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/usr/local/miniconda3/lib/python3.8/site-packages/torch/distributed/launch.py:180: FutureWarning: The module torch.distributed.launch is deprecated
and will be removed in future. Use torchrun.
Note that --use_env is set by default in torchrun.
If your script expects `--local_rank` argument to be set, please
change it to read from `os.environ['LOCAL_RANK']` instead. See
https://pytorch.org/docs/stable/distributed.html#launch-utility for
further instructions
warnings.warn(
WARNING:torch.distributed.run:
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed.
*****************************************
0%| | 0/31722 [00:00<?, ?it/s]
Traceback (most recent call last):
File "datasets/pretreatment_heatmap.py", line 709, in <module>
for _, tmp in tqdm(enumerate(dataloader), total=len(dataloader)):
File "/usr/local/miniconda3/lib/python3.8/site-packages/tqdm/std.py", line 1178, in __iter__
for obj in iterable:
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 628, in __next__
data = self._next_data()
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1333, in _next_data
return self._process_data(data)
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1359, in _process_data
0%| | 0/31722 [00:00<?, ?it/s] data.reraise()
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/_utils.py", line 543, in reraise
raise exception
ValueError: Caught ValueError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 302, in _worker_loop
data = fetcher.fetch(index)
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "datasets/pretreatment_heatmap.py", line 634, in __getitem__
pose_data = pose_data[:,2:].reshape(-1, 17, 3)
ValueError: cannot reshape array of size 4320 into shape (17,3)
0%| | 0/31722 [00:00<?, ?it/s]
Traceback (most recent call last):
File "datasets/pretreatment_heatmap.py", line 709, in <module>
for _, tmp in tqdm(enumerate(dataloader), total=len(dataloader)):
File "/usr/local/miniconda3/lib/python3.8/site-packages/tqdm/std.py", line 1178, in __iter__
for obj in iterable:
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 628, in __next__
data = self._next_data()
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1333, in _next_data
return self._process_data(data)
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1359, in _process_data
data.reraise()
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/_utils.py", line 543, in reraise
raise exception
ValueError: Caught ValueError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 302, in _worker_loop
data = fetcher.fetch(index)
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "datasets/pretreatment_heatmap.py", line 634, in __getitem__
pose_data = pose_data[:,2:].reshape(-1, 17, 3)
ValueError: cannot reshape array of size 5445 into shape (17,3)
0%| | 0/31722 [00:00<?, ?it/s]
Traceback (most recent call last):
File "datasets/pretreatment_heatmap.py", line 709, in <module>
for _, tmp in tqdm(enumerate(dataloader), total=len(dataloader)):
File "/usr/local/miniconda3/lib/python3.8/site-packages/tqdm/std.py", line 1178, in __iter__
for obj in iterable:
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 628, in __next__
data = self._next_data()
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1333, in _next_data
return self._process_data(data)
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1359, in _process_data
data.reraise()
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/_utils.py", line 543, in reraise
raise exception
ValueError: Caught ValueError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 302, in _worker_loop
data = fetcher.fetch(index)
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "datasets/pretreatment_heatmap.py", line 634, in __getitem__
pose_data = pose_data[:,2:].reshape(-1, 17, 3)
ValueError: cannot reshape array of size 2655 into shape (17,3)
0%| | 0/31722 [00:00<?, ?it/s]
Traceback (most recent call last):
File "datasets/pretreatment_heatmap.py", line 709, in <module>
for _, tmp in tqdm(enumerate(dataloader), total=len(dataloader)):
File "/usr/local/miniconda3/lib/python3.8/site-packages/tqdm/std.py", line 1178, in __iter__
for obj in iterable:
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 628, in __next__
data = self._next_data()
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1333, in _next_data
return self._process_data(data)
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1359, in _process_data
data.reraise()
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/_utils.py", line 543, in reraise
raise exception
ValueError: Caught ValueError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/worker.py", line 302, in _worker_loop
data = fetcher.fetch(index)
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/utils/data/_utils/fetch.py", line 58, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "datasets/pretreatment_heatmap.py", line 634, in __getitem__
pose_data = pose_data[:,2:].reshape(-1, 17, 3)
ValueError: cannot reshape array of size 2610 into shape (17,3)
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 82894) of binary: /usr/local/miniconda3/bin/python
Traceback (most recent call last):
File "/usr/local/miniconda3/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/local/miniconda3/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/distributed/launch.py", line 195, in <module>
main()
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/distributed/launch.py", line 191, in main
launch(args)
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/distributed/launch.py", line 176, in launch
run(args)
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/distributed/run.py", line 753, in run
elastic_launch(
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 132, in __call__
return launch_agent(self._config, self._entrypoint, list(args))
File "/usr/local/miniconda3/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 246, in launch_agent
raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
============================================================
datasets/pretreatment_heatmap.py FAILED
------------------------------------------------------------
Failures:
[1]:
time : 2025-02-28_13:19:59
host : I1fc5afc8ff00201d7c
rank : 1 (local_rank: 1)
exitcode : 1 (pid: 82895)
error_file: <N/A>
traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
[2]:
time : 2025-02-28_13:19:59
host : I1fc5afc8ff00201d7c
rank : 2 (local_rank: 2)
exitcode : 1 (pid: 82896)
error_file: <N/A>
traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
[3]:
time : 2025-02-28_13:19:59
host : I1fc5afc8ff00201d7c
rank : 3 (local_rank: 3)
exitcode : 1 (pid: 82897)
error_file: <N/A>
traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
------------------------------------------------------------
Root Cause (first observed failure):
[0]:
time : 2025-02-28_13:19:59
host : I1fc5afc8ff00201d7c
rank : 0 (local_rank: 0)
exitcode : 1 (pid: 82894)
error_file: <N/A>
traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
The text was updated successfully, but these errors were encountered:
教授(开发人员们)您好,我严格按照了https://github.com/ShiqiYu/OpenGait/tree/086f9f0129aa07c7b31df73593f07326c0ada26d/datasets/GREW 里的步骤,分别将轮廓数据和姿势数据重新排序,并分别对轮廓数据和姿势数据进行预处理成pkl文件,
python datasets/GREW/rearrange_GREW_pose.py --input_path grew --output_path GREW-pose-rearranged;python datasets/pretreatment.py --input_path GREW-pose-rearranged --output_path GREW-pose-pkl --pose --dataset GREW
之后将处理完的GREW-pose-pkl执行heatmap.py
CUDA_VISIBLE_DEVICES=0,1,2,3 python -m torch.distributed.launch --nproc_per_node=4 datasets/pretreatment_heatmap.py --pose_data_path=GREW-pose-pkl --save_root=GREW-heatmap-pkl --dataset_name=GREW
但是出现了以下报错,请问我是忽略了什么操作
The text was updated successfully, but these errors were encountered: