s/iter. Eval: 0.0006 s/iter. Total: 0.0405 s/iter. ETA=0:01:06 [10/26 19:25:59] d2.evaluation.evaluator INFO: Inference done 3732/5258. Dataloading: 0.0010 s/iter. Inference: 0.0388 s/iter. Eval: 0.0006 s/iter. Total: 0.0405 s/iter. ETA=0:01:01 [10/26 19:26:04] d2.evaluation.evaluator INFO: Inference done 3856/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0006 s/iter. Total: 0.0405 s/iter. ETA=0:00:56 [10/26 19:26:09] d2.evaluation.evaluator INFO: Inference done 3972/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0006 s/iter. Total: 0.0406 s/iter. ETA=0:00:52 [10/26 19:26:14] d2.evaluation.evaluator INFO: Inference done 4093/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0006 s/iter. Total: 0.0406 s/iter. ETA=0:00:47 [10/26 19:26:19] d2.evaluation.evaluator INFO: Inference done 4219/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0006 s/iter. Total: 0.0406 s/iter. ETA=0:00:42 [10/26 19:26:24] d2.evaluation.evaluator INFO: Inference done 4345/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0006 s/iter. Total: 0.0406 s/iter. ETA=0:00:37 [10/26 19:26:29] d2.evaluation.evaluator INFO: Inference done 4472/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0006 s/iter. Total: 0.0405 s/iter. ETA=0:00:31 [10/26 19:26:34] d2.evaluation.evaluator INFO: Inference done 4601/5258. Dataloading: 0.0010 s/iter. Inference: 0.0388 s/iter. Eval: 0.0006 s/iter. Total: 0.0405 s/iter. ETA=0:00:26 [10/26 19:26:39] d2.evaluation.evaluator INFO: Inference done 4714/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0006 s/iter. Total: 0.0406 s/iter. ETA=0:00:22 [10/26 19:26:44] d2.evaluation.evaluator INFO: Inference done 4834/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0006 s/iter. Total: 0.0406 s/iter. ETA=0:00:17 [10/26 19:26:49] d2.evaluation.evaluator INFO: Inference done 4947/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0006 s/iter. Total: 0.0407 s/iter. ETA=0:00:12 [10/26 19:26:54] d2.evaluation.evaluator INFO: Inference done 5067/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0006 s/iter. Total: 0.0407 s/iter. ETA=0:00:07 [10/26 19:26:59] d2.evaluation.evaluator INFO: Inference done 5187/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0006 s/iter. Total: 0.0408 s/iter. ETA=0:00:02 [10/26 19:27:02] d2.evaluation.evaluator INFO: Total inference time: 0:03:34.097730 (0.040757 s / iter per device, on 1 devices) [10/26 19:27:02] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:25 (0.039082 s / iter per device, on 1 devices) [10/26 19:27:02] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 19:28:45] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 19:28:45] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 19:28:45] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 19:28:45] d2.evaluation.testing INFO: copypaste: 5.5213,12.0329,4.7693 [10/26 19:28:47] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 19:28:47] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 19:28:47] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 19:28:47] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 19:28:48] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0480 s/iter. Eval: 0.0006 s/iter. Total: 0.0495 s/iter. ETA=0:04:19 [10/26 19:28:53] d2.evaluation.evaluator INFO: Inference done 114/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0490 s/iter. ETA=0:04:12 [10/26 19:28:58] d2.evaluation.evaluator INFO: Inference done 217/5258. Dataloading: 0.0010 s/iter. Inference: 0.0474 s/iter. Eval: 0.0005 s/iter. Total: 0.0489 s/iter. ETA=0:04:06 [10/26 19:29:03] d2.evaluation.evaluator INFO: Inference done 320/5258. Dataloading: 0.0010 s/iter. Inference: 0.0474 s/iter. Eval: 0.0005 s/iter. Total: 0.0489 s/iter. ETA=0:04:01 [10/26 19:29:08] d2.evaluation.evaluator INFO: Inference done 422/5258. Dataloading: 0.0010 s/iter. Inference: 0.0474 s/iter. Eval: 0.0005 s/iter. Total: 0.0489 s/iter. ETA=0:03:56 [10/26 19:29:13] d2.evaluation.evaluator INFO: Inference done 526/5258. Dataloading: 0.0010 s/iter. Inference: 0.0473 s/iter. Eval: 0.0005 s/iter. Total: 0.0488 s/iter. ETA=0:03:50 [10/26 19:29:18] d2.evaluation.evaluator INFO: Inference done 630/5258. 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ETA=0:00:16 [10/26 19:32:54] d2.evaluation.evaluator INFO: Inference done 5018/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:00:11 [10/26 19:32:59] d2.evaluation.evaluator INFO: Inference done 5120/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:00:06 [10/26 19:33:04] d2.evaluation.evaluator INFO: Inference done 5221/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:00:01 [10/26 19:33:06] d2.evaluation.evaluator INFO: Total inference time: 0:04:18.481036 (0.049206 s / iter per device, on 1 devices) [10/26 19:33:06] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:10 (0.047678 s / iter per device, on 1 devices) [10/26 19:33:06] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 19:34:13] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 19:34:13] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 19:34:13] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 19:34:13] d2.evaluation.testing INFO: copypaste: 6.1739,13.0566,5.5991 [10/26 19:34:13] d2.utils.events INFO: eta: 5:35:49 iter: 26799 total_loss: 2.776 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04067 loss_box_reg_sup: 0.3636 loss_rpn_cls_sup: 0.03284 loss_rpn_loc_sup: 0.315 loss_cls_unsup: 0.2895 loss_box_reg_unsup: 0.5534 loss_rpn_cls_unsup: 0.3759 loss_rpn_loc_unsup: 0.6657 time: 6.1347 data_time: 0.8653 lr: 0.016 max_mem: 18367M [10/26 19:36:24] d2.utils.events INFO: eta: 5:33:37 iter: 26819 total_loss: 2.63 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03741 loss_box_reg_sup: 0.3468 loss_rpn_cls_sup: 0.03492 loss_rpn_loc_sup: 0.2997 loss_cls_unsup: 0.2908 loss_box_reg_unsup: 0.5766 loss_rpn_cls_unsup: 0.4093 loss_rpn_loc_unsup: 0.712 time: 6.1350 data_time: 0.8384 lr: 0.016 max_mem: 18367M [10/26 19:38:40] d2.utils.events INFO: eta: 5:31:35 iter: 26839 total_loss: 2.695 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03918 loss_box_reg_sup: 0.3671 loss_rpn_cls_sup: 0.03602 loss_rpn_loc_sup: 0.3125 loss_cls_unsup: 0.2789 loss_box_reg_unsup: 0.5803 loss_rpn_cls_unsup: 0.3795 loss_rpn_loc_unsup: 0.715 time: 6.1356 data_time: 0.8682 lr: 0.016 max_mem: 18367M [10/26 19:40:55] d2.utils.events INFO: eta: 5:29:31 iter: 26859 total_loss: 2.766 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04098 loss_box_reg_sup: 0.3847 loss_rpn_cls_sup: 0.03643 loss_rpn_loc_sup: 0.3196 loss_cls_unsup: 0.2956 loss_box_reg_unsup: 0.5765 loss_rpn_cls_unsup: 0.3835 loss_rpn_loc_unsup: 0.7404 time: 6.1360 data_time: 0.8206 lr: 0.016 max_mem: 18367M [10/26 19:43:12] d2.utils.events INFO: eta: 5:27:21 iter: 26879 total_loss: 2.713 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04276 loss_box_reg_sup: 0.3895 loss_rpn_cls_sup: 0.03625 loss_rpn_loc_sup: 0.3257 loss_cls_unsup: 0.275 loss_box_reg_unsup: 0.5752 loss_rpn_cls_unsup: 0.3775 loss_rpn_loc_unsup: 0.6613 time: 6.1365 data_time: 0.8050 lr: 0.016 max_mem: 18367M [10/26 19:45:24] d2.utils.events INFO: eta: 5:25:21 iter: 26899 total_loss: 2.721 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04186 loss_box_reg_sup: 0.3659 loss_rpn_cls_sup: 0.03342 loss_rpn_loc_sup: 0.2936 loss_cls_unsup: 0.2675 loss_box_reg_unsup: 0.5956 loss_rpn_cls_unsup: 0.3892 loss_rpn_loc_unsup: 0.7157 time: 6.1369 data_time: 0.8376 lr: 0.016 max_mem: 18367M [10/26 19:47:29] d2.utils.events INFO: eta: 5:23:15 iter: 26919 total_loss: 2.669 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03728 loss_box_reg_sup: 0.3041 loss_rpn_cls_sup: 0.03335 loss_rpn_loc_sup: 0.3156 loss_cls_unsup: 0.3042 loss_box_reg_unsup: 0.5823 loss_rpn_cls_unsup: 0.3909 loss_rpn_loc_unsup: 0.6597 time: 6.1370 data_time: 0.8030 lr: 0.016 max_mem: 18367M [10/26 19:49:43] d2.utils.events INFO: eta: 5:21:12 iter: 26939 total_loss: 2.654 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03866 loss_box_reg_sup: 0.3368 loss_rpn_cls_sup: 0.03403 loss_rpn_loc_sup: 0.3059 loss_cls_unsup: 0.2718 loss_box_reg_unsup: 0.5871 loss_rpn_cls_unsup: 0.3677 loss_rpn_loc_unsup: 0.6814 time: 6.1374 data_time: 0.8231 lr: 0.016 max_mem: 18367M [10/26 19:51:52] d2.utils.events INFO: eta: 5:19:02 iter: 26959 total_loss: 2.572 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03745 loss_box_reg_sup: 0.3496 loss_rpn_cls_sup: 0.0347 loss_rpn_loc_sup: 0.3163 loss_cls_unsup: 0.2713 loss_box_reg_unsup: 0.5933 loss_rpn_cls_unsup: 0.3401 loss_rpn_loc_unsup: 0.6145 time: 6.1376 data_time: 0.8519 lr: 0.016 max_mem: 18367M [10/26 19:53:58] d2.utils.events INFO: eta: 5:16:52 iter: 26979 total_loss: 2.866 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04615 loss_box_reg_sup: 0.3852 loss_rpn_cls_sup: 0.03711 loss_rpn_loc_sup: 0.3109 loss_cls_unsup: 0.2744 loss_box_reg_unsup: 0.6586 loss_rpn_cls_unsup: 0.3687 loss_rpn_loc_unsup: 0.7691 time: 6.1377 data_time: 0.8046 lr: 0.016 max_mem: 18367M [10/26 19:56:09] d2.utils.events INFO: eta: 5:14:45 iter: 26999 total_loss: 2.638 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03966 loss_box_reg_sup: 0.3689 loss_rpn_cls_sup: 0.03795 loss_rpn_loc_sup: 0.317 loss_cls_unsup: 0.2693 loss_box_reg_unsup: 0.5699 loss_rpn_cls_unsup: 0.3448 loss_rpn_loc_unsup: 0.6029 time: 6.1381 data_time: 0.8065 lr: 0.016 max_mem: 18367M [10/26 19:58:21] d2.utils.events INFO: eta: 5:12:39 iter: 27019 total_loss: 2.637 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03864 loss_box_reg_sup: 0.3433 loss_rpn_cls_sup: 0.03275 loss_rpn_loc_sup: 0.3098 loss_cls_unsup: 0.28 loss_box_reg_unsup: 0.555 loss_rpn_cls_unsup: 0.3782 loss_rpn_loc_unsup: 0.6851 time: 6.1384 data_time: 0.8130 lr: 0.016 max_mem: 18367M [10/26 20:00:34] d2.utils.events INFO: eta: 5:10:33 iter: 27039 total_loss: 2.688 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0372 loss_box_reg_sup: 0.3621 loss_rpn_cls_sup: 0.03262 loss_rpn_loc_sup: 0.3132 loss_cls_unsup: 0.2794 loss_box_reg_unsup: 0.5654 loss_rpn_cls_unsup: 0.3555 loss_rpn_loc_unsup: 0.6891 time: 6.1388 data_time: 0.8282 lr: 0.016 max_mem: 18367M [10/26 20:02:43] d2.utils.events INFO: eta: 5:08:25 iter: 27059 total_loss: 2.682 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03456 loss_box_reg_sup: 0.3168 loss_rpn_cls_sup: 0.03625 loss_rpn_loc_sup: 0.3067 loss_cls_unsup: 0.2764 loss_box_reg_unsup: 0.5933 loss_rpn_cls_unsup: 0.3699 loss_rpn_loc_unsup: 0.7064 time: 6.1390 data_time: 0.7931 lr: 0.016 max_mem: 18367M [10/26 20:04:54] d2.utils.events INFO: eta: 5:06:23 iter: 27079 total_loss: 2.653 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0422 loss_box_reg_sup: 0.3594 loss_rpn_cls_sup: 0.03548 loss_rpn_loc_sup: 0.3245 loss_cls_unsup: 0.3032 loss_box_reg_unsup: 0.5619 loss_rpn_cls_unsup: 0.3826 loss_rpn_loc_unsup: 0.6707 time: 6.1393 data_time: 0.8456 lr: 0.016 max_mem: 18367M [10/26 20:06:58] d2.utils.events INFO: eta: 5:04:18 iter: 27099 total_loss: 2.571 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0365 loss_box_reg_sup: 0.3369 loss_rpn_cls_sup: 0.03169 loss_rpn_loc_sup: 0.2884 loss_cls_unsup: 0.2751 loss_box_reg_unsup: 0.5657 loss_rpn_cls_unsup: 0.3685 loss_rpn_loc_unsup: 0.6213 time: 6.1393 data_time: 0.7800 lr: 0.016 max_mem: 18367M [10/26 20:09:04] d2.utils.events INFO: eta: 5:02:12 iter: 27119 total_loss: 2.733 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03934 loss_box_reg_sup: 0.3593 loss_rpn_cls_sup: 0.03797 loss_rpn_loc_sup: 0.293 loss_cls_unsup: 0.2847 loss_box_reg_unsup: 0.6127 loss_rpn_cls_unsup: 0.3973 loss_rpn_loc_unsup: 0.7013 time: 6.1395 data_time: 0.8045 lr: 0.016 max_mem: 18367M [10/26 20:11:11] d2.utils.events INFO: eta: 5:00:09 iter: 27139 total_loss: 2.713 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0401 loss_box_reg_sup: 0.3472 loss_rpn_cls_sup: 0.03791 loss_rpn_loc_sup: 0.3162 loss_cls_unsup: 0.2876 loss_box_reg_unsup: 0.5941 loss_rpn_cls_unsup: 0.3874 loss_rpn_loc_unsup: 0.6904 time: 6.1396 data_time: 0.8081 lr: 0.016 max_mem: 18367M [10/26 20:13:17] d2.utils.events INFO: eta: 4:58:02 iter: 27159 total_loss: 2.639 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03878 loss_box_reg_sup: 0.3733 loss_rpn_cls_sup: 0.03403 loss_rpn_loc_sup: 0.3301 loss_cls_unsup: 0.2862 loss_box_reg_unsup: 0.5654 loss_rpn_cls_unsup: 0.3641 loss_rpn_loc_unsup: 0.6223 time: 6.1397 data_time: 0.8097 lr: 0.016 max_mem: 18367M [10/26 20:15:24] d2.utils.events INFO: eta: 4:55:57 iter: 27179 total_loss: 2.574 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03574 loss_box_reg_sup: 0.3446 loss_rpn_cls_sup: 0.03317 loss_rpn_loc_sup: 0.314 loss_cls_unsup: 0.2766 loss_box_reg_unsup: 0.5442 loss_rpn_cls_unsup: 0.3844 loss_rpn_loc_unsup: 0.6354 time: 6.1399 data_time: 0.8318 lr: 0.016 max_mem: 18367M [10/26 20:17:36] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 20:17:37] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 20:17:37] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 20:17:37] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 20:17:38] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0011 s/iter. Inference: 0.0498 s/iter. Eval: 0.0006 s/iter. Total: 0.0515 s/iter. ETA=0:04:30 [10/26 20:17:43] d2.evaluation.evaluator INFO: Inference done 137/5258. Dataloading: 0.0012 s/iter. Inference: 0.0386 s/iter. Eval: 0.0006 s/iter. Total: 0.0405 s/iter. ETA=0:03:27 [10/26 20:17:48] d2.evaluation.evaluator INFO: Inference done 240/5258. Dataloading: 0.0013 s/iter. Inference: 0.0422 s/iter. Eval: 0.0006 s/iter. Total: 0.0441 s/iter. ETA=0:03:41 [10/26 20:17:53] d2.evaluation.evaluator INFO: Inference done 358/5258. Dataloading: 0.0013 s/iter. 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ETA=0:02:59 [10/26 20:18:23] d2.evaluation.evaluator INFO: Inference done 1088/5258. Dataloading: 0.0012 s/iter. Inference: 0.0403 s/iter. Eval: 0.0006 s/iter. Total: 0.0420 s/iter. ETA=0:02:55 [10/26 20:18:28] d2.evaluation.evaluator INFO: Inference done 1199/5258. Dataloading: 0.0012 s/iter. Inference: 0.0406 s/iter. Eval: 0.0006 s/iter. Total: 0.0423 s/iter. ETA=0:02:51 [10/26 20:18:33] d2.evaluation.evaluator INFO: Inference done 1320/5258. Dataloading: 0.0012 s/iter. Inference: 0.0405 s/iter. Eval: 0.0006 s/iter. Total: 0.0423 s/iter. ETA=0:02:46 [10/26 20:18:38] d2.evaluation.evaluator INFO: Inference done 1437/5258. Dataloading: 0.0012 s/iter. Inference: 0.0406 s/iter. Eval: 0.0006 s/iter. Total: 0.0423 s/iter. ETA=0:02:41 [10/26 20:18:43] d2.evaluation.evaluator INFO: Inference done 1558/5258. Dataloading: 0.0012 s/iter. Inference: 0.0405 s/iter. Eval: 0.0006 s/iter. Total: 0.0423 s/iter. ETA=0:02:36 [10/26 20:18:48] d2.evaluation.evaluator INFO: Inference done 1684/5258. 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ETA=0:00:15 [10/26 20:21:04] d2.evaluation.evaluator INFO: Inference done 5006/5258. Dataloading: 0.0011 s/iter. Inference: 0.0395 s/iter. Eval: 0.0006 s/iter. Total: 0.0412 s/iter. ETA=0:00:10 [10/26 20:21:09] d2.evaluation.evaluator INFO: Inference done 5133/5258. Dataloading: 0.0011 s/iter. Inference: 0.0394 s/iter. Eval: 0.0006 s/iter. Total: 0.0412 s/iter. ETA=0:00:05 [10/26 20:21:14] d2.evaluation.evaluator INFO: Inference done 5249/5258. Dataloading: 0.0011 s/iter. Inference: 0.0395 s/iter. Eval: 0.0006 s/iter. Total: 0.0412 s/iter. ETA=0:00:00 [10/26 20:21:14] d2.evaluation.evaluator INFO: Total inference time: 0:03:36.764104 (0.041265 s / iter per device, on 1 devices) [10/26 20:21:14] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:27 (0.039509 s / iter per device, on 1 devices) [10/26 20:21:14] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 20:22:45] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 20:22:45] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 20:22:45] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 20:22:45] d2.evaluation.testing INFO: copypaste: 5.8484,12.8736,4.9929 [10/26 20:22:47] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 20:22:47] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 20:22:47] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 20:22:47] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 20:22:48] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:04:20 [10/26 20:22:53] d2.evaluation.evaluator INFO: Inference done 112/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:04:16 [10/26 20:22:58] d2.evaluation.evaluator INFO: Inference done 214/5258. Dataloading: 0.0011 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:04:10 [10/26 20:23:03] d2.evaluation.evaluator INFO: Inference done 314/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:04:06 [10/26 20:23:08] d2.evaluation.evaluator INFO: Inference done 415/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:04:00 [10/26 20:23:13] d2.evaluation.evaluator INFO: Inference done 516/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:56 [10/26 20:23:18] d2.evaluation.evaluator INFO: Inference done 619/5258. 