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20220131_012835.log
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2022-01-31 01:28:35,651 - mmseg - INFO - Environment info:
------------------------------------------------------------
sys.platform: linux
Python: 3.8.5 (default, Sep 4 2020, 07:30:14) [GCC 7.3.0]
CUDA available: True
GPU 0,1,2,3,4,5,6,7: GeForce RTX 3090
CUDA_HOME: /usr/local/cuda
NVCC: Build cuda_11.2.r11.2/compiler.29618528_0
GCC: gcc (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
PyTorch: 1.8.1
PyTorch compiling details: PyTorch built with:
- GCC 7.3
- C++ Version: 201402
- Intel(R) Math Kernel Library Version 2020.0.2 Product Build 20200624 for Intel(R) 64 architecture applications
- Intel(R) MKL-DNN v1.7.0 (Git Hash 7aed236906b1f7a05c0917e5257a1af05e9ff683)
- OpenMP 201511 (a.k.a. OpenMP 4.5)
- NNPACK is enabled
- CPU capability usage: AVX2
- CUDA Runtime 11.1
- 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_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37
- CuDNN 8.0.5
- Magma 2.5.2
- Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.1, CUDNN_VERSION=8.0.5, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -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=1.8.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON,
TorchVision: 0.9.1
OpenCV: 4.5.2
MMCV: 1.3.0
MMCV Compiler: GCC 7.5
MMCV CUDA Compiler: 11.2
MMSegmentation: 0.11.0+8dc1160
------------------------------------------------------------
2022-01-31 01:28:35,654 - mmseg - INFO - Distributed training: True
2022-01-31 01:28:35,961 - mmseg - INFO - Config:
norm_cfg = dict(type='SyncBN', requires_grad=True)
model = dict(
type='EncoderDecoder',
pretrained='/xiangli/mae/pretrain/mae_pretrain_vit_base.pth',
backbone=dict(
type='MAE',
patch_size=16,
embed_dim=768,
depth=12,
num_heads=12,
mlp_ratio=4,
qkv_bias=True,
use_abs_pos_emb=True,
use_rel_pos_bias=True,
img_size=512,
init_values=1.0,
drop_path_rate=0.1,
out_indices=[3, 5, 7, 11]),
decode_head=dict(
type='UPerHead',
in_channels=[768, 768, 768, 768],
in_index=[0, 1, 2, 3],
pool_scales=(1, 2, 3, 6),
channels=768,
dropout_ratio=0.1,
num_classes=150,
norm_cfg=dict(type='SyncBN', requires_grad=True),
align_corners=False,
loss_decode=dict(
type='CrossEntropyLoss', use_sigmoid=False, loss_weight=1.0)),
auxiliary_head=dict(
type='FCNHead',
in_channels=768,
in_index=2,
channels=256,
num_convs=1,
concat_input=False,
dropout_ratio=0.1,
num_classes=150,
norm_cfg=dict(type='SyncBN', requires_grad=True),
align_corners=False,
loss_decode=dict(
type='CrossEntropyLoss', use_sigmoid=False, loss_weight=0.4)),
train_cfg=dict(),
test_cfg=dict(mode='slide', crop_size=(512, 512), stride=(341, 341)))
dataset_type = 'ADE20KDataset'
data_root = '/opt/data/common/ade/ADEChallengeData2016'
img_norm_cfg = dict(
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
crop_size = (512, 512)
train_pipeline = [
dict(type='LoadImageFromFile'),
dict(type='LoadAnnotations', reduce_zero_label=True),
dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),
dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),
dict(type='RandomFlip', prob=0.5),
dict(type='PhotoMetricDistortion'),
dict(
type='Normalize',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
to_rgb=True),
dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=255),
dict(type='DefaultFormatBundle'),
dict(type='Collect', keys=['img', 'gt_semantic_seg'])
]
test_pipeline = [
dict(type='LoadImageFromFile'),
dict(
type='MultiScaleFlipAug',
img_scale=(2048, 512),
flip=False,
transforms=[
dict(type='Resize', keep_ratio=True),
dict(type='RandomFlip'),
dict(
type='Normalize',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
to_rgb=True),
dict(type='ImageToTensor', keys=['img']),
dict(type='Collect', keys=['img'])
])
]
data = dict(
samples_per_gpu=2,
workers_per_gpu=4,
train=dict(
type='ADE20KDataset',
data_root='/opt/data/common/ade/ADEChallengeData2016',
img_dir='images/training',
ann_dir='annotations/training',
pipeline=[
dict(type='LoadImageFromFile'),
dict(type='LoadAnnotations', reduce_zero_label=True),
dict(type='Resize', img_scale=(2048, 512), ratio_range=(0.5, 2.0)),
dict(type='RandomCrop', crop_size=(512, 512), cat_max_ratio=0.75),
dict(type='RandomFlip', prob=0.5),
dict(type='PhotoMetricDistortion'),
dict(
type='Normalize',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
to_rgb=True),
dict(type='Pad', size=(512, 512), pad_val=0, seg_pad_val=255),
dict(type='DefaultFormatBundle'),
dict(type='Collect', keys=['img', 'gt_semantic_seg'])
]),
val=dict(
type='ADE20KDataset',
data_root='/opt/data/common/ade/ADEChallengeData2016',
img_dir='images/validation',
ann_dir='annotations/validation',
pipeline=[
dict(type='LoadImageFromFile'),
dict(
type='MultiScaleFlipAug',
img_scale=(2048, 512),
flip=False,
transforms=[
dict(type='Resize', keep_ratio=True),
dict(type='RandomFlip'),
dict(
type='Normalize',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
to_rgb=True),
dict(type='ImageToTensor', keys=['img']),
dict(type='Collect', keys=['img'])
])
]),
test=dict(
type='ADE20KDataset',
data_root='/opt/data/common/ade/ADEChallengeData2016',
img_dir='images/validation',
ann_dir='annotations/validation',
pipeline=[
dict(type='LoadImageFromFile'),
dict(
type='MultiScaleFlipAug',
img_scale=(2048, 512),
flip=False,
transforms=[
dict(type='Resize', keep_ratio=True),
dict(type='RandomFlip'),
dict(
type='Normalize',
mean=[123.675, 116.28, 103.53],
std=[58.395, 57.12, 57.375],
to_rgb=True),
dict(type='ImageToTensor', keys=['img']),
dict(type='Collect', keys=['img'])
])
]))
log_config = dict(
interval=50, hooks=[dict(type='TextLoggerHook', by_epoch=False)])
dist_params = dict(backend='nccl')
log_level = 'INFO'
load_from = None
resume_from = None
workflow = [('train', 1)]
cudnn_benchmark = True
optimizer = dict(
type='AdamW',
lr=0.0001,
betas=(0.9, 0.999),
weight_decay=0.05,
constructor='LayerDecayOptimizerConstructor',
paramwise_cfg=dict(num_layers=12, layer_decay_rate=0.65))
optimizer_config = dict(
type='DistOptimizerHook',
update_interval=1,
grad_clip=None,
coalesce=True,
bucket_size_mb=-1,
use_fp16=True)
lr_config = dict(
policy='poly',
warmup='linear',
warmup_iters=1500,
warmup_ratio=1e-06,
power=1.0,
min_lr=0.0,
by_epoch=False)
runner = dict(type='IterBasedRunnerAmp', max_iters=160000)
checkpoint_config = dict(by_epoch=False, interval=16000)
evaluation = dict(interval=16000, metric='mIoU')
fp16 = None
work_dir = './work_dirs/upernet_mae_base_12_512_slide_160k_ade20k_iv1_qkv_bs16_lr1e4_pt'
gpu_ids = range(0, 1)
2022-01-31 01:28:35,963 - mmseg - INFO - Set random seed to 0, deterministic: False
2022-01-31 01:28:39,186 - mmseg - WARNING - The model and loaded state dict do not match exactly
unexpected key in source state_dict: norm.weight, norm.bias
missing keys in source state_dict: blocks.0.gamma_1, blocks.0.gamma_2, blocks.0.attn.relative_position_bias_table, blocks.0.attn.relative_position_index, blocks.1.gamma_1, blocks.1.gamma_2, blocks.1.attn.relative_position_bias_table, blocks.1.attn.relative_position_index, blocks.2.gamma_1, blocks.2.gamma_2, blocks.2.attn.relative_position_bias_table, blocks.2.attn.relative_position_index, blocks.3.gamma_1, blocks.3.gamma_2, blocks.3.attn.relative_position_bias_table, blocks.3.attn.relative_position_index, blocks.4.gamma_1, blocks.4.gamma_2, blocks.4.attn.relative_position_bias_table, blocks.4.attn.relative_position_index, blocks.5.gamma_1, blocks.5.gamma_2, blocks.5.attn.relative_position_bias_table, blocks.5.attn.relative_position_index, blocks.6.gamma_1, blocks.6.gamma_2, blocks.6.attn.relative_position_bias_table, blocks.6.attn.relative_position_index, blocks.7.gamma_1, blocks.7.gamma_2, blocks.7.attn.relative_position_bias_table, blocks.7.attn.relative_position_index, blocks.8.gamma_1, blocks.8.gamma_2, blocks.8.attn.relative_position_bias_table, blocks.8.attn.relative_position_index, blocks.9.gamma_1, blocks.9.gamma_2, blocks.9.attn.relative_position_bias_table, blocks.9.attn.relative_position_index, blocks.10.gamma_1, blocks.10.gamma_2, blocks.10.attn.relative_position_bias_table, blocks.10.attn.relative_position_index, blocks.11.gamma_1, blocks.11.gamma_2, blocks.11.attn.relative_position_bias_table, blocks.11.attn.relative_position_index, fpn1.0.weight, fpn1.0.bias, fpn1.1.weight, fpn1.1.bias, fpn1.1.running_mean, fpn1.1.running_var, fpn1.3.weight, fpn1.3.bias, fpn2.0.weight, fpn2.0.bias
2022-01-31 01:28:39,190 - mmseg - INFO - EncoderDecoder(
(backbone): MAE(
(patch_embed): PatchEmbed(
(proj): Conv2d(3, 768, kernel_size=(16, 16), stride=(16, 16))
)
(pos_drop): Dropout(p=0.0, inplace=False)
(blocks): ModuleList(
(0): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(drop_path): Identity()
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop): Dropout(p=0.0, inplace=False)
)
)
(1): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(drop_path): DropPath(p=0.00909090880304575)
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop): Dropout(p=0.0, inplace=False)
)
)
(2): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(drop_path): DropPath(p=0.0181818176060915)
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop): Dropout(p=0.0, inplace=False)
)
)
(3): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(drop_path): DropPath(p=0.027272727340459824)
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop): Dropout(p=0.0, inplace=False)
)
)
(4): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(drop_path): DropPath(p=0.036363635212183)
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop): Dropout(p=0.0, inplace=False)
)
)
(5): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(drop_path): DropPath(p=0.045454543083906174)
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop): Dropout(p=0.0, inplace=False)
)
)
(6): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(drop_path): DropPath(p=0.054545458406209946)
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop): Dropout(p=0.0, inplace=False)
)
)
(7): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(drop_path): DropPath(p=0.06363636255264282)
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop): Dropout(p=0.0, inplace=False)
)
)
(8): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(drop_path): DropPath(p=0.0727272778749466)
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop): Dropout(p=0.0, inplace=False)
)
)
(9): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(drop_path): DropPath(p=0.08181818574666977)
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop): Dropout(p=0.0, inplace=False)
)
)
(10): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(drop_path): DropPath(p=0.09090909361839294)
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop): Dropout(p=0.0, inplace=False)
)
)
(11): Block(
(norm1): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(attn): Attention(
(qkv): Linear(in_features=768, out_features=2304, bias=True)
(attn_drop): Dropout(p=0.0, inplace=False)
(proj): Linear(in_features=768, out_features=768, bias=True)
(proj_drop): Dropout(p=0.0, inplace=False)
)
(drop_path): DropPath(p=0.10000000149011612)
(norm2): LayerNorm((768,), eps=1e-06, elementwise_affine=True)
(mlp): Mlp(
(fc1): Linear(in_features=768, out_features=3072, bias=True)
(act): GELU()
(fc2): Linear(in_features=3072, out_features=768, bias=True)
(drop): Dropout(p=0.0, inplace=False)
)
)
)
(fpn1): Sequential(
(0): ConvTranspose2d(768, 768, kernel_size=(2, 2), stride=(2, 2))
(1): SyncBatchNorm(768, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(2): GELU()
(3): ConvTranspose2d(768, 768, kernel_size=(2, 2), stride=(2, 2))
)
(fpn2): Sequential(
(0): ConvTranspose2d(768, 768, kernel_size=(2, 2), stride=(2, 2))
)
(fpn3): Identity()
(fpn4): MaxPool2d(kernel_size=2, stride=2, padding=0, dilation=1, ceil_mode=False)
)
(decode_head): UPerHead(
input_transform=multiple_select, ignore_index=255, align_corners=False
(loss_decode): CrossEntropyLoss()
(conv_seg): Conv2d(768, 150, kernel_size=(1, 1), stride=(1, 1))
(dropout): Dropout2d(p=0.1, inplace=False)
(psp_modules): PPM(
(0): Sequential(
(0): AdaptiveAvgPool2d(output_size=1)
(1): ConvModule(
(conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn): SyncBatchNorm(768, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(activate): ReLU(inplace=True)
)
)
(1): Sequential(
(0): AdaptiveAvgPool2d(output_size=2)
(1): ConvModule(
(conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn): SyncBatchNorm(768, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(activate): ReLU(inplace=True)
)
)
(2): Sequential(
(0): AdaptiveAvgPool2d(output_size=3)
(1): ConvModule(
(conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn): SyncBatchNorm(768, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(activate): ReLU(inplace=True)
)
)
(3): Sequential(
(0): AdaptiveAvgPool2d(output_size=6)
(1): ConvModule(
(conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn): SyncBatchNorm(768, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(activate): ReLU(inplace=True)
)
)
)
(bottleneck): ConvModule(
(conv): Conv2d(3840, 768, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn): SyncBatchNorm(768, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(activate): ReLU(inplace=True)
)
(lateral_convs): ModuleList(
(0): ConvModule(
(conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn): SyncBatchNorm(768, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(activate): ReLU()
)
(1): ConvModule(
(conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn): SyncBatchNorm(768, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(activate): ReLU()
)
(2): ConvModule(
(conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False)
(bn): SyncBatchNorm(768, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(activate): ReLU()
)
)
(fpn_convs): ModuleList(
(0): ConvModule(
(conv): Conv2d(768, 768, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn): SyncBatchNorm(768, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(activate): ReLU()
)
(1): ConvModule(
(conv): Conv2d(768, 768, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn): SyncBatchNorm(768, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(activate): ReLU()
)
(2): ConvModule(
(conv): Conv2d(768, 768, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn): SyncBatchNorm(768, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(activate): ReLU()
)
)
(fpn_bottleneck): ConvModule(
(conv): Conv2d(3072, 768, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn): SyncBatchNorm(768, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(activate): ReLU(inplace=True)
)
)
(auxiliary_head): FCNHead(
input_transform=None, ignore_index=255, align_corners=False
(loss_decode): CrossEntropyLoss()
(conv_seg): Conv2d(256, 150, kernel_size=(1, 1), stride=(1, 1))
(dropout): Dropout2d(p=0.1, inplace=False)
(convs): Sequential(
(0): ConvModule(
(conv): Conv2d(768, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
(bn): SyncBatchNorm(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)
(activate): ReLU(inplace=True)
)
)
)
)
2022-01-31 01:28:39,486 - mmseg - INFO - Loaded 20210 images
2022-01-31 01:28:44,292 - mmseg - INFO - Loaded 2000 images
2022-01-31 01:28:44,294 - mmseg - INFO - Start running, host: root@interactive5672, work_dir: /opt/data/private/SMP/unilm/beit/semantic_segmentation/work_dirs/upernet_mae_base_12_512_slide_160k_ade20k_iv1_qkv_bs16_lr1e4_pt
2022-01-31 01:28:44,295 - mmseg - INFO - workflow: [('train', 1)], max: 160000 iters
2022-01-31 01:29:39,855 - mmseg - INFO - Iter [50/160000] lr: 1.207e-08, eta: 1 day, 15:32:17, time: 0.890, data_time: 0.011, memory: 21005, decode.loss_seg: 4.0010, decode.acc_seg: 2.7567, aux.loss_seg: 1.6287, aux.acc_seg: 0.2002, loss: 5.6297
2022-01-31 01:30:08,869 - mmseg - INFO - Iter [100/160000] lr: 2.439e-08, eta: 1 day, 8:38:40, time: 0.580, data_time: 0.004, memory: 21005, decode.loss_seg: 3.6840, decode.acc_seg: 16.0821, aux.loss_seg: 1.5807, aux.acc_seg: 0.2578, loss: 5.2647
2022-01-31 01:30:38,177 - mmseg - INFO - Iter [150/160000] lr: 3.669e-08, eta: 1 day, 6:26:08, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 3.4471, decode.acc_seg: 26.6551, aux.loss_seg: 1.6381, aux.acc_seg: 1.3300, loss: 5.0852
2022-01-31 01:31:07,433 - mmseg - INFO - Iter [200/160000] lr: 4.899e-08, eta: 1 day, 5:18:32, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 3.0434, decode.acc_seg: 29.4227, aux.loss_seg: 1.5890, aux.acc_seg: 7.9815, loss: 4.6324
2022-01-31 01:31:36,839 - mmseg - INFO - Iter [250/160000] lr: 6.128e-08, eta: 1 day, 4:39:43, time: 0.588, data_time: 0.004, memory: 21005, decode.loss_seg: 2.7723, decode.acc_seg: 32.0249, aux.loss_seg: 1.5662, aux.acc_seg: 15.2726, loss: 4.3385
2022-01-31 01:32:06,246 - mmseg - INFO - Iter [300/160000] lr: 7.356e-08, eta: 1 day, 4:13:32, time: 0.588, data_time: 0.004, memory: 21005, decode.loss_seg: 2.5471, decode.acc_seg: 35.3148, aux.loss_seg: 1.5261, aux.acc_seg: 21.8670, loss: 4.0732
2022-01-31 01:32:35,331 - mmseg - INFO - Iter [350/160000] lr: 8.583e-08, eta: 1 day, 3:52:10, time: 0.581, data_time: 0.004, memory: 21005, decode.loss_seg: 2.3110, decode.acc_seg: 36.5679, aux.loss_seg: 1.4568, aux.acc_seg: 24.3788, loss: 3.7678
2022-01-31 01:33:04,697 - mmseg - INFO - Iter [400/160000] lr: 9.810e-08, eta: 1 day, 3:38:03, time: 0.588, data_time: 0.004, memory: 21005, decode.loss_seg: 2.2050, decode.acc_seg: 37.0501, aux.loss_seg: 1.4063, aux.acc_seg: 25.4778, loss: 3.6113
2022-01-31 01:33:34,149 - mmseg - INFO - Iter [450/160000] lr: 1.104e-07, eta: 1 day, 3:27:20, time: 0.589, data_time: 0.004, memory: 21005, decode.loss_seg: 2.0269, decode.acc_seg: 39.8681, aux.loss_seg: 1.3435, aux.acc_seg: 27.8871, loss: 3.3704
2022-01-31 01:34:03,514 - mmseg - INFO - Iter [500/160000] lr: 1.226e-07, eta: 1 day, 3:18:13, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 1.9566, decode.acc_seg: 39.9955, aux.loss_seg: 1.2826, aux.acc_seg: 28.0767, loss: 3.2392
2022-01-31 01:34:33,114 - mmseg - INFO - Iter [550/160000] lr: 1.349e-07, eta: 1 day, 3:11:56, time: 0.592, data_time: 0.005, memory: 21005, decode.loss_seg: 1.8180, decode.acc_seg: 42.6246, aux.loss_seg: 1.2167, aux.acc_seg: 30.8425, loss: 3.0347
2022-01-31 01:35:02,495 - mmseg - INFO - Iter [600/160000] lr: 1.471e-07, eta: 1 day, 3:05:30, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 1.6922, decode.acc_seg: 43.4170, aux.loss_seg: 1.1218, aux.acc_seg: 32.5822, loss: 2.8140
2022-01-31 01:35:31,937 - mmseg - INFO - Iter [650/160000] lr: 1.593e-07, eta: 1 day, 3:00:20, time: 0.589, data_time: 0.004, memory: 21005, decode.loss_seg: 1.7186, decode.acc_seg: 44.2887, aux.loss_seg: 1.1024, aux.acc_seg: 33.9447, loss: 2.8210
2022-01-31 01:36:01,307 - mmseg - INFO - Iter [700/160000] lr: 1.715e-07, eta: 1 day, 2:55:25, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 1.6501, decode.acc_seg: 45.3875, aux.loss_seg: 1.0534, aux.acc_seg: 32.9553, loss: 2.7035
2022-01-31 01:36:30,839 - mmseg - INFO - Iter [750/160000] lr: 1.837e-07, eta: 1 day, 2:51:45, time: 0.591, data_time: 0.005, memory: 21005, decode.loss_seg: 1.6412, decode.acc_seg: 43.6329, aux.loss_seg: 0.9935, aux.acc_seg: 32.4647, loss: 2.6347
2022-01-31 01:37:00,169 - mmseg - INFO - Iter [800/160000] lr: 1.960e-07, eta: 1 day, 2:47:55, time: 0.587, data_time: 0.005, memory: 21005, decode.loss_seg: 1.5648, decode.acc_seg: 46.4405, aux.loss_seg: 0.9634, aux.acc_seg: 35.0231, loss: 2.5282
2022-01-31 01:37:29,633 - mmseg - INFO - Iter [850/160000] lr: 2.082e-07, eta: 1 day, 2:44:48, time: 0.589, data_time: 0.004, memory: 21005, decode.loss_seg: 1.5479, decode.acc_seg: 44.8202, aux.loss_seg: 0.9170, aux.acc_seg: 35.0938, loss: 2.4650
2022-01-31 01:37:59,144 - mmseg - INFO - Iter [900/160000] lr: 2.203e-07, eta: 1 day, 2:42:07, time: 0.590, data_time: 0.004, memory: 21005, decode.loss_seg: 1.4902, decode.acc_seg: 45.8768, aux.loss_seg: 0.8800, aux.acc_seg: 35.1657, loss: 2.3703
2022-01-31 01:38:28,783 - mmseg - INFO - Iter [950/160000] lr: 2.325e-07, eta: 1 day, 2:39:57, time: 0.592, data_time: 0.004, memory: 21005, decode.loss_seg: 1.4458, decode.acc_seg: 46.6059, aux.loss_seg: 0.8506, aux.acc_seg: 36.4375, loss: 2.2964
2022-01-31 01:38:58,244 - mmseg - INFO - Exp name: upernet_mae_base_12_512_slide_160k_ade20k_iv1_qkv_bs16_lr1e4_pt.py
2022-01-31 01:38:58,246 - mmseg - INFO - Iter [1000/160000] lr: 2.447e-07, eta: 1 day, 2:37:36, time: 0.590, data_time: 0.004, memory: 21005, decode.loss_seg: 1.4390, decode.acc_seg: 47.7024, aux.loss_seg: 0.8407, aux.acc_seg: 38.0117, loss: 2.2798
2022-01-31 01:39:27,885 - mmseg - INFO - Iter [1050/160000] lr: 2.569e-07, eta: 1 day, 2:35:47, time: 0.592, data_time: 0.005, memory: 21005, decode.loss_seg: 1.4493, decode.acc_seg: 48.0017, aux.loss_seg: 0.8371, aux.acc_seg: 38.1279, loss: 2.2864
2022-01-31 01:39:57,288 - mmseg - INFO - Iter [1100/160000] lr: 2.690e-07, eta: 1 day, 2:33:35, time: 0.588, data_time: 0.004, memory: 21005, decode.loss_seg: 1.4063, decode.acc_seg: 48.7998, aux.loss_seg: 0.8074, aux.acc_seg: 39.5831, loss: 2.2137
2022-01-31 01:40:26,819 - mmseg - INFO - Iter [1150/160000] lr: 2.812e-07, eta: 1 day, 2:31:50, time: 0.591, data_time: 0.004, memory: 21005, decode.loss_seg: 1.4178, decode.acc_seg: 48.7225, aux.loss_seg: 0.8121, aux.acc_seg: 38.5388, loss: 2.2299
2022-01-31 01:40:56,324 - mmseg - INFO - Iter [1200/160000] lr: 2.933e-07, eta: 1 day, 2:30:05, time: 0.590, data_time: 0.004, memory: 21005, decode.loss_seg: 1.3120, decode.acc_seg: 48.3882, aux.loss_seg: 0.7486, aux.acc_seg: 39.5071, loss: 2.0606
2022-01-31 01:41:25,478 - mmseg - INFO - Iter [1250/160000] lr: 3.055e-07, eta: 1 day, 2:27:41, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 1.2884, decode.acc_seg: 50.7754, aux.loss_seg: 0.7249, aux.acc_seg: 42.6751, loss: 2.0133
2022-01-31 01:42:07,127 - mmseg - INFO - Iter [1300/160000] lr: 3.176e-07, eta: 1 day, 2:50:54, time: 0.833, data_time: 0.224, memory: 21005, decode.loss_seg: 1.3362, decode.acc_seg: 48.6891, aux.loss_seg: 0.7382, aux.acc_seg: 40.2475, loss: 2.0744
2022-01-31 01:42:36,307 - mmseg - INFO - Iter [1350/160000] lr: 3.297e-07, eta: 1 day, 2:47:52, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 1.3457, decode.acc_seg: 48.5442, aux.loss_seg: 0.7378, aux.acc_seg: 40.7706, loss: 2.0834
2022-01-31 01:43:05,522 - mmseg - INFO - Iter [1400/160000] lr: 3.418e-07, eta: 1 day, 2:45:08, time: 0.585, data_time: 0.005, memory: 21005, decode.loss_seg: 1.2921, decode.acc_seg: 50.5593, aux.loss_seg: 0.7246, aux.acc_seg: 42.8484, loss: 2.0167
2022-01-31 01:43:34,810 - mmseg - INFO - Iter [1450/160000] lr: 3.539e-07, eta: 1 day, 2:42:40, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 1.2931, decode.acc_seg: 50.3104, aux.loss_seg: 0.7065, aux.acc_seg: 43.2777, loss: 1.9996
2022-01-31 01:44:04,029 - mmseg - INFO - Iter [1500/160000] lr: 3.660e-07, eta: 1 day, 2:40:14, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 1.2535, decode.acc_seg: 50.1072, aux.loss_seg: 0.6954, aux.acc_seg: 43.1145, loss: 1.9489
2022-01-31 01:44:33,379 - mmseg - INFO - Iter [1550/160000] lr: 3.661e-07, eta: 1 day, 2:38:08, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 1.2615, decode.acc_seg: 50.7641, aux.loss_seg: 0.6981, aux.acc_seg: 43.1991, loss: 1.9596
2022-01-31 01:45:02,960 - mmseg - INFO - Iter [1600/160000] lr: 3.660e-07, eta: 1 day, 2:36:29, time: 0.591, data_time: 0.004, memory: 21005, decode.loss_seg: 1.2573, decode.acc_seg: 50.5115, aux.loss_seg: 0.6918, aux.acc_seg: 43.2882, loss: 1.9491
2022-01-31 01:45:32,313 - mmseg - INFO - Iter [1650/160000] lr: 3.659e-07, eta: 1 day, 2:34:35, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 1.1607, decode.acc_seg: 52.2987, aux.loss_seg: 0.6442, aux.acc_seg: 45.7451, loss: 1.8049
2022-01-31 01:46:01,573 - mmseg - INFO - Iter [1700/160000] lr: 3.658e-07, eta: 1 day, 2:32:35, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 1.2020, decode.acc_seg: 51.5751, aux.loss_seg: 0.6597, aux.acc_seg: 45.0451, loss: 1.8617
2022-01-31 01:46:30,990 - mmseg - INFO - Iter [1750/160000] lr: 3.657e-07, eta: 1 day, 2:30:57, time: 0.588, data_time: 0.004, memory: 21005, decode.loss_seg: 1.1615, decode.acc_seg: 51.2236, aux.loss_seg: 0.6375, aux.acc_seg: 44.5268, loss: 1.7990
2022-01-31 01:47:00,392 - mmseg - INFO - Iter [1800/160000] lr: 3.656e-07, eta: 1 day, 2:29:20, time: 0.588, data_time: 0.004, memory: 21005, decode.loss_seg: 1.1209, decode.acc_seg: 52.2867, aux.loss_seg: 0.6191, aux.acc_seg: 45.2089, loss: 1.7400
