/home/france1/.local/lib/python3.9/site-packages/torch/distributed/launch.py:178: FutureWarning: The module torch.distributed.launch is deprecated
and will be removed in future. Use torch.distributed.run.
Note that --use_env is set by default in torch.distributed.run.
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.
*****************************************
Traceback (most recent call last):
Traceback (most recent call last):
File "/home/france1/arXiv2020-RIFE/train.py", line 140, in <module>
Traceback (most recent call last):
File "/home/france1/arXiv2020-RIFE/train.py", line 140, in <module>
File "/home/france1/arXiv2020-RIFE/train.py", line 140, in <module>
torch.cuda.set_device(args.local_rank)
File "/home/france1/.local/lib/python3.9/site-packages/torch/cuda/__init__.py", line 264, in set_device
torch.cuda.set_device(args.local_rank)
File "/home/france1/.local/lib/python3.9/site-packages/torch/cuda/__init__.py", line 264, in set_device
torch.cuda.set_device(args.local_rank)
File "/home/france1/.local/lib/python3.9/site-packages/torch/cuda/__init__.py", line 264, in set_device
torch._C._cuda_setDevice(device)
RuntimeErrortorch._C._cuda_setDevice(device):
CUDA error: invalid device ordinal
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
RuntimeError: CUDA error: invalid device ordinal
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
torch._C._cuda_setDevice(device)
RuntimeError: CUDA error: invalid device ordinal
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 1 (pid: 651166) of binary: /usr/bin/python3
Traceback (most recent call last):
File "/usr/lib/python3.9/runpy.py", line 197, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.9/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/home/france1/.local/lib/python3.9/site-packages/torch/distributed/launch.py", line 193, in <module>
main()
File "/home/france1/.local/lib/python3.9/site-packages/torch/distributed/launch.py", line 189, in main
launch(args)
File "/home/france1/.local/lib/python3.9/site-packages/torch/distributed/launch.py", line 174, in launch
run(args)
File "/home/france1/.local/lib/python3.9/site-packages/torch/distributed/run.py", line 689, in run
elastic_launch(
File "/home/france1/.local/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 116, in __call__
return launch_agent(self._config, self._entrypoint, list(args))
File "/home/france1/.local/lib/python3.9/site-packages/torch/distributed/launcher/api.py", line 244, in launch_agent
raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
***************************************
train.py FAILED
=======================================
Root Cause:
[0]:
time: 2021-09-30_17:35:27
rank: 1 (local_rank: 1)
exitcode: 1 (pid: 651166)
error_file: <N/A>
msg: "Process failed with exitcode 1"
=======================================
Other Failures:
[1]:
time: 2021-09-30_17:35:27
rank: 2 (local_rank: 2)
exitcode: 1 (pid: 651167)
error_file: <N/A>
msg: "Process failed with exitcode 1"
[2]:
time: 2021-09-30_17:35:27
rank: 3 (local_rank: 3)
exitcode: 1 (pid: 651168)
error_file: <N/A>
msg: "Process failed with exitcode 1"
***************************************
@debian-user-france1 You may try 1.7.1. I hope it will work. pip3 install torch==1.7.1