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ETA=0:00:18 [10/26 20:26:54] d2.evaluation.evaluator INFO: Inference done 4978/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:13 [10/26 20:26:59] d2.evaluation.evaluator INFO: Inference done 5079/5258. Dataloading: 0.0011 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:08 [10/26 20:27:04] d2.evaluation.evaluator INFO: Inference done 5182/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:00:03 [10/26 20:27:08] d2.evaluation.evaluator INFO: Total inference time: 0:04:20.324383 (0.049557 s / iter per device, on 1 devices) [10/26 20:27:08] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:12 (0.047992 s / iter per device, on 1 devices) [10/26 20:27:08] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 20:28:17] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 20:28:17] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 20:28:17] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 20:28:17] d2.evaluation.testing INFO: copypaste: 6.1901,13.1709,5.5743 [10/26 20:28:17] d2.utils.events INFO: eta: 4:53:48 iter: 27199 total_loss: 2.622 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03918 loss_box_reg_sup: 0.3513 loss_rpn_cls_sup: 0.03153 loss_rpn_loc_sup: 0.2995 loss_cls_unsup: 0.287 loss_box_reg_unsup: 0.5918 loss_rpn_cls_unsup: 0.3614 loss_rpn_loc_unsup: 0.6426 time: 6.1400 data_time: 0.8325 lr: 0.016 max_mem: 18367M [10/26 20:30:22] d2.utils.events INFO: eta: 4:51:39 iter: 27219 total_loss: 2.636 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04223 loss_box_reg_sup: 0.3492 loss_rpn_cls_sup: 0.03407 loss_rpn_loc_sup: 0.311 loss_cls_unsup: 0.2793 loss_box_reg_unsup: 0.5786 loss_rpn_cls_unsup: 0.3878 loss_rpn_loc_unsup: 0.6938 time: 6.1401 data_time: 0.8416 lr: 0.016 max_mem: 18367M [10/26 20:32:28] d2.utils.events INFO: eta: 4:49:33 iter: 27239 total_loss: 2.647 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03894 loss_box_reg_sup: 0.3604 loss_rpn_cls_sup: 0.03323 loss_rpn_loc_sup: 0.3122 loss_cls_unsup: 0.2642 loss_box_reg_unsup: 0.5715 loss_rpn_cls_unsup: 0.375 loss_rpn_loc_unsup: 0.7013 time: 6.1402 data_time: 0.8539 lr: 0.016 max_mem: 18367M [10/26 20:34:34] d2.utils.events INFO: eta: 4:47:25 iter: 27259 total_loss: 2.631 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03488 loss_box_reg_sup: 0.3376 loss_rpn_cls_sup: 0.033 loss_rpn_loc_sup: 0.2907 loss_cls_unsup: 0.2864 loss_box_reg_unsup: 0.5624 loss_rpn_cls_unsup: 0.3776 loss_rpn_loc_unsup: 0.7242 time: 6.1403 data_time: 0.8089 lr: 0.016 max_mem: 18367M [10/26 20:36:38] d2.utils.events INFO: eta: 4:45:10 iter: 27279 total_loss: 2.716 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04234 loss_box_reg_sup: 0.3442 loss_rpn_cls_sup: 0.03632 loss_rpn_loc_sup: 0.328 loss_cls_unsup: 0.2752 loss_box_reg_unsup: 0.5739 loss_rpn_cls_unsup: 0.3938 loss_rpn_loc_unsup: 0.6793 time: 6.1404 data_time: 0.8336 lr: 0.016 max_mem: 18367M [10/26 20:38:43] d2.utils.events INFO: eta: 4:43:00 iter: 27299 total_loss: 2.692 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03843 loss_box_reg_sup: 0.3545 loss_rpn_cls_sup: 0.03688 loss_rpn_loc_sup: 0.324 loss_cls_unsup: 0.273 loss_box_reg_unsup: 0.5761 loss_rpn_cls_unsup: 0.3658 loss_rpn_loc_unsup: 0.701 time: 6.1404 data_time: 0.7784 lr: 0.016 max_mem: 18367M [10/26 20:40:48] d2.utils.events INFO: eta: 4:40:49 iter: 27319 total_loss: 2.703 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04203 loss_box_reg_sup: 0.3777 loss_rpn_cls_sup: 0.03513 loss_rpn_loc_sup: 0.3252 loss_cls_unsup: 0.2799 loss_box_reg_unsup: 0.5598 loss_rpn_cls_unsup: 0.3822 loss_rpn_loc_unsup: 0.6839 time: 6.1405 data_time: 0.8225 lr: 0.016 max_mem: 18367M [10/26 20:42:55] d2.utils.events INFO: eta: 4:38:43 iter: 27339 total_loss: 2.67 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03762 loss_box_reg_sup: 0.3559 loss_rpn_cls_sup: 0.03579 loss_rpn_loc_sup: 0.3203 loss_cls_unsup: 0.298 loss_box_reg_unsup: 0.5729 loss_rpn_cls_unsup: 0.377 loss_rpn_loc_unsup: 0.6845 time: 6.1407 data_time: 0.8359 lr: 0.016 max_mem: 18367M [10/26 20:45:03] d2.utils.events INFO: eta: 4:36:36 iter: 27359 total_loss: 2.712 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03925 loss_box_reg_sup: 0.35 loss_rpn_cls_sup: 0.03904 loss_rpn_loc_sup: 0.302 loss_cls_unsup: 0.2886 loss_box_reg_unsup: 0.6141 loss_rpn_cls_unsup: 0.3844 loss_rpn_loc_unsup: 0.7055 time: 6.1409 data_time: 0.8179 lr: 0.016 max_mem: 18367M [10/26 20:47:10] d2.utils.events INFO: eta: 4:34:29 iter: 27379 total_loss: 2.809 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04039 loss_box_reg_sup: 0.373 loss_rpn_cls_sup: 0.03671 loss_rpn_loc_sup: 0.3223 loss_cls_unsup: 0.2965 loss_box_reg_unsup: 0.6184 loss_rpn_cls_unsup: 0.3844 loss_rpn_loc_unsup: 0.7421 time: 6.1410 data_time: 0.8127 lr: 0.016 max_mem: 18367M [10/26 20:49:17] d2.utils.events INFO: eta: 4:32:23 iter: 27399 total_loss: 2.605 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03692 loss_box_reg_sup: 0.3419 loss_rpn_cls_sup: 0.03529 loss_rpn_loc_sup: 0.3079 loss_cls_unsup: 0.2899 loss_box_reg_unsup: 0.5582 loss_rpn_cls_unsup: 0.3654 loss_rpn_loc_unsup: 0.7087 time: 6.1412 data_time: 0.8645 lr: 0.016 max_mem: 18367M [10/26 20:51:24] d2.utils.events INFO: eta: 4:30:17 iter: 27419 total_loss: 2.598 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03777 loss_box_reg_sup: 0.355 loss_rpn_cls_sup: 0.0353 loss_rpn_loc_sup: 0.3066 loss_cls_unsup: 0.2877 loss_box_reg_unsup: 0.5787 loss_rpn_cls_unsup: 0.3583 loss_rpn_loc_unsup: 0.6959 time: 6.1413 data_time: 0.8268 lr: 0.016 max_mem: 18367M [10/26 20:53:31] d2.utils.events INFO: eta: 4:28:18 iter: 27439 total_loss: 2.684 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03804 loss_box_reg_sup: 0.3492 loss_rpn_cls_sup: 0.03524 loss_rpn_loc_sup: 0.2837 loss_cls_unsup: 0.2884 loss_box_reg_unsup: 0.5898 loss_rpn_cls_unsup: 0.3925 loss_rpn_loc_unsup: 0.6961 time: 6.1415 data_time: 0.8238 lr: 0.016 max_mem: 18367M [10/26 20:55:37] d2.utils.events INFO: eta: 4:26:14 iter: 27459 total_loss: 2.577 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03379 loss_box_reg_sup: 0.3268 loss_rpn_cls_sup: 0.03524 loss_rpn_loc_sup: 0.2975 loss_cls_unsup: 0.2789 loss_box_reg_unsup: 0.566 loss_rpn_cls_unsup: 0.3579 loss_rpn_loc_unsup: 0.6594 time: 6.1416 data_time: 0.8243 lr: 0.016 max_mem: 18367M [10/26 20:57:49] d2.utils.events INFO: eta: 4:24:14 iter: 27479 total_loss: 2.695 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04002 loss_box_reg_sup: 0.3693 loss_rpn_cls_sup: 0.03667 loss_rpn_loc_sup: 0.3344 loss_cls_unsup: 0.2923 loss_box_reg_unsup: 0.5659 loss_rpn_cls_unsup: 0.3753 loss_rpn_loc_unsup: 0.6751 time: 6.1419 data_time: 0.8376 lr: 0.016 max_mem: 18367M [10/26 21:00:05] d2.utils.events INFO: eta: 4:22:09 iter: 27499 total_loss: 2.718 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03874 loss_box_reg_sup: 0.3679 loss_rpn_cls_sup: 0.03348 loss_rpn_loc_sup: 0.3159 loss_cls_unsup: 0.2835 loss_box_reg_unsup: 0.5655 loss_rpn_cls_unsup: 0.3813 loss_rpn_loc_unsup: 0.7667 time: 6.1424 data_time: 0.8144 lr: 0.016 max_mem: 18367M [10/26 21:02:13] d2.utils.events INFO: eta: 4:20:03 iter: 27519 total_loss: 2.672 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0374 loss_box_reg_sup: 0.3713 loss_rpn_cls_sup: 0.0324 loss_rpn_loc_sup: 0.3108 loss_cls_unsup: 0.2896 loss_box_reg_unsup: 0.5632 loss_rpn_cls_unsup: 0.3829 loss_rpn_loc_unsup: 0.677 time: 6.1426 data_time: 0.8311 lr: 0.016 max_mem: 18367M [10/26 21:04:23] d2.utils.events INFO: eta: 4:17:59 iter: 27539 total_loss: 2.695 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04274 loss_box_reg_sup: 0.3752 loss_rpn_cls_sup: 0.03742 loss_rpn_loc_sup: 0.3305 loss_cls_unsup: 0.3019 loss_box_reg_unsup: 0.5769 loss_rpn_cls_unsup: 0.3777 loss_rpn_loc_unsup: 0.627 time: 6.1428 data_time: 0.8353 lr: 0.016 max_mem: 18367M [10/26 21:06:33] d2.utils.events INFO: eta: 4:15:56 iter: 27559 total_loss: 2.554 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03825 loss_box_reg_sup: 0.3538 loss_rpn_cls_sup: 0.03342 loss_rpn_loc_sup: 0.3054 loss_cls_unsup: 0.2733 loss_box_reg_unsup: 0.5658 loss_rpn_cls_unsup: 0.3337 loss_rpn_loc_unsup: 0.6177 time: 6.1431 data_time: 0.8257 lr: 0.016 max_mem: 18367M [10/26 21:08:41] d2.utils.events INFO: eta: 4:13:50 iter: 27579 total_loss: 2.62 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03972 loss_box_reg_sup: 0.3589 loss_rpn_cls_sup: 0.0328 loss_rpn_loc_sup: 0.3172 loss_cls_unsup: 0.2646 loss_box_reg_unsup: 0.5655 loss_rpn_cls_unsup: 0.3586 loss_rpn_loc_unsup: 0.7053 time: 6.1433 data_time: 0.8021 lr: 0.016 max_mem: 18367M [10/26 21:10:55] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 21:10:55] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 21:10:55] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 21:10:55] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 21:10:57] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0527 s/iter. Eval: 0.0006 s/iter. Total: 0.0542 s/iter. ETA=0:04:44 [10/26 21:11:02] d2.evaluation.evaluator INFO: Inference done 130/5258. Dataloading: 0.0011 s/iter. Inference: 0.0411 s/iter. Eval: 0.0005 s/iter. Total: 0.0427 s/iter. ETA=0:03:39 [10/26 21:11:07] d2.evaluation.evaluator INFO: Inference done 252/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0006 s/iter. Total: 0.0419 s/iter. ETA=0:03:29 [10/26 21:11:12] d2.evaluation.evaluator INFO: Inference done 371/5258. Dataloading: 0.0011 s/iter. 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ETA=0:02:56 [10/26 21:11:42] d2.evaluation.evaluator INFO: Inference done 1108/5258. Dataloading: 0.0010 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:02:51 [10/26 21:11:47] d2.evaluation.evaluator INFO: Inference done 1221/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:02:47 [10/26 21:11:52] d2.evaluation.evaluator INFO: Inference done 1331/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:02:44 [10/26 21:11:57] d2.evaluation.evaluator INFO: Inference done 1446/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:02:40 [10/26 21:12:02] d2.evaluation.evaluator INFO: Inference done 1562/5258. Dataloading: 0.0010 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:02:35 [10/26 21:12:07] d2.evaluation.evaluator INFO: Inference done 1685/5258. 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ETA=0:01:39 [10/26 21:13:02] d2.evaluation.evaluator INFO: Inference done 3014/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:01:33 [10/26 21:13:07] d2.evaluation.evaluator INFO: Inference done 3138/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:01:28 [10/26 21:13:12] d2.evaluation.evaluator INFO: Inference done 3258/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:01:23 [10/26 21:13:17] d2.evaluation.evaluator INFO: Inference done 3373/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:01:18 [10/26 21:13:22] d2.evaluation.evaluator INFO: Inference done 3478/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:01:14 [10/26 21:13:27] d2.evaluation.evaluator INFO: Inference done 3597/5258. Dataloading: 0.0010 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:01:09 [10/26 21:13:32] d2.evaluation.evaluator INFO: Inference done 3724/5258. Dataloading: 0.0010 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:01:04 [10/26 21:13:37] d2.evaluation.evaluator INFO: Inference done 3853/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:58 [10/26 21:13:42] d2.evaluation.evaluator INFO: Inference done 3981/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:00:53 [10/26 21:13:47] d2.evaluation.evaluator INFO: Inference done 4106/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:00:48 [10/26 21:13:52] d2.evaluation.evaluator INFO: Inference done 4228/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. 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ETA=0:00:17 [10/26 21:14:23] d2.evaluation.evaluator INFO: Inference done 4972/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:00:11 [10/26 21:14:28] d2.evaluation.evaluator INFO: Inference done 5100/5258. Dataloading: 0.0010 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:00:06 [10/26 21:14:33] d2.evaluation.evaluator INFO: Inference done 5226/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:00:01 [10/26 21:14:34] d2.evaluation.evaluator INFO: Total inference time: 0:03:37.707241 (0.041444 s / iter per device, on 1 devices) [10/26 21:14:34] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:29 (0.039843 s / iter per device, on 1 devices) [10/26 21:14:34] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 21:15:59] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 21:15:59] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 21:15:59] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 21:15:59] d2.evaluation.testing INFO: copypaste: 5.8978,12.8089,5.0937 [10/26 21:16:01] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 21:16:01] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 21:16:01] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 21:16:01] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 21:16:02] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0482 s/iter. Eval: 0.0006 s/iter. Total: 0.0496 s/iter. ETA=0:04:20 [10/26 21:16:07] d2.evaluation.evaluator INFO: Inference done 114/5258. Dataloading: 0.0010 s/iter. Inference: 0.0472 s/iter. Eval: 0.0005 s/iter. Total: 0.0487 s/iter. ETA=0:04:10 [10/26 21:16:12] d2.evaluation.evaluator INFO: Inference done 216/5258. Dataloading: 0.0010 s/iter. Inference: 0.0475 s/iter. Eval: 0.0005 s/iter. Total: 0.0490 s/iter. ETA=0:04:07 [10/26 21:16:17] d2.evaluation.evaluator INFO: Inference done 316/5258. Dataloading: 0.0011 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:04:03 [10/26 21:16:22] d2.evaluation.evaluator INFO: Inference done 418/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:58 [10/26 21:16:27] d2.evaluation.evaluator INFO: Inference done 520/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:03:53 [10/26 21:16:32] d2.evaluation.evaluator INFO: Inference done 621/5258. 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ETA=0:00:18 [10/26 21:20:08] d2.evaluation.evaluator INFO: Inference done 4978/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:13 [10/26 21:20:13] d2.evaluation.evaluator INFO: Inference done 5080/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:08 [10/26 21:20:18] d2.evaluation.evaluator INFO: Inference done 5183/5258. Dataloading: 0.0010 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:00:03 [10/26 21:20:22] d2.evaluation.evaluator INFO: Total inference time: 0:04:20.077794 (0.049510 s / iter per device, on 1 devices) [10/26 21:20:22] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:11 (0.047964 s / iter per device, on 1 devices) [10/26 21:20:22] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 21:21:32] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 21:21:32] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 21:21:32] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 21:21:32] d2.evaluation.testing INFO: copypaste: 6.1904,13.1493,5.5752 [10/26 21:21:32] d2.utils.events INFO: eta: 4:11:45 iter: 27599 total_loss: 2.579 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03571 loss_box_reg_sup: 0.327 loss_rpn_cls_sup: 0.03279 loss_rpn_loc_sup: 0.2969 loss_cls_unsup: 0.2726 loss_box_reg_unsup: 0.5657 loss_rpn_cls_unsup: 0.3385 loss_rpn_loc_unsup: 0.6725 time: 6.1435 data_time: 0.8080 lr: 0.016 max_mem: 18367M [10/26 21:23:39] d2.utils.events INFO: eta: 4:09:38 iter: 27619 total_loss: 2.519 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0415 loss_box_reg_sup: 0.3289 loss_rpn_cls_sup: 0.03412 loss_rpn_loc_sup: 0.3106 loss_cls_unsup: 0.2737 loss_box_reg_unsup: 0.5771 loss_rpn_cls_unsup: 0.3336 loss_rpn_loc_unsup: 0.6033 time: 6.1436 data_time: 0.8067 lr: 0.016 max_mem: 18367M [10/26 21:25:49] d2.utils.events INFO: eta: 4:07:34 iter: 27639 total_loss: 2.574 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03619 loss_box_reg_sup: 0.3323 loss_rpn_cls_sup: 0.03289 loss_rpn_loc_sup: 0.2887 loss_cls_unsup: 0.2921 loss_box_reg_unsup: 0.5515 loss_rpn_cls_unsup: 0.3745 loss_rpn_loc_unsup: 0.648 time: 6.1439 data_time: 0.8121 lr: 0.016 max_mem: 18367M [10/26 21:27:57] d2.utils.events INFO: eta: 4:05:28 iter: 27659 total_loss: 2.737 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04114 loss_box_reg_sup: 0.3842 loss_rpn_cls_sup: 0.0412 loss_rpn_loc_sup: 0.329 loss_cls_unsup: 0.2864 loss_box_reg_unsup: 0.5651 loss_rpn_cls_unsup: 0.377 loss_rpn_loc_unsup: 0.7163 time: 6.1441 data_time: 0.8485 lr: 0.016 max_mem: 18367M [10/26 21:30:05] d2.utils.events INFO: eta: 4:03:24 iter: 27679 total_loss: 2.59 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03691 loss_box_reg_sup: 0.3451 loss_rpn_cls_sup: 0.03026 loss_rpn_loc_sup: 0.298 loss_cls_unsup: 0.2817 loss_box_reg_unsup: 0.5797 loss_rpn_cls_unsup: 0.3889 loss_rpn_loc_unsup: 0.6448 time: 6.1442 data_time: 0.8402 lr: 0.016 max_mem: 18367M [10/26 21:32:11] d2.utils.events INFO: eta: 4:01:17 iter: 27699 total_loss: 2.624 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0335 loss_box_reg_sup: 0.298 loss_rpn_cls_sup: 0.03034 loss_rpn_loc_sup: 0.2998 loss_cls_unsup: 0.2823 loss_box_reg_unsup: 0.5526 loss_rpn_cls_unsup: 0.3776 loss_rpn_loc_unsup: 0.661 time: 6.1444 data_time: 0.8178 lr: 0.016 max_mem: 18367M [10/26 21:34:21] d2.utils.events INFO: eta: 3:59:09 iter: 27719 total_loss: 2.658 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03675 loss_box_reg_sup: 0.3516 loss_rpn_cls_sup: 0.03535 loss_rpn_loc_sup: 0.3054 loss_cls_unsup: 0.2804 loss_box_reg_unsup: 0.6002 loss_rpn_cls_unsup: 0.3748 loss_rpn_loc_unsup: 0.6895 time: 6.1446 data_time: 0.7847 lr: 0.016 max_mem: 18367M [10/26 21:36:31] d2.utils.events INFO: eta: 3:57:02 iter: 27739 total_loss: 2.671 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04011 loss_box_reg_sup: 0.3487 loss_rpn_cls_sup: 0.03406 loss_rpn_loc_sup: 0.3112 loss_cls_unsup: 0.2925 loss_box_reg_unsup: 0.5966 loss_rpn_cls_unsup: 0.3775 loss_rpn_loc_unsup: 0.6812 time: 6.1449 data_time: 0.8254 lr: 0.016 max_mem: 18367M [10/26 21:38:46] d2.utils.events INFO: eta: 3:54:54 iter: 27759 total_loss: 2.685 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03977 loss_box_reg_sup: 0.3461 loss_rpn_cls_sup: 0.03624 loss_rpn_loc_sup: 0.3029 loss_cls_unsup: 0.2701 loss_box_reg_unsup: 0.5806 loss_rpn_cls_unsup: 0.3865 loss_rpn_loc_unsup: 0.6941 time: 6.1453 data_time: 0.8186 lr: 0.016 max_mem: 18367M [10/26 21:40:55] d2.utils.events INFO: eta: 3:52:51 iter: 27779 total_loss: 2.649 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04118 loss_box_reg_sup: 0.3576 loss_rpn_cls_sup: 0.0334 loss_rpn_loc_sup: 0.2966 loss_cls_unsup: 0.2818 loss_box_reg_unsup: 0.5695 loss_rpn_cls_unsup: 0.3695 loss_rpn_loc_unsup: 0.675 time: 6.1455 data_time: 0.8367 lr: 0.016 max_mem: 18367M [10/26 21:43:09] d2.utils.events INFO: eta: 3:50:45 iter: 27799 total_loss: 2.708 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03839 loss_box_reg_sup: 0.3417 loss_rpn_cls_sup: 0.0335 loss_rpn_loc_sup: 0.3037 loss_cls_unsup: 0.305 loss_box_reg_unsup: 0.5896 loss_rpn_cls_unsup: 0.4076 loss_rpn_loc_unsup: 0.7172 time: 6.1459 data_time: 0.8297 lr: 0.016 max_mem: 18367M [10/26 21:45:22] d2.utils.events INFO: eta: 3:48:39 iter: 27819 total_loss: 2.547 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04027 loss_box_reg_sup: 0.3752 loss_rpn_cls_sup: 0.03295 loss_rpn_loc_sup: 0.3137 loss_cls_unsup: 0.2763 loss_box_reg_unsup: 0.571 loss_rpn_cls_unsup: 0.3539 loss_rpn_loc_unsup: 0.6321 time: 6.1463 data_time: 0.7900 lr: 0.016 max_mem: 18367M [10/26 21:47:29] d2.utils.events INFO: eta: 3:46:30 iter: 27839 total_loss: 2.647 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04387 loss_box_reg_sup: 0.3876 loss_rpn_cls_sup: 0.03693 loss_rpn_loc_sup: 0.3259 loss_cls_unsup: 0.2957 loss_box_reg_unsup: 0.5639 loss_rpn_cls_unsup: 0.3596 loss_rpn_loc_unsup: 