2022-01-31 01:47:29,959 - mmseg - INFO - Iter [1850/160000] lr: 3.654e-07, eta: 1 day, 2:28:01, time: 0.591, data_time: 0.004, memory: 21005, decode.loss_seg: 1.2004, decode.acc_seg: 51.1749, aux.loss_seg: 0.6388, aux.acc_seg: 45.2076, loss: 1.8392
2022-01-31 01:47:59,483 - mmseg - INFO - Iter [1900/160000] lr: 3.653e-07, eta: 1 day, 2:26:41, time: 0.590, data_time: 0.004, memory: 21005, decode.loss_seg: 1.1306, decode.acc_seg: 52.1843, aux.loss_seg: 0.6172, aux.acc_seg: 45.9853, loss: 1.7478
2022-01-31 01:48:28,975 - mmseg - INFO - Iter [1950/160000] lr: 3.652e-07, eta: 1 day, 2:25:20, time: 0.590, data_time: 0.004, memory: 21005, decode.loss_seg: 1.1957, decode.acc_seg: 51.5468, aux.loss_seg: 0.6548, aux.acc_seg: 44.2615, loss: 1.8506
2022-01-31 01:48:58,344 - mmseg - INFO - Exp name: upernet_mae_base_12_512_slide_160k_ade20k_iv1_qkv_bs16_lr1e4_pt.py
2022-01-31 01:48:58,346 - mmseg - INFO - Iter [2000/160000] lr: 3.651e-07, eta: 1 day, 2:23:54, time: 0.588, data_time: 0.004, memory: 21005, decode.loss_seg: 1.1491, decode.acc_seg: 50.7597, aux.loss_seg: 0.6329, aux.acc_seg: 43.3780, loss: 1.7820
2022-01-31 01:49:27,941 - mmseg - INFO - Iter [2050/160000] lr: 3.650e-07, eta: 1 day, 2:22:45, time: 0.591, data_time: 0.004, memory: 21005, decode.loss_seg: 1.0681, decode.acc_seg: 51.4507, aux.loss_seg: 0.5957, aux.acc_seg: 44.6293, loss: 1.6638
2022-01-31 01:49:57,654 - mmseg - INFO - Iter [2100/160000] lr: 3.649e-07, eta: 1 day, 2:21:50, time: 0.595, data_time: 0.004, memory: 21005, decode.loss_seg: 1.1040, decode.acc_seg: 52.3206, aux.loss_seg: 0.6153, aux.acc_seg: 45.7005, loss: 1.7193
2022-01-31 01:50:27,219 - mmseg - INFO - Iter [2150/160000] lr: 3.648e-07, eta: 1 day, 2:20:45, time: 0.592, data_time: 0.004, memory: 21005, decode.loss_seg: 1.0329, decode.acc_seg: 53.3023, aux.loss_seg: 0.5836, aux.acc_seg: 46.1356, loss: 1.6166
2022-01-31 01:50:56,667 - mmseg - INFO - Iter [2200/160000] lr: 3.646e-07, eta: 1 day, 2:19:31, time: 0.589, data_time: 0.004, memory: 21005, decode.loss_seg: 1.0978, decode.acc_seg: 51.9054, aux.loss_seg: 0.6015, aux.acc_seg: 45.4667, loss: 1.6993
2022-01-31 01:51:25,994 - mmseg - INFO - Iter [2250/160000] lr: 3.645e-07, eta: 1 day, 2:18:13, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 1.0709, decode.acc_seg: 52.6759, aux.loss_seg: 0.5833, aux.acc_seg: 46.0826, loss: 1.6541
2022-01-31 01:51:55,615 - mmseg - INFO - Iter [2300/160000] lr: 3.644e-07, eta: 1 day, 2:17:16, time: 0.592, data_time: 0.004, memory: 21005, decode.loss_seg: 1.0293, decode.acc_seg: 54.2144, aux.loss_seg: 0.5615, aux.acc_seg: 48.3865, loss: 1.5908
2022-01-31 01:52:25,329 - mmseg - INFO - Iter [2350/160000] lr: 3.643e-07, eta: 1 day, 2:16:25, time: 0.594, data_time: 0.004, memory: 21005, decode.loss_seg: 1.0209, decode.acc_seg: 52.9757, aux.loss_seg: 0.5589, aux.acc_seg: 47.3650, loss: 1.5798
2022-01-31 01:52:54,841 - mmseg - INFO - Iter [2400/160000] lr: 3.642e-07, eta: 1 day, 2:15:22, time: 0.590, data_time: 0.004, memory: 21005, decode.loss_seg: 1.1261, decode.acc_seg: 52.1772, aux.loss_seg: 0.6099, aux.acc_seg: 45.7294, loss: 1.7359
2022-01-31 01:53:24,319 - mmseg - INFO - Iter [2450/160000] lr: 3.641e-07, eta: 1 day, 2:14:21, time: 0.590, data_time: 0.004, memory: 21005, decode.loss_seg: 1.0523, decode.acc_seg: 53.5447, aux.loss_seg: 0.5777, aux.acc_seg: 47.3570, loss: 1.6300
2022-01-31 01:53:53,548 - mmseg - INFO - Iter [2500/160000] lr: 3.639e-07, eta: 1 day, 2:13:02, time: 0.584, data_time: 0.003, memory: 21005, decode.loss_seg: 1.0571, decode.acc_seg: 53.9966, aux.loss_seg: 0.5842, aux.acc_seg: 48.1209, loss: 1.6413
2022-01-31 01:54:33,989 - mmseg - INFO - Iter [2550/160000] lr: 3.638e-07, eta: 1 day, 2:23:21, time: 0.809, data_time: 0.225, memory: 21005, decode.loss_seg: 0.9841, decode.acc_seg: 55.7488, aux.loss_seg: 0.5573, aux.acc_seg: 48.6304, loss: 1.5414
2022-01-31 01:55:03,220 - mmseg - INFO - Iter [2600/160000] lr: 3.637e-07, eta: 1 day, 2:21:53, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 1.0008, decode.acc_seg: 55.4840, aux.loss_seg: 0.5583, aux.acc_seg: 48.8618, loss: 1.5591
2022-01-31 01:55:32,463 - mmseg - INFO - Iter [2650/160000] lr: 3.636e-07, eta: 1 day, 2:20:28, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 1.0035, decode.acc_seg: 53.9042, aux.loss_seg: 0.5578, aux.acc_seg: 47.7014, loss: 1.5613
2022-01-31 01:56:01,781 - mmseg - INFO - Iter [2700/160000] lr: 3.635e-07, eta: 1 day, 2:19:12, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 1.0099, decode.acc_seg: 54.1055, aux.loss_seg: 0.5698, aux.acc_seg: 48.0671, loss: 1.5797
2022-01-31 01:56:30,933 - mmseg - INFO - Iter [2750/160000] lr: 3.634e-07, eta: 1 day, 2:17:45, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.9199, decode.acc_seg: 54.5944, aux.loss_seg: 0.5232, aux.acc_seg: 47.5128, loss: 1.4430
2022-01-31 01:57:00,089 - mmseg - INFO - Iter [2800/160000] lr: 3.633e-07, eta: 1 day, 2:16:23, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.9654, decode.acc_seg: 54.3700, aux.loss_seg: 0.5412, aux.acc_seg: 48.0945, loss: 1.5066
2022-01-31 01:57:29,427 - mmseg - INFO - Iter [2850/160000] lr: 3.631e-07, eta: 1 day, 2:15:12, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 0.9585, decode.acc_seg: 53.4150, aux.loss_seg: 0.5392, aux.acc_seg: 46.7928, loss: 1.4977
2022-01-31 01:57:58,606 - mmseg - INFO - Iter [2900/160000] lr: 3.630e-07, eta: 1 day, 2:13:53, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 1.0414, decode.acc_seg: 54.3369, aux.loss_seg: 0.5758, aux.acc_seg: 47.2709, loss: 1.6171
2022-01-31 01:58:27,798 - mmseg - INFO - Iter [2950/160000] lr: 3.629e-07, eta: 1 day, 2:12:38, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.9954, decode.acc_seg: 54.9335, aux.loss_seg: 0.5432, aux.acc_seg: 48.4026, loss: 1.5386
2022-01-31 01:58:57,086 - mmseg - INFO - Exp name: upernet_mae_base_12_512_slide_160k_ade20k_iv1_qkv_bs16_lr1e4_pt.py
2022-01-31 01:58:57,088 - mmseg - INFO - Iter [3000/160000] lr: 3.628e-07, eta: 1 day, 2:11:28, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.9555, decode.acc_seg: 54.1148, aux.loss_seg: 0.5426, aux.acc_seg: 47.2765, loss: 1.4981
2022-01-31 01:59:26,313 - mmseg - INFO - Iter [3050/160000] lr: 3.627e-07, eta: 1 day, 2:10:16, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.9310, decode.acc_seg: 54.3901, aux.loss_seg: 0.5223, aux.acc_seg: 48.4160, loss: 1.4534
2022-01-31 01:59:55,809 - mmseg - INFO - Iter [3100/160000] lr: 3.626e-07, eta: 1 day, 2:09:20, time: 0.590, data_time: 0.005, memory: 21005, decode.loss_seg: 1.0177, decode.acc_seg: 54.3932, aux.loss_seg: 0.5620, aux.acc_seg: 47.5444, loss: 1.5796
2022-01-31 02:00:25,310 - mmseg - INFO - Iter [3150/160000] lr: 3.624e-07, eta: 1 day, 2:08:25, time: 0.590, data_time: 0.004, memory: 21005, decode.loss_seg: 0.9849, decode.acc_seg: 55.1466, aux.loss_seg: 0.5406, aux.acc_seg: 49.0741, loss: 1.5255
2022-01-31 02:00:54,682 - mmseg - INFO - Iter [3200/160000] lr: 3.623e-07, eta: 1 day, 2:07:24, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 0.9622, decode.acc_seg: 54.7293, aux.loss_seg: 0.5264, aux.acc_seg: 48.1543, loss: 1.4886
2022-01-31 02:01:24,026 - mmseg - INFO - Iter [3250/160000] lr: 3.622e-07, eta: 1 day, 2:06:23, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 0.9990, decode.acc_seg: 53.8313, aux.loss_seg: 0.5487, aux.acc_seg: 47.8202, loss: 1.5476
2022-01-31 02:01:53,418 - mmseg - INFO - Iter [3300/160000] lr: 3.621e-07, eta: 1 day, 2:05:26, time: 0.588, data_time: 0.004, memory: 21005, decode.loss_seg: 0.9362, decode.acc_seg: 55.0481, aux.loss_seg: 0.5036, aux.acc_seg: 49.5646, loss: 1.4398
2022-01-31 02:02:22,681 - mmseg - INFO - Iter [3350/160000] lr: 3.620e-07, eta: 1 day, 2:04:23, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8721, decode.acc_seg: 56.5829, aux.loss_seg: 0.4962, aux.acc_seg: 49.6365, loss: 1.3683
2022-01-31 02:02:52,180 - mmseg - INFO - Iter [3400/160000] lr: 3.619e-07, eta: 1 day, 2:03:32, time: 0.590, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8759, decode.acc_seg: 57.0237, aux.loss_seg: 0.5056, aux.acc_seg: 50.2216, loss: 1.3815
2022-01-31 02:03:21,929 - mmseg - INFO - Iter [3450/160000] lr: 3.618e-07, eta: 1 day, 2:02:52, time: 0.595, data_time: 0.003, memory: 21005, decode.loss_seg: 0.9070, decode.acc_seg: 55.6577, aux.loss_seg: 0.5174, aux.acc_seg: 49.3948, loss: 1.4244
2022-01-31 02:03:51,286 - mmseg - INFO - Iter [3500/160000] lr: 3.616e-07, eta: 1 day, 2:01:56, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 0.9357, decode.acc_seg: 55.1298, aux.loss_seg: 0.5177, aux.acc_seg: 49.1893, loss: 1.4534
2022-01-31 02:04:20,700 - mmseg - INFO - Iter [3550/160000] lr: 3.615e-07, eta: 1 day, 2:01:02, time: 0.588, data_time: 0.005, memory: 21005, decode.loss_seg: 0.9794, decode.acc_seg: 54.6433, aux.loss_seg: 0.5319, aux.acc_seg: 48.7826, loss: 1.5112
2022-01-31 02:04:50,037 - mmseg - INFO - Iter [3600/160000] lr: 3.614e-07, eta: 1 day, 2:00:06, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 0.9306, decode.acc_seg: 55.2442, aux.loss_seg: 0.5281, aux.acc_seg: 48.7350, loss: 1.4586
2022-01-31 02:05:19,406 - mmseg - INFO - Iter [3650/160000] lr: 3.613e-07, eta: 1 day, 1:59:12, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 0.9654, decode.acc_seg: 55.2268, aux.loss_seg: 0.5293, aux.acc_seg: 48.4356, loss: 1.4946
2022-01-31 02:05:48,875 - mmseg - INFO - Iter [3700/160000] lr: 3.612e-07, eta: 1 day, 1:58:24, time: 0.590, data_time: 0.005, memory: 21005, decode.loss_seg: 0.9805, decode.acc_seg: 56.9997, aux.loss_seg: 0.5357, aux.acc_seg: 50.7370, loss: 1.5162
2022-01-31 02:06:18,190 - mmseg - INFO - Iter [3750/160000] lr: 3.611e-07, eta: 1 day, 1:57:29, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.9032, decode.acc_seg: 56.5358, aux.loss_seg: 0.5205, aux.acc_seg: 49.8888, loss: 1.4237
2022-01-31 02:06:59,951 - mmseg - INFO - Iter [3800/160000] lr: 3.609e-07, eta: 1 day, 2:05:06, time: 0.835, data_time: 0.217, memory: 21005, decode.loss_seg: 0.9411, decode.acc_seg: 55.3728, aux.loss_seg: 0.5351, aux.acc_seg: 48.5433, loss: 1.4762
2022-01-31 02:07:29,087 - mmseg - INFO - Iter [3850/160000] lr: 3.608e-07, eta: 1 day, 2:03:58, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.9235, decode.acc_seg: 54.5779, aux.loss_seg: 0.5145, aux.acc_seg: 48.2039, loss: 1.4380
2022-01-31 02:07:58,397 - mmseg - INFO - Iter [3900/160000] lr: 3.607e-07, eta: 1 day, 2:02:58, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8738, decode.acc_seg: 56.7190, aux.loss_seg: 0.4944, aux.acc_seg: 50.0767, loss: 1.3682
2022-01-31 02:08:27,681 - mmseg - INFO - Iter [3950/160000] lr: 3.606e-07, eta: 1 day, 2:01:59, time: 0.586, data_time: 0.005, memory: 21005, decode.loss_seg: 0.8744, decode.acc_seg: 56.4788, aux.loss_seg: 0.4967, aux.acc_seg: 49.1289, loss: 1.3711
2022-01-31 02:08:57,107 - mmseg - INFO - Exp name: upernet_mae_base_12_512_slide_160k_ade20k_iv1_qkv_bs16_lr1e4_pt.py
2022-01-31 02:08:57,110 - mmseg - INFO - Iter [4000/160000] lr: 3.605e-07, eta: 1 day, 2:01:05, time: 0.589, data_time: 0.005, memory: 21005, decode.loss_seg: 0.8797, decode.acc_seg: 55.7565, aux.loss_seg: 0.4932, aux.acc_seg: 49.4373, loss: 1.3729
2022-01-31 02:09:26,437 - mmseg - INFO - Iter [4050/160000] lr: 3.604e-07, eta: 1 day, 2:00:09, time: 0.587, data_time: 0.005, memory: 21005, decode.loss_seg: 0.8950, decode.acc_seg: 55.4222, aux.loss_seg: 0.5090, aux.acc_seg: 48.8626, loss: 1.4040
2022-01-31 02:09:55,854 - mmseg - INFO - Iter [4100/160000] lr: 3.602e-07, eta: 1 day, 1:59:16, time: 0.588, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8617, decode.acc_seg: 57.3248, aux.loss_seg: 0.5007, aux.acc_seg: 50.4250, loss: 1.3624
2022-01-31 02:10:25,281 - mmseg - INFO - Iter [4150/160000] lr: 3.601e-07, eta: 1 day, 1:58:25, time: 0.589, data_time: 0.005, memory: 21005, decode.loss_seg: 0.9243, decode.acc_seg: 55.7534, aux.loss_seg: 0.5166, aux.acc_seg: 49.1589, loss: 1.4409
2022-01-31 02:10:54,669 - mmseg - INFO - Iter [4200/160000] lr: 3.600e-07, eta: 1 day, 1:57:32, time: 0.588, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8973, decode.acc_seg: 55.3486, aux.loss_seg: 0.4928, aux.acc_seg: 49.3970, loss: 1.3900
2022-01-31 02:11:24,015 - mmseg - INFO - Iter [4250/160000] lr: 3.599e-07, eta: 1 day, 1:56:38, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8824, decode.acc_seg: 56.6069, aux.loss_seg: 0.5057, aux.acc_seg: 49.3041, loss: 1.3881
