Comments (7)
你好,感觉不是很正常。我用4卡V100,BATCH_SIZE_PER_GPU=4. 训练大概2天多点。我猜测可能训练速度瓶颈在dataloader的数据读取上。
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你好,感谢你的回复。
请问这个时间是实际跑完需要2天,还是程序给出的预估时间。 我代码还没有训练完,只是看到程序给出的时间是200个小时。
而且,我用双卡3090跟单卡3090的预估时间差别不大。
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你好,我预估时间和实际时间基本差不多。
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您好,我自己用完整的nuScenes数据集训练,显卡是两张3090, BATCH_SIZE_PER_GPU=8,用的是‘cbgs_voxel0075_voxelnext.yaml’配置文件。训练时间稳定的话大概是200个小时,这是正常的吗。
你好,这个自己训练的话效果跟原论文比的话怎么样。然后这个模型跟centerpoint比的话要好很多嘛
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您好,我自己用完整的nuScenes数据集训练,显卡是两张3090, BATCH_SIZE_PER_GPU=8,用的是‘cbgs_voxel0075_voxelnext.yaml’配置文件。训练时间稳定的话大概是200个小时,这是正常的吗。
你好,这个自己训练的话效果跟原论文比的话怎么样。然后这个模型跟centerpoint比的话要好很多嘛
我的机器跑的很慢,20个epoch还没跑完。但是我测试了第10个epoch,mAP已经到了59.32了。CenterPoint我没跑过,但是论文里面写的是CenterPoint的mAP为 58.6.
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您好,我自己用完整的nuScenes数据集训练,显卡是两张3090, BATCH_SIZE_PER_GPU=8,用的是‘cbgs_voxel0075_voxelnext.yaml’配置文件。训练时间稳定的话大概是200个小时,这是正常的吗。
你好,这个自己训练的话效果跟原论文比的话怎么样。然后这个模型跟centerpoint比的话要好很多嘛
我的机器跑的很慢,20个epoch还没跑完。但是我测试了第10个epoch,mAP已经到了59.32了。CenterPoint我没跑过,但是论文里面写的是CenterPoint的mAP为 58.6.
好的,感谢
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@learnuser1 @yukang2017 @dabi4256 @yanwei-li 大家好
我跑多卡训练,会报这个错误。
Traceback (most recent call last):
File "train.py", line 246, in <module>
Traceback (most recent call last):
File "train.py", line 246, in <module>
main()
File "train.py", line 179, in main
main()
File "train.py", line 179, in main
model = nn.parallel.DistributedDataParallel(model, device_ids=[cfg.LOCAL_RANK % torch.cuda.device_count()])
File "/opt/conda/envs/VoxelNet/lib/python3.8/site-packages/torch/nn/parallel/distributed.py", line 674, in __init__
model = nn.parallel.DistributedDataParallel(model, device_ids=[cfg.LOCAL_RANK % torch.cuda.device_count()])
File "/opt/conda/envs/VoxelNet/lib/python3.8/site-packages/torch/nn/parallel/distributed.py", line 674, in __init__
_verify_param_shape_across_processes(self.process_group, parameters)
File "/opt/conda/envs/VoxelNet/lib/python3.8/site-packages/torch/distributed/utils.py", line 118, in _verify_param_shape_across_processes
_verify_param_shape_across_processes(self.process_group, parameters)
File "/opt/conda/envs/VoxelNet/lib/python3.8/site-packages/torch/distributed/utils.py", line 118, in _verify_param_shape_across_processes
return dist._verify_params_across_processes(process_group, tensors, logger)
torch.distributed.DistBackendError: return dist._verify_params_across_processes(process_group, tensors, logger)NCCL error in: ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1275, internal error, NCCL version 2.14.3
ncclInternalError: Internal check failed.
Last error:
Duplicate GPU detected : rank 1 and rank 0 both on CUDA device 8a000
torch.distributed.DistBackendError: NCCL error in: ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1275, internal error, NCCL version 2.14.3
ncclInternalError: Internal check failed.
Last error:
Duplicate GPU detected : rank 0 and rank 1 both on CUDA device 8a000
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 1132223) of binary: /opt/conda/envs/VoxelNet/bin/python
Traceback (most recent call last):
File "/opt/conda/envs/VoxelNet/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/opt/conda/envs/VoxelNet/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/opt/conda/envs/VoxelNet/lib/python3.8/site-packages/torch/distributed/launch.py", line 196, in <module>
main()
File "/opt/conda/envs/VoxelNet/lib/python3.8/site-packages/torch/distributed/launch.py", line 192, in main
launch(args)
File "/opt/conda/envs/VoxelNet/lib/python3.8/site-packages/torch/distributed/launch.py", line 177, in launch
run(args)
File "/opt/conda/envs/VoxelNet/lib/python3.8/site-packages/torch/distributed/run.py", line 785, in run
elastic_launch(
File "/opt/conda/envs/VoxelNet/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 134, in __call__
return launch_agent(self._config, self._entrypoint, list(args))
File "/opt/conda/envs/VoxelNet/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 250, in launch_agent
raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
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Related Issues (20)
- VoxelNeXT-2D HOT 1
- tracking HOT 3
- How to get the flops ?
- No module named 'pcdet.version' HOT 3
- IoU related loss HOT 1
- [Question] How to run a single inference on this model? HOT 2
- Question about the settings of training
- How to use the NuScenes dataset? Please!!! HOT 2
- Can you send me the nuscene and waymo test set model?
- Question about test results
- Can't reproduce the results on waymo
- FPS
- Question about NuScenes val set
- KeyError 'model_state' while loading checkpoint HOT 1
- Could not launch VoxelNeXt due to VoxelGenerator
- Details about the code HOT 1
- The result on nuscenes test set is not good
- 3D object detection from UAV based LiDAR point clouds
- Argoverse2 trainval infos
- About the deployment
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