0.657 time: 6.1464 data_time: 0.8131 lr: 0.016 max_mem: 18367M [10/26 21:49:38] d2.utils.events INFO: eta: 3:44:18 iter: 27859 total_loss: 2.585 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03652 loss_box_reg_sup: 0.3437 loss_rpn_cls_sup: 0.03453 loss_rpn_loc_sup: 0.3119 loss_cls_unsup: 0.27 loss_box_reg_unsup: 0.5625 loss_rpn_cls_unsup: 0.3891 loss_rpn_loc_unsup: 0.7024 time: 6.1466 data_time: 0.7935 lr: 0.016 max_mem: 18367M [10/26 21:51:43] d2.utils.events INFO: eta: 3:42:10 iter: 27879 total_loss: 2.707 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04189 loss_box_reg_sup: 0.3516 loss_rpn_cls_sup: 0.03748 loss_rpn_loc_sup: 0.3029 loss_cls_unsup: 0.2919 loss_box_reg_unsup: 0.5846 loss_rpn_cls_unsup: 0.3646 loss_rpn_loc_unsup: 0.6759 time: 6.1467 data_time: 0.8155 lr: 0.016 max_mem: 18367M [10/26 21:53:48] d2.utils.events INFO: eta: 3:39:57 iter: 27899 total_loss: 2.623 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03821 loss_box_reg_sup: 0.3583 loss_rpn_cls_sup: 0.03237 loss_rpn_loc_sup: 0.3115 loss_cls_unsup: 0.2935 loss_box_reg_unsup: 0.5794 loss_rpn_cls_unsup: 0.3631 loss_rpn_loc_unsup: 0.6265 time: 6.1468 data_time: 0.7858 lr: 0.016 max_mem: 18367M [10/26 21:56:01] d2.utils.events INFO: eta: 3:37:57 iter: 27919 total_loss: 2.748 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03821 loss_box_reg_sup: 0.365 loss_rpn_cls_sup: 0.03568 loss_rpn_loc_sup: 0.3225 loss_cls_unsup: 0.289 loss_box_reg_unsup: 0.5649 loss_rpn_cls_unsup: 0.3831 loss_rpn_loc_unsup: 0.701 time: 6.1472 data_time: 0.8571 lr: 0.016 max_mem: 18367M [10/26 21:58:10] d2.utils.events INFO: eta: 3:35:52 iter: 27939 total_loss: 2.726 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03678 loss_box_reg_sup: 0.3503 loss_rpn_cls_sup: 0.03889 loss_rpn_loc_sup: 0.3133 loss_cls_unsup: 0.2714 loss_box_reg_unsup: 0.5597 loss_rpn_cls_unsup: 0.3937 loss_rpn_loc_unsup: 0.7473 time: 6.1474 data_time: 0.8360 lr: 0.016 max_mem: 18367M [10/26 22:00:19] d2.utils.events INFO: eta: 3:33:50 iter: 27959 total_loss: 2.623 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03761 loss_box_reg_sup: 0.3474 loss_rpn_cls_sup: 0.03271 loss_rpn_loc_sup: 0.3027 loss_cls_unsup: 0.2921 loss_box_reg_unsup: 0.5946 loss_rpn_cls_unsup: 0.389 loss_rpn_loc_unsup: 0.6447 time: 6.1476 data_time: 0.8458 lr: 0.016 max_mem: 18367M [10/26 22:02:25] d2.utils.events INFO: eta: 3:31:47 iter: 27979 total_loss: 2.732 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04484 loss_box_reg_sup: 0.3676 loss_rpn_cls_sup: 0.03989 loss_rpn_loc_sup: 0.3254 loss_cls_unsup: 0.2863 loss_box_reg_unsup: 0.593 loss_rpn_cls_unsup: 0.3819 loss_rpn_loc_unsup: 0.6753 time: 6.1477 data_time: 0.8104 lr: 0.016 max_mem: 18367M [10/26 22:04:32] fvcore.common.checkpoint INFO: Saving checkpoint to ./output/k2bdd/model_0027999.pth [10/26 22:04:40] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 22:04:40] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 22:04:40] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 22:04:40] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 22:04:41] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0434 s/iter. Eval: 0.0006 s/iter. Total: 0.0450 s/iter. ETA=0:03:56 [10/26 22:04:46] d2.evaluation.evaluator INFO: Inference done 136/5258. Dataloading: 0.0011 s/iter. Inference: 0.0386 s/iter. Eval: 0.0005 s/iter. Total: 0.0403 s/iter. ETA=0:03:26 [10/26 22:04:51] d2.evaluation.evaluator INFO: Inference done 262/5258. Dataloading: 0.0011 s/iter. Inference: 0.0384 s/iter. Eval: 0.0005 s/iter. Total: 0.0400 s/iter. ETA=0:03:19 [10/26 22:04:56] d2.evaluation.evaluator INFO: Inference done 380/5258. Dataloading: 0.0011 s/iter. Inference: 0.0391 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:03:18 [10/26 22:05:01] d2.evaluation.evaluator INFO: Inference done 501/5258. Dataloading: 0.0011 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:03:14 [10/26 22:05:06] d2.evaluation.evaluator INFO: Inference done 622/5258. Dataloading: 0.0011 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:03:10 [10/26 22:05:11] d2.evaluation.evaluator INFO: Inference done 746/5258. Dataloading: 0.0011 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:03:04 [10/26 22:05:16] d2.evaluation.evaluator INFO: Inference done 868/5258. Dataloading: 0.0011 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:02:59 [10/26 22:05:21] d2.evaluation.evaluator INFO: Inference done 998/5258. Dataloading: 0.0011 s/iter. Inference: 0.0391 s/iter. Eval: 0.0005 s/iter. Total: 0.0407 s/iter. ETA=0:02:53 [10/26 22:05:26] d2.evaluation.evaluator INFO: Inference done 1124/5258. Dataloading: 0.0011 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:02:47 [10/26 22:05:31] d2.evaluation.evaluator INFO: Inference done 1248/5258. Dataloading: 0.0011 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:02:42 [10/26 22:05:36] d2.evaluation.evaluator INFO: Inference done 1370/5258. Dataloading: 0.0011 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:02:37 [10/26 22:05:41] d2.evaluation.evaluator INFO: Inference done 1494/5258. Dataloading: 0.0011 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0406 s/iter. ETA=0:02:32 [10/26 22:05:46] d2.evaluation.evaluator INFO: Inference done 1613/5258. Dataloading: 0.0011 s/iter. Inference: 0.0391 s/iter. Eval: 0.0005 s/iter. Total: 0.0408 s/iter. ETA=0:02:28 [10/26 22:05:51] d2.evaluation.evaluator INFO: Inference done 1731/5258. Dataloading: 0.0011 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:02:24 [10/26 22:05:56] d2.evaluation.evaluator INFO: Inference done 1854/5258. Dataloading: 0.0011 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0409 s/iter. ETA=0:02:19 [10/26 22:06:01] d2.evaluation.evaluator INFO: Inference done 1973/5258. Dataloading: 0.0011 s/iter. Inference: 0.0393 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:02:14 [10/26 22:06:06] d2.evaluation.evaluator INFO: Inference done 2086/5258. Dataloading: 0.0011 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:02:10 [10/26 22:06:11] d2.evaluation.evaluator INFO: Inference done 2209/5258. Dataloading: 0.0011 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:02:05 [10/26 22:06:16] d2.evaluation.evaluator INFO: Inference done 2335/5258. Dataloading: 0.0011 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0410 s/iter. ETA=0:01:59 [10/26 22:06:21] d2.evaluation.evaluator INFO: Inference done 2457/5258. Dataloading: 0.0011 s/iter. Inference: 0.0394 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:01:55 [10/26 22:06:26] d2.evaluation.evaluator INFO: Inference done 2579/5258. Dataloading: 0.0011 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:01:50 [10/26 22:06:31] d2.evaluation.evaluator INFO: Inference done 2696/5258. Dataloading: 0.0011 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:01:45 [10/26 22:06:36] d2.evaluation.evaluator INFO: Inference done 2820/5258. Dataloading: 0.0011 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:01:40 [10/26 22:06:41] d2.evaluation.evaluator INFO: Inference done 2944/5258. Dataloading: 0.0011 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:01:35 [10/26 22:06:46] d2.evaluation.evaluator INFO: Inference done 3062/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:01:30 [10/26 22:06:51] d2.evaluation.evaluator INFO: Inference done 3176/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0413 s/iter. ETA=0:01:25 [10/26 22:06:56] d2.evaluation.evaluator INFO: Inference done 3297/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0413 s/iter. ETA=0:01:20 [10/26 22:07:02] d2.evaluation.evaluator INFO: Inference done 3420/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0413 s/iter. ETA=0:01:15 [10/26 22:07:07] d2.evaluation.evaluator INFO: Inference done 3543/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0413 s/iter. ETA=0:01:10 [10/26 22:07:12] d2.evaluation.evaluator INFO: Inference done 3659/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0413 s/iter. ETA=0:01:06 [10/26 22:07:17] d2.evaluation.evaluator INFO: Inference done 3781/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0413 s/iter. ETA=0:01:01 [10/26 22:07:22] d2.evaluation.evaluator INFO: Inference done 3897/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:00:56 [10/26 22:07:27] d2.evaluation.evaluator INFO: Inference done 4014/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:00:51 [10/26 22:07:32] d2.evaluation.evaluator INFO: Inference done 4135/5258. Dataloading: 0.0011 s/iter. Inference: 0.0398 s/iter. Eval: 0.0005 s/iter. Total: 0.0414 s/iter. ETA=0:00:46 [10/26 22:07:37] d2.evaluation.evaluator INFO: Inference done 4264/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0413 s/iter. ETA=0:00:41 [10/26 22:07:42] d2.evaluation.evaluator INFO: Inference done 4391/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0413 s/iter. ETA=0:00:35 [10/26 22:07:47] d2.evaluation.evaluator INFO: Inference done 4519/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:00:30 [10/26 22:07:52] d2.evaluation.evaluator INFO: Inference done 4643/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:00:25 [10/26 22:07:57] d2.evaluation.evaluator INFO: Inference done 4767/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:00:20 [10/26 22:08:02] d2.evaluation.evaluator INFO: Inference done 4887/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:00:15 [10/26 22:08:07] d2.evaluation.evaluator INFO: Inference done 5014/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0412 s/iter. ETA=0:00:10 [10/26 22:08:12] d2.evaluation.evaluator INFO: Inference done 5124/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0005 s/iter. Total: 0.0413 s/iter. ETA=0:00:05 [10/26 22:08:17] d2.evaluation.evaluator INFO: Inference done 5236/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0413 s/iter. ETA=0:00:00 [10/26 22:08:18] d2.evaluation.evaluator INFO: Total inference time: 0:03:37.131311 (0.041335 s / iter per device, on 1 devices) [10/26 22:08:18] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:28 (0.039710 s / iter per device, on 1 devices) [10/26 22:08:18] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 22:09:27] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 22:09:27] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 22:09:27] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 22:09:27] d2.evaluation.testing INFO: copypaste: 5.9733,12.9469,5.2584 [10/26 22:09:29] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 22:09:29] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 22:09:29] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 22:09:29] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 22:09:30] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0008 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:04:20 [10/26 22:09:35] d2.evaluation.evaluator INFO: Inference done 112/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:04:16 [10/26 22:09:40] d2.evaluation.evaluator INFO: Inference done 211/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:04:13 [10/26 22:09:45] d2.evaluation.evaluator INFO: Inference done 312/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:04:07 [10/26 22:09:50] d2.evaluation.evaluator INFO: Inference done 409/5258. Dataloading: 0.0011 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0504 s/iter. ETA=0:04:04 [10/26 22:09:55] d2.evaluation.evaluator INFO: Inference done 510/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:03:58 [10/26 22:10:00] d2.evaluation.evaluator INFO: Inference done 612/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:03:52 [10/26 22:10:05] d2.evaluation.evaluator INFO: Inference done 713/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:03:47 [10/26 22:10:10] d2.evaluation.evaluator INFO: Inference done 815/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:42 [10/26 22:10:15] d2.evaluation.evaluator INFO: Inference done 916/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:36 [10/26 22:10:20] d2.evaluation.evaluator INFO: Inference done 1015/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:32 [10/26 22:10:25] d2.evaluation.evaluator INFO: Inference done 1117/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:03:26 [10/26 22:10:30] d2.evaluation.evaluator INFO: Inference done 1219/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:03:21 [10/26 22:10:35] d2.evaluation.evaluator INFO: Inference done 1317/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:17 [10/26 22:10:40] d2.evaluation.evaluator INFO: Inference done 1417/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:12 [10/26 22:10:45] d2.evaluation.evaluator INFO: Inference done 1518/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:06 [10/26 22:10:50] d2.evaluation.evaluator INFO: Inference done 1619/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:01 [10/26 22:10:55] d2.evaluation.evaluator INFO: Inference done 1721/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:02:56 [10/26 22:11:00] d2.evaluation.evaluator INFO: Inference done 1821/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:02:51 [10/26 22:11:05] d2.evaluation.evaluator INFO: Inference done 1920/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:02:46 [10/26 22:11:11] d2.evaluation.evaluator INFO: Inference done 2021/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:02:41 [10/26 22:11:16] d2.evaluation.evaluator INFO: Inference done 2122/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:02:36 [10/26 22:11:21] d2.evaluation.evaluator INFO: Inference done 2224/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:02:31 [10/26 22:11:26] d2.evaluation.evaluator INFO: Inference done 2326/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:02:26 [10/26 22:11:31] d2.evaluation.evaluator INFO: Inference done 2429/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:02:21 [10/26 22:11:36] d2.evaluation.evaluator INFO: Inference done 2529/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:02:16 [10/26 22:11:41] d2.evaluation.evaluator INFO: Inference done 2629/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:02:11 [10/26 22:11:46] d2.evaluation.evaluator INFO: Inference done 2726/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:02:06 [10/26 22:11:51] d2.evaluation.evaluator INFO: Inference done 2827/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:02:01 [10/26 22:11:56] d2.evaluation.evaluator INFO: Inference done 2929/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:56 [10/26 22:12:01] d2.evaluation.evaluator INFO: Inference done 3031/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:51 [10/26 22:12:06] d2.evaluation.evaluator INFO: Inference done 3133/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:46 [10/26 22:12:11] d2.evaluation.evaluator INFO: Inference done 3233/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:41 [10/26 22:12:16] d2.evaluation.evaluator INFO: Inference done 3336/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:35 [10/26 22:12:21] d2.evaluation.evaluator INFO: Inference done 3438/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:30 [10/26 22:12:26] d2.evaluation.evaluator INFO: Inference done 3540/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:25 [10/26 22:12:31] d2.evaluation.evaluator INFO: Inference done 3642/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:20 [10/26 22:12:36] d2.evaluation.evaluator INFO: Inference done 3741/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:15 [10/26 22:12:41] d2.evaluation.evaluator INFO: Inference done 3842/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:10 [10/26 22:12:46] d2.evaluation.evaluator INFO: Inference done 3942/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:05 [10/26 22:12:51] d2.evaluation.evaluator INFO: Inference done 4044/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:00 [10/26 22:12:56] d2.evaluation.evaluator INFO: Inference done 4145/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:00:55 [10/26 22:13:01] d2.evaluation.evaluator INFO: Inference done 4245/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:00:50 [10/26 22:13:06] d2.evaluation.evaluator INFO: Inference done 4345/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:00:45 [10/26 22:13:11] d2.evaluation.evaluator INFO: Inference done 4444/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:00:40 [10/26 22:13:16] d2.evaluation.evaluator INFO: Inference done 4544/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:00:35 [10/26 22:13:21] d2.evaluation.evaluator INFO: Inference done 4645/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:00:30 [10/26 22:13:26] d2.evaluation.evaluator INFO: Inference done 4743/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:00:25 [10/26 22:13:31] d2.evaluation.evaluator INFO: Inference done 4846/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:00:20 [10/26 22:13:36] d2.evaluation.evaluator INFO: Inference done 4948/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:00:15 [10/26 22:13:41] d2.evaluation.evaluator INFO: Inference done 5050/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:00:10 [10/26 22:13:46] d2.evaluation.evaluator INFO: Inference done 5149/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:00:05 [10/26 22:13:51] d2.evaluation.evaluator INFO: Inference done 5249/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:00:00 [10/26 22:13:52] d2.evaluation.evaluator INFO: Total inference time: 0:04:22.142504 (0.049903 s / iter per device, on 1 devices) [10/26 22:13:52] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:13 (0.048282 s / iter per device, on 1 devices) [10/26 22:13:52] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 22:14:59] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 22:14:59] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 22:14:59] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 22:14:59] d2.evaluation.testing INFO: copypaste: 6.1809,13.1462,5.5860 [10/26 22:14:59] d2.utils.events INFO: eta: 3:29:45 iter: 27999 total_loss: 2.7 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04132 loss_box_reg_sup: 0.3634 loss_rpn_cls_sup: 0.03334 loss_rpn_loc_sup: 0.3099 loss_cls_unsup: 0.2836 loss_box_reg_unsup: 0.5841 loss_rpn_cls_unsup: 0.3781 loss_rpn_loc_unsup: 0.6566 time: 6.1478 data_time: 0.8334 lr: 0.016 max_mem: 18367M [10/26 22:17:07] d2.utils.events INFO: eta: 3:27:40 iter: 28019 total_loss: 2.633 