2022-01-31 02:11:53,183 - mmseg - INFO - Iter [4300/160000] lr: 3.598e-07, eta: 1 day, 1:55:38, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8374, decode.acc_seg: 57.9682, aux.loss_seg: 0.4663, aux.acc_seg: 52.0333, loss: 1.3037
2022-01-31 02:12:22,409 - mmseg - INFO - Iter [4350/160000] lr: 3.597e-07, eta: 1 day, 1:54:42, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8758, decode.acc_seg: 55.8379, aux.loss_seg: 0.5017, aux.acc_seg: 48.9869, loss: 1.3775
2022-01-31 02:12:51,732 - mmseg - INFO - Iter [4400/160000] lr: 3.596e-07, eta: 1 day, 1:53:49, time: 0.586, data_time: 0.005, memory: 21005, decode.loss_seg: 0.8675, decode.acc_seg: 56.6109, aux.loss_seg: 0.4999, aux.acc_seg: 49.1386, loss: 1.3673
2022-01-31 02:13:21,151 - mmseg - INFO - Iter [4450/160000] lr: 3.594e-07, eta: 1 day, 1:53:01, time: 0.589, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8629, decode.acc_seg: 56.8745, aux.loss_seg: 0.4907, aux.acc_seg: 50.1966, loss: 1.3536
2022-01-31 02:13:50,551 - mmseg - INFO - Iter [4500/160000] lr: 3.593e-07, eta: 1 day, 1:52:12, time: 0.588, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8402, decode.acc_seg: 58.3070, aux.loss_seg: 0.4788, aux.acc_seg: 51.3799, loss: 1.3190
2022-01-31 02:14:20,246 - mmseg - INFO - Iter [4550/160000] lr: 3.592e-07, eta: 1 day, 1:51:33, time: 0.594, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8403, decode.acc_seg: 56.9994, aux.loss_seg: 0.4773, aux.acc_seg: 50.2974, loss: 1.3176
2022-01-31 02:14:49,578 - mmseg - INFO - Iter [4600/160000] lr: 3.591e-07, eta: 1 day, 1:50:43, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8219, decode.acc_seg: 57.6070, aux.loss_seg: 0.4750, aux.acc_seg: 50.6492, loss: 1.2969
2022-01-31 02:15:19,031 - mmseg - INFO - Iter [4650/160000] lr: 3.590e-07, eta: 1 day, 1:49:57, time: 0.589, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8266, decode.acc_seg: 57.4637, aux.loss_seg: 0.4694, aux.acc_seg: 50.9883, loss: 1.2960
2022-01-31 02:15:48,377 - mmseg - INFO - Iter [4700/160000] lr: 3.589e-07, eta: 1 day, 1:49:07, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8463, decode.acc_seg: 57.0493, aux.loss_seg: 0.4785, aux.acc_seg: 50.4092, loss: 1.3249
2022-01-31 02:16:17,565 - mmseg - INFO - Iter [4750/160000] lr: 3.587e-07, eta: 1 day, 1:48:13, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8468, decode.acc_seg: 57.8412, aux.loss_seg: 0.4835, aux.acc_seg: 50.7001, loss: 1.3303
2022-01-31 02:16:46,771 - mmseg - INFO - Iter [4800/160000] lr: 3.586e-07, eta: 1 day, 1:47:20, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8282, decode.acc_seg: 57.4612, aux.loss_seg: 0.4688, aux.acc_seg: 50.8530, loss: 1.2970
2022-01-31 02:17:16,129 - mmseg - INFO - Iter [4850/160000] lr: 3.585e-07, eta: 1 day, 1:46:32, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8515, decode.acc_seg: 57.7047, aux.loss_seg: 0.4789, aux.acc_seg: 51.0778, loss: 1.3304
2022-01-31 02:17:45,407 - mmseg - INFO - Iter [4900/160000] lr: 3.584e-07, eta: 1 day, 1:45:42, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8348, decode.acc_seg: 57.9522, aux.loss_seg: 0.4762, aux.acc_seg: 50.5980, loss: 1.3111
2022-01-31 02:18:14,874 - mmseg - INFO - Iter [4950/160000] lr: 3.583e-07, eta: 1 day, 1:45:00, time: 0.590, data_time: 0.005, memory: 21005, decode.loss_seg: 0.8375, decode.acc_seg: 58.5526, aux.loss_seg: 0.4692, aux.acc_seg: 52.1941, loss: 1.3066
2022-01-31 02:18:44,176 - mmseg - INFO - Exp name: upernet_mae_base_12_512_slide_160k_ade20k_iv1_qkv_bs16_lr1e4_pt.py
2022-01-31 02:18:44,178 - mmseg - INFO - Iter [5000/160000] lr: 3.582e-07, eta: 1 day, 1:44:11, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8856, decode.acc_seg: 57.8894, aux.loss_seg: 0.4784, aux.acc_seg: 51.6118, loss: 1.3640
2022-01-31 02:19:13,432 - mmseg - INFO - Iter [5050/160000] lr: 3.581e-07, eta: 1 day, 1:43:22, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8140, decode.acc_seg: 59.2909, aux.loss_seg: 0.4693, aux.acc_seg: 52.1457, loss: 1.2833
2022-01-31 02:19:54,615 - mmseg - INFO - Iter [5100/160000] lr: 3.579e-07, eta: 1 day, 1:48:36, time: 0.824, data_time: 0.184, memory: 21005, decode.loss_seg: 0.7927, decode.acc_seg: 58.0914, aux.loss_seg: 0.4538, aux.acc_seg: 50.9567, loss: 1.2465
2022-01-31 02:20:23,827 - mmseg - INFO - Iter [5150/160000] lr: 3.578e-07, eta: 1 day, 1:47:42, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8801, decode.acc_seg: 55.3326, aux.loss_seg: 0.4996, aux.acc_seg: 48.0624, loss: 1.3797
2022-01-31 02:20:53,072 - mmseg - INFO - Iter [5200/160000] lr: 3.577e-07, eta: 1 day, 1:46:50, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7886, decode.acc_seg: 57.5746, aux.loss_seg: 0.4597, aux.acc_seg: 50.6903, loss: 1.2483
2022-01-31 02:21:22,501 - mmseg - INFO - Iter [5250/160000] lr: 3.576e-07, eta: 1 day, 1:46:03, time: 0.589, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8063, decode.acc_seg: 57.1471, aux.loss_seg: 0.4644, aux.acc_seg: 50.1923, loss: 1.2708
2022-01-31 02:21:51,781 - mmseg - INFO - Iter [5300/160000] lr: 3.575e-07, eta: 1 day, 1:45:14, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7744, decode.acc_seg: 58.6937, aux.loss_seg: 0.4519, aux.acc_seg: 51.7052, loss: 1.2263
2022-01-31 02:22:21,092 - mmseg - INFO - Iter [5350/160000] lr: 3.574e-07, eta: 1 day, 1:44:24, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7999, decode.acc_seg: 58.2733, aux.loss_seg: 0.4770, aux.acc_seg: 49.9102, loss: 1.2769
2022-01-31 02:22:50,537 - mmseg - INFO - Iter [5400/160000] lr: 3.572e-07, eta: 1 day, 1:43:40, time: 0.589, data_time: 0.005, memory: 21005, decode.loss_seg: 0.7381, decode.acc_seg: 59.7202, aux.loss_seg: 0.4265, aux.acc_seg: 53.3198, loss: 1.1646
2022-01-31 02:23:19,757 - mmseg - INFO - Iter [5450/160000] lr: 3.571e-07, eta: 1 day, 1:42:49, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8188, decode.acc_seg: 57.6075, aux.loss_seg: 0.4774, aux.acc_seg: 50.2809, loss: 1.2961
2022-01-31 02:23:48,811 - mmseg - INFO - Iter [5500/160000] lr: 3.570e-07, eta: 1 day, 1:41:54, time: 0.581, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7990, decode.acc_seg: 57.8428, aux.loss_seg: 0.4491, aux.acc_seg: 51.5017, loss: 1.2481
2022-01-31 02:24:18,029 - mmseg - INFO - Iter [5550/160000] lr: 3.569e-07, eta: 1 day, 1:41:04, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8409, decode.acc_seg: 57.3753, aux.loss_seg: 0.4710, aux.acc_seg: 50.7362, loss: 1.3119
2022-01-31 02:24:47,216 - mmseg - INFO - Iter [5600/160000] lr: 3.568e-07, eta: 1 day, 1:40:13, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8122, decode.acc_seg: 57.4805, aux.loss_seg: 0.4701, aux.acc_seg: 50.1201, loss: 1.2823
2022-01-31 02:25:16,475 - mmseg - INFO - Iter [5650/160000] lr: 3.567e-07, eta: 1 day, 1:39:25, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8061, decode.acc_seg: 59.3418, aux.loss_seg: 0.4630, aux.acc_seg: 52.3868, loss: 1.2691
2022-01-31 02:25:46,002 - mmseg - INFO - Iter [5700/160000] lr: 3.566e-07, eta: 1 day, 1:38:45, time: 0.591, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7655, decode.acc_seg: 60.0314, aux.loss_seg: 0.4448, aux.acc_seg: 53.1458, loss: 1.2103
2022-01-31 02:26:15,056 - mmseg - INFO - Iter [5750/160000] lr: 3.564e-07, eta: 1 day, 1:37:52, time: 0.581, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7932, decode.acc_seg: 57.5616, aux.loss_seg: 0.4598, aux.acc_seg: 50.8095, loss: 1.2530
2022-01-31 02:26:44,444 - mmseg - INFO - Iter [5800/160000] lr: 3.563e-07, eta: 1 day, 1:37:08, time: 0.588, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8114, decode.acc_seg: 57.1821, aux.loss_seg: 0.4611, aux.acc_seg: 50.2165, loss: 1.2725
2022-01-31 02:27:13,613 - mmseg - INFO - Iter [5850/160000] lr: 3.562e-07, eta: 1 day, 1:36:19, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8169, decode.acc_seg: 58.1421, aux.loss_seg: 0.4676, aux.acc_seg: 51.6292, loss: 1.2845
2022-01-31 02:27:42,907 - mmseg - INFO - Iter [5900/160000] lr: 3.561e-07, eta: 1 day, 1:35:33, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7754, decode.acc_seg: 58.7359, aux.loss_seg: 0.4472, aux.acc_seg: 51.3204, loss: 1.2227
2022-01-31 02:28:12,020 - mmseg - INFO - Iter [5950/160000] lr: 3.560e-07, eta: 1 day, 1:34:43, time: 0.582, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7674, decode.acc_seg: 59.4100, aux.loss_seg: 0.4435, aux.acc_seg: 52.4963, loss: 1.2109
2022-01-31 02:28:41,329 - mmseg - INFO - Exp name: upernet_mae_base_12_512_slide_160k_ade20k_iv1_qkv_bs16_lr1e4_pt.py
2022-01-31 02:28:41,331 - mmseg - INFO - Iter [6000/160000] lr: 3.559e-07, eta: 1 day, 1:33:58, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8299, decode.acc_seg: 57.1516, aux.loss_seg: 0.4699, aux.acc_seg: 50.5265, loss: 1.2999
2022-01-31 02:29:10,367 - mmseg - INFO - Iter [6050/160000] lr: 3.557e-07, eta: 1 day, 1:33:06, time: 0.581, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8194, decode.acc_seg: 58.7515, aux.loss_seg: 0.4587, aux.acc_seg: 52.0536, loss: 1.2781
2022-01-31 02:29:39,679 - mmseg - INFO - Iter [6100/160000] lr: 3.556e-07, eta: 1 day, 1:32:23, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7915, decode.acc_seg: 58.6547, aux.loss_seg: 0.4593, aux.acc_seg: 51.5122, loss: 1.2508
2022-01-31 02:30:08,851 - mmseg - INFO - Iter [6150/160000] lr: 3.555e-07, eta: 1 day, 1:31:35, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7908, decode.acc_seg: 60.2170, aux.loss_seg: 0.4534, aux.acc_seg: 52.9504, loss: 1.2441
2022-01-31 02:30:38,057 - mmseg - INFO - Iter [6200/160000] lr: 3.554e-07, eta: 1 day, 1:30:49, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8185, decode.acc_seg: 56.7530, aux.loss_seg: 0.4468, aux.acc_seg: 50.7706, loss: 1.2654
2022-01-31 02:31:07,100 - mmseg - INFO - Iter [6250/160000] lr: 3.553e-07, eta: 1 day, 1:29:59, time: 0.581, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8167, decode.acc_seg: 59.0236, aux.loss_seg: 0.4621, aux.acc_seg: 52.5931, loss: 1.2788
2022-01-31 02:31:36,208 - mmseg - INFO - Iter [6300/160000] lr: 3.552e-07, eta: 1 day, 1:29:11, time: 0.582, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7584, decode.acc_seg: 59.4133, aux.loss_seg: 0.4393, aux.acc_seg: 52.3458, loss: 1.1977
2022-01-31 02:32:16,746 - mmseg - INFO - Iter [6350/160000] lr: 3.550e-07, eta: 1 day, 1:33:00, time: 0.811, data_time: 0.229, memory: 21005, decode.loss_seg: 0.7768, decode.acc_seg: 58.3318, aux.loss_seg: 0.4465, aux.acc_seg: 51.1588, loss: 1.2233
2022-01-31 02:32:45,777 - mmseg - INFO - Iter [6400/160000] lr: 3.549e-07, eta: 1 day, 1:32:08, time: 0.580, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7437, decode.acc_seg: 57.4637, aux.loss_seg: 0.4373, aux.acc_seg: 50.6433, loss: 1.1810
2022-01-31 02:33:14,951 - mmseg - INFO - Iter [6450/160000] lr: 3.548e-07, eta: 1 day, 1:31:20, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7514, decode.acc_seg: 58.0452, aux.loss_seg: 0.4420, aux.acc_seg: 51.2264, loss: 1.1935
2022-01-31 02:33:44,107 - mmseg - INFO - Iter [6500/160000] lr: 3.547e-07, eta: 1 day, 1:30:32, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7113, decode.acc_seg: 62.2183, aux.loss_seg: 0.4214, aux.acc_seg: 54.7522, loss: 1.1327
2022-01-31 02:34:13,434 - mmseg - INFO - Iter [6550/160000] lr: 3.546e-07, eta: 1 day, 1:29:49, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7349, decode.acc_seg: 59.3160, aux.loss_seg: 0.4443, aux.acc_seg: 51.4146, loss: 1.1791
2022-01-31 02:34:42,859 - mmseg - INFO - Iter [6600/160000] lr: 3.545e-07, eta: 1 day, 1:29:07, time: 0.588, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8014, decode.acc_seg: 58.2674, aux.loss_seg: 0.4626, aux.acc_seg: 51.3284, loss: 1.2640
2022-01-31 02:35:12,117 - mmseg - INFO - Iter [6650/160000] lr: 3.544e-07, eta: 1 day, 1:28:23, time: 0.586, data_time: 0.005, memory: 21005, decode.loss_seg: 0.7989, decode.acc_seg: 58.5544, aux.loss_seg: 0.4535, aux.acc_seg: 51.2677, loss: 1.2524
2022-01-31 02:35:41,254 - mmseg - INFO - Iter [6700/160000] lr: 3.542e-07, eta: 1 day, 1:27:35, time: 0.582, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7760, decode.acc_seg: 58.4007, aux.loss_seg: 0.4406, aux.acc_seg: 51.5682, loss: 1.2166
2022-01-31 02:36:10,330 - mmseg - INFO - Iter [6750/160000] lr: 3.541e-07, eta: 1 day, 1:26:47, time: 0.582, data_time: 0.005, memory: 21005, decode.loss_seg: 0.7600, decode.acc_seg: 58.2327, aux.loss_seg: 0.4350, aux.acc_seg: 51.8009, loss: 1.1950
