RuntimeError: Default process group has not been initialized, please make sure to call init_process_group.

[wys0907]

我有一台服务器，服务器中有四张显卡，但是我只能使用一张，命令行是 CUDA_VISIBLE_DEVICE=0 python main.py configs/mask_rcnn_greedyvig_s_fpn_1x_coco.py --greedyvig_model greedyvig_s --work-dir output --auto-resume --gpu-id 0 --seed 42 --deterministic --cfg-options batch_size=8 --launcher none --auto-scale-lr
运行后的输出太长，在这截取一部分
loading annotations into memory...
Done (t=0.13s)
creating index...
index created!
2024-12-09 15:37:43,419 - mmdet - INFO - Start running, host: wangyusheng@mvr-System-Product-Name, work_dir: /home/wangyusheng/projects/pycharm/GreedyViG/detection/output
2024-12-09 15:37:43,419 - mmdet - INFO - Hooks will be executed in the following order:
before_run:
(VERY_HIGH ) StepLrUpdaterHook
(NORMAL ) CheckpointHook
(NORMAL ) EvalHook
(VERY_LOW ) TextLoggerHook

before_train_epoch:
(VERY_HIGH ) StepLrUpdaterHook
(NORMAL ) EvalHook
(NORMAL ) NumClassCheckHook
(LOW ) IterTimerHook
(VERY_LOW ) TextLoggerHook

before_train_iter:
(VERY_HIGH ) StepLrUpdaterHook
(NORMAL ) EvalHook
(LOW ) IterTimerHook

after_train_iter:
(ABOVE_NORMAL) OptimizerHook
(NORMAL ) CheckpointHook
(NORMAL ) EvalHook
(LOW ) IterTimerHook
(VERY_LOW ) TextLoggerHook

after_train_epoch:
(NORMAL ) CheckpointHook
(NORMAL ) EvalHook
(VERY_LOW ) TextLoggerHook

before_val_epoch:
(NORMAL ) NumClassCheckHook
(LOW ) IterTimerHook
(VERY_LOW ) TextLoggerHook

before_val_iter:
(LOW ) IterTimerHook

after_val_iter:
(LOW ) IterTimerHook

after_val_epoch:
(VERY_LOW ) TextLoggerHook

after_run:
(VERY_LOW ) TextLoggerHook

2024-12-09 15:37:43,419 - mmdet - INFO - workflow: [('train', 1)], max: 12 epochs
2024-12-09 15:37:43,420 - mmdet - INFO - Checkpoints will be saved to /home/wangyusheng/projects/pycharm/GreedyViG/detection/output by HardDiskBackend.
Traceback (most recent call last):
File "main.py", line 311, in
main()
File "main.py", line 300, in main
train_detector(
File "/home/wangyusheng/projects/pycharm/GreedyViG/detection/mmdet_custom/apis/train.py", line 184, in train_detector
runner.run(data_loaders, cfg.workflow)
File "/home/wangyusheng/.conda/envs/pytorch112/lib/python3.8/site-packages/mmcv/runner/epoch_based_runner.py", line 136, in run
epoch_runner(data_loaders[i], **kwargs)
File "/home/wangyusheng/.conda/envs/pytorch112/lib/python3.8/site-packages/mmcv/runner/epoch_based_runner.py", line 53, in train
self.run_iter(data_batch, train_mode=True, **kwargs)
File "/home/wangyusheng/.conda/envs/pytorch112/lib/python3.8/site-packages/mmcv/runner/epoch_based_runner.py", line 31, in run_iter
outputs = self.model.train_step(data_batch, self.optimizer,
File "/home/wangyusheng/.conda/envs/pytorch112/lib/python3.8/site-packages/mmcv/parallel/data_parallel.py", line 77, in train_step
return self.module.train_step(*inputs[0], **kwargs[0])
File "/home/wangyusheng/.conda/envs/pytorch112/lib/python3.8/site-packages/mmdet/models/detectors/base.py", line 248, in train_step
losses = self(**data)
File "/home/wangyusheng/.conda/envs/pytorch112/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/wangyusheng/.conda/envs/pytorch112/lib/python3.8/site-packages/mmcv/runner/fp16_utils.py", line 119, in new_func
return old_func(*args, **kwargs)
File "/home/wangyusheng/.conda/envs/pytorch112/lib/python3.8/site-packages/mmdet/models/detectors/base.py", line 172, in forward
return self.forward_train(img, img_metas, **kwargs)
File "/home/wangyusheng/.conda/envs/pytorch112/lib/python3.8/site-packages/mmdet/models/detectors/two_stage.py", line 127, in forward_train
x = self.extract_feat(img)
File "/home/wangyusheng/.conda/envs/pytorch112/lib/python3.8/site-packages/mmdet/models/detectors/two_stage.py", line 67, in extract_feat
x = self.backbone(img)
File "/home/wangyusheng/.conda/envs/pytorch112/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/wangyusheng/projects/pycharm/GreedyViG/detection/greedyvig_backbone.py", line 322, in forward
x = self.stem(inputs)
File "/home/wangyusheng/.conda/envs/pytorch112/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/wangyusheng/projects/pycharm/GreedyViG/detection/greedyvig_backbone.py", line 51, in forward
return self.stem(x)
File "/home/wangyusheng/.conda/envs/pytorch112/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/wangyusheng/.conda/envs/pytorch112/lib/python3.8/site-packages/torch/nn/modules/container.py", line 139, in forward
input = module(input)
File "/home/wangyusheng/.conda/envs/pytorch112/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/home/wangyusheng/.conda/envs/pytorch112/lib/python3.8/site-packages/torch/nn/modules/batchnorm.py", line 731, in forward
world_size = torch.distributed.get_world_size(process_group)
File "/home/wangyusheng/.conda/envs/pytorch112/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 867, in get_world_size
return _get_group_size(group)
File "/home/wangyusheng/.conda/envs/pytorch112/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 325, in _get_group_size
default_pg = _get_default_group()
File "/home/wangyusheng/.conda/envs/pytorch112/lib/python3.8/site-packages/torch/distributed/distributed_c10d.py", line 429, in _get_default_group
raise RuntimeError(
RuntimeError: Default process group has not been initialized, please make sure to call init_process_group.

[wys0907]

sorry My hyperparameters were set incorrectly, but I have fixed it now. I added the --launcher pytorch at the end.I finish it