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03996 loss_box_reg_sup: 0.3523 loss_rpn_cls_sup: 0.0335 loss_rpn_loc_sup: 0.3163 loss_cls_unsup: 0.2931 loss_box_reg_unsup: 0.5697 loss_rpn_cls_unsup: 0.372 loss_rpn_loc_unsup: 0.6274 time: 6.1480 data_time: 0.8513 lr: 0.016 max_mem: 18367M [10/26 22:19:15] d2.utils.events INFO: eta: 3:25:35 iter: 28039 total_loss: 2.71 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03344 loss_box_reg_sup: 0.3227 loss_rpn_cls_sup: 0.03197 loss_rpn_loc_sup: 0.2894 loss_cls_unsup: 0.2847 loss_box_reg_unsup: 0.6138 loss_rpn_cls_unsup: 0.3728 loss_rpn_loc_unsup: 0.7191 time: 6.1482 data_time: 0.8246 lr: 0.016 max_mem: 18367M [10/26 22:21:27] d2.utils.events INFO: eta: 3:23:35 iter: 28059 total_loss: 2.688 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03825 loss_box_reg_sup: 0.3827 loss_rpn_cls_sup: 0.03685 loss_rpn_loc_sup: 0.3144 loss_cls_unsup: 0.2934 loss_box_reg_unsup: 0.5943 loss_rpn_cls_unsup: 0.3791 loss_rpn_loc_unsup: 0.6573 time: 6.1485 data_time: 0.8866 lr: 0.016 max_mem: 18367M [10/26 22:23:35] d2.utils.events INFO: eta: 3:21:30 iter: 28079 total_loss: 2.614 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03743 loss_box_reg_sup: 0.3443 loss_rpn_cls_sup: 0.03193 loss_rpn_loc_sup: 0.3014 loss_cls_unsup: 0.2843 loss_box_reg_unsup: 0.5605 loss_rpn_cls_unsup: 0.3806 loss_rpn_loc_unsup: 0.6813 time: 6.1487 data_time: 0.8483 lr: 0.016 max_mem: 18367M [10/26 22:25:42] d2.utils.events INFO: eta: 3:19:30 iter: 28099 total_loss: 2.629 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03405 loss_box_reg_sup: 0.3397 loss_rpn_cls_sup: 0.03376 loss_rpn_loc_sup: 0.3121 loss_cls_unsup: 0.2904 loss_box_reg_unsup: 0.5624 loss_rpn_cls_unsup: 0.366 loss_rpn_loc_unsup: 0.6532 time: 6.1488 data_time: 0.8349 lr: 0.016 max_mem: 18367M [10/26 22:27:52] d2.utils.events INFO: eta: 3:17:28 iter: 28119 total_loss: 2.591 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03663 loss_box_reg_sup: 0.3366 loss_rpn_cls_sup: 0.03498 loss_rpn_loc_sup: 0.3001 loss_cls_unsup: 0.2838 loss_box_reg_unsup: 0.5716 loss_rpn_cls_unsup: 0.3631 loss_rpn_loc_unsup: 0.6837 time: 6.1491 data_time: 0.8160 lr: 0.016 max_mem: 18367M [10/26 22:29:59] d2.utils.events INFO: eta: 3:15:23 iter: 28139 total_loss: 2.586 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03478 loss_box_reg_sup: 0.3294 loss_rpn_cls_sup: 0.03387 loss_rpn_loc_sup: 0.3056 loss_cls_unsup: 0.2896 loss_box_reg_unsup: 0.5718 loss_rpn_cls_unsup: 0.3716 loss_rpn_loc_unsup: 0.662 time: 6.1492 data_time: 0.8278 lr: 0.016 max_mem: 18367M [10/26 22:32:07] d2.utils.events INFO: eta: 3:13:17 iter: 28159 total_loss: 2.6 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03962 loss_box_reg_sup: 0.3696 loss_rpn_cls_sup: 0.03552 loss_rpn_loc_sup: 0.3136 loss_cls_unsup: 0.2881 loss_box_reg_unsup: 0.5552 loss_rpn_cls_unsup: 0.3599 loss_rpn_loc_unsup: 0.6291 time: 6.1494 data_time: 0.8256 lr: 0.016 max_mem: 18367M [10/26 22:34:15] d2.utils.events INFO: eta: 3:11:15 iter: 28179 total_loss: 2.657 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03694 loss_box_reg_sup: 0.3534 loss_rpn_cls_sup: 0.03511 loss_rpn_loc_sup: 0.303 loss_cls_unsup: 0.2881 loss_box_reg_unsup: 0.5713 loss_rpn_cls_unsup: 0.3839 loss_rpn_loc_unsup: 0.72 time: 6.1496 data_time: 0.8124 lr: 0.016 max_mem: 18367M [10/26 22:36:23] d2.utils.events INFO: eta: 3:09:13 iter: 28199 total_loss: 2.706 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03683 loss_box_reg_sup: 0.3397 loss_rpn_cls_sup: 0.03494 loss_rpn_loc_sup: 0.3071 loss_cls_unsup: 0.2944 loss_box_reg_unsup: 0.6044 loss_rpn_cls_unsup: 0.3545 loss_rpn_loc_unsup: 0.6787 time: 6.1498 data_time: 0.8528 lr: 0.016 max_mem: 18367M [10/26 22:38:32] d2.utils.events INFO: eta: 3:07:13 iter: 28219 total_loss: 2.737 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03824 loss_box_reg_sup: 0.3666 loss_rpn_cls_sup: 0.03265 loss_rpn_loc_sup: 0.3142 loss_cls_unsup: 0.2932 loss_box_reg_unsup: 0.5821 loss_rpn_cls_unsup: 0.3777 loss_rpn_loc_unsup: 0.7225 time: 6.1500 data_time: 0.8417 lr: 0.016 max_mem: 18367M [10/26 22:40:38] d2.utils.events INFO: eta: 3:05:07 iter: 28239 total_loss: 2.694 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04097 loss_box_reg_sup: 0.3551 loss_rpn_cls_sup: 0.03608 loss_rpn_loc_sup: 0.3127 loss_cls_unsup: 0.2845 loss_box_reg_unsup: 0.5733 loss_rpn_cls_unsup: 0.383 loss_rpn_loc_unsup: 0.6965 time: 6.1501 data_time: 0.8163 lr: 0.016 max_mem: 18367M [10/26 22:42:51] d2.utils.events INFO: eta: 3:03:04 iter: 28259 total_loss: 2.722 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03442 loss_box_reg_sup: 0.3429 loss_rpn_cls_sup: 0.03381 loss_rpn_loc_sup: 0.3074 loss_cls_unsup: 0.2887 loss_box_reg_unsup: 0.5998 loss_rpn_cls_unsup: 0.3726 loss_rpn_loc_unsup: 0.7098 time: 6.1504 data_time: 0.8327 lr: 0.016 max_mem: 18367M [10/26 22:44:58] d2.utils.events INFO: eta: 3:01:00 iter: 28279 total_loss: 2.725 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03991 loss_box_reg_sup: 0.3718 loss_rpn_cls_sup: 0.03612 loss_rpn_loc_sup: 0.3224 loss_cls_unsup: 0.278 loss_box_reg_unsup: 0.5722 loss_rpn_cls_unsup: 0.3714 loss_rpn_loc_unsup: 0.7144 time: 6.1506 data_time: 0.8276 lr: 0.016 max_mem: 18367M [10/26 22:47:12] d2.utils.events INFO: eta: 2:58:54 iter: 28299 total_loss: 2.657 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04151 loss_box_reg_sup: 0.3754 loss_rpn_cls_sup: 0.03495 loss_rpn_loc_sup: 0.3217 loss_cls_unsup: 0.2924 loss_box_reg_unsup: 0.5683 loss_rpn_cls_unsup: 0.3754 loss_rpn_loc_unsup: 0.6472 time: 6.1510 data_time: 0.8356 lr: 0.016 max_mem: 18367M [10/26 22:49:27] d2.utils.events INFO: eta: 2:56:55 iter: 28319 total_loss: 2.817 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03721 loss_box_reg_sup: 0.3252 loss_rpn_cls_sup: 0.03905 loss_rpn_loc_sup: 0.314 loss_cls_unsup: 0.2803 loss_box_reg_unsup: 0.5695 loss_rpn_cls_unsup: 0.4062 loss_rpn_loc_unsup: 0.8192 time: 6.1514 data_time: 0.8300 lr: 0.016 max_mem: 18367M [10/26 22:51:37] d2.utils.events INFO: eta: 2:54:49 iter: 28339 total_loss: 2.765 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04093 loss_box_reg_sup: 0.3433 loss_rpn_cls_sup: 0.03854 loss_rpn_loc_sup: 0.3256 loss_cls_unsup: 0.2776 loss_box_reg_unsup: 0.5886 loss_rpn_cls_unsup: 0.3857 loss_rpn_loc_unsup: 0.7511 time: 6.1516 data_time: 0.8534 lr: 0.016 max_mem: 18367M [10/26 22:53:57] d2.utils.events INFO: eta: 2:52:45 iter: 28359 total_loss: 2.659 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04283 loss_box_reg_sup: 0.377 loss_rpn_cls_sup: 0.0366 loss_rpn_loc_sup: 0.309 loss_cls_unsup: 0.2915 loss_box_reg_unsup: 0.5847 loss_rpn_cls_unsup: 0.3607 loss_rpn_loc_unsup: 0.646 time: 6.1522 data_time: 0.8229 lr: 0.016 max_mem: 18367M [10/26 22:56:22] d2.utils.events INFO: eta: 2:50:51 iter: 28379 total_loss: 2.649 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03582 loss_box_reg_sup: 0.3544 loss_rpn_cls_sup: 0.0336 loss_rpn_loc_sup: 0.3121 loss_cls_unsup: 0.2871 loss_box_reg_unsup: 0.5655 loss_rpn_cls_unsup: 0.3813 loss_rpn_loc_unsup: 0.7241 time: 6.1530 data_time: 0.8560 lr: 0.016 max_mem: 18367M [10/26 22:58:42] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 22:58:42] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 22:58:42] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 22:58:42] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 22:58:44] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0386 s/iter. Eval: 0.0004 s/iter. Total: 0.0401 s/iter. ETA=0:03:30 [10/26 22:58:49] d2.evaluation.evaluator INFO: Inference done 135/5258. Dataloading: 0.0011 s/iter. Inference: 0.0388 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:03:26 [10/26 22:58:54] d2.evaluation.evaluator INFO: Inference done 252/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:03:28 [10/26 22:58:59] d2.evaluation.evaluator INFO: Inference done 372/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:03:23 [10/26 22:59:04] d2.evaluation.evaluator INFO: Inference done 499/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:03:15 [10/26 22:59:09] d2.evaluation.evaluator INFO: Inference done 623/5258. Dataloading: 0.0011 s/iter. Inference: 0.0394 s/iter. Eval: 0.0004 s/iter. Total: 0.0410 s/iter. ETA=0:03:09 [10/26 22:59:14] d2.evaluation.evaluator INFO: Inference done 749/5258. Dataloading: 0.0011 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0408 s/iter. ETA=0:03:03 [10/26 22:59:19] d2.evaluation.evaluator INFO: Inference done 848/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:03:04 [10/26 22:59:24] d2.evaluation.evaluator INFO: Inference done 968/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0004 s/iter. Total: 0.0419 s/iter. ETA=0:02:59 [10/26 22:59:29] d2.evaluation.evaluator INFO: Inference done 1086/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0004 s/iter. Total: 0.0420 s/iter. ETA=0:02:55 [10/26 22:59:34] d2.evaluation.evaluator INFO: Inference done 1216/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:02:48 [10/26 22:59:39] d2.evaluation.evaluator INFO: Inference done 1340/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:02:42 [10/26 22:59:44] d2.evaluation.evaluator INFO: Inference done 1464/5258. Dataloading: 0.0011 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:02:37 [10/26 22:59:49] d2.evaluation.evaluator INFO: Inference done 1593/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0412 s/iter. ETA=0:02:31 [10/26 22:59:54] d2.evaluation.evaluator INFO: Inference done 1719/5258. Dataloading: 0.0011 s/iter. Inference: 0.0396 s/iter. Eval: 0.0004 s/iter. Total: 0.0411 s/iter. ETA=0:02:25 [10/26 22:59:59] d2.evaluation.evaluator INFO: Inference done 1823/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:02:22 [10/26 23:00:04] d2.evaluation.evaluator INFO: Inference done 1946/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:02:17 [10/26 23:00:09] d2.evaluation.evaluator INFO: Inference done 2068/5258. Dataloading: 0.0011 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:02:12 [10/26 23:00:14] d2.evaluation.evaluator INFO: Inference done 2188/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:02:07 [10/26 23:00:19] d2.evaluation.evaluator INFO: Inference done 2310/5258. Dataloading: 0.0011 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:02:02 [10/26 23:00:24] d2.evaluation.evaluator INFO: Inference done 2431/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:01:57 [10/26 23:00:29] d2.evaluation.evaluator INFO: Inference done 2555/5258. Dataloading: 0.0011 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:01:52 [10/26 23:00:34] d2.evaluation.evaluator INFO: Inference done 2687/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:01:46 [10/26 23:00:39] d2.evaluation.evaluator INFO: Inference done 2806/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:01:41 [10/26 23:00:44] d2.evaluation.evaluator INFO: Inference done 2932/5258. Dataloading: 0.0011 s/iter. Inference: 0.0397 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:01:35 [10/26 23:00:49] d2.evaluation.evaluator INFO: Inference done 3052/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0413 s/iter. ETA=0:01:31 [10/26 23:00:54] d2.evaluation.evaluator INFO: Inference done 3169/5258. Dataloading: 0.0010 s/iter. Inference: 0.0398 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:01:26 [10/26 23:00:59] d2.evaluation.evaluator INFO: Inference done 3285/5258. Dataloading: 0.0011 s/iter. Inference: 0.0399 s/iter. Eval: 0.0004 s/iter. Total: 0.0414 s/iter. ETA=0:01:21 [10/26 23:01:04] d2.evaluation.evaluator INFO: Inference done 3399/5258. Dataloading: 0.0010 s/iter. Inference: 0.0400 s/iter. Eval: 0.0004 s/iter. Total: 0.0415 s/iter. ETA=0:01:17 [10/26 23:01:09] d2.evaluation.evaluator INFO: Inference done 3510/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0416 s/iter. ETA=0:01:12 [10/26 23:01:14] d2.evaluation.evaluator INFO: Inference done 3629/5258. Dataloading: 0.0010 s/iter. Inference: 0.0401 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:01:07 [10/26 23:01:19] d2.evaluation.evaluator INFO: Inference done 3744/5258. Dataloading: 0.0010 s/iter. Inference: 0.0402 s/iter. Eval: 0.0004 s/iter. Total: 0.0417 s/iter. ETA=0:01:03 [10/26 23:01:24] d2.evaluation.evaluator INFO: Inference done 3837/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0004 s/iter. Total: 0.0420 s/iter. ETA=0:00:59 [10/26 23:01:29] d2.evaluation.evaluator INFO: Inference done 3914/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:00:57 [10/26 23:01:34] d2.evaluation.evaluator INFO: Inference done 4019/5258. Dataloading: 0.0011 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:00:52 [10/26 23:01:39] d2.evaluation.evaluator INFO: Inference done 4146/5258. Dataloading: 0.0011 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:00:47 [10/26 23:01:44] d2.evaluation.evaluator INFO: Inference done 4252/5258. Dataloading: 0.0011 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:00:42 [10/26 23:01:49] d2.evaluation.evaluator INFO: Inference done 4364/5258. Dataloading: 0.0011 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0427 s/iter. ETA=0:00:38 [10/26 23:01:54] d2.evaluation.evaluator INFO: Inference done 4482/5258. Dataloading: 0.0011 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0427 s/iter. ETA=0:00:33 [10/26 23:01:59] d2.evaluation.evaluator INFO: Inference done 4604/5258. Dataloading: 0.0011 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:00:27 [10/26 23:02:04] d2.evaluation.evaluator INFO: Inference done 4727/5258. Dataloading: 0.0011 s/iter. Inference: 0.0411 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:00:22 [10/26 23:02:09] d2.evaluation.evaluator INFO: Inference done 4850/5258. Dataloading: 0.0011 s/iter. Inference: 0.0410 s/iter. Eval: 0.0004 s/iter. Total: 0.0426 s/iter. ETA=0:00:17 [10/26 23:02:15] d2.evaluation.evaluator INFO: Inference done 4978/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0425 s/iter. ETA=0:00:11 [10/26 23:02:20] d2.evaluation.evaluator INFO: Inference done 5105/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:00:06 [10/26 23:02:25] d2.evaluation.evaluator INFO: Inference done 5220/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0004 s/iter. Total: 0.0424 s/iter. ETA=0:00:01 [10/26 23:02:26] d2.evaluation.evaluator INFO: Total inference time: 0:03:42.785260 (0.042411 s / iter per device, on 1 devices) [10/26 23:02:26] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:34 (0.040857 s / iter per device, on 1 devices) [10/26 23:02:26] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 23:03:31] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 23:03:31] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 23:03:31] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 23:03:31] d2.evaluation.testing INFO: copypaste: 5.8437,12.7940,5.0284 [10/26 23:03:33] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 23:03:33] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 23:03:33] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 23:03:33] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 23:03:34] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:04:18 [10/26 23:03:39] d2.evaluation.evaluator INFO: Inference done 109/5258. Dataloading: 0.0010 s/iter. Inference: 0.0495 s/iter. Eval: 0.0005 s/iter. Total: 0.0511 s/iter. ETA=0:04:22 [10/26 23:03:44] d2.evaluation.evaluator INFO: Inference done 210/5258. Dataloading: 0.0010 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0504 s/iter. ETA=0:04:14 [10/26 23:03:49] d2.evaluation.evaluator INFO: Inference done 307/5258. Dataloading: 0.0011 s/iter. 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ETA=0:03:43 [10/26 23:04:19] d2.evaluation.evaluator INFO: Inference done 911/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:03:38 [10/26 23:04:24] d2.evaluation.evaluator INFO: Inference done 1012/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:03:33 [10/26 23:04:30] d2.evaluation.evaluator INFO: Inference done 1113/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:03:28 [10/26 23:04:35] d2.evaluation.evaluator INFO: Inference done 1213/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:03:23 [10/26 23:04:40] d2.evaluation.evaluator INFO: Inference done 1313/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:03:17 [10/26 23:04:45] d2.evaluation.evaluator INFO: Inference done 1413/5258. 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ETA=0:02:23 [10/26 23:05:40] d2.evaluation.evaluator INFO: Inference done 2511/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:02:18 [10/26 23:05:45] d2.evaluation.evaluator INFO: Inference done 2594/5258. Dataloading: 0.0011 s/iter. Inference: 0.0490 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:02:14 [10/26 23:05:50] d2.evaluation.evaluator INFO: Inference done 2693/5258. Dataloading: 0.0011 s/iter. Inference: 0.0490 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:02:09 [10/26 23:05:55] d2.evaluation.evaluator INFO: Inference done 2795/5258. Dataloading: 0.0011 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0506 s/iter. ETA=0:02:04 [10/26 23:06:00] d2.evaluation.evaluator INFO: Inference done 2897/5258. Dataloading: 0.0011 s/iter. Inference: 0.0489 s/iter. Eval: 0.0005 s/iter. Total: 0.0505 s/iter. ETA=0:01:59 [10/26 23:06:05] d2.evaluation.evaluator INFO: Inference done 3000/5258. 