2022-01-31 02:36:40,064 - mmseg - INFO - Iter [6800/160000] lr: 3.540e-07, eta: 1 day, 1:26:13, time: 0.594, data_time: 0.003, memory: 21005, decode.loss_seg: 0.7325, decode.acc_seg: 59.1181, aux.loss_seg: 0.4289, aux.acc_seg: 52.4626, loss: 1.1614
2022-01-31 02:37:09,469 - mmseg - INFO - Iter [6850/160000] lr: 3.539e-07, eta: 1 day, 1:25:33, time: 0.588, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7843, decode.acc_seg: 58.4500, aux.loss_seg: 0.4388, aux.acc_seg: 51.8744, loss: 1.2232
2022-01-31 02:37:38,903 - mmseg - INFO - Iter [6900/160000] lr: 3.538e-07, eta: 1 day, 1:24:53, time: 0.588, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7235, decode.acc_seg: 59.4186, aux.loss_seg: 0.4170, aux.acc_seg: 53.0062, loss: 1.1405
2022-01-31 02:38:08,016 - mmseg - INFO - Iter [6950/160000] lr: 3.537e-07, eta: 1 day, 1:24:06, time: 0.582, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7583, decode.acc_seg: 58.6886, aux.loss_seg: 0.4270, aux.acc_seg: 51.8559, loss: 1.1853
2022-01-31 02:38:37,333 - mmseg - INFO - Exp name: upernet_mae_base_12_512_slide_160k_ade20k_iv1_qkv_bs16_lr1e4_pt.py
2022-01-31 02:38:37,335 - mmseg - INFO - Iter [7000/160000] lr: 3.535e-07, eta: 1 day, 1:23:24, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7734, decode.acc_seg: 58.1394, aux.loss_seg: 0.4593, aux.acc_seg: 50.5324, loss: 1.2327
2022-01-31 02:39:06,592 - mmseg - INFO - Iter [7050/160000] lr: 3.534e-07, eta: 1 day, 1:22:41, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7709, decode.acc_seg: 58.4233, aux.loss_seg: 0.4397, aux.acc_seg: 52.1590, loss: 1.2106
2022-01-31 02:39:35,800 - mmseg - INFO - Iter [7100/160000] lr: 3.533e-07, eta: 1 day, 1:21:57, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7638, decode.acc_seg: 59.2290, aux.loss_seg: 0.4395, aux.acc_seg: 52.0890, loss: 1.2033
2022-01-31 02:40:04,958 - mmseg - INFO - Iter [7150/160000] lr: 3.532e-07, eta: 1 day, 1:21:12, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7331, decode.acc_seg: 58.7031, aux.loss_seg: 0.4135, aux.acc_seg: 52.3072, loss: 1.1466
2022-01-31 02:40:34,104 - mmseg - INFO - Iter [7200/160000] lr: 3.531e-07, eta: 1 day, 1:20:27, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7588, decode.acc_seg: 60.2488, aux.loss_seg: 0.4393, aux.acc_seg: 52.7500, loss: 1.1981
2022-01-31 02:41:03,377 - mmseg - INFO - Iter [7250/160000] lr: 3.530e-07, eta: 1 day, 1:19:45, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7378, decode.acc_seg: 59.1563, aux.loss_seg: 0.4261, aux.acc_seg: 52.6385, loss: 1.1639
2022-01-31 02:41:32,625 - mmseg - INFO - Iter [7300/160000] lr: 3.529e-07, eta: 1 day, 1:19:03, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7248, decode.acc_seg: 59.7018, aux.loss_seg: 0.4244, aux.acc_seg: 52.3069, loss: 1.1492
2022-01-31 02:42:01,980 - mmseg - INFO - Iter [7350/160000] lr: 3.527e-07, eta: 1 day, 1:18:22, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7990, decode.acc_seg: 56.8631, aux.loss_seg: 0.4556, aux.acc_seg: 49.8488, loss: 1.2546
2022-01-31 02:42:31,190 - mmseg - INFO - Iter [7400/160000] lr: 3.526e-07, eta: 1 day, 1:17:39, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7748, decode.acc_seg: 58.6264, aux.loss_seg: 0.4346, aux.acc_seg: 52.2344, loss: 1.2094
2022-01-31 02:43:00,338 - mmseg - INFO - Iter [7450/160000] lr: 3.525e-07, eta: 1 day, 1:16:56, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7640, decode.acc_seg: 60.7628, aux.loss_seg: 0.4344, aux.acc_seg: 53.9008, loss: 1.1985
2022-01-31 02:43:29,479 - mmseg - INFO - Iter [7500/160000] lr: 3.524e-07, eta: 1 day, 1:16:12, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.8128, decode.acc_seg: 58.7133, aux.loss_seg: 0.4588, aux.acc_seg: 51.4299, loss: 1.2716
2022-01-31 02:43:58,971 - mmseg - INFO - Iter [7550/160000] lr: 3.523e-07, eta: 1 day, 1:15:35, time: 0.590, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7225, decode.acc_seg: 62.0748, aux.loss_seg: 0.4152, aux.acc_seg: 55.3849, loss: 1.1377
2022-01-31 02:44:39,763 - mmseg - INFO - Iter [7600/160000] lr: 3.522e-07, eta: 1 day, 1:18:45, time: 0.816, data_time: 0.243, memory: 21005, decode.loss_seg: 0.7211, decode.acc_seg: 59.6038, aux.loss_seg: 0.4317, aux.acc_seg: 51.9503, loss: 1.1528
2022-01-31 02:45:08,800 - mmseg - INFO - Iter [7650/160000] lr: 3.520e-07, eta: 1 day, 1:17:58, time: 0.581, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6948, decode.acc_seg: 60.7119, aux.loss_seg: 0.4149, aux.acc_seg: 53.0626, loss: 1.1097
2022-01-31 02:45:37,861 - mmseg - INFO - Iter [7700/160000] lr: 3.519e-07, eta: 1 day, 1:17:12, time: 0.581, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7276, decode.acc_seg: 59.3988, aux.loss_seg: 0.4142, aux.acc_seg: 53.3351, loss: 1.1418
2022-01-31 02:46:07,112 - mmseg - INFO - Iter [7750/160000] lr: 3.518e-07, eta: 1 day, 1:16:30, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7376, decode.acc_seg: 58.7737, aux.loss_seg: 0.4185, aux.acc_seg: 51.7123, loss: 1.1561
2022-01-31 02:46:36,341 - mmseg - INFO - Iter [7800/160000] lr: 3.517e-07, eta: 1 day, 1:15:47, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7719, decode.acc_seg: 59.7231, aux.loss_seg: 0.4427, aux.acc_seg: 52.7297, loss: 1.2146
2022-01-31 02:47:05,729 - mmseg - INFO - Iter [7850/160000] lr: 3.516e-07, eta: 1 day, 1:15:08, time: 0.588, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6936, decode.acc_seg: 59.6345, aux.loss_seg: 0.4122, aux.acc_seg: 52.6669, loss: 1.1058
2022-01-31 02:47:34,642 - mmseg - INFO - Iter [7900/160000] lr: 3.515e-07, eta: 1 day, 1:14:19, time: 0.578, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6905, decode.acc_seg: 60.8967, aux.loss_seg: 0.4050, aux.acc_seg: 53.8881, loss: 1.0955
2022-01-31 02:48:04,317 - mmseg - INFO - Iter [7950/160000] lr: 3.514e-07, eta: 1 day, 1:13:45, time: 0.593, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7285, decode.acc_seg: 60.4392, aux.loss_seg: 0.4182, aux.acc_seg: 53.5361, loss: 1.1467
2022-01-31 02:48:33,343 - mmseg - INFO - Exp name: upernet_mae_base_12_512_slide_160k_ade20k_iv1_qkv_bs16_lr1e4_pt.py
2022-01-31 02:48:33,345 - mmseg - INFO - Iter [8000/160000] lr: 3.512e-07, eta: 1 day, 1:13:00, time: 0.581, data_time: 0.005, memory: 21005, decode.loss_seg: 0.7484, decode.acc_seg: 57.7632, aux.loss_seg: 0.4315, aux.acc_seg: 51.1452, loss: 1.1799
2022-01-31 02:49:02,488 - mmseg - INFO - Iter [8050/160000] lr: 3.511e-07, eta: 1 day, 1:12:16, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6988, decode.acc_seg: 60.7644, aux.loss_seg: 0.4048, aux.acc_seg: 53.8328, loss: 1.1036
2022-01-31 02:49:31,598 - mmseg - INFO - Iter [8100/160000] lr: 3.510e-07, eta: 1 day, 1:11:33, time: 0.582, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7084, decode.acc_seg: 61.0249, aux.loss_seg: 0.4155, aux.acc_seg: 54.3940, loss: 1.1239
2022-01-31 02:50:00,586 - mmseg - INFO - Iter [8150/160000] lr: 3.509e-07, eta: 1 day, 1:10:47, time: 0.580, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7548, decode.acc_seg: 58.9824, aux.loss_seg: 0.4281, aux.acc_seg: 52.2325, loss: 1.1829
2022-01-31 02:50:29,962 - mmseg - INFO - Iter [8200/160000] lr: 3.508e-07, eta: 1 day, 1:10:08, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7014, decode.acc_seg: 61.2133, aux.loss_seg: 0.4069, aux.acc_seg: 54.5526, loss: 1.1083
2022-01-31 02:50:59,262 - mmseg - INFO - Iter [8250/160000] lr: 3.507e-07, eta: 1 day, 1:09:28, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7874, decode.acc_seg: 58.7905, aux.loss_seg: 0.4472, aux.acc_seg: 51.7140, loss: 1.2346
2022-01-31 02:51:28,399 - mmseg - INFO - Iter [8300/160000] lr: 3.505e-07, eta: 1 day, 1:08:45, time: 0.582, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7206, decode.acc_seg: 59.2398, aux.loss_seg: 0.4209, aux.acc_seg: 52.1091, loss: 1.1416
2022-01-31 02:51:57,762 - mmseg - INFO - Iter [8350/160000] lr: 3.504e-07, eta: 1 day, 1:08:07, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7055, decode.acc_seg: 60.4707, aux.loss_seg: 0.4028, aux.acc_seg: 53.9501, loss: 1.1083
2022-01-31 02:52:26,965 - mmseg - INFO - Iter [8400/160000] lr: 3.503e-07, eta: 1 day, 1:07:26, time: 0.584, data_time: 0.005, memory: 21005, decode.loss_seg: 0.7081, decode.acc_seg: 61.0629, aux.loss_seg: 0.4171, aux.acc_seg: 53.7261, loss: 1.1252
2022-01-31 02:52:56,122 - mmseg - INFO - Iter [8450/160000] lr: 3.502e-07, eta: 1 day, 1:06:44, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6917, decode.acc_seg: 61.2197, aux.loss_seg: 0.4108, aux.acc_seg: 53.8111, loss: 1.1025
2022-01-31 02:53:25,383 - mmseg - INFO - Iter [8500/160000] lr: 3.501e-07, eta: 1 day, 1:06:04, time: 0.586, data_time: 0.005, memory: 21005, decode.loss_seg: 0.6882, decode.acc_seg: 60.2843, aux.loss_seg: 0.4049, aux.acc_seg: 53.0946, loss: 1.0930
2022-01-31 02:53:54,702 - mmseg - INFO - Iter [8550/160000] lr: 3.500e-07, eta: 1 day, 1:05:25, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7588, decode.acc_seg: 61.2992, aux.loss_seg: 0.4378, aux.acc_seg: 54.0851, loss: 1.1965
2022-01-31 02:54:24,029 - mmseg - INFO - Iter [8600/160000] lr: 3.499e-07, eta: 1 day, 1:04:47, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7416, decode.acc_seg: 58.8891, aux.loss_seg: 0.4198, aux.acc_seg: 52.0828, loss: 1.1614
2022-01-31 02:54:53,230 - mmseg - INFO - Iter [8650/160000] lr: 3.497e-07, eta: 1 day, 1:04:06, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7512, decode.acc_seg: 59.4540, aux.loss_seg: 0.4420, aux.acc_seg: 51.7068, loss: 1.1932
2022-01-31 02:55:22,550 - mmseg - INFO - Iter [8700/160000] lr: 3.496e-07, eta: 1 day, 1:03:28, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7417, decode.acc_seg: 57.7481, aux.loss_seg: 0.4359, aux.acc_seg: 50.5296, loss: 1.1777
2022-01-31 02:55:51,671 - mmseg - INFO - Iter [8750/160000] lr: 3.495e-07, eta: 1 day, 1:02:46, time: 0.582, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6647, decode.acc_seg: 60.2278, aux.loss_seg: 0.3990, aux.acc_seg: 52.9132, loss: 1.0637
2022-01-31 02:56:20,856 - mmseg - INFO - Iter [8800/160000] lr: 3.494e-07, eta: 1 day, 1:02:05, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7097, decode.acc_seg: 61.0352, aux.loss_seg: 0.4236, aux.acc_seg: 53.4496, loss: 1.1333
2022-01-31 02:57:01,598 - mmseg - INFO - Iter [8850/160000] lr: 3.493e-07, eta: 1 day, 1:04:42, time: 0.815, data_time: 0.233, memory: 21005, decode.loss_seg: 0.7457, decode.acc_seg: 58.3183, aux.loss_seg: 0.4265, aux.acc_seg: 50.7735, loss: 1.1722
2022-01-31 02:57:30,673 - mmseg - INFO - Iter [8900/160000] lr: 3.492e-07, eta: 1 day, 1:03:59, time: 0.582, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7244, decode.acc_seg: 60.6719, aux.loss_seg: 0.4262, aux.acc_seg: 53.0017, loss: 1.1506
2022-01-31 02:57:59,625 - mmseg - INFO - Iter [8950/160000] lr: 3.490e-07, eta: 1 day, 1:03:14, time: 0.579, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6469, decode.acc_seg: 61.3324, aux.loss_seg: 0.3877, aux.acc_seg: 54.2314, loss: 1.0346
2022-01-31 02:58:28,821 - mmseg - INFO - Exp name: upernet_mae_base_12_512_slide_160k_ade20k_iv1_qkv_bs16_lr1e4_pt.py
2022-01-31 02:58:28,823 - mmseg - INFO - Iter [9000/160000] lr: 3.489e-07, eta: 1 day, 1:02:33, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6871, decode.acc_seg: 61.3151, aux.loss_seg: 0.4070, aux.acc_seg: 54.4510, loss: 1.0941
2022-01-31 02:58:58,274 - mmseg - INFO - Iter [9050/160000] lr: 3.488e-07, eta: 1 day, 1:01:56, time: 0.589, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6947, decode.acc_seg: 62.1839, aux.loss_seg: 0.4330, aux.acc_seg: 54.0497, loss: 1.1277
2022-01-31 02:59:27,565 - mmseg - INFO - Iter [9100/160000] lr: 3.487e-07, eta: 1 day, 1:01:17, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6795, decode.acc_seg: 60.4215, aux.loss_seg: 0.4002, aux.acc_seg: 53.5696, loss: 1.0797
2022-01-31 02:59:56,562 - mmseg - INFO - Iter [9150/160000] lr: 3.486e-07, eta: 1 day, 1:00:33, time: 0.580, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6581, decode.acc_seg: 60.7289, aux.loss_seg: 0.3867, aux.acc_seg: 53.4411, loss: 1.0448
2022-01-31 03:00:25,755 - mmseg - INFO - Iter [9200/160000] lr: 3.485e-07, eta: 1 day, 0:59:53, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6627, decode.acc_seg: 60.3244, aux.loss_seg: 0.3875, aux.acc_seg: 53.4310, loss: 1.0502
