Error running MLC command for pointpainting #2302
Description
Run Command
mlcr run-mlperf,inference,_full,_r5.1-dev --model=pointpainting --implementation=reference --framework=pytorch --category=edge --scenario=Offline --execution_mode=test --device=cuda --quiet --target_qps=1
Output
'/home/mlcuser/venv/mlc/bin/python3' main.py --dataset waymo --dataset-path '/home/mlcuser/MLC/repos/local/cache/download-file_waymo-dataset_98fe56b0/kitti_format' --lidar-path '/home/mlcuser/MLC/repos/local/cache/get-ml-model-pointpillars_c95e38ec/model/pp_ep36.pth' --segmentor-path '/home/mlcuser/MLC/repos/local/cache/get-ml-model-pointpillars_c95e38ec/model/best_deeplabv3plus_resnet50_waymo_os16.pth' --scenario Offline --output '/home/mlcuser/MLC/repos/local/cache/get-mlperf-inference-results-dir_d5af2b93/test_results/596a81fc0ea1-reference-gpu-pytorch-v2.2.2-cu126/pointpainting/offline/performance/run_1' --dtype fp32 --user_conf '/home/mlcuser/MLC/repos/gateoverflow@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/444063511b854bfb9242ed5663d1a96f.conf' --count 10 2>&1 | tee '/home/mlcuser/MLC/repos/local/cache/get-mlperf-inference-results-dir_d5af2b93/test_results/596a81fc0ea1-reference-gpu-pytorch-v2.2.2-cu126/pointpainting/offline/performance/run_1/console.out'; echo ${PIPESTATUS[0]} > exitstatus
INFO:main:Namespace(dataset='waymo', dataset_path='/home/mlcuser/MLC/repos/local/cache/download-file_waymo-dataset_98fe56b0/kitti_format', profile=None, scenario='Offline', max_batchsize=1, threads=1, accuracy=False, find_peak_performance=False, backend='pytorch', model_name='pointpainting', output='/home/mlcuser/MLC/repos/local/cache/get-mlperf-inference-results-dir_d5af2b93/test_results/596a81fc0ea1-reference-gpu-pytorch-v2.2.2-cu126/pointpainting/offline/performance/run_1', qps=None, lidar_path='/home/mlcuser/MLC/repos/local/cache/get-ml-model-pointpillars_c95e38ec/model/pp_ep36.pth', segmentor_path='/home/mlcuser/MLC/repos/local/cache/get-ml-model-pointpillars_c95e38ec/model/best_deeplabv3plus_resnet50_waymo_os16.pth', dtype='fp32', device='cuda', user_conf='/home/mlcuser/MLC/repos/gateoverflow@mlperf-automations/script/generate-mlperf-inference-user-conf/tmp/444063511b854bfb9242ed5663d1a96f.conf', audit_conf='audit.config', time=None, count=10, debug=False, performance_sample_count=1024, max_latency=None, samples_per_query=8)
Downloading: "https://download.pytorch.org/models/resnet50-19c8e357.pth" to /home/mlcuser/.cache/torch/hub/checkpoints/resnet50-19c8e357.pth
Using Segmentation Network -- deeplabv3plus
100%|██████████| 97.8M/97.8M [00:01<00:00, 93.9MB/s]
Traceback (most recent call last):
File "/home/mlcuser/MLC/repos/local/cache/get-git-repo_inference-src_168234dc/inference/automotive/3d-object-detection/main.py", line 464, in <module>
main()
File "/home/mlcuser/MLC/repos/local/cache/get-git-repo_inference-src_168234dc/inference/automotive/3d-object-detection/main.py", line 374, in main
input = ds.get_samples([0])
File "/home/mlcuser/MLC/repos/local/cache/get-git-repo_inference-src_168234dc/inference/automotive/3d-object-detection/waymo.py", line 113, in get_samples
item = self.get_item(id)
File "/home/mlcuser/MLC/repos/local/cache/get-git-repo_inference-src_168234dc/inference/automotive/3d-object-detection/waymo.py", line 133, in get_item
pts = read_points(pts_path, 6)
File "/home/mlcuser/MLC/repos/local/cache/get-git-repo_inference-src_168234dc/inference/automotive/3d-object-detection/waymo.py", line 56, in read_points
return np.fromfile(file_path, dtype=np.float32).reshape(-1, dim)
FileNotFoundError: [Errno 2] No such file or directory: '/home/mlcuser/MLC/repos/local/cache/download-file_waymo-dataset_98fe56b0/kitti_format/training/velodyne/1000000.bin'
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