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ETA=0:01:03 [10/26 23:07:00] d2.evaluation.evaluator INFO: Inference done 4106/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:00:57 [10/26 23:07:05] d2.evaluation.evaluator INFO: Inference done 4208/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:00:52 [10/26 23:07:10] d2.evaluation.evaluator INFO: Inference done 4308/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:00:47 [10/26 23:07:15] d2.evaluation.evaluator INFO: Inference done 4408/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:00:42 [10/26 23:07:20] d2.evaluation.evaluator INFO: Inference done 4511/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:00:37 [10/26 23:07:25] d2.evaluation.evaluator INFO: Inference done 4612/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:00:32 [10/26 23:07:30] d2.evaluation.evaluator INFO: Inference done 4712/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:00:27 [10/26 23:07:35] d2.evaluation.evaluator INFO: Inference done 4814/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:00:22 [10/26 23:07:40] d2.evaluation.evaluator INFO: Inference done 4916/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:00:17 [10/26 23:07:45] d2.evaluation.evaluator INFO: Inference done 5017/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:00:12 [10/26 23:07:50] d2.evaluation.evaluator INFO: Inference done 5112/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:00:07 [10/26 23:07:56] d2.evaluation.evaluator INFO: Inference done 5214/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:00:02 [10/26 23:07:58] d2.evaluation.evaluator INFO: Total inference time: 0:04:23.938307 (0.050245 s / iter per device, on 1 devices) [10/26 23:07:58] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:15 (0.048614 s / iter per device, on 1 devices) [10/26 23:07:58] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 23:09:05] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 23:09:05] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 23:09:05] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 23:09:05] d2.evaluation.testing INFO: copypaste: 6.1978,13.2691,5.6199 [10/26 23:09:05] d2.utils.events INFO: eta: 2:48:44 iter: 28399 total_loss: 2.676 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03673 loss_box_reg_sup: 0.364 loss_rpn_cls_sup: 0.03167 loss_rpn_loc_sup: 0.3068 loss_cls_unsup: 0.2901 loss_box_reg_unsup: 0.6057 loss_rpn_cls_unsup: 0.3727 loss_rpn_loc_unsup: 0.6674 time: 6.1534 data_time: 0.8411 lr: 0.016 max_mem: 18367M [10/26 23:11:33] d2.utils.events INFO: eta: 2:46:41 iter: 28419 total_loss: 2.693 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03764 loss_box_reg_sup: 0.3627 loss_rpn_cls_sup: 0.03304 loss_rpn_loc_sup: 0.3074 loss_cls_unsup: 0.2763 loss_box_reg_unsup: 0.5739 loss_rpn_cls_unsup: 0.3762 loss_rpn_loc_unsup: 0.6842 time: 6.1542 data_time: 0.8094 lr: 0.016 max_mem: 18367M [10/26 23:13:46] d2.utils.events INFO: eta: 2:44:34 iter: 28439 total_loss: 2.622 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03703 loss_box_reg_sup: 0.343 loss_rpn_cls_sup: 0.0336 loss_rpn_loc_sup: 0.3179 loss_cls_unsup: 0.2841 loss_box_reg_unsup: 0.5737 loss_rpn_cls_unsup: 0.3643 loss_rpn_loc_unsup: 0.6588 time: 6.1546 data_time: 0.8274 lr: 0.016 max_mem: 18367M [10/26 23:15:59] d2.utils.events INFO: eta: 2:42:28 iter: 28459 total_loss: 2.705 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04007 loss_box_reg_sup: 0.3358 loss_rpn_cls_sup: 0.03578 loss_rpn_loc_sup: 0.3115 loss_cls_unsup: 0.294 loss_box_reg_unsup: 0.5917 loss_rpn_cls_unsup: 0.3973 loss_rpn_loc_unsup: 0.6891 time: 6.1549 data_time: 0.8546 lr: 0.016 max_mem: 18367M [10/26 23:18:06] d2.utils.events INFO: eta: 2:40:21 iter: 28479 total_loss: 2.731 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03887 loss_box_reg_sup: 0.3583 loss_rpn_cls_sup: 0.03944 loss_rpn_loc_sup: 0.3254 loss_cls_unsup: 0.2885 loss_box_reg_unsup: 0.5893 loss_rpn_cls_unsup: 0.3781 loss_rpn_loc_unsup: 0.6981 time: 6.1551 data_time: 0.8061 lr: 0.016 max_mem: 18367M [10/26 23:20:32] d2.utils.events INFO: eta: 2:38:14 iter: 28499 total_loss: 2.603 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03823 loss_box_reg_sup: 0.3809 loss_rpn_cls_sup: 0.03604 loss_rpn_loc_sup: 0.3175 loss_cls_unsup: 0.2696 loss_box_reg_unsup: 0.5656 loss_rpn_cls_unsup: 0.3637 loss_rpn_loc_unsup: 0.6525 time: 6.1559 data_time: 0.8427 lr: 0.016 max_mem: 18367M [10/26 23:22:39] d2.utils.events INFO: eta: 2:36:07 iter: 28519 total_loss: 2.73 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04059 loss_box_reg_sup: 0.3677 loss_rpn_cls_sup: 0.03544 loss_rpn_loc_sup: 0.3171 loss_cls_unsup: 0.2837 loss_box_reg_unsup: 0.5886 loss_rpn_cls_unsup: 0.3777 loss_rpn_loc_unsup: 0.7065 time: 6.1560 data_time: 0.8266 lr: 0.016 max_mem: 18367M [10/26 23:24:48] d2.utils.events INFO: eta: 2:34:01 iter: 28539 total_loss: 2.696 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03984 loss_box_reg_sup: 0.3459 loss_rpn_cls_sup: 0.03617 loss_rpn_loc_sup: 0.3129 loss_cls_unsup: 0.2695 loss_box_reg_unsup: 0.5887 loss_rpn_cls_unsup: 0.3783 loss_rpn_loc_unsup: 0.7321 time: 6.1562 data_time: 0.8603 lr: 0.016 max_mem: 18367M [10/26 23:27:04] d2.utils.events INFO: eta: 2:31:54 iter: 28559 total_loss: 2.683 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04001 loss_box_reg_sup: 0.3706 loss_rpn_cls_sup: 0.03435 loss_rpn_loc_sup: 0.318 loss_cls_unsup: 0.2755 loss_box_reg_unsup: 0.5803 loss_rpn_cls_unsup: 0.3699 loss_rpn_loc_unsup: 0.697 time: 6.1566 data_time: 0.8203 lr: 0.016 max_mem: 18367M [10/26 23:29:18] d2.utils.events INFO: eta: 2:29:50 iter: 28579 total_loss: 2.704 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03885 loss_box_reg_sup: 0.3424 loss_rpn_cls_sup: 0.03188 loss_rpn_loc_sup: 0.3268 loss_cls_unsup: 0.2898 loss_box_reg_unsup: 0.593 loss_rpn_cls_unsup: 0.3782 loss_rpn_loc_unsup: 0.745 time: 6.1570 data_time: 0.8721 lr: 0.016 max_mem: 18367M [10/26 23:31:31] d2.utils.events INFO: eta: 2:27:44 iter: 28599 total_loss: 2.689 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03729 loss_box_reg_sup: 0.3519 loss_rpn_cls_sup: 0.03232 loss_rpn_loc_sup: 0.3081 loss_cls_unsup: 0.2748 loss_box_reg_unsup: 0.613 loss_rpn_cls_unsup: 0.3698 loss_rpn_loc_unsup: 0.6556 time: 6.1574 data_time: 0.8225 lr: 0.016 max_mem: 18367M [10/26 23:33:43] d2.utils.events INFO: eta: 2:25:40 iter: 28619 total_loss: 2.615 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04131 loss_box_reg_sup: 0.3639 loss_rpn_cls_sup: 0.03632 loss_rpn_loc_sup: 0.3124 loss_cls_unsup: 0.2838 loss_box_reg_unsup: 0.5525 loss_rpn_cls_unsup: 0.3675 loss_rpn_loc_unsup: 0.668 time: 6.1577 data_time: 0.8589 lr: 0.016 max_mem: 18367M [10/26 23:35:56] d2.utils.events INFO: eta: 2:23:34 iter: 28639 total_loss: 2.681 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04262 loss_box_reg_sup: 0.3883 loss_rpn_cls_sup: 0.03723 loss_rpn_loc_sup: 0.3378 loss_cls_unsup: 0.2823 loss_box_reg_unsup: 0.5578 loss_rpn_cls_unsup: 0.371 loss_rpn_loc_unsup: 0.7043 time: 6.1580 data_time: 0.8599 lr: 0.016 max_mem: 18367M [10/26 23:38:04] d2.utils.events INFO: eta: 2:21:28 iter: 28659 total_loss: 2.692 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0401 loss_box_reg_sup: 0.3685 loss_rpn_cls_sup: 0.0357 loss_rpn_loc_sup: 0.3225 loss_cls_unsup: 0.2842 loss_box_reg_unsup: 0.5724 loss_rpn_cls_unsup: 0.3717 loss_rpn_loc_unsup: 0.7126 time: 6.1582 data_time: 0.8531 lr: 0.016 max_mem: 18367M [10/26 23:40:14] d2.utils.events INFO: eta: 2:19:21 iter: 28679 total_loss: 2.667 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03468 loss_box_reg_sup: 0.3104 loss_rpn_cls_sup: 0.03122 loss_rpn_loc_sup: 0.2983 loss_cls_unsup: 0.2906 loss_box_reg_unsup: 0.57 loss_rpn_cls_unsup: 0.3795 loss_rpn_loc_unsup: 0.7193 time: 6.1584 data_time: 0.8188 lr: 0.016 max_mem: 18367M [10/26 23:42:26] d2.utils.events INFO: eta: 2:17:15 iter: 28699 total_loss: 2.761 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04174 loss_box_reg_sup: 0.3642 loss_rpn_cls_sup: 0.03393 loss_rpn_loc_sup: 0.3092 loss_cls_unsup: 0.2931 loss_box_reg_unsup: 0.6231 loss_rpn_cls_unsup: 0.3723 loss_rpn_loc_unsup: 0.7328 time: 6.1588 data_time: 0.8441 lr: 0.016 max_mem: 18367M [10/26 23:44:42] d2.utils.events INFO: eta: 2:15:11 iter: 28719 total_loss: 2.694 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0421 loss_box_reg_sup: 0.3396 loss_rpn_cls_sup: 0.03542 loss_rpn_loc_sup: 0.3116 loss_cls_unsup: 0.2825 loss_box_reg_unsup: 0.5771 loss_rpn_cls_unsup: 0.3673 loss_rpn_loc_unsup: 0.664 time: 6.1592 data_time: 0.8100 lr: 0.016 max_mem: 18367M [10/26 23:46:49] d2.utils.events INFO: eta: 2:13:04 iter: 28739 total_loss: 2.608 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03841 loss_box_reg_sup: 0.3388 loss_rpn_cls_sup: 0.03745 loss_rpn_loc_sup: 0.3048 loss_cls_unsup: 0.2816 loss_box_reg_unsup: 0.5669 loss_rpn_cls_unsup: 0.3845 loss_rpn_loc_unsup: 0.6647 time: 6.1593 data_time: 0.8370 lr: 0.016 max_mem: 18367M [10/26 23:48:59] d2.utils.events INFO: eta: 2:10:57 iter: 28759 total_loss: 2.631 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04053 loss_box_reg_sup: 0.3446 loss_rpn_cls_sup: 0.03608 loss_rpn_loc_sup: 0.3125 loss_cls_unsup: 0.271 loss_box_reg_unsup: 0.5729 loss_rpn_cls_unsup: 0.3674 loss_rpn_loc_unsup: 0.6604 time: 6.1596 data_time: 0.7998 lr: 0.016 max_mem: 18367M [10/26 23:51:17] d2.utils.events INFO: eta: 2:08:51 iter: 28779 total_loss: 2.575 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03459 loss_box_reg_sup: 0.3186 loss_rpn_cls_sup: 0.03382 loss_rpn_loc_sup: 0.2937 loss_cls_unsup: 0.2765 loss_box_reg_unsup: 0.5681 loss_rpn_cls_unsup: 0.3626 loss_rpn_loc_unsup: 0.645 time: 6.1601 data_time: 0.8008 lr: 0.016 max_mem: 18367M [10/26 23:53:40] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 23:53:41] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 23:53:41] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 23:53:41] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 23:53:42] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0495 s/iter. Eval: 0.0007 s/iter. Total: 0.0512 s/iter. ETA=0:04:28 [10/26 23:53:47] d2.evaluation.evaluator INFO: Inference done 121/5258. Dataloading: 0.0011 s/iter. Inference: 0.0443 s/iter. Eval: 0.0005 s/iter. Total: 0.0460 s/iter. ETA=0:03:56 [10/26 23:53:52] d2.evaluation.evaluator INFO: Inference done 249/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:03:33 [10/26 23:53:57] d2.evaluation.evaluator INFO: Inference done 374/5258. Dataloading: 0.0010 s/iter. 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ETA=0:00:01 [10/26 23:57:24] d2.evaluation.evaluator INFO: Total inference time: 0:03:42.200087 (0.042300 s / iter per device, on 1 devices) [10/26 23:57:24] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:33 (0.040642 s / iter per device, on 1 devices) [10/26 23:57:24] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/26 23:58:48] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/26 23:58:48] d2.evaluation.testing INFO: copypaste: Task: bbox [10/26 23:58:48] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/26 23:58:48] d2.evaluation.testing INFO: copypaste: 5.6021,12.2726,4.8925 [10/26 23:58:50] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/26 23:58:50] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/26 23:58:50] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/26 23:58:50] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/26 23:58:51] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0488 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:04:23 [10/26 23:58:56] d2.evaluation.evaluator INFO: Inference done 111/5258. Dataloading: 0.0010 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:04:17 [10/26 23:59:01] d2.evaluation.evaluator INFO: Inference done 211/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0503 s/iter. ETA=0:04:13 [10/26 23:59:06] d2.evaluation.evaluator INFO: Inference done 311/5258. Dataloading: 0.0011 s/iter. 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Total: 0.0498 s/iter. ETA=0:00:04 [10/27 00:03:13] d2.evaluation.evaluator INFO: Inference done 5258/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:00:00 [10/27 00:03:13] d2.evaluation.evaluator INFO: Total inference time: 0:04:21.755422 (0.049830 s / iter per device, on 1 devices) [10/27 00:03:13] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:13 (0.048235 s / iter per device, on 1 devices) [10/27 00:03:13] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/27 00:04:22] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/27 00:04:22] d2.evaluation.testing INFO: copypaste: Task: bbox [10/27 00:04:22] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/27 00:04:22] d2.evaluation.testing INFO: copypaste: 6.1743,13.2818,5.5686 [10/27 00:04:22] d2.utils.events INFO: eta: 2:06:44 iter: 28799 total_loss: 2.63 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03907 loss_box_reg_sup: 0.3404 loss_rpn_cls_sup: 0.0311 loss_rpn_loc_sup: 0.2888 loss_cls_unsup: 0.2832 loss_box_reg_unsup: 0.5695 loss_rpn_cls_unsup: 0.374 loss_rpn_loc_unsup: 0.6907 time: 6.1606 data_time: 0.8556 lr: 0.016 max_mem: 18367M [10/27 00:06:32] d2.utils.events INFO: eta: 2:04:38 iter: 28819 total_loss: 2.665 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03947 loss_box_reg_sup: 0.3532 loss_rpn_cls_sup: 0.0349 loss_rpn_loc_sup: 0.3038 loss_cls_unsup: 0.2937 loss_box_reg_unsup: 0.5738 loss_rpn_cls_unsup: 0.3688 loss_rpn_loc_unsup: 0.678 time: 6.1608 data_time: 0.8257 lr: 0.016 max_mem: 18367M [10/27 00:09:01] d2.utils.events INFO: eta: 2:02:32 iter: 28839 total_loss: 2.786 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04043 loss_box_reg_sup: 0.353 loss_rpn_cls_sup: 0.0351 loss_rpn_loc_sup: 0.3092 loss_cls_unsup: 0.2865 loss_box_reg_unsup: 0.6012 loss_rpn_cls_unsup: 0.3769 loss_rpn_loc_unsup: 0.7075 time: 6.1617 data_time: 0.8396 lr: 0.016 max_mem: 18367M [10/27 00:11:17] d2.utils.events INFO: eta: 2:00:28 iter: 28859 total_loss: 2.796 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03867 loss_box_reg_sup: 0.3288 loss_rpn_cls_sup: 0.03566 loss_rpn_loc_sup: 0.2977 loss_cls_unsup: 0.2792 loss_box_reg_unsup: 0.5674 loss_rpn_cls_unsup: 0.3752 loss_rpn_loc_unsup: 0.813 time: 6.1621 data_time: 0.8440 lr: 0.016 max_mem: 18367M [10/27 00:13:27] d2.utils.events INFO: eta: 1:58:26 iter: 28879 total_loss: 2.681 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0383 loss_box_reg_sup: 0.3434 loss_rpn_cls_sup: 0.03802 loss_rpn_loc_sup: 0.321 loss_cls_unsup: 0.2765 loss_box_reg_unsup: 0.5658 loss_rpn_cls_unsup: 0.398 loss_rpn_loc_unsup: 0.7435 time: 6.1624 data_time: 0.8953 lr: 0.016 max_mem: 18367M [10/27 00:15:48] d2.utils.events INFO: eta: 1:56:21 iter: 28899 total_loss: 2.692 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04322 loss_box_reg_sup: 0.3842 loss_rpn_cls_sup: 0.03666 loss_rpn_loc_sup: 0.3286 loss_cls_unsup: 0.2745 loss_box_reg_unsup: 0.5746 loss_rpn_cls_unsup: 0.3819 loss_rpn_loc_unsup: 0.6645 time: 6.1630 data_time: 0.8088 lr: 0.016 max_mem: 18367M [10/27 00:18:01] d2.utils.events INFO: eta: 1:54:09 iter: 28919 total_loss: 2.696 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03995 loss_box_reg_sup: 0.3482 loss_rpn_cls_sup: 0.03394 loss_rpn_loc_sup: 0.3198 loss_cls_unsup: 0.2824 loss_box_reg_unsup: 0.5813 loss_rpn_cls_unsup: 0.366 loss_rpn_loc_unsup: 0.7357 time: 6.1633 data_time: 0.8362 lr: 0.016 max_mem: 18367M [10/27 00:20:30] d2.utils.events INFO: eta: 1:52:02 iter: 28939 total_loss: 2.755 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04184 loss_box_reg_sup: 0.3922 loss_rpn_cls_sup: 0.03637 loss_rpn_loc_sup: 0.3134 loss_cls_unsup: 0.2726 loss_box_reg_unsup: 0.6 loss_rpn_cls_unsup: 0.3618 loss_rpn_loc_unsup: 0.8048 time: 6.1642 data_time: 0.8102 lr: 0.016 max_mem: 18367M [10/27 00:22:37] d2.utils.events INFO: eta: 1:49:55 iter: 28959 total_loss: 2.561 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03687 loss_box_reg_sup: 0.3466 loss_rpn_cls_sup: 0.03588 loss_rpn_loc_sup: 0.3015 loss_cls_unsup: 0.2804 loss_box_reg_unsup: 0.5736 loss_rpn_cls_unsup: 0.3568 loss_rpn_loc_unsup: 0.6446 time: 6.1643 data_time: 0.8169 lr: 0.016 max_mem: 18367M [10/27 00:24:50] d2.utils.events INFO: eta: 1:47:49 iter: 28979 total_loss: 2.701 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04043 loss_box_reg_sup: 0.3771 loss_rpn_cls_sup: 0.03666 loss_rpn_loc_sup: 0.3258 loss_cls_unsup: 0.2753 loss_box_reg_unsup: 0.5872 loss_rpn_cls_unsup: 0.3564 loss_rpn_loc_unsup: 0.715 time: 6.1646 data_time: 0.8351 lr: 0.016 max_mem: 18367M [10/27 00:27:04] d2.utils.events INFO: eta: 1:45:46 iter: 28999 total_loss: 2.622 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03389 loss_box_reg_sup: 0.3292 loss_rpn_cls_sup: 0.0308 loss_rpn_loc_sup: 0.2939 loss_cls_unsup: 0.2795 loss_box_reg_unsup: 0.591 loss_rpn_cls_unsup: 0.3736 loss_rpn_loc_unsup: 0.7291 time: 6.1650 data_time: 0.8169 lr: 0.016 max_mem: 18367M [10/27 00:29:11] d2.utils.events INFO: eta: 1:43:40 iter: 29019 total_loss: 2.673 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04016 loss_box_reg_sup: 0.3588 loss_rpn_cls_sup: 0.03907 loss_rpn_loc_sup: 0.3191 loss_cls_unsup: 0.2829 loss_box_reg_unsup: 0.5751 loss_rpn_cls_unsup: 0.3935 loss_rpn_loc_unsup: 0.6821 time: 6.1651 data_time: 0.9059 lr: 0.016 max_mem: 18367M [10/27 00:31:21] d2.utils.events INFO: eta: 1:41:33 iter: 29039 total_loss: 2.597 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04025 loss_box_reg_sup: 0.3649 loss_rpn_cls_sup: 0.03312 loss_rpn_loc_sup: 0.3215 loss_cls_unsup: 0.2836 loss_box_reg_unsup: 0.5767 loss_rpn_cls_unsup: 0.3761 loss_rpn_loc_unsup: 0.6895 time: 6.1654 data_time: 0.8384 lr: 0.016 max_mem: 18367M [10/27 00:33:32] d2.utils.events INFO: eta: 1:39:26 iter: 29059 total_loss: 2.701 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04118 loss_box_reg_sup: 0.3567 loss_rpn_cls_sup: 0.03913 loss_rpn_loc_sup: 0.3283 loss_cls_unsup: 0.279 loss_box_reg_unsup: 0.5828 loss_rpn_cls_unsup: 0.3688 loss_rpn_loc_unsup: 0.6792 time: 6.1657 data_time: 0.8701 lr: 0.016 max_mem: 18367M [10/27 00:35:41] d2.utils.events INFO: eta: 1:37:19 iter: 29079 total_loss: 2.697 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03647 loss_box_reg_sup: 0.3412 loss_rpn_cls_sup: 0.03382 loss_rpn_loc_sup: 0.3042 loss_cls_unsup: 0.2906 loss_box_reg_unsup: 0.5734 loss_rpn_cls_unsup: 0.3765 loss_rpn_loc_unsup: 0.7155 time: 6.1658 data_time: 0.8396 lr: 0.016 max_mem: 18367M [10/27 00:37:50] d2.utils.events INFO: eta: 1:35:09 iter: 29099 total_loss: 2.718 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03564 loss_box_reg_sup: 0.3534 loss_rpn_cls_sup: 0.03168 loss_rpn_loc_sup: 0.3004 loss_cls_unsup: 0.2854 loss_box_reg_unsup: 0.5747 loss_rpn_cls_unsup: 0.382 loss_rpn_loc_unsup: 0.7404 time: 6.1660 data_time: 0.8244 lr: 0.016 max_mem: 18367M [10/27 00:40:01] d2.utils.events INFO: eta: 1:32:59 iter: 29119 total_loss: 2.712 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03907 loss_box_reg_sup: 0.3715 loss_rpn_cls_sup: 0.03241 loss_rpn_loc_sup: 0.3079 loss_cls_unsup: 0.294 loss_box_reg_unsup: 0.5902 loss_rpn_cls_unsup: 0.3742 loss_rpn_loc_unsup: 0.7209 time: 6.1663 data_time: 0.8081 lr: 0.016 max_mem: 18367M [10/27 00:42:16] d2.utils.events INFO: eta: 1:30:53 iter: 29139 total_loss: 2.72 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03629 loss_box_reg_sup: 0.3404 loss_rpn_cls_sup: 0.03533 loss_rpn_loc_sup: 0.326 loss_cls_unsup: 0.2849 loss_box_reg_unsup: 0.572 loss_rpn_cls_unsup: 0.3937 loss_rpn_loc_unsup: 0.7919 time: 6.1667 data_time: 0.8476 lr: 0.016 max_mem: 18367M [10/27 00:44:21] d2.utils.events INFO: eta: 1:28:45 iter: 29159 total_loss: 2.649 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04053 loss_box_reg_sup: 0.3811 loss_rpn_cls_sup: 0.03554 loss_rpn_loc_sup: 0.3184 loss_cls_unsup: 0.2788 loss_box_reg_unsup: 0.5648 loss_rpn_cls_unsup: 0.3562 loss_rpn_loc_unsup: 0.6647 time: 6.1667 data_time: 0.7661 lr: 0.016 max_mem: 18367M [10/27 00:46:32] d2.utils.events INFO: eta: 1:26:36 iter: 29179 total_loss: 2.722 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04107 loss_box_reg_sup: 0.3558 loss_rpn_cls_sup: 0.03533 loss_rpn_loc_sup: 0.3067 loss_cls_unsup: 0.2835 loss_box_reg_unsup: 0.5907 loss_rpn_cls_unsup: 0.3831 loss_rpn_loc_unsup: 0.6892 time: 6.1670 data_time: 0.8257 lr: 0.016 max_mem: 18367M [10/27 00:48:50] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/27 00:48:50] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/27 00:48:50] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/27 00:48:50] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/27 00:48:51] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0005 s/iter. Total: 0.0404 s/iter. ETA=0:03:32 [10/27 00:48:56] d2.evaluation.evaluator INFO: Inference done 137/5258. Dataloading: 0.0010 s/iter. Inference: 0.0385 s/iter. Eval: 0.0004 s/iter. Total: 0.0400 s/iter. ETA=0:03:24 [10/27 00:49:01] d2.evaluation.evaluator INFO: Inference done 258/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0407 s/iter. ETA=0:03:23 [10/27 00:49:06] d2.evaluation.evaluator INFO: Inference done 380/5258. Dataloading: 0.0010 s/iter. 