2022-01-31 03:00:54,911 - mmseg - INFO - Iter [9250/160000] lr: 3.483e-07, eta: 1 day, 0:59:12, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7425, decode.acc_seg: 58.5661, aux.loss_seg: 0.4273, aux.acc_seg: 51.6640, loss: 1.1698
2022-01-31 03:01:24,164 - mmseg - INFO - Iter [9300/160000] lr: 3.482e-07, eta: 1 day, 0:58:33, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7223, decode.acc_seg: 59.6779, aux.loss_seg: 0.4317, aux.acc_seg: 52.1980, loss: 1.1540
2022-01-31 03:01:53,209 - mmseg - INFO - Iter [9350/160000] lr: 3.481e-07, eta: 1 day, 0:57:50, time: 0.580, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6974, decode.acc_seg: 60.6165, aux.loss_seg: 0.4029, aux.acc_seg: 53.9565, loss: 1.1003
2022-01-31 03:02:22,192 - mmseg - INFO - Iter [9400/160000] lr: 3.480e-07, eta: 1 day, 0:57:07, time: 0.580, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6881, decode.acc_seg: 60.6529, aux.loss_seg: 0.4030, aux.acc_seg: 53.6639, loss: 1.0911
2022-01-31 03:02:51,604 - mmseg - INFO - Iter [9450/160000] lr: 3.479e-07, eta: 1 day, 0:56:30, time: 0.588, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7295, decode.acc_seg: 58.9440, aux.loss_seg: 0.4173, aux.acc_seg: 52.3969, loss: 1.1468
2022-01-31 03:03:20,774 - mmseg - INFO - Iter [9500/160000] lr: 3.478e-07, eta: 1 day, 0:55:50, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7163, decode.acc_seg: 61.4808, aux.loss_seg: 0.4144, aux.acc_seg: 54.4547, loss: 1.1307
2022-01-31 03:03:49,870 - mmseg - INFO - Iter [9550/160000] lr: 3.477e-07, eta: 1 day, 0:55:09, time: 0.582, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6853, decode.acc_seg: 61.0175, aux.loss_seg: 0.4108, aux.acc_seg: 53.6290, loss: 1.0961
2022-01-31 03:04:19,106 - mmseg - INFO - Iter [9600/160000] lr: 3.475e-07, eta: 1 day, 0:54:30, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6918, decode.acc_seg: 61.0558, aux.loss_seg: 0.4030, aux.acc_seg: 54.2670, loss: 1.0948
2022-01-31 03:04:48,525 - mmseg - INFO - Iter [9650/160000] lr: 3.474e-07, eta: 1 day, 0:53:54, time: 0.589, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6982, decode.acc_seg: 61.6738, aux.loss_seg: 0.4133, aux.acc_seg: 54.5759, loss: 1.1115
2022-01-31 03:05:17,597 - mmseg - INFO - Iter [9700/160000] lr: 3.473e-07, eta: 1 day, 0:53:13, time: 0.581, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7373, decode.acc_seg: 59.8369, aux.loss_seg: 0.4336, aux.acc_seg: 52.5122, loss: 1.1709
2022-01-31 03:05:46,810 - mmseg - INFO - Iter [9750/160000] lr: 3.472e-07, eta: 1 day, 0:52:34, time: 0.585, data_time: 0.005, memory: 21005, decode.loss_seg: 0.6910, decode.acc_seg: 60.3558, aux.loss_seg: 0.4001, aux.acc_seg: 53.4876, loss: 1.0911
2022-01-31 03:06:16,140 - mmseg - INFO - Iter [9800/160000] lr: 3.471e-07, eta: 1 day, 0:51:57, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7193, decode.acc_seg: 60.4161, aux.loss_seg: 0.4138, aux.acc_seg: 53.2715, loss: 1.1330
2022-01-31 03:06:45,465 - mmseg - INFO - Iter [9850/160000] lr: 3.470e-07, eta: 1 day, 0:51:20, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6862, decode.acc_seg: 60.2893, aux.loss_seg: 0.4009, aux.acc_seg: 53.4628, loss: 1.0871
2022-01-31 03:07:14,831 - mmseg - INFO - Iter [9900/160000] lr: 3.468e-07, eta: 1 day, 0:50:44, time: 0.588, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6909, decode.acc_seg: 61.7797, aux.loss_seg: 0.4063, aux.acc_seg: 54.8263, loss: 1.0972
2022-01-31 03:07:44,063 - mmseg - INFO - Iter [9950/160000] lr: 3.467e-07, eta: 1 day, 0:50:05, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7220, decode.acc_seg: 59.5625, aux.loss_seg: 0.4152, aux.acc_seg: 52.4384, loss: 1.1371
2022-01-31 03:08:13,309 - mmseg - INFO - Exp name: upernet_mae_base_12_512_slide_160k_ade20k_iv1_qkv_bs16_lr1e4_pt.py
2022-01-31 03:08:13,311 - mmseg - INFO - Iter [10000/160000] lr: 3.466e-07, eta: 1 day, 0:49:28, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7169, decode.acc_seg: 60.1186, aux.loss_seg: 0.4298, aux.acc_seg: 52.4179, loss: 1.1468
2022-01-31 03:08:42,602 - mmseg - INFO - Iter [10050/160000] lr: 3.465e-07, eta: 1 day, 0:48:50, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6998, decode.acc_seg: 59.6101, aux.loss_seg: 0.4000, aux.acc_seg: 53.3696, loss: 1.0998
2022-01-31 03:09:11,538 - mmseg - INFO - Iter [10100/160000] lr: 3.464e-07, eta: 1 day, 0:48:08, time: 0.579, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6733, decode.acc_seg: 61.4055, aux.loss_seg: 0.4062, aux.acc_seg: 54.1746, loss: 1.0795
2022-01-31 03:09:51,937 - mmseg - INFO - Iter [10150/160000] lr: 3.463e-07, eta: 1 day, 0:50:15, time: 0.808, data_time: 0.233, memory: 21005, decode.loss_seg: 0.6687, decode.acc_seg: 60.0734, aux.loss_seg: 0.4152, aux.acc_seg: 51.9747, loss: 1.0839
2022-01-31 03:10:21,410 - mmseg - INFO - Iter [10200/160000] lr: 3.462e-07, eta: 1 day, 0:49:40, time: 0.590, data_time: 0.005, memory: 21005, decode.loss_seg: 0.6307, decode.acc_seg: 59.9159, aux.loss_seg: 0.3782, aux.acc_seg: 53.1316, loss: 1.0089
2022-01-31 03:10:50,426 - mmseg - INFO - Iter [10250/160000] lr: 3.460e-07, eta: 1 day, 0:48:58, time: 0.580, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6845, decode.acc_seg: 60.9663, aux.loss_seg: 0.4060, aux.acc_seg: 53.6900, loss: 1.0904
2022-01-31 03:11:19,561 - mmseg - INFO - Iter [10300/160000] lr: 3.459e-07, eta: 1 day, 0:48:18, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6293, decode.acc_seg: 60.6838, aux.loss_seg: 0.3621, aux.acc_seg: 54.9409, loss: 0.9914
2022-01-31 03:11:48,580 - mmseg - INFO - Iter [10350/160000] lr: 3.458e-07, eta: 1 day, 0:47:36, time: 0.580, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6488, decode.acc_seg: 61.5854, aux.loss_seg: 0.3932, aux.acc_seg: 54.0992, loss: 1.0420
2022-01-31 03:12:17,717 - mmseg - INFO - Iter [10400/160000] lr: 3.457e-07, eta: 1 day, 0:46:57, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6984, decode.acc_seg: 61.0317, aux.loss_seg: 0.4029, aux.acc_seg: 54.0307, loss: 1.1013
2022-01-31 03:12:46,952 - mmseg - INFO - Iter [10450/160000] lr: 3.456e-07, eta: 1 day, 0:46:18, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6794, decode.acc_seg: 60.3705, aux.loss_seg: 0.4116, aux.acc_seg: 52.3889, loss: 1.0910
2022-01-31 03:13:16,159 - mmseg - INFO - Iter [10500/160000] lr: 3.455e-07, eta: 1 day, 0:45:40, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6500, decode.acc_seg: 62.9351, aux.loss_seg: 0.3883, aux.acc_seg: 55.6431, loss: 1.0382
2022-01-31 03:13:45,306 - mmseg - INFO - Iter [10550/160000] lr: 3.453e-07, eta: 1 day, 0:45:01, time: 0.583, data_time: 0.005, memory: 21005, decode.loss_seg: 0.6450, decode.acc_seg: 63.5103, aux.loss_seg: 0.3852, aux.acc_seg: 56.2098, loss: 1.0302
2022-01-31 03:14:14,498 - mmseg - INFO - Iter [10600/160000] lr: 3.452e-07, eta: 1 day, 0:44:22, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6581, decode.acc_seg: 62.0078, aux.loss_seg: 0.3965, aux.acc_seg: 55.0014, loss: 1.0546
2022-01-31 03:14:43,738 - mmseg - INFO - Iter [10650/160000] lr: 3.451e-07, eta: 1 day, 0:43:44, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6512, decode.acc_seg: 62.2628, aux.loss_seg: 0.3872, aux.acc_seg: 55.0265, loss: 1.0384
2022-01-31 03:15:13,047 - mmseg - INFO - Iter [10700/160000] lr: 3.450e-07, eta: 1 day, 0:43:08, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6546, decode.acc_seg: 60.1732, aux.loss_seg: 0.3938, aux.acc_seg: 52.7171, loss: 1.0484
2022-01-31 03:15:42,187 - mmseg - INFO - Iter [10750/160000] lr: 3.449e-07, eta: 1 day, 0:42:29, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6601, decode.acc_seg: 62.2345, aux.loss_seg: 0.3980, aux.acc_seg: 54.6462, loss: 1.0582
2022-01-31 03:16:11,493 - mmseg - INFO - Iter [10800/160000] lr: 3.448e-07, eta: 1 day, 0:41:52, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6660, decode.acc_seg: 61.5591, aux.loss_seg: 0.3961, aux.acc_seg: 54.5103, loss: 1.0620
2022-01-31 03:16:40,771 - mmseg - INFO - Iter [10850/160000] lr: 3.447e-07, eta: 1 day, 0:41:15, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6526, decode.acc_seg: 60.9164, aux.loss_seg: 0.3815, aux.acc_seg: 53.8169, loss: 1.0341
2022-01-31 03:17:09,888 - mmseg - INFO - Iter [10900/160000] lr: 3.445e-07, eta: 1 day, 0:40:36, time: 0.582, data_time: 0.003, memory: 21005, decode.loss_seg: 0.6876, decode.acc_seg: 60.8367, aux.loss_seg: 0.4086, aux.acc_seg: 53.3693, loss: 1.0962
2022-01-31 03:17:39,090 - mmseg - INFO - Iter [10950/160000] lr: 3.444e-07, eta: 1 day, 0:39:58, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.7098, decode.acc_seg: 60.6467, aux.loss_seg: 0.4177, aux.acc_seg: 53.6320, loss: 1.1275
2022-01-31 03:18:08,370 - mmseg - INFO - Exp name: upernet_mae_base_12_512_slide_160k_ade20k_iv1_qkv_bs16_lr1e4_pt.py
2022-01-31 03:18:08,372 - mmseg - INFO - Iter [11000/160000] lr: 3.443e-07, eta: 1 day, 0:39:22, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6523, decode.acc_seg: 61.5572, aux.loss_seg: 0.3952, aux.acc_seg: 53.9577, loss: 1.0475
2022-01-31 03:18:37,461 - mmseg - INFO - Iter [11050/160000] lr: 3.442e-07, eta: 1 day, 0:38:43, time: 0.582, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6822, decode.acc_seg: 61.4096, aux.loss_seg: 0.4031, aux.acc_seg: 54.0728, loss: 1.0853
2022-01-31 03:19:06,468 - mmseg - INFO - Iter [11100/160000] lr: 3.441e-07, eta: 1 day, 0:38:02, time: 0.580, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6666, decode.acc_seg: 61.3088, aux.loss_seg: 0.3968, aux.acc_seg: 53.8474, loss: 1.0634
2022-01-31 03:19:35,860 - mmseg - INFO - Iter [11150/160000] lr: 3.440e-07, eta: 1 day, 0:37:27, time: 0.588, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6576, decode.acc_seg: 62.8866, aux.loss_seg: 0.3978, aux.acc_seg: 55.3148, loss: 1.0553
2022-01-31 03:20:04,848 - mmseg - INFO - Iter [11200/160000] lr: 3.438e-07, eta: 1 day, 0:36:47, time: 0.580, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6919, decode.acc_seg: 59.7473, aux.loss_seg: 0.3926, aux.acc_seg: 53.4992, loss: 1.0844
2022-01-31 03:20:33,793 - mmseg - INFO - Iter [11250/160000] lr: 3.437e-07, eta: 1 day, 0:36:06, time: 0.579, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6378, decode.acc_seg: 61.8251, aux.loss_seg: 0.3823, aux.acc_seg: 54.8910, loss: 1.0202
2022-01-31 03:21:03,100 - mmseg - INFO - Iter [11300/160000] lr: 3.436e-07, eta: 1 day, 0:35:30, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6445, decode.acc_seg: 61.0007, aux.loss_seg: 0.3835, aux.acc_seg: 54.2691, loss: 1.0281
2022-01-31 03:21:32,450 - mmseg - INFO - Iter [11350/160000] lr: 3.435e-07, eta: 1 day, 0:34:55, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6759, decode.acc_seg: 60.5456, aux.loss_seg: 0.3963, aux.acc_seg: 53.3512, loss: 1.0722
2022-01-31 03:22:13,730 - mmseg - INFO - Iter [11400/160000] lr: 3.434e-07, eta: 1 day, 0:36:55, time: 0.825, data_time: 0.245, memory: 21005, decode.loss_seg: 0.6307, decode.acc_seg: 63.0326, aux.loss_seg: 0.3859, aux.acc_seg: 55.7726, loss: 1.0166
2022-01-31 03:22:42,784 - mmseg - INFO - Iter [11450/160000] lr: 3.433e-07, eta: 1 day, 0:36:16, time: 0.581, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6392, decode.acc_seg: 62.3426, aux.loss_seg: 0.3808, aux.acc_seg: 55.3754, loss: 1.0200
2022-01-31 03:23:11,753 - mmseg - INFO - Iter [11500/160000] lr: 3.431e-07, eta: 1 day, 0:35:35, time: 0.580, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6849, decode.acc_seg: 61.0974, aux.loss_seg: 0.4121, aux.acc_seg: 53.4015, loss: 1.0970
2022-01-31 03:23:41,070 - mmseg - INFO - Iter [11550/160000] lr: 3.430e-07, eta: 1 day, 0:34:59, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6891, decode.acc_seg: 60.9422, aux.loss_seg: 0.4233, aux.acc_seg: 52.8886, loss: 1.1123
2022-01-31 03:24:10,330 - mmseg - INFO - Iter [11600/160000] lr: 3.429e-07, eta: 1 day, 0:34:22, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6407, decode.acc_seg: 61.2327, aux.loss_seg: 0.3948, aux.acc_seg: 53.5306, loss: 1.0355
2022-01-31 03:24:39,556 - mmseg - INFO - Iter [11650/160000] lr: 3.428e-07, eta: 1 day, 0:33:45, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6388, decode.acc_seg: 61.7579, aux.loss_seg: 0.3809, aux.acc_seg: 54.4587, loss: 1.0197
