RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: [torch.cuda.FloatTensor [16000, 16]], which is output 0 of ReluBackward0, is at version 1; expected version 0 instead

[unknowone]

Hi, thanks for sharing such a good project~
I have some problems when I tried to train with
bash tools/scripts/dist_train.sh 2 --cfg_file /public/chenrunze/xyy/VFF-main/tools/cfgs/kitti_models/VFF_PVRCNN.yaml
Here is the error:

Traceback (most recent call last):
  File "tools/train.py", line 205, in <module>
    main()
  File "tools/train.py", line 160, in main
    train_model(
  File "/public/chenrunze/xyy/VFF-main/tools/train_utils/train_utils.py", line 88, in train_model
    accumulated_iter = train_one_epoch