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ETA=0:02:52 [10/27 00:49:37] d2.evaluation.evaluator INFO: Inference done 1126/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:02:47 [10/27 00:49:42] d2.evaluation.evaluator INFO: Inference done 1256/5258. Dataloading: 0.0010 s/iter. Inference: 0.0389 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:02:41 [10/27 00:49:47] d2.evaluation.evaluator INFO: Inference done 1378/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0404 s/iter. ETA=0:02:36 [10/27 00:49:52] d2.evaluation.evaluator INFO: Inference done 1497/5258. Dataloading: 0.0010 s/iter. Inference: 0.0392 s/iter. Eval: 0.0004 s/iter. Total: 0.0406 s/iter. ETA=0:02:32 [10/27 00:49:57] d2.evaluation.evaluator INFO: Inference done 1626/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:02:26 [10/27 00:50:02] d2.evaluation.evaluator INFO: Inference done 1750/5258. 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ETA=0:00:11 [10/27 00:52:17] d2.evaluation.evaluator INFO: Inference done 5097/5258. Dataloading: 0.0010 s/iter. Inference: 0.0390 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:00:06 [10/27 00:52:22] d2.evaluation.evaluator INFO: Inference done 5220/5258. Dataloading: 0.0010 s/iter. Inference: 0.0391 s/iter. Eval: 0.0004 s/iter. Total: 0.0405 s/iter. ETA=0:00:01 [10/27 00:52:24] d2.evaluation.evaluator INFO: Total inference time: 0:03:32.721399 (0.040495 s / iter per device, on 1 devices) [10/27 00:52:24] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:25 (0.039035 s / iter per device, on 1 devices) [10/27 00:52:24] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/27 00:53:20] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/27 00:53:20] d2.evaluation.testing INFO: copypaste: Task: bbox [10/27 00:53:20] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/27 00:53:20] d2.evaluation.testing INFO: copypaste: 5.7240,12.6674,4.8514 [10/27 00:53:21] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/27 00:53:21] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/27 00:53:21] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/27 00:53:21] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/27 00:53:22] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0457 s/iter. Eval: 0.0005 s/iter. Total: 0.0471 s/iter. ETA=0:04:07 [10/27 00:53:28] d2.evaluation.evaluator INFO: Inference done 114/5258. Dataloading: 0.0011 s/iter. Inference: 0.0472 s/iter. Eval: 0.0005 s/iter. Total: 0.0488 s/iter. ETA=0:04:11 [10/27 00:53:33] d2.evaluation.evaluator INFO: Inference done 217/5258. Dataloading: 0.0011 s/iter. Inference: 0.0473 s/iter. Eval: 0.0005 s/iter. Total: 0.0489 s/iter. ETA=0:04:06 [10/27 00:53:38] d2.evaluation.evaluator INFO: Inference done 317/5258. Dataloading: 0.0011 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:04:03 [10/27 00:53:43] d2.evaluation.evaluator INFO: Inference done 416/5258. Dataloading: 0.0011 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0496 s/iter. ETA=0:04:00 [10/27 00:53:48] d2.evaluation.evaluator INFO: Inference done 518/5258. Dataloading: 0.0011 s/iter. Inference: 0.0480 s/iter. Eval: 0.0005 s/iter. Total: 0.0495 s/iter. ETA=0:03:54 [10/27 00:53:53] d2.evaluation.evaluator INFO: Inference done 621/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:49 [10/27 00:53:58] d2.evaluation.evaluator INFO: Inference done 724/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:43 [10/27 00:54:03] d2.evaluation.evaluator INFO: Inference done 828/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0492 s/iter. ETA=0:03:37 [10/27 00:54:08] d2.evaluation.evaluator INFO: Inference done 928/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:03:33 [10/27 00:54:13] d2.evaluation.evaluator INFO: Inference done 1028/5258. Dataloading: 0.0011 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:03:28 [10/27 00:54:18] d2.evaluation.evaluator INFO: Inference done 1129/5258. Dataloading: 0.0011 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. 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ETA=0:02:58 [10/27 00:54:48] d2.evaluation.evaluator INFO: Inference done 1744/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:53 [10/27 00:54:53] d2.evaluation.evaluator INFO: Inference done 1846/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:48 [10/27 00:54:58] d2.evaluation.evaluator INFO: Inference done 1947/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:43 [10/27 00:55:03] d2.evaluation.evaluator INFO: Inference done 2048/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:38 [10/27 00:55:08] d2.evaluation.evaluator INFO: Inference done 2151/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:02:33 [10/27 00:55:13] d2.evaluation.evaluator INFO: Inference done 2253/5258. 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ETA=0:01:37 [10/27 00:56:08] d2.evaluation.evaluator INFO: Inference done 3375/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:32 [10/27 00:56:13] d2.evaluation.evaluator INFO: Inference done 3477/5258. Dataloading: 0.0010 s/iter. Inference: 0.0477 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:27 [10/27 00:56:18] d2.evaluation.evaluator INFO: Inference done 3577/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:22 [10/27 00:56:23] d2.evaluation.evaluator INFO: Inference done 3679/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:17 [10/27 00:56:28] d2.evaluation.evaluator INFO: Inference done 3778/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:13 [10/27 00:56:33] d2.evaluation.evaluator INFO: Inference done 3882/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:07 [10/27 00:56:38] d2.evaluation.evaluator INFO: Inference done 3984/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:01:02 [10/27 00:56:43] d2.evaluation.evaluator INFO: Inference done 4085/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:57 [10/27 00:56:48] d2.evaluation.evaluator INFO: Inference done 4187/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:52 [10/27 00:56:53] d2.evaluation.evaluator INFO: Inference done 4288/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. Total: 0.0493 s/iter. ETA=0:00:47 [10/27 00:56:58] d2.evaluation.evaluator INFO: Inference done 4390/5258. Dataloading: 0.0010 s/iter. Inference: 0.0478 s/iter. Eval: 0.0005 s/iter. 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ETA=0:00:18 [10/27 00:57:29] d2.evaluation.evaluator INFO: Inference done 4992/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:13 [10/27 00:57:34] d2.evaluation.evaluator INFO: Inference done 5091/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:08 [10/27 00:57:39] d2.evaluation.evaluator INFO: Inference done 5192/5258. Dataloading: 0.0010 s/iter. Inference: 0.0479 s/iter. Eval: 0.0005 s/iter. Total: 0.0494 s/iter. ETA=0:00:03 [10/27 00:57:42] d2.evaluation.evaluator INFO: Total inference time: 0:04:19.865150 (0.049470 s / iter per device, on 1 devices) [10/27 00:57:42] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:11 (0.047910 s / iter per device, on 1 devices) [10/27 00:57:42] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/27 00:58:50] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/27 00:58:50] d2.evaluation.testing INFO: copypaste: Task: bbox [10/27 00:58:50] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/27 00:58:50] d2.evaluation.testing INFO: copypaste: 6.1889,13.2100,5.5891 [10/27 00:58:50] d2.utils.events INFO: eta: 1:24:28 iter: 29199 total_loss: 2.755 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03829 loss_box_reg_sup: 0.3576 loss_rpn_cls_sup: 0.0322 loss_rpn_loc_sup: 0.3204 loss_cls_unsup: 0.2833 loss_box_reg_unsup: 0.5984 loss_rpn_cls_unsup: 0.3562 loss_rpn_loc_unsup: 0.7342 time: 6.1673 data_time: 0.8348 lr: 0.016 max_mem: 18367M [10/27 01:01:08] d2.utils.events INFO: eta: 1:22:22 iter: 29219 total_loss: 2.659 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03529 loss_box_reg_sup: 0.3449 loss_rpn_cls_sup: 0.0323 loss_rpn_loc_sup: 0.3185 loss_cls_unsup: 0.3001 loss_box_reg_unsup: 0.5705 loss_rpn_cls_unsup: 0.3705 loss_rpn_loc_unsup: 0.7369 time: 6.1678 data_time: 0.8369 lr: 0.016 max_mem: 18367M [10/27 01:03:38] d2.utils.events INFO: eta: 1:20:16 iter: 29239 total_loss: 2.689 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03795 loss_box_reg_sup: 0.3617 loss_rpn_cls_sup: 0.03552 loss_rpn_loc_sup: 0.3139 loss_cls_unsup: 0.2867 loss_box_reg_unsup: 0.5696 loss_rpn_cls_unsup: 0.3509 loss_rpn_loc_unsup: 0.716 time: 6.1687 data_time: 0.7853 lr: 0.016 max_mem: 18367M [10/27 01:05:53] d2.utils.events INFO: eta: 1:18:09 iter: 29259 total_loss: 2.623 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03492 loss_box_reg_sup: 0.3188 loss_rpn_cls_sup: 0.03125 loss_rpn_loc_sup: 0.2858 loss_cls_unsup: 0.2894 loss_box_reg_unsup: 0.5677 loss_rpn_cls_unsup: 0.3693 loss_rpn_loc_unsup: 0.6882 time: 6.1691 data_time: 0.8093 lr: 0.016 max_mem: 18367M [10/27 01:08:07] d2.utils.events INFO: eta: 1:16:04 iter: 29279 total_loss: 2.756 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03848 loss_box_reg_sup: 0.3577 loss_rpn_cls_sup: 0.03302 loss_rpn_loc_sup: 0.3015 loss_cls_unsup: 0.2908 loss_box_reg_unsup: 0.6152 loss_rpn_cls_unsup: 0.3758 loss_rpn_loc_unsup: 0.7016 time: 6.1695 data_time: 0.8275 lr: 0.016 max_mem: 18367M [10/27 01:10:15] d2.utils.events INFO: eta: 1:13:57 iter: 29299 total_loss: 2.73 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04326 loss_box_reg_sup: 0.4036 loss_rpn_cls_sup: 0.03648 loss_rpn_loc_sup: 0.3214 loss_cls_unsup: 0.2896 loss_box_reg_unsup: 0.5963 loss_rpn_cls_unsup: 0.363 loss_rpn_loc_unsup: 0.7338 time: 6.1696 data_time: 0.8613 lr: 0.016 max_mem: 18367M [10/27 01:12:23] d2.utils.events INFO: eta: 1:11:49 iter: 29319 total_loss: 2.648 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03611 loss_box_reg_sup: 0.334 loss_rpn_cls_sup: 0.03186 loss_rpn_loc_sup: 0.2995 loss_cls_unsup: 0.292 loss_box_reg_unsup: 0.5937 loss_rpn_cls_unsup: 0.378 loss_rpn_loc_unsup: 0.7482 time: 6.1698 data_time: 0.8539 lr: 0.016 max_mem: 18367M [10/27 01:14:38] d2.utils.events INFO: eta: 1:09:44 iter: 29339 total_loss: 2.653 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03983 loss_box_reg_sup: 0.3766 loss_rpn_cls_sup: 0.03629 loss_rpn_loc_sup: 0.3071 loss_cls_unsup: 0.2831 loss_box_reg_unsup: 0.5585 loss_rpn_cls_unsup: 0.3766 loss_rpn_loc_unsup: 0.6946 time: 6.1702 data_time: 0.8389 lr: 0.016 max_mem: 18367M [10/27 01:16:44] d2.utils.events INFO: eta: 1:07:35 iter: 29359 total_loss: 2.674 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03637 loss_box_reg_sup: 0.3364 loss_rpn_cls_sup: 0.03413 loss_rpn_loc_sup: 0.3087 loss_cls_unsup: 0.2995 loss_box_reg_unsup: 0.5765 loss_rpn_cls_unsup: 0.3714 loss_rpn_loc_unsup: 0.6735 time: 6.1703 data_time: 0.8290 lr: 0.016 max_mem: 18367M [10/27 01:18:52] d2.utils.events INFO: eta: 1:05:27 iter: 29379 total_loss: 2.702 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03832 loss_box_reg_sup: 0.3637 loss_rpn_cls_sup: 0.0323 loss_rpn_loc_sup: 0.3096 loss_cls_unsup: 0.288 loss_box_reg_unsup: 0.5789 loss_rpn_cls_unsup: 0.3781 loss_rpn_loc_unsup: 0.685 time: 6.1704 data_time: 0.8199 lr: 0.016 max_mem: 18367M [10/27 01:20:58] d2.utils.events INFO: eta: 1:03:19 iter: 29399 total_loss: 2.725 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03553 loss_box_reg_sup: 0.3172 loss_rpn_cls_sup: 0.03459 loss_rpn_loc_sup: 0.2903 loss_cls_unsup: 0.303 loss_box_reg_unsup: 0.6219 loss_rpn_cls_unsup: 0.3959 loss_rpn_loc_unsup: 0.7452 time: 6.1705 data_time: 0.8306 lr: 0.016 max_mem: 18367M [10/27 01:23:04] d2.utils.events INFO: eta: 1:01:12 iter: 29419 total_loss: 2.713 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0409 loss_box_reg_sup: 0.3575 loss_rpn_cls_sup: 0.04105 loss_rpn_loc_sup: 0.3238 loss_cls_unsup: 0.2805 loss_box_reg_unsup: 0.5979 loss_rpn_cls_unsup: 0.3814 loss_rpn_loc_unsup: 0.6841 time: 6.1706 data_time: 0.8011 lr: 0.016 max_mem: 18367M [10/27 01:25:09] d2.utils.events INFO: eta: 0:59:04 iter: 29439 total_loss: 2.642 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03497 loss_box_reg_sup: 0.3335 loss_rpn_cls_sup: 0.03078 loss_rpn_loc_sup: 0.2975 loss_cls_unsup: 0.2763 loss_box_reg_unsup: 0.6026 loss_rpn_cls_unsup: 0.3536 loss_rpn_loc_unsup: 0.6914 time: 6.1706 data_time: 0.7837 lr: 0.016 max_mem: 18367M [10/27 01:27:13] d2.utils.events INFO: eta: 0:56:56 iter: 29459 total_loss: 2.634 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.039 loss_box_reg_sup: 0.3466 loss_rpn_cls_sup: 0.0324 loss_rpn_loc_sup: 0.2929 loss_cls_unsup: 0.2713 loss_box_reg_unsup: 0.5878 loss_rpn_cls_unsup: 0.3593 loss_rpn_loc_unsup: 0.7169 time: 6.1707 data_time: 0.7814 lr: 0.016 max_mem: 18367M [10/27 01:29:18] d2.utils.events INFO: eta: 0:54:48 iter: 29479 total_loss: 2.772 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03771 loss_box_reg_sup: 0.3468 loss_rpn_cls_sup: 0.03266 loss_rpn_loc_sup: 0.3098 loss_cls_unsup: 0.2714 loss_box_reg_unsup: 0.5969 loss_rpn_cls_unsup: 0.3469 loss_rpn_loc_unsup: 0.7095 time: 6.1707 data_time: 0.8023 lr: 0.016 max_mem: 18367M [10/27 01:31:25] d2.utils.events INFO: eta: 0:52:41 iter: 29499 total_loss: 2.768 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03922 loss_box_reg_sup: 0.367 loss_rpn_cls_sup: 0.03502 loss_rpn_loc_sup: 0.3126 loss_cls_unsup: 0.2765 loss_box_reg_unsup: 0.5851 loss_rpn_cls_unsup: 0.3847 loss_rpn_loc_unsup: 0.7646 time: 6.1709 data_time: 0.8096 lr: 0.016 max_mem: 18367M [10/27 01:33:32] d2.utils.events INFO: eta: 0:50:35 iter: 29519 total_loss: 2.72 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03807 loss_box_reg_sup: 0.3663 loss_rpn_cls_sup: 0.03469 loss_rpn_loc_sup: 0.335 loss_cls_unsup: 0.2755 loss_box_reg_unsup: 0.6051 loss_rpn_cls_unsup: 0.3625 loss_rpn_loc_unsup: 0.6969 time: 6.1710 data_time: 0.8095 lr: 0.016 max_mem: 18367M [10/27 01:35:39] d2.utils.events INFO: eta: 0:48:28 iter: 29539 total_loss: 2.711 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04171 loss_box_reg_sup: 0.3725 loss_rpn_cls_sup: 0.03632 loss_rpn_loc_sup: 0.3251 loss_cls_unsup: 0.2797 loss_box_reg_unsup: 0.5866 loss_rpn_cls_unsup: 0.3617 loss_rpn_loc_unsup: 0.7012 time: 6.1711 data_time: 0.8696 lr: 0.016 max_mem: 18367M [10/27 01:37:46] d2.utils.events INFO: eta: 0:46:22 iter: 29559 total_loss: 2.739 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04063 loss_box_reg_sup: 0.3654 loss_rpn_cls_sup: 0.03264 loss_rpn_loc_sup: 0.3097 loss_cls_unsup: 0.2694 loss_box_reg_unsup: 0.5996 loss_rpn_cls_unsup: 0.3628 loss_rpn_loc_unsup: 0.729 time: 6.1712 data_time: 0.8344 lr: 0.016 max_mem: 18367M [10/27 01:39:53] d2.utils.events INFO: eta: 0:44:15 iter: 29579 total_loss: 2.718 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04006 loss_box_reg_sup: 0.3947 loss_rpn_cls_sup: 0.03213 loss_rpn_loc_sup: 0.3032 loss_cls_unsup: 0.2949 loss_box_reg_unsup: 0.5809 loss_rpn_cls_unsup: 0.3896 loss_rpn_loc_unsup: 0.6887 time: 6.1713 data_time: 0.8109 lr: 0.016 max_mem: 18367M [10/27 01:42:06] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/27 01:42:06] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/27 01:42:06] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/27 01:42:06] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/27 01:42:07] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0365 s/iter. Eval: 0.0006 s/iter. Total: 0.0379 s/iter. ETA=0:03:19 [10/27 01:42:12] d2.evaluation.evaluator INFO: Inference done 130/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:03:35 [10/27 01:42:17] d2.evaluation.evaluator INFO: Inference done 251/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:03:29 [10/27 01:42:22] d2.evaluation.evaluator INFO: Inference done 374/5258. Dataloading: 0.0012 s/iter. Inference: 0.0397 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:03:22 [10/27 01:42:27] d2.evaluation.evaluator INFO: Inference done 499/5258. Dataloading: 0.0011 s/iter. Inference: 0.0395 s/iter. Eval: 0.0005 s/iter. Total: 0.0411 s/iter. ETA=0:03:15 [10/27 01:42:32] d2.evaluation.evaluator INFO: Inference done 606/5258. Dataloading: 0.0012 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:03:16 [10/27 01:42:37] d2.evaluation.evaluator INFO: Inference done 724/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:03:11 [10/27 01:42:42] d2.evaluation.evaluator INFO: Inference done 847/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:03:05 [10/27 01:42:47] d2.evaluation.evaluator INFO: Inference done 965/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:03:00 [10/27 01:42:52] d2.evaluation.evaluator INFO: Inference done 1089/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:02:54 [10/27 01:42:57] d2.evaluation.evaluator INFO: Inference done 1207/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:02:50 [10/27 01:43:02] d2.evaluation.evaluator INFO: Inference done 