2022-01-31 03:25:08,758 - mmseg - INFO - Iter [11700/160000] lr: 3.427e-07, eta: 1 day, 0:33:07, time: 0.584, data_time: 0.005, memory: 21005, decode.loss_seg: 0.6338, decode.acc_seg: 62.5629, aux.loss_seg: 0.3720, aux.acc_seg: 55.6892, loss: 1.0058
2022-01-31 03:25:37,930 - mmseg - INFO - Iter [11750/160000] lr: 3.426e-07, eta: 1 day, 0:32:30, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6462, decode.acc_seg: 62.3343, aux.loss_seg: 0.3984, aux.acc_seg: 54.3132, loss: 1.0446
2022-01-31 03:26:07,214 - mmseg - INFO - Iter [11800/160000] lr: 3.425e-07, eta: 1 day, 0:31:53, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6395, decode.acc_seg: 63.1544, aux.loss_seg: 0.3773, aux.acc_seg: 56.6813, loss: 1.0168
2022-01-31 03:26:36,512 - mmseg - INFO - Iter [11850/160000] lr: 3.423e-07, eta: 1 day, 0:31:18, time: 0.586, data_time: 0.005, memory: 21005, decode.loss_seg: 0.6135, decode.acc_seg: 60.3018, aux.loss_seg: 0.3713, aux.acc_seg: 53.5865, loss: 0.9848
2022-01-31 03:27:05,563 - mmseg - INFO - Iter [11900/160000] lr: 3.422e-07, eta: 1 day, 0:30:38, time: 0.581, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6793, decode.acc_seg: 61.1195, aux.loss_seg: 0.4092, aux.acc_seg: 53.6266, loss: 1.0885
2022-01-31 03:27:34,734 - mmseg - INFO - Iter [11950/160000] lr: 3.421e-07, eta: 1 day, 0:30:01, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6377, decode.acc_seg: 62.1785, aux.loss_seg: 0.3817, aux.acc_seg: 55.9966, loss: 1.0194
2022-01-31 03:28:03,981 - mmseg - INFO - Exp name: upernet_mae_base_12_512_slide_160k_ade20k_iv1_qkv_bs16_lr1e4_pt.py
2022-01-31 03:28:03,983 - mmseg - INFO - Iter [12000/160000] lr: 3.420e-07, eta: 1 day, 0:29:24, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6592, decode.acc_seg: 61.5414, aux.loss_seg: 0.4017, aux.acc_seg: 53.6625, loss: 1.0610
2022-01-31 03:28:33,191 - mmseg - INFO - Iter [12050/160000] lr: 3.419e-07, eta: 1 day, 0:28:48, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6643, decode.acc_seg: 61.3848, aux.loss_seg: 0.4026, aux.acc_seg: 53.6726, loss: 1.0670
2022-01-31 03:29:02,430 - mmseg - INFO - Iter [12100/160000] lr: 3.418e-07, eta: 1 day, 0:28:11, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6394, decode.acc_seg: 62.1702, aux.loss_seg: 0.3853, aux.acc_seg: 55.1985, loss: 1.0247
2022-01-31 03:29:31,550 - mmseg - INFO - Iter [12150/160000] lr: 3.416e-07, eta: 1 day, 0:27:33, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6042, decode.acc_seg: 61.4023, aux.loss_seg: 0.3755, aux.acc_seg: 54.0527, loss: 0.9797
2022-01-31 03:30:00,842 - mmseg - INFO - Iter [12200/160000] lr: 3.415e-07, eta: 1 day, 0:26:58, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6527, decode.acc_seg: 62.6639, aux.loss_seg: 0.3916, aux.acc_seg: 55.9446, loss: 1.0443
2022-01-31 03:30:30,136 - mmseg - INFO - Iter [12250/160000] lr: 3.414e-07, eta: 1 day, 0:26:22, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6598, decode.acc_seg: 61.4810, aux.loss_seg: 0.3920, aux.acc_seg: 54.7047, loss: 1.0518
2022-01-31 03:30:59,253 - mmseg - INFO - Iter [12300/160000] lr: 3.413e-07, eta: 1 day, 0:25:45, time: 0.582, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6234, decode.acc_seg: 59.8178, aux.loss_seg: 0.3794, aux.acc_seg: 52.7573, loss: 1.0028
2022-01-31 03:31:28,409 - mmseg - INFO - Iter [12350/160000] lr: 3.412e-07, eta: 1 day, 0:25:07, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6266, decode.acc_seg: 63.4577, aux.loss_seg: 0.3751, aux.acc_seg: 56.6932, loss: 1.0018
2022-01-31 03:31:57,617 - mmseg - INFO - Iter [12400/160000] lr: 3.411e-07, eta: 1 day, 0:24:31, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6403, decode.acc_seg: 61.1197, aux.loss_seg: 0.3762, aux.acc_seg: 54.3203, loss: 1.0165
2022-01-31 03:32:27,256 - mmseg - INFO - Iter [12450/160000] lr: 3.410e-07, eta: 1 day, 0:24:00, time: 0.592, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6192, decode.acc_seg: 60.7995, aux.loss_seg: 0.3779, aux.acc_seg: 53.2210, loss: 0.9971
2022-01-31 03:32:56,717 - mmseg - INFO - Iter [12500/160000] lr: 3.408e-07, eta: 1 day, 0:23:26, time: 0.589, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6888, decode.acc_seg: 61.6438, aux.loss_seg: 0.4090, aux.acc_seg: 54.2900, loss: 1.0979
2022-01-31 03:33:25,925 - mmseg - INFO - Iter [12550/160000] lr: 3.407e-07, eta: 1 day, 0:22:50, time: 0.585, data_time: 0.005, memory: 21005, decode.loss_seg: 0.6552, decode.acc_seg: 62.7139, aux.loss_seg: 0.3875, aux.acc_seg: 55.6364, loss: 1.0427
2022-01-31 03:33:55,022 - mmseg - INFO - Iter [12600/160000] lr: 3.406e-07, eta: 1 day, 0:22:12, time: 0.582, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6629, decode.acc_seg: 60.1246, aux.loss_seg: 0.4087, aux.acc_seg: 51.9832, loss: 1.0716
2022-01-31 03:34:36,472 - mmseg - INFO - Iter [12650/160000] lr: 3.405e-07, eta: 1 day, 0:23:59, time: 0.829, data_time: 0.232, memory: 21005, decode.loss_seg: 0.6913, decode.acc_seg: 61.3795, aux.loss_seg: 0.4116, aux.acc_seg: 53.4707, loss: 1.1030
2022-01-31 03:35:05,264 - mmseg - INFO - Iter [12700/160000] lr: 3.404e-07, eta: 1 day, 0:23:17, time: 0.576, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6461, decode.acc_seg: 61.6742, aux.loss_seg: 0.3981, aux.acc_seg: 53.9730, loss: 1.0442
2022-01-31 03:35:34,141 - mmseg - INFO - Iter [12750/160000] lr: 3.403e-07, eta: 1 day, 0:22:37, time: 0.578, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6180, decode.acc_seg: 60.5971, aux.loss_seg: 0.3787, aux.acc_seg: 53.2944, loss: 0.9967
2022-01-31 03:36:03,190 - mmseg - INFO - Iter [12800/160000] lr: 3.401e-07, eta: 1 day, 0:21:58, time: 0.581, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6435, decode.acc_seg: 60.7229, aux.loss_seg: 0.4029, aux.acc_seg: 52.4779, loss: 1.0463
2022-01-31 03:36:32,238 - mmseg - INFO - Iter [12850/160000] lr: 3.400e-07, eta: 1 day, 0:21:20, time: 0.581, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6208, decode.acc_seg: 62.8790, aux.loss_seg: 0.3833, aux.acc_seg: 54.8198, loss: 1.0041
2022-01-31 03:37:01,368 - mmseg - INFO - Iter [12900/160000] lr: 3.399e-07, eta: 1 day, 0:20:43, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6625, decode.acc_seg: 61.8123, aux.loss_seg: 0.4044, aux.acc_seg: 54.2912, loss: 1.0669
2022-01-31 03:37:30,517 - mmseg - INFO - Iter [12950/160000] lr: 3.398e-07, eta: 1 day, 0:20:05, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6472, decode.acc_seg: 61.9052, aux.loss_seg: 0.3862, aux.acc_seg: 54.9496, loss: 1.0334
2022-01-31 03:37:59,676 - mmseg - INFO - Exp name: upernet_mae_base_12_512_slide_160k_ade20k_iv1_qkv_bs16_lr1e4_pt.py
2022-01-31 03:37:59,678 - mmseg - INFO - Iter [13000/160000] lr: 3.397e-07, eta: 1 day, 0:19:28, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6227, decode.acc_seg: 61.2825, aux.loss_seg: 0.3802, aux.acc_seg: 53.9457, loss: 1.0029
2022-01-31 03:38:28,752 - mmseg - INFO - Iter [13050/160000] lr: 3.396e-07, eta: 1 day, 0:18:51, time: 0.582, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6467, decode.acc_seg: 62.3511, aux.loss_seg: 0.3950, aux.acc_seg: 54.7771, loss: 1.0417
2022-01-31 03:38:58,071 - mmseg - INFO - Iter [13100/160000] lr: 3.395e-07, eta: 1 day, 0:18:16, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6288, decode.acc_seg: 60.9385, aux.loss_seg: 0.3716, aux.acc_seg: 54.6055, loss: 1.0004
2022-01-31 03:39:27,315 - mmseg - INFO - Iter [13150/160000] lr: 3.393e-07, eta: 1 day, 0:17:40, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6545, decode.acc_seg: 63.7013, aux.loss_seg: 0.4010, aux.acc_seg: 55.8101, loss: 1.0555
2022-01-31 03:39:56,493 - mmseg - INFO - Iter [13200/160000] lr: 3.392e-07, eta: 1 day, 0:17:04, time: 0.584, data_time: 0.005, memory: 21005, decode.loss_seg: 0.6189, decode.acc_seg: 63.1750, aux.loss_seg: 0.3689, aux.acc_seg: 56.4497, loss: 0.9877
2022-01-31 03:40:25,670 - mmseg - INFO - Iter [13250/160000] lr: 3.391e-07, eta: 1 day, 0:16:27, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6429, decode.acc_seg: 62.5162, aux.loss_seg: 0.3928, aux.acc_seg: 54.9748, loss: 1.0357
2022-01-31 03:40:55,037 - mmseg - INFO - Iter [13300/160000] lr: 3.390e-07, eta: 1 day, 0:15:53, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6029, decode.acc_seg: 62.4248, aux.loss_seg: 0.3712, aux.acc_seg: 55.0189, loss: 0.9741
2022-01-31 03:41:24,510 - mmseg - INFO - Iter [13350/160000] lr: 3.389e-07, eta: 1 day, 0:15:20, time: 0.589, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6348, decode.acc_seg: 61.0088, aux.loss_seg: 0.3822, aux.acc_seg: 53.7978, loss: 1.0170
2022-01-31 03:41:53,701 - mmseg - INFO - Iter [13400/160000] lr: 3.388e-07, eta: 1 day, 0:14:44, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6062, decode.acc_seg: 61.6941, aux.loss_seg: 0.3685, aux.acc_seg: 54.7213, loss: 0.9747
2022-01-31 03:42:23,056 - mmseg - INFO - Iter [13450/160000] lr: 3.386e-07, eta: 1 day, 0:14:09, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6398, decode.acc_seg: 61.9099, aux.loss_seg: 0.3826, aux.acc_seg: 54.8627, loss: 1.0224
2022-01-31 03:42:52,157 - mmseg - INFO - Iter [13500/160000] lr: 3.385e-07, eta: 1 day, 0:13:32, time: 0.582, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6350, decode.acc_seg: 60.8249, aux.loss_seg: 0.3823, aux.acc_seg: 53.3862, loss: 1.0174
2022-01-31 03:43:21,332 - mmseg - INFO - Iter [13550/160000] lr: 3.384e-07, eta: 1 day, 0:12:56, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6392, decode.acc_seg: 61.5533, aux.loss_seg: 0.3884, aux.acc_seg: 54.0203, loss: 1.0276
2022-01-31 03:43:50,784 - mmseg - INFO - Iter [13600/160000] lr: 3.383e-07, eta: 1 day, 0:12:23, time: 0.589, data_time: 0.004, memory: 21005, decode.loss_seg: 0.5932, decode.acc_seg: 63.3980, aux.loss_seg: 0.3837, aux.acc_seg: 55.1007, loss: 0.9770
2022-01-31 03:44:20,060 - mmseg - INFO - Iter [13650/160000] lr: 3.382e-07, eta: 1 day, 0:11:48, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6048, decode.acc_seg: 62.6014, aux.loss_seg: 0.3723, aux.acc_seg: 55.5984, loss: 0.9771
2022-01-31 03:44:49,237 - mmseg - INFO - Iter [13700/160000] lr: 3.381e-07, eta: 1 day, 0:11:12, time: 0.584, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6029, decode.acc_seg: 63.6462, aux.loss_seg: 0.3756, aux.acc_seg: 56.1966, loss: 0.9785
2022-01-31 03:45:18,539 - mmseg - INFO - Iter [13750/160000] lr: 3.380e-07, eta: 1 day, 0:10:38, time: 0.586, data_time: 0.005, memory: 21005, decode.loss_seg: 0.5963, decode.acc_seg: 62.7869, aux.loss_seg: 0.3601, aux.acc_seg: 55.5747, loss: 0.9564
2022-01-31 03:45:47,917 - mmseg - INFO - Iter [13800/160000] lr: 3.378e-07, eta: 1 day, 0:10:04, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6062, decode.acc_seg: 64.8116, aux.loss_seg: 0.3631, aux.acc_seg: 58.0635, loss: 0.9692
2022-01-31 03:46:17,212 - mmseg - INFO - Iter [13850/160000] lr: 3.377e-07, eta: 1 day, 0:09:29, time: 0.586, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6718, decode.acc_seg: 62.4575, aux.loss_seg: 0.3970, aux.acc_seg: 54.9686, loss: 1.0688
2022-01-31 03:46:59,522 - mmseg - INFO - Iter [13900/160000] lr: 3.376e-07, eta: 1 day, 0:11:11, time: 0.846, data_time: 0.251, memory: 21005, decode.loss_seg: 0.6304, decode.acc_seg: 64.0053, aux.loss_seg: 0.3800, aux.acc_seg: 57.0493, loss: 1.0104
2022-01-31 03:47:28,601 - mmseg - INFO - Iter [13950/160000] lr: 3.375e-07, eta: 1 day, 0:10:34, time: 0.581, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6064, decode.acc_seg: 61.8382, aux.loss_seg: 0.3729, aux.acc_seg: 54.6752, loss: 0.9793
2022-01-31 03:47:57,664 - mmseg - INFO - Exp name: upernet_mae_base_12_512_slide_160k_ade20k_iv1_qkv_bs16_lr1e4_pt.py
2022-01-31 03:47:57,665 - mmseg - INFO - Iter [14000/160000] lr: 3.374e-07, eta: 1 day, 0:09:57, time: 0.582, data_time: 0.005, memory: 21005, decode.loss_seg: 0.6103, decode.acc_seg: 61.6284, aux.loss_seg: 0.3923, aux.acc_seg: 53.3010, loss: 1.0026
2022-01-31 03:48:26,634 - mmseg - INFO - Iter [14050/160000] lr: 3.373e-07, eta: 1 day, 0:09:18, time: 0.579, data_time: 0.004, memory: 21005, decode.loss_seg: 0.5690, decode.acc_seg: 64.1074, aux.loss_seg: 0.3645, aux.acc_seg: 56.1461, loss: 0.9335
2022-01-31 03:48:55,842 - mmseg - INFO - Iter [14100/160000] lr: 3.371e-07, eta: 1 day, 0:08:42, time: 0.584, data_time: 0.005, memory: 21005, decode.loss_seg: 0.5915, decode.acc_seg: 63.4803, aux.loss_seg: 0.3666, aux.acc_seg: 56.0676, loss: 0.9581
