ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 1428) of binary: /opt/conda/bin/python

[zcqacqwc]

I’m experiencing an issue. I’ve set up the environment and configured the dataset correctly, but when I run the code, this error appears. How can I resolve it

root@2700da6f9136:/style/Co-DETR# bash tools/dist_train.sh
/opt/conda/lib/python3.8/site-packages/torch/distributed/launch.py:178: 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.
*****************************************
Traceback (most recent call last):
  File "tools/train.py", line 26, in <module>
    from projects import *
  File "/style/Co-DETR/projects/__init__.py", line 1, in <module>
    from .models import *
  File "/style/Co-DETR/projects/models/__init__.py", line 1, in <module>
    from .co_detr import *
  File "/style/Co-DETR/projects/models/co_detr.py", line 10, in <module>
    from mmdet.models.losses.cross_entropy_loss import generate_block_target
ImportError: cannot import name 'generate_block_target' from 'mmdet.models.losses.cross_entropy_loss' (/opt/conda/lib/python3.8/site-packages/mmdet/models/losses/cross_entropy_loss.py)
Traceback (most recent call last):
  File "tools/train.py", line 26, in <module>
    from projects import *
  File "/style/Co-DETR/projects/__init__.py", line 1, in <module>
    from .models import *
  File "/style/Co-DETR/projects/models/__init__.py", line 1, in <module>
    from .co_detr import *
  File "/style/Co-DETR/projects/models/co_detr.py", line 10, in <module>
    from mmdet.models.losses.cross_entropy_loss import generate_block_target
ImportError: cannot import name 'generate_block_target' from 'mmdet.models.losses.cross_entropy_loss' (/opt/conda/lib/python3.8/site-packages/mmdet/models/losses/cross_entropy_loss.py)
Traceback (most recent call last):
  File "tools/train.py", line 26, in <module>
    from projects import *
  File "/style/Co-DETR/projects/__init__.py", line 1, in <module>
    from .models import *
  File "/style/Co-DETR/projects/models/__init__.py", line 1, in <module>
    from .co_detr import *
  File "/style/Co-DETR/projects/models/co_detr.py", line 10, in <module>
    from mmdet.models.losses.cross_entropy_loss import generate_block_target
ImportError: cannot import name 'generate_block_target' from 'mmdet.models.losses.cross_entropy_loss' (/opt/conda/lib/python3.8/site-packages/mmdet/models/losses/cross_entropy_loss.py)
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 1428) of binary: /opt/conda/bin/python
Traceback (most recent call last):
  File "/opt/conda/lib/python3.8/runpy.py", line 194, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/opt/conda/lib/python3.8/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "/opt/conda/lib/python3.8/site-packages/torch/distributed/launch.py", line 193, in <module>
    main()
  File "/opt/conda/lib/python3.8/site-packages/torch/distributed/launch.py", line 189, in main
    launch(args)
  File "/opt/conda/lib/python3.8/site-packages/torch/distributed/launch.py", line 174, in launch
    run(args)
  File "/opt/conda/lib/python3.8/site-packages/torch/distributed/run.py", line 715, in run
    elastic_launch(
  File "/opt/conda/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 131, in __call__
    return launch_agent(self._config, self._entrypoint, list(args))
  File "/opt/conda/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 245, in launch_agent
    raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
============================================================
tools/train.py FAILED
------------------------------------------------------------
Failures:
[1]:
  time      : 2024-10-25_12:00:25
  host      : 2700da6f9136
  rank      : 1 (local_rank: 1)
  exitcode  : 1 (pid: 1429)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
[2]:
  time      : 2024-10-25_12:00:25
  host      : 2700da6f9136
  rank      : 2 (local_rank: 2)
  exitcode  : 1 (pid: 1430)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
------------------------------------------------------------
Root Cause (first observed failure):
[0]:
  time      : 2024-10-25_12:00:25
  host      : 2700da6f9136
  rank      : 0 (local_rank: 0)
  exitcode  : 1 (pid: 1428)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
============================================================

please help me

[TempleX98]

Please check the file mmdet/models/losses/cross_entropy_loss.py in your environment's mmdetection package. Is this file the same as the implementation of this repo?

[zcqacqwc]

Yes, that's correct. The file mmdet/models/losses/cross_entropy_loss.py exists. However, I am encountering the following error:

ImportError: cannot import name 'generate_block_target' from 'mmdet.models.losses.cross_entropy_loss' (/opt/conda/lib/python3.8/site-packages/mmdet/models/losses/cross_entropy_loss.py).

How can I resolve this issue?

[xinyuestudent]

Yes, that's correct. The file mmdet/models/losses/cross_entropy_loss.py exists. However, I am encountering the following error:

ImportError: cannot import name 'generate_block_target' from 'mmdet.models.losses.cross_entropy_loss' (/opt/conda/lib/python3.8/site-packages/mmdet/models/losses/cross_entropy_loss.py).

How can I resolve this issue?

I'm running into the same error—any idea how to fix it?