1329/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:02:44 [10/27 01:43:07] d2.evaluation.evaluator INFO: Inference done 1453/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:02:39 [10/27 01:43:12] d2.evaluation.evaluator INFO: Inference done 1570/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:02:34 [10/27 01:43:17] d2.evaluation.evaluator INFO: Inference done 1695/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:02:28 [10/27 01:43:22] d2.evaluation.evaluator INFO: Inference done 1819/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:02:23 [10/27 01:43:27] d2.evaluation.evaluator INFO: Inference done 1945/5258. Dataloading: 0.0011 s/iter. Inference: 0.0399 s/iter. Eval: 0.0005 s/iter. Total: 0.0415 s/iter. ETA=0:02:17 [10/27 01:43:32] d2.evaluation.evaluator INFO: Inference done 2058/5258. Dataloading: 0.0011 s/iter. Inference: 0.0400 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:02:13 [10/27 01:43:37] d2.evaluation.evaluator INFO: Inference done 2172/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:02:09 [10/27 01:43:42] d2.evaluation.evaluator INFO: Inference done 2284/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:02:04 [10/27 01:43:47] d2.evaluation.evaluator INFO: Inference done 2401/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:02:00 [10/27 01:43:52] d2.evaluation.evaluator INFO: Inference done 2503/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:01:56 [10/27 01:43:57] d2.evaluation.evaluator INFO: Inference done 2621/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:01:51 [10/27 01:44:02] d2.evaluation.evaluator INFO: Inference done 2744/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:01:46 [10/27 01:44:07] d2.evaluation.evaluator INFO: Inference done 2871/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:01:40 [10/27 01:44:12] d2.evaluation.evaluator INFO: Inference done 2993/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:01:35 [10/27 01:44:17] d2.evaluation.evaluator INFO: Inference done 3119/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:01:29 [10/27 01:44:22] d2.evaluation.evaluator INFO: Inference done 3242/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:01:24 [10/27 01:44:27] d2.evaluation.evaluator INFO: Inference done 3367/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:01:19 [10/27 01:44:32] d2.evaluation.evaluator INFO: Inference done 3487/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:01:14 [10/27 01:44:38] d2.evaluation.evaluator INFO: Inference done 3607/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:01:09 [10/27 01:44:43] d2.evaluation.evaluator INFO: Inference done 3727/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:01:04 [10/27 01:44:48] d2.evaluation.evaluator INFO: Inference done 3848/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:00:59 [10/27 01:44:53] d2.evaluation.evaluator INFO: Inference done 3973/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:53 [10/27 01:44:58] d2.evaluation.evaluator INFO: Inference done 4097/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:48 [10/27 01:45:03] d2.evaluation.evaluator INFO: Inference done 4217/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:43 [10/27 01:45:08] d2.evaluation.evaluator INFO: Inference done 4340/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:38 [10/27 01:45:13] d2.evaluation.evaluator INFO: Inference done 4457/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:33 [10/27 01:45:18] d2.evaluation.evaluator INFO: Inference done 4577/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:28 [10/27 01:45:23] d2.evaluation.evaluator INFO: Inference done 4702/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:00:23 [10/27 01:45:28] d2.evaluation.evaluator INFO: Inference done 4823/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:00:18 [10/27 01:45:33] d2.evaluation.evaluator INFO: Inference done 4936/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:13 [10/27 01:45:38] d2.evaluation.evaluator INFO: Inference done 5057/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:08 [10/27 01:45:43] d2.evaluation.evaluator INFO: Inference done 5162/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:00:04 [10/27 01:45:47] d2.evaluation.evaluator INFO: Total inference time: 0:03:40.168796 (0.041913 s / iter per device, on 1 devices) [10/27 01:45:47] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:31 (0.040271 s / iter per device, on 1 devices) [10/27 01:45:47] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/27 01:47:03] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/27 01:47:03] d2.evaluation.testing INFO: copypaste: Task: bbox [10/27 01:47:03] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/27 01:47:03] d2.evaluation.testing INFO: copypaste: 5.5917,12.2385,4.7616 [10/27 01:47:04] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/27 01:47:04] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/27 01:47:04] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/27 01:47:04] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/27 01:47:05] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0497 s/iter. Eval: 0.0006 s/iter. Total: 0.0514 s/iter. ETA=0:04:29 [10/27 01:47:10] d2.evaluation.evaluator INFO: Inference done 110/5258. Dataloading: 0.0011 s/iter. Inference: 0.0491 s/iter. Eval: 0.0005 s/iter. Total: 0.0507 s/iter. ETA=0:04:21 [10/27 01:47:15] d2.evaluation.evaluator INFO: Inference done 211/5258. Dataloading: 0.0011 s/iter. Inference: 0.0487 s/iter. Eval: 0.0005 s/iter. Total: 0.0504 s/iter. ETA=0:04:14 [10/27 01:47:21] d2.evaluation.evaluator INFO: Inference done 312/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:04:08 [10/27 01:47:26] d2.evaluation.evaluator INFO: Inference done 413/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:04:02 [10/27 01:47:31] d2.evaluation.evaluator INFO: Inference done 515/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:57 [10/27 01:47:36] d2.evaluation.evaluator INFO: Inference done 616/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:52 [10/27 01:47:41] d2.evaluation.evaluator INFO: Inference done 718/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:03:46 [10/27 01:47:46] d2.evaluation.evaluator INFO: Inference done 820/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:40 [10/27 01:47:51] d2.evaluation.evaluator INFO: Inference done 921/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:35 [10/27 01:47:56] d2.evaluation.evaluator INFO: Inference done 1022/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:30 [10/27 01:48:01] d2.evaluation.evaluator INFO: Inference done 1121/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:03:26 [10/27 01:48:06] d2.evaluation.evaluator INFO: Inference done 1219/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:21 [10/27 01:48:11] d2.evaluation.evaluator INFO: Inference done 1319/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:16 [10/27 01:48:16] d2.evaluation.evaluator INFO: Inference done 1418/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:12 [10/27 01:48:21] d2.evaluation.evaluator INFO: Inference done 1517/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:03:07 [10/27 01:48:26] d2.evaluation.evaluator INFO: Inference done 1618/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:03:02 [10/27 01:48:31] d2.evaluation.evaluator INFO: Inference done 1718/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:02:57 [10/27 01:48:36] d2.evaluation.evaluator INFO: Inference done 1821/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:02:51 [10/27 01:48:41] d2.evaluation.evaluator INFO: Inference done 1923/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:02:46 [10/27 01:48:46] d2.evaluation.evaluator INFO: Inference done 2022/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:02:41 [10/27 01:48:51] d2.evaluation.evaluator INFO: Inference done 2121/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:02:36 [10/27 01:48:56] d2.evaluation.evaluator INFO: Inference done 2221/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:02:31 [10/27 01:49:01] d2.evaluation.evaluator INFO: Inference done 2320/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:02:27 [10/27 01:49:06] d2.evaluation.evaluator INFO: Inference done 2420/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:02:22 [10/27 01:49:11] d2.evaluation.evaluator INFO: Inference done 2520/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:02:17 [10/27 01:49:16] d2.evaluation.evaluator INFO: Inference done 2620/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:02:12 [10/27 01:49:21] d2.evaluation.evaluator INFO: Inference done 2720/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:02:07 [10/27 01:49:26] d2.evaluation.evaluator INFO: Inference done 2819/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:02:02 [10/27 01:49:31] d2.evaluation.evaluator INFO: Inference done 2918/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:01:57 [10/27 01:49:36] d2.evaluation.evaluator INFO: Inference done 3019/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:01:52 [10/27 01:49:41] d2.evaluation.evaluator INFO: Inference done 3119/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:01:47 [10/27 01:49:46] d2.evaluation.evaluator INFO: Inference done 3218/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:01:42 [10/27 01:49:51] d2.evaluation.evaluator INFO: Inference done 3317/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:01:37 [10/27 01:49:56] d2.evaluation.evaluator INFO: Inference done 3418/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:01:32 [10/27 01:50:01] d2.evaluation.evaluator INFO: Inference done 3515/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:01:27 [10/27 01:50:06] d2.evaluation.evaluator INFO: Inference done 3616/5258. Dataloading: 0.0011 s/iter. Inference: 0.0486 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:01:22 [10/27 01:50:11] d2.evaluation.evaluator INFO: Inference done 3717/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:01:17 [10/27 01:50:16] d2.evaluation.evaluator INFO: Inference done 3819/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:01:12 [10/27 01:50:21] d2.evaluation.evaluator INFO: Inference done 3920/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:01:07 [10/27 01:50:26] d2.evaluation.evaluator INFO: Inference done 4020/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0502 s/iter. ETA=0:01:02 [10/27 01:50:32] d2.evaluation.evaluator INFO: Inference done 4121/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:00:57 [10/27 01:50:37] d2.evaluation.evaluator INFO: Inference done 4222/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:00:51 [10/27 01:50:42] d2.evaluation.evaluator INFO: Inference done 4322/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:00:46 [10/27 01:50:47] d2.evaluation.evaluator INFO: Inference done 4423/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:00:41 [10/27 01:50:52] d2.evaluation.evaluator INFO: Inference done 4528/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:00:36 [10/27 01:50:57] d2.evaluation.evaluator INFO: Inference done 4628/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:00:31 [10/27 01:51:02] d2.evaluation.evaluator INFO: Inference done 4729/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:00:26 [10/27 01:51:07] d2.evaluation.evaluator INFO: Inference done 4827/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:00:21 [10/27 01:51:12] d2.evaluation.evaluator INFO: Inference done 4927/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:00:16 [10/27 01:51:17] d2.evaluation.evaluator INFO: Inference done 5027/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:00:11 [10/27 01:51:22] d2.evaluation.evaluator INFO: Inference done 5128/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:00:06 [10/27 01:51:27] d2.evaluation.evaluator INFO: Inference done 5227/5258. Dataloading: 0.0011 s/iter. Inference: 0.0485 s/iter. Eval: 0.0005 s/iter. Total: 0.0501 s/iter. ETA=0:00:01 [10/27 01:51:28] d2.evaluation.evaluator INFO: Total inference time: 0:04:23.199015 (0.050105 s / iter per device, on 1 devices) [10/27 01:51:28] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:14 (0.048459 s / iter per device, on 1 devices) [10/27 01:51:28] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/27 01:52:38] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/27 01:52:38] d2.evaluation.testing INFO: copypaste: Task: bbox [10/27 01:52:38] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/27 01:52:38] d2.evaluation.testing INFO: copypaste: 6.1691,13.1676,5.5548 [10/27 01:52:38] d2.utils.events INFO: eta: 0:42:09 iter: 29599 total_loss: 2.559 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03574 loss_box_reg_sup: 0.3443 loss_rpn_cls_sup: 0.03087 loss_rpn_loc_sup: 0.2929 loss_cls_unsup: 0.2721 loss_box_reg_unsup: 0.5764 loss_rpn_cls_unsup: 0.3546 loss_rpn_loc_unsup: 0.6027 time: 6.1714 data_time: 0.8034 lr: 0.016 max_mem: 18367M [10/27 01:54:45] d2.utils.events INFO: eta: 0:40:02 iter: 29619 total_loss: 2.706 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03718 loss_box_reg_sup: 0.3376 loss_rpn_cls_sup: 0.0332 loss_rpn_loc_sup: 0.3077 loss_cls_unsup: 0.2845 loss_box_reg_unsup: 0.5775 loss_rpn_cls_unsup: 0.374 loss_rpn_loc_unsup: 0.6962 time: 6.1715 data_time: 0.8378 lr: 0.016 max_mem: 18367M [10/27 01:56:53] d2.utils.events INFO: eta: 0:37:55 iter: 29639 total_loss: 2.699 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03744 loss_box_reg_sup: 0.3244 loss_rpn_cls_sup: 0.03161 loss_rpn_loc_sup: 0.2868 loss_cls_unsup: 0.2802 loss_box_reg_unsup: 0.578 loss_rpn_cls_unsup: 0.375 loss_rpn_loc_unsup: 0.7318 time: 6.1717 data_time: 0.8284 lr: 0.016 max_mem: 18367M [10/27 01:58:59] d2.utils.events INFO: eta: 0:35:49 iter: 29659 total_loss: 2.784 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04091 loss_box_reg_sup: 0.3679 loss_rpn_cls_sup: 0.03505 loss_rpn_loc_sup: 0.3184 loss_cls_unsup: 0.2814 loss_box_reg_unsup: 0.5731 loss_rpn_cls_unsup: 0.3947 loss_rpn_loc_unsup: 0.762 time: 6.1718 data_time: 0.8229 lr: 0.016 max_mem: 18367M [10/27 02:01:08] d2.utils.events INFO: eta: 0:33:43 iter: 29679 total_loss: 2.789 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03819 loss_box_reg_sup: 0.3359 loss_rpn_cls_sup: 0.03695 loss_rpn_loc_sup: 0.316 loss_cls_unsup: 0.2865 loss_box_reg_unsup: 0.5824 loss_rpn_cls_unsup: 0.4085 loss_rpn_loc_unsup: 0.7702 time: 6.1720 data_time: 0.8594 lr: 0.016 max_mem: 18367M [10/27 02:03:17] d2.utils.events INFO: eta: 0:31:38 iter: 29699 total_loss: 2.783 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03704 loss_box_reg_sup: 0.3436 loss_rpn_cls_sup: 0.03436 loss_rpn_loc_sup: 0.2981 loss_cls_unsup: 0.283 loss_box_reg_unsup: 0.5939 loss_rpn_cls_unsup: 0.3629 loss_rpn_loc_unsup: 0.8032 time: 6.1721 data_time: 0.8158 lr: 0.016 max_mem: 18367M [10/27 02:05:24] d2.utils.events INFO: eta: 0:29:31 iter: 29719 total_loss: 2.767 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0371 loss_box_reg_sup: 0.3405 loss_rpn_cls_sup: 0.03406 loss_rpn_loc_sup: 0.3175 loss_cls_unsup: 0.2688 loss_box_reg_unsup: 0.6073 loss_rpn_cls_unsup: 0.3719 loss_rpn_loc_unsup: 0.7734 time: 6.1723 data_time: 0.8292 lr: 0.016 max_mem: 18367M [10/27 02:07:31] d2.utils.events INFO: eta: 0:27:25 iter: 29739 total_loss: 2.769 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0396 loss_box_reg_sup: 0.3662 loss_rpn_cls_sup: 0.03094 loss_rpn_loc_sup: 0.3056 loss_cls_unsup: 0.2747 loss_box_reg_unsup: 0.6198 loss_rpn_cls_unsup: 0.3743 loss_rpn_loc_unsup: 0.7771 time: 6.1724 data_time: 0.8139 lr: 0.016 max_mem: 18367M [10/27 02:09:40] d2.utils.events INFO: eta: 0:25:19 iter: 29759 total_loss: 2.763 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.04234 loss_box_reg_sup: 0.412 loss_rpn_cls_sup: 0.03805 loss_rpn_loc_sup: 0.3264 loss_cls_unsup: 0.2867 loss_box_reg_unsup: 0.5884 loss_rpn_cls_unsup: 0.3674 loss_rpn_loc_unsup: 0.722 time: 6.1726 data_time: 0.8786 lr: 0.016 max_mem: 18367M [10/27 02:11:48] d2.utils.events INFO: eta: 0:23:13 iter: 29779 total_loss: 2.562 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03588 loss_box_reg_sup: 0.3275 loss_rpn_cls_sup: 0.03336 loss_rpn_loc_sup: 0.2894 loss_cls_unsup: 0.2857 loss_box_reg_unsup: 0.5601 loss_rpn_cls_unsup: 0.3528 loss_rpn_loc_unsup: 0.6189 time: 6.1727 data_time: 0.8215 lr: 0.016 max_mem: 18367M [10/27 02:13:57] d2.utils.events INFO: eta: 0:21:06 iter: 29799 total_loss: 2.663 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0396 loss_box_reg_sup: 0.3376 loss_rpn_cls_sup: 0.03592 loss_rpn_loc_sup: 0.3125 loss_cls_unsup: 0.2909 loss_box_reg_unsup: 0.5796 loss_rpn_cls_unsup: 0.3623 loss_rpn_loc_unsup: 0.7299 time: 6.1729 data_time: 0.8365 lr: 0.016 max_mem: 18367M [10/27 02:16:05] d2.utils.events INFO: eta: 0:18:59 iter: 29819 total_loss: 2.75 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03779 loss_box_reg_sup: 0.3649 loss_rpn_cls_sup: 0.03145 loss_rpn_loc_sup: 0.3105 loss_cls_unsup: 0.2839 loss_box_reg_unsup: 0.6041 loss_rpn_cls_unsup: 0.3809 loss_rpn_loc_unsup: 0.7366 time: 6.1731 data_time: 0.8107 lr: 0.016 max_mem: 18367M [10/27 02:18:14] d2.utils.events INFO: eta: 0:16:53 iter: 29839 total_loss: 2.721 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03877 loss_box_reg_sup: 0.3611 loss_rpn_cls_sup: 0.03445 loss_rpn_loc_sup: 0.3143 loss_cls_unsup: 0.2858 loss_box_reg_unsup: 0.59 loss_rpn_cls_unsup: 0.3777 loss_rpn_loc_unsup: 0.6798 time: 6.1732 data_time: 0.8225 lr: 0.016 max_mem: 18367M [10/27 02:20:23] d2.utils.events INFO: eta: 0:14:46 iter: 29859 total_loss: 2.793 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0459 loss_box_reg_sup: 0.3894 loss_rpn_cls_sup: 0.03628 loss_rpn_loc_sup: 0.3159 loss_cls_unsup: 0.2815 loss_box_reg_unsup: 0.5784 loss_rpn_cls_unsup: 0.362 loss_rpn_loc_unsup: 0.8108 time: 6.1734 data_time: 0.8099 lr: 0.016 max_mem: 18367M [10/27 02:22:30] d2.utils.events INFO: eta: 0:12:39 iter: 29879 total_loss: 2.679 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03826 loss_box_reg_sup: 0.336 loss_rpn_cls_sup: 0.03788 loss_rpn_loc_sup: 0.3088 loss_cls_unsup: 0.2818 loss_box_reg_unsup: 0.5813 loss_rpn_cls_unsup: 0.3627 loss_rpn_loc_unsup: 0.6901 time: 6.1736 data_time: 0.8162 lr: 0.016 max_mem: 18367M [10/27 02:24:37] d2.utils.events INFO: eta: 0:10:33 iter: 29899 total_loss: 2.595 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03626 loss_box_reg_sup: 0.3543 