2022-01-31 03:49:24,970 - mmseg - INFO - Iter [14150/160000] lr: 3.370e-07, eta: 1 day, 0:08:06, time: 0.582, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6015, decode.acc_seg: 62.8958, aux.loss_seg: 0.3530, aux.acc_seg: 56.5176, loss: 0.9545
2022-01-31 03:49:54,126 - mmseg - INFO - Iter [14200/160000] lr: 3.369e-07, eta: 1 day, 0:07:29, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6734, decode.acc_seg: 62.9354, aux.loss_seg: 0.4051, aux.acc_seg: 55.8096, loss: 1.0785
2022-01-31 03:50:23,120 - mmseg - INFO - Iter [14250/160000] lr: 3.368e-07, eta: 1 day, 0:06:51, time: 0.579, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6183, decode.acc_seg: 62.4599, aux.loss_seg: 0.3782, aux.acc_seg: 55.3467, loss: 0.9965
2022-01-31 03:50:52,117 - mmseg - INFO - Iter [14300/160000] lr: 3.367e-07, eta: 1 day, 0:06:14, time: 0.581, data_time: 0.005, memory: 21005, decode.loss_seg: 0.6308, decode.acc_seg: 60.7546, aux.loss_seg: 0.3858, aux.acc_seg: 53.6612, loss: 1.0166
2022-01-31 03:51:21,235 - mmseg - INFO - Iter [14350/160000] lr: 3.366e-07, eta: 1 day, 0:05:37, time: 0.582, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6380, decode.acc_seg: 60.5662, aux.loss_seg: 0.3693, aux.acc_seg: 54.5388, loss: 1.0074
2022-01-31 03:51:50,420 - mmseg - INFO - Iter [14400/160000] lr: 3.364e-07, eta: 1 day, 0:05:01, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.5646, decode.acc_seg: 62.0142, aux.loss_seg: 0.3581, aux.acc_seg: 54.3868, loss: 0.9227
2022-01-31 03:52:19,470 - mmseg - INFO - Iter [14450/160000] lr: 3.363e-07, eta: 1 day, 0:04:25, time: 0.581, data_time: 0.005, memory: 21005, decode.loss_seg: 0.5584, decode.acc_seg: 64.6300, aux.loss_seg: 0.3535, aux.acc_seg: 57.1143, loss: 0.9119
2022-01-31 03:52:48,543 - mmseg - INFO - Iter [14500/160000] lr: 3.362e-07, eta: 1 day, 0:03:48, time: 0.581, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6236, decode.acc_seg: 60.6947, aux.loss_seg: 0.3791, aux.acc_seg: 53.6122, loss: 1.0027
2022-01-31 03:53:17,635 - mmseg - INFO - Iter [14550/160000] lr: 3.361e-07, eta: 1 day, 0:03:11, time: 0.582, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6195, decode.acc_seg: 61.6876, aux.loss_seg: 0.3887, aux.acc_seg: 53.8542, loss: 1.0083
2022-01-31 03:53:46,886 - mmseg - INFO - Iter [14600/160000] lr: 3.360e-07, eta: 1 day, 0:02:36, time: 0.585, data_time: 0.005, memory: 21005, decode.loss_seg: 0.6546, decode.acc_seg: 63.0773, aux.loss_seg: 0.3944, aux.acc_seg: 55.6016, loss: 1.0490
2022-01-31 03:54:15,900 - mmseg - INFO - Iter [14650/160000] lr: 3.359e-07, eta: 1 day, 0:01:59, time: 0.580, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6316, decode.acc_seg: 63.5430, aux.loss_seg: 0.3808, aux.acc_seg: 56.1095, loss: 1.0125
2022-01-31 03:54:45,573 - mmseg - INFO - Iter [14700/160000] lr: 3.358e-07, eta: 1 day, 0:01:29, time: 0.594, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6240, decode.acc_seg: 63.1461, aux.loss_seg: 0.3896, aux.acc_seg: 54.9674, loss: 1.0136
2022-01-31 03:55:14,965 - mmseg - INFO - Iter [14750/160000] lr: 3.356e-07, eta: 1 day, 0:00:55, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6104, decode.acc_seg: 61.1201, aux.loss_seg: 0.3738, aux.acc_seg: 53.8975, loss: 0.9842
2022-01-31 03:55:44,055 - mmseg - INFO - Iter [14800/160000] lr: 3.355e-07, eta: 1 day, 0:00:19, time: 0.582, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6242, decode.acc_seg: 61.9246, aux.loss_seg: 0.3744, aux.acc_seg: 55.1861, loss: 0.9986
2022-01-31 03:56:13,323 - mmseg - INFO - Iter [14850/160000] lr: 3.354e-07, eta: 23:59:44, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6249, decode.acc_seg: 62.9151, aux.loss_seg: 0.3903, aux.acc_seg: 55.2642, loss: 1.0152
2022-01-31 03:56:42,595 - mmseg - INFO - Iter [14900/160000] lr: 3.353e-07, eta: 23:59:10, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6039, decode.acc_seg: 63.5063, aux.loss_seg: 0.3642, aux.acc_seg: 56.3972, loss: 0.9682
2022-01-31 03:57:11,707 - mmseg - INFO - Iter [14950/160000] lr: 3.352e-07, eta: 23:58:34, time: 0.582, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6391, decode.acc_seg: 62.4541, aux.loss_seg: 0.3952, aux.acc_seg: 54.5330, loss: 1.0343
2022-01-31 03:57:40,944 - mmseg - INFO - Exp name: upernet_mae_base_12_512_slide_160k_ade20k_iv1_qkv_bs16_lr1e4_pt.py
2022-01-31 03:57:40,946 - mmseg - INFO - Iter [15000/160000] lr: 3.351e-07, eta: 23:57:59, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6450, decode.acc_seg: 62.2406, aux.loss_seg: 0.3900, aux.acc_seg: 54.5766, loss: 1.0350
2022-01-31 03:58:10,058 - mmseg - INFO - Iter [15050/160000] lr: 3.349e-07, eta: 23:57:23, time: 0.582, data_time: 0.004, memory: 21005, decode.loss_seg: 0.5852, decode.acc_seg: 63.7447, aux.loss_seg: 0.3576, aux.acc_seg: 56.8325, loss: 0.9429
2022-01-31 03:58:39,024 - mmseg - INFO - Iter [15100/160000] lr: 3.348e-07, eta: 23:56:46, time: 0.579, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6031, decode.acc_seg: 63.7900, aux.loss_seg: 0.3665, aux.acc_seg: 56.7442, loss: 0.9697
2022-01-31 03:59:08,151 - mmseg - INFO - Iter [15150/160000] lr: 3.347e-07, eta: 23:56:10, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6105, decode.acc_seg: 62.0015, aux.loss_seg: 0.3845, aux.acc_seg: 54.4986, loss: 0.9950
2022-01-31 03:59:49,093 - mmseg - INFO - Iter [15200/160000] lr: 3.346e-07, eta: 23:57:27, time: 0.819, data_time: 0.244, memory: 21005, decode.loss_seg: 0.6111, decode.acc_seg: 62.3434, aux.loss_seg: 0.3632, aux.acc_seg: 55.4783, loss: 0.9743
2022-01-31 04:00:17,904 - mmseg - INFO - Iter [15250/160000] lr: 3.345e-07, eta: 23:56:48, time: 0.577, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6110, decode.acc_seg: 64.0580, aux.loss_seg: 0.3912, aux.acc_seg: 55.5189, loss: 1.0023
2022-01-31 04:00:46,827 - mmseg - INFO - Iter [15300/160000] lr: 3.344e-07, eta: 23:56:10, time: 0.578, data_time: 0.003, memory: 21005, decode.loss_seg: 0.5951, decode.acc_seg: 62.3030, aux.loss_seg: 0.3716, aux.acc_seg: 54.7419, loss: 0.9667
2022-01-31 04:01:15,790 - mmseg - INFO - Iter [15350/160000] lr: 3.343e-07, eta: 23:55:33, time: 0.579, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6058, decode.acc_seg: 63.4979, aux.loss_seg: 0.3703, aux.acc_seg: 56.8963, loss: 0.9761
2022-01-31 04:01:44,938 - mmseg - INFO - Iter [15400/160000] lr: 3.341e-07, eta: 23:54:57, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.5494, decode.acc_seg: 63.4569, aux.loss_seg: 0.3437, aux.acc_seg: 56.2401, loss: 0.8932
2022-01-31 04:02:14,058 - mmseg - INFO - Iter [15450/160000] lr: 3.340e-07, eta: 23:54:21, time: 0.583, data_time: 0.005, memory: 21005, decode.loss_seg: 0.6164, decode.acc_seg: 63.8140, aux.loss_seg: 0.3719, aux.acc_seg: 56.9032, loss: 0.9883
2022-01-31 04:02:43,163 - mmseg - INFO - Iter [15500/160000] lr: 3.339e-07, eta: 23:53:45, time: 0.582, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6169, decode.acc_seg: 63.3729, aux.loss_seg: 0.3777, aux.acc_seg: 55.8739, loss: 0.9946
2022-01-31 04:03:12,200 - mmseg - INFO - Iter [15550/160000] lr: 3.338e-07, eta: 23:53:09, time: 0.581, data_time: 0.003, memory: 21005, decode.loss_seg: 0.6435, decode.acc_seg: 61.9724, aux.loss_seg: 0.3925, aux.acc_seg: 54.6858, loss: 1.0360
2022-01-31 04:03:41,248 - mmseg - INFO - Iter [15600/160000] lr: 3.337e-07, eta: 23:52:32, time: 0.581, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6170, decode.acc_seg: 62.0200, aux.loss_seg: 0.3778, aux.acc_seg: 54.3750, loss: 0.9948
2022-01-31 04:04:10,416 - mmseg - INFO - Iter [15650/160000] lr: 3.336e-07, eta: 23:51:57, time: 0.583, data_time: 0.004, memory: 21005, decode.loss_seg: 0.5976, decode.acc_seg: 63.8933, aux.loss_seg: 0.3805, aux.acc_seg: 55.5292, loss: 0.9781
2022-01-31 04:04:39,497 - mmseg - INFO - Iter [15700/160000] lr: 3.334e-07, eta: 23:51:21, time: 0.581, data_time: 0.004, memory: 21005, decode.loss_seg: 0.5610, decode.acc_seg: 63.8375, aux.loss_seg: 0.3501, aux.acc_seg: 56.2172, loss: 0.9110
2022-01-31 04:05:08,628 - mmseg - INFO - Iter [15750/160000] lr: 3.333e-07, eta: 23:50:45, time: 0.583, data_time: 0.005, memory: 21005, decode.loss_seg: 0.5580, decode.acc_seg: 64.2456, aux.loss_seg: 0.3589, aux.acc_seg: 56.6521, loss: 0.9169
2022-01-31 04:05:37,686 - mmseg - INFO - Iter [15800/160000] lr: 3.332e-07, eta: 23:50:09, time: 0.581, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6101, decode.acc_seg: 63.4729, aux.loss_seg: 0.3756, aux.acc_seg: 55.5330, loss: 0.9856
2022-01-31 04:06:07,279 - mmseg - INFO - Iter [15850/160000] lr: 3.331e-07, eta: 23:49:38, time: 0.592, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6024, decode.acc_seg: 62.9026, aux.loss_seg: 0.3678, aux.acc_seg: 55.7574, loss: 0.9703
2022-01-31 04:06:36,654 - mmseg - INFO - Iter [15900/160000] lr: 3.330e-07, eta: 23:49:05, time: 0.587, data_time: 0.004, memory: 21005, decode.loss_seg: 0.5929, decode.acc_seg: 63.0624, aux.loss_seg: 0.3664, aux.acc_seg: 55.8976, loss: 0.9593
2022-01-31 04:07:05,876 - mmseg - INFO - Iter [15950/160000] lr: 3.329e-07, eta: 23:48:31, time: 0.585, data_time: 0.004, memory: 21005, decode.loss_seg: 0.6031, decode.acc_seg: 63.1153, aux.loss_seg: 0.3711, aux.acc_seg: 55.1870, loss: 0.9742
2022-01-31 04:07:35,105 - mmseg - INFO - Saving checkpoint at 16000 iterations
2022-01-31 04:09:14,452 - mmseg - INFO - per class results:
2022-01-31 04:09:14,460 - mmseg - INFO -
+---------------------+-------+-------+
| Class | IoU | Acc |
+---------------------+-------+-------+
| wall | 73.84 | 85.09 |
| building | 81.43 | 91.91 |
| sky | 93.85 | 97.1 |
| floor | 79.99 | 89.26 |
| tree | 72.58 | 88.42 |
| ceiling | 81.7 | 92.8 |
| road | 78.08 | 83.15 |
| bed | 84.74 | 94.09 |
| windowpane | 55.29 | 79.56 |
| grass | 70.25 | 84.19 |
| cabinet | 55.05 | 67.18 |
| sidewalk | 56.51 | 86.92 |
| person | 78.3 | 90.8 |
| earth | 37.18 | 50.85 |
| door | 37.6 | 48.7 |
| table | 52.41 | 68.3 |
| mountain | 54.93 | 68.41 |
| plant | 48.43 | 58.4 |
| curtain | 69.31 | 79.76 |
| chair | 47.09 | 63.03 |
| car | 79.77 | 93.43 |
| water | 54.21 | 73.1 |
| painting | 60.27 | 86.01 |
| sofa | 54.53 | 69.61 |
| shelf | 38.66 | 55.64 |
| house | 41.59 | 52.89 |
| sea | 60.19 | 80.39 |
| mirror | 60.03 | 67.38 |
| rug | 50.0 | 54.74 |
| field | 37.81 | 60.87 |
| armchair | 32.37 | 67.21 |
| seat | 60.7 | 78.86 |
| fence | 36.92 | 57.98 |
| desk | 35.24 | 60.92 |
| rock | 40.9 | 70.27 |
| wardrobe | 47.09 | 67.81 |
| lamp | 49.73 | 69.23 |
| bathtub | 71.98 | 85.61 |
| railing | 26.86 | 31.22 |
| cushion | 43.04 | 54.51 |
| base | 13.47 | 19.08 |
| box | 20.21 | 31.47 |
| column | 44.28 | 62.81 |
| signboard | 32.0 | 47.25 |
| chest of drawers | 26.4 | 38.05 |
| counter | 24.91 | 33.79 |
| sand | 37.83 | 44.09 |
| sink | 56.11 | 61.57 |
| skyscraper | 59.77 | 83.36 |
| fireplace | 60.87 | 89.03 |
| refrigerator | 58.72 | 73.67 |
| grandstand | 31.21 | 81.27 |
| path | 11.46 | 14.54 |
| stairs | 22.62 | 25.27 |
| runway | 69.19 | 79.58 |
| case | 51.58 | 61.83 |
| pool table | 89.6 | 96.36 |
| pillow | 50.1 | 66.04 |
| screen door | 53.79 | 84.01 |
| stairway | 25.66 | 38.31 |
| river | 17.19 | 19.39 |
| bridge | 52.86 | 63.61 |
| bookcase | 31.28 | 58.95 |
| blind | 30.37 | 35.22 |
| coffee table | 50.67 | 80.15 |
| toilet | 75.86 | 89.74 |
| flower | 28.43 | 47.61 |
| book | 38.65 | 48.67 |
| hill | 6.23 | 9.17 |
| bench | 34.5 | 42.69 |
| countertop | 48.26 | 72.76 |
| stove | 52.7 | 68.29 |
| palm | 40.43 | 48.98 |
| kitchen island | 32.88 | 77.97 |
| computer | 53.84 | 73.44 |
| swivel chair | 32.47 | 54.64 |
| boat | 40.64 | 45.39 |
| bar | 42.49 | 50.51 |
| arcade machine | 26.75 | 38.67 |
| hovel | 18.56 | 19.62 |
| bus | 74.61 | 87.38 |
| towel | 46.62 | 56.17 |
| light | 45.06 | 53.76 |
| truck | 5.06 | 6.77 |
| tower | 32.35 | 49.34 |
| chandelier | 50.88 | 60.42 |
| awning | 18.66 | 21.1 |
| streetlight | 12.43 | 14.65 |
| booth | 37.22 | 38.29 |
| television receiver | 54.36 | 75.84 |
| airplane | 52.84 | 59.36 |
| dirt track | 9.85 | 20.8 |
| apparel | 22.07 | 38.8 |
| pole | 16.87 | 22.5 |
| land | 0.0 | 0.0 |
| bannister | 4.39 | 5.68 |
| escalator | 16.52 | 17.14 |
| ottoman | 19.83 | 21.05 |
| bottle | 8.67 | 13.98 |
| buffet | 31.7 | 39.59 |
| poster | 7.94 | 14.47 |
| stage | 10.38 | 16.67 |