loss_rpn_cls_sup: 0.03547 loss_rpn_loc_sup: 0.3298 loss_cls_unsup: 0.2759 loss_box_reg_unsup: 0.5628 loss_rpn_cls_unsup: 0.3617 loss_rpn_loc_unsup: 0.6968 time: 6.1737 data_time: 0.8565 lr: 0.016 max_mem: 18367M [10/27 02:26:46] d2.utils.events INFO: eta: 0:08:26 iter: 29919 total_loss: 2.633 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03692 loss_box_reg_sup: 0.3232 loss_rpn_cls_sup: 0.03405 loss_rpn_loc_sup: 0.3011 loss_cls_unsup: 0.2937 loss_box_reg_unsup: 0.6158 loss_rpn_cls_unsup: 0.3752 loss_rpn_loc_unsup: 0.6773 time: 6.1739 data_time: 0.8613 lr: 0.016 max_mem: 18367M [10/27 02:28:53] d2.utils.events INFO: eta: 0:06:20 iter: 29939 total_loss: 2.78 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03619 loss_box_reg_sup: 0.3346 loss_rpn_cls_sup: 0.03708 loss_rpn_loc_sup: 0.3184 loss_cls_unsup: 0.2864 loss_box_reg_unsup: 0.5684 loss_rpn_cls_unsup: 0.3709 loss_rpn_loc_unsup: 0.7977 time: 6.1740 data_time: 0.7977 lr: 0.016 max_mem: 18367M [10/27 02:31:04] d2.utils.events INFO: eta: 0:04:13 iter: 29959 total_loss: 2.736 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.0424 loss_box_reg_sup: 0.351 loss_rpn_cls_sup: 0.03558 loss_rpn_loc_sup: 0.3221 loss_cls_unsup: 0.2781 loss_box_reg_unsup: 0.5732 loss_rpn_cls_unsup: 0.3675 loss_rpn_loc_unsup: 0.7001 time: 6.1742 data_time: 0.8525 lr: 0.016 max_mem: 18367M [10/27 02:33:10] d2.utils.events INFO: eta: 0:02:06 iter: 29979 total_loss: 2.596 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03579 loss_box_reg_sup: 0.3283 loss_rpn_cls_sup: 0.03468 loss_rpn_loc_sup: 0.2774 loss_cls_unsup: 0.2824 loss_box_reg_unsup: 0.5658 loss_rpn_cls_unsup: 0.3651 loss_rpn_loc_unsup: 0.6667 time: 6.1743 data_time: 0.7848 lr: 0.016 max_mem: 18367M [10/27 02:35:16] fvcore.common.checkpoint INFO: Saving checkpoint to ./output/k2bdd/model_final.pth [10/27 02:35:17] d2.utils.events INFO: eta: 0:00:00 iter: 29999 total_loss: 2.527 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03474 loss_box_reg_sup: 0.3445 loss_rpn_cls_sup: 0.03289 loss_rpn_loc_sup: 0.289 loss_cls_unsup: 0.2882 loss_box_reg_unsup: 0.5455 loss_rpn_cls_unsup: 0.3614 loss_rpn_loc_unsup: 0.636 time: 6.1744 data_time: 0.8362 lr: 0.016 max_mem: 18367M [10/27 02:35:17] d2.engine.hooks INFO: Overall training speed: 29997 iterations in 2 days, 3:27:00 (6.1746 s / it) [10/27 02:35:17] d2.engine.hooks INFO: Total training time: 2 days, 16:25:23 (12:58:23 on hooks) [10/27 02:35:23] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/27 02:35:24] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/27 02:35:24] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/27 02:35:24] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/27 02:35:25] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0010 s/iter. Inference: 0.0467 s/iter. Eval: 0.0013 s/iter. Total: 0.0490 s/iter. ETA=0:04:17 [10/27 02:35:30] d2.evaluation.evaluator INFO: Inference done 122/5258. Dataloading: 0.0012 s/iter. Inference: 0.0436 s/iter. Eval: 0.0005 s/iter. Total: 0.0454 s/iter. ETA=0:03:53 [10/27 02:35:35] d2.evaluation.evaluator INFO: Inference done 227/5258. Dataloading: 0.0013 s/iter. Inference: 0.0448 s/iter. Eval: 0.0005 s/iter. Total: 0.0466 s/iter. ETA=0:03:54 [10/27 02:35:40] d2.evaluation.evaluator INFO: Inference done 351/5258. Dataloading: 0.0012 s/iter. Inference: 0.0427 s/iter. Eval: 0.0005 s/iter. Total: 0.0444 s/iter. ETA=0:03:38 [10/27 02:35:45] d2.evaluation.evaluator INFO: Inference done 466/5258. Dataloading: 0.0012 s/iter. Inference: 0.0425 s/iter. Eval: 0.0005 s/iter. Total: 0.0442 s/iter. ETA=0:03:31 [10/27 02:35:50] d2.evaluation.evaluator INFO: Inference done 587/5258. Dataloading: 0.0012 s/iter. Inference: 0.0420 s/iter. Eval: 0.0005 s/iter. Total: 0.0437 s/iter. ETA=0:03:23 [10/27 02:35:55] d2.evaluation.evaluator INFO: Inference done 709/5258. Dataloading: 0.0011 s/iter. Inference: 0.0415 s/iter. Eval: 0.0005 s/iter. Total: 0.0432 s/iter. ETA=0:03:16 [10/27 02:36:00] d2.evaluation.evaluator INFO: Inference done 831/5258. Dataloading: 0.0011 s/iter. Inference: 0.0413 s/iter. Eval: 0.0005 s/iter. Total: 0.0429 s/iter. ETA=0:03:10 [10/27 02:36:05] d2.evaluation.evaluator INFO: Inference done 954/5258. Dataloading: 0.0011 s/iter. Inference: 0.0410 s/iter. Eval: 0.0005 s/iter. Total: 0.0427 s/iter. ETA=0:03:03 [10/27 02:36:10] d2.evaluation.evaluator INFO: Inference done 1076/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:02:57 [10/27 02:36:15] d2.evaluation.evaluator INFO: Inference done 1199/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:02:51 [10/27 02:36:20] d2.evaluation.evaluator INFO: Inference done 1322/5258. Dataloading: 0.0011 s/iter. Inference: 0.0405 s/iter. Eval: 0.0005 s/iter. Total: 0.0422 s/iter. ETA=0:02:46 [10/27 02:36:25] d2.evaluation.evaluator INFO: Inference done 1435/5258. Dataloading: 0.0011 s/iter. Inference: 0.0407 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:02:41 [10/27 02:36:30] d2.evaluation.evaluator INFO: Inference done 1550/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:02:37 [10/27 02:36:35] d2.evaluation.evaluator INFO: Inference done 1666/5258. Dataloading: 0.0011 s/iter. Inference: 0.0409 s/iter. Eval: 0.0005 s/iter. Total: 0.0425 s/iter. ETA=0:02:32 [10/27 02:36:40] d2.evaluation.evaluator INFO: Inference done 1789/5258. Dataloading: 0.0011 s/iter. Inference: 0.0408 s/iter. Eval: 0.0005 s/iter. Total: 0.0424 s/iter. ETA=0:02:27 [10/27 02:36:45] d2.evaluation.evaluator INFO: Inference done 1913/5258. Dataloading: 0.0011 s/iter. Inference: 0.0406 s/iter. Eval: 0.0005 s/iter. Total: 0.0423 s/iter. ETA=0:02:21 [10/27 02:36:50] d2.evaluation.evaluator INFO: Inference done 2042/5258. Dataloading: 0.0011 s/iter. Inference: 0.0404 s/iter. Eval: 0.0005 s/iter. Total: 0.0421 s/iter. ETA=0:02:15 [10/27 02:36:55] d2.evaluation.evaluator INFO: Inference done 2168/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:02:09 [10/27 02:37:00] d2.evaluation.evaluator INFO: Inference done 2292/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:02:04 [10/27 02:37:05] d2.evaluation.evaluator INFO: Inference done 2410/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:01:59 [10/27 02:37:10] d2.evaluation.evaluator INFO: Inference done 2533/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:01:53 [10/27 02:37:15] d2.evaluation.evaluator INFO: Inference done 2649/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:01:49 [10/27 02:37:20] d2.evaluation.evaluator INFO: Inference done 2765/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:01:44 [10/27 02:37:25] d2.evaluation.evaluator INFO: Inference done 2883/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:01:39 [10/27 02:37:30] d2.evaluation.evaluator INFO: Inference done 3007/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:01:34 [10/27 02:37:35] d2.evaluation.evaluator INFO: Inference done 3123/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0420 s/iter. ETA=0:01:29 [10/27 02:37:40] d2.evaluation.evaluator INFO: Inference done 3247/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:01:24 [10/27 02:37:45] d2.evaluation.evaluator INFO: Inference done 3364/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:01:19 [10/27 02:37:50] d2.evaluation.evaluator INFO: Inference done 3484/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:01:14 [10/27 02:37:55] d2.evaluation.evaluator INFO: Inference done 3605/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:01:09 [10/27 02:38:00] d2.evaluation.evaluator INFO: Inference done 3729/5258. Dataloading: 0.0011 s/iter. Inference: 0.0403 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:01:04 [10/27 02:38:05] d2.evaluation.evaluator INFO: Inference done 3852/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:58 [10/27 02:38:10] d2.evaluation.evaluator INFO: Inference done 3973/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:53 [10/27 02:38:15] d2.evaluation.evaluator INFO: Inference done 4092/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:00:48 [10/27 02:38:20] d2.evaluation.evaluator INFO: Inference done 4218/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:43 [10/27 02:38:25] d2.evaluation.evaluator INFO: Inference done 4339/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:38 [10/27 02:38:31] d2.evaluation.evaluator INFO: Inference done 4460/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:33 [10/27 02:38:36] d2.evaluation.evaluator INFO: Inference done 4584/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0417 s/iter. ETA=0:00:28 [10/27 02:38:41] d2.evaluation.evaluator INFO: Inference done 4702/5258. Dataloading: 0.0011 s/iter. Inference: 0.0401 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:23 [10/27 02:38:46] d2.evaluation.evaluator INFO: Inference done 4820/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:18 [10/27 02:38:51] d2.evaluation.evaluator INFO: Inference done 4934/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:13 [10/27 02:38:56] d2.evaluation.evaluator INFO: Inference done 5053/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0418 s/iter. ETA=0:00:08 [10/27 02:39:01] d2.evaluation.evaluator INFO: Inference done 5169/5258. Dataloading: 0.0011 s/iter. Inference: 0.0402 s/iter. Eval: 0.0005 s/iter. Total: 0.0419 s/iter. ETA=0:00:03 [10/27 02:39:04] d2.evaluation.evaluator INFO: Total inference time: 0:03:40.054375 (0.041891 s / iter per device, on 1 devices) [10/27 02:39:04] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:03:31 (0.040251 s / iter per device, on 1 devices) [10/27 02:39:04] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/27 02:40:12] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/27 02:40:12] d2.evaluation.testing INFO: copypaste: Task: bbox [10/27 02:40:12] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/27 02:40:12] d2.evaluation.testing INFO: copypaste: 5.6576,12.2859,4.9250 [10/27 02:40:13] d2.data.common INFO: Serializing 5258 elements to byte tensors and concatenating them all ... [10/27 02:40:13] d2.data.common INFO: Serialized dataset takes 5.60 MiB [10/27 02:40:13] d2.data.dataset_mapper INFO: [DatasetMapper] Augmentations used in inference: [ResizeShortestEdge(short_edge_length=(600, 600), max_size=1333, sample_style='choice')] [10/27 02:40:14] d2.evaluation.evaluator INFO: Start inference on 5258 batches [10/27 02:40:14] d2.evaluation.evaluator INFO: Inference done 11/5258. Dataloading: 0.0009 s/iter. Inference: 0.0484 s/iter. Eval: 0.0006 s/iter. Total: 0.0499 s/iter. ETA=0:04:21 [10/27 02:40:20] d2.evaluation.evaluator INFO: Inference done 113/5258. Dataloading: 0.0011 s/iter. Inference: 0.0476 s/iter. Eval: 0.0005 s/iter. Total: 0.0491 s/iter. ETA=0:04:12 [10/27 02:40:25] d2.evaluation.evaluator INFO: Inference done 213/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:04:10 [10/27 02:40:30] d2.evaluation.evaluator INFO: Inference done 314/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:04:05 [10/27 02:40:35] d2.evaluation.evaluator INFO: Inference done 415/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:04:00 [10/27 02:40:40] d2.evaluation.evaluator INFO: Inference done 516/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:55 [10/27 02:40:45] d2.evaluation.evaluator INFO: Inference done 618/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:50 [10/27 02:40:50] d2.evaluation.evaluator INFO: Inference done 719/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:45 [10/27 02:40:55] d2.evaluation.evaluator INFO: Inference done 820/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:03:40 [10/27 02:41:00] d2.evaluation.evaluator INFO: Inference done 921/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:35 [10/27 02:41:05] d2.evaluation.evaluator INFO: Inference done 1022/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:30 [10/27 02:41:10] d2.evaluation.evaluator INFO: Inference done 1122/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:25 [10/27 02:41:15] d2.evaluation.evaluator INFO: Inference done 1223/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:20 [10/27 02:41:20] d2.evaluation.evaluator INFO: Inference done 1325/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:15 [10/27 02:41:25] d2.evaluation.evaluator INFO: Inference done 1426/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:10 [10/27 02:41:30] d2.evaluation.evaluator INFO: Inference done 1526/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:05 [10/27 02:41:35] d2.evaluation.evaluator INFO: Inference done 1626/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:03:00 [10/27 02:41:40] d2.evaluation.evaluator INFO: Inference done 1728/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:55 [10/27 02:41:45] d2.evaluation.evaluator INFO: Inference done 1828/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:50 [10/27 02:41:50] d2.evaluation.evaluator INFO: Inference done 1930/5258. Dataloading: 0.0011 s/iter. Inference: 0.0481 s/iter. Eval: 0.0005 s/iter. Total: 0.0497 s/iter. ETA=0:02:45 [10/27 02:41:55] d2.evaluation.evaluator INFO: Inference done 2030/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:40 [10/27 02:42:00] d2.evaluation.evaluator INFO: Inference done 2131/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:35 [10/27 02:42:05] d2.evaluation.evaluator INFO: Inference done 2232/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:30 [10/27 02:42:10] d2.evaluation.evaluator INFO: Inference done 2332/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:25 [10/27 02:42:15] d2.evaluation.evaluator INFO: Inference done 2433/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:20 [10/27 02:42:20] d2.evaluation.evaluator INFO: Inference done 2534/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:15 [10/27 02:42:25] d2.evaluation.evaluator INFO: Inference done 2635/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:10 [10/27 02:42:30] d2.evaluation.evaluator INFO: Inference done 2734/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:02:05 [10/27 02:42:35] d2.evaluation.evaluator INFO: Inference done 2832/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:02:00 [10/27 02:42:40] d2.evaluation.evaluator INFO: Inference done 2933/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:55 [10/27 02:42:45] d2.evaluation.evaluator INFO: Inference done 3033/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:50 [10/27 02:42:50] d2.evaluation.evaluator INFO: Inference done 3133/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:45 [10/27 02:42:55] d2.evaluation.evaluator INFO: Inference done 3235/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:40 [10/27 02:43:00] d2.evaluation.evaluator INFO: Inference done 3337/5258. Dataloading: 0.0011 s/iter. Inference: 0.0482 s/iter. Eval: 0.0005 s/iter. Total: 0.0498 s/iter. ETA=0:01:35 [10/27 02:43:05] d2.evaluation.evaluator INFO: Inference done 3436/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:30 [10/27 02:43:10] d2.evaluation.evaluator INFO: Inference done 3534/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:26 [10/27 02:43:15] d2.evaluation.evaluator INFO: Inference done 3634/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:21 [10/27 02:43:20] d2.evaluation.evaluator INFO: Inference done 3733/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:16 [10/27 02:43:25] d2.evaluation.evaluator INFO: Inference done 3832/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:01:11 [10/27 02:43:30] d2.evaluation.evaluator INFO: Inference done 3932/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:01:06 [10/27 02:43:35] d2.evaluation.evaluator INFO: Inference done 4031/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:01:01 [10/27 02:43:40] d2.evaluation.evaluator INFO: Inference done 4131/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:56 [10/27 02:43:45] d2.evaluation.evaluator INFO: Inference done 4234/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:00:51 [10/27 02:43:50] d2.evaluation.evaluator INFO: Inference done 4336/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:00:46 [10/27 02:43:55] d2.evaluation.evaluator INFO: Inference done 4436/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:00:41 [10/27 02:44:00] d2.evaluation.evaluator INFO: Inference done 4536/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0499 s/iter. ETA=0:00:36 [10/27 02:44:05] d2.evaluation.evaluator INFO: Inference done 4635/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:31 [10/27 02:44:11] d2.evaluation.evaluator INFO: Inference done 4736/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:26 [10/27 02:44:16] d2.evaluation.evaluator INFO: Inference done 4835/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:21 [10/27 02:44:21] d2.evaluation.evaluator INFO: Inference done 4937/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:16 [10/27 02:44:26] d2.evaluation.evaluator INFO: Inference done 5037/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:11 [10/27 02:44:31] d2.evaluation.evaluator INFO: Inference done 5138/5258. Dataloading: 0.0011 s/iter. Inference: 0.0483 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:05 [10/27 02:44:36] d2.evaluation.evaluator INFO: Inference done 5237/5258. Dataloading: 0.0011 s/iter. Inference: 0.0484 s/iter. Eval: 0.0005 s/iter. Total: 0.0500 s/iter. ETA=0:00:01 [10/27 02:44:37] d2.evaluation.evaluator INFO: Total inference time: 0:04:22.503289 (0.049972 s / iter per device, on 1 devices) [10/27 02:44:37] d2.evaluation.evaluator INFO: Total inference pure compute time: 0:04:13 (0.048348 s / iter per device, on 1 devices) [10/27 02:44:37] d2.evaluation.pascal_voc_evaluation INFO: Evaluating VOC2007_bddval using 2012 metric. Note that results do not use the official Matlab API. [10/27 02:45:47] d2.engine.defaults INFO: Evaluation results for VOC2007_bddval in csv format: [10/27 02:45:47] d2.evaluation.testing INFO: copypaste: Task: bbox [10/27 02:45:47] d2.evaluation.testing INFO: copypaste: AP,AP50,AP75 [10/27 02:45:47] d2.evaluation.testing INFO: copypaste: 6.1752,13.2248,5.5563 [10/27 02:45:47] d2.utils.events INFO: eta: 0:00:00 iter: 29999 total_loss: 2.527 loss_cls: 0.04166 loss_box_reg: 0.3505 loss_rpn_cls: 0.03211 loss_rpn_loc: 0.3247 loss_cls_sup: 0.03474 loss_box_reg_sup: 0.3445 loss_rpn_cls_sup: 0.03289 loss_rpn_loc_sup: 0.289 loss_cls_unsup: 0.2882 loss_box_reg_unsup: 0.5455 loss_rpn_cls_unsup: 0.3614 loss_rpn_loc_unsup: 0.636 time: 6.1744 data_time: 0.8362 lr: 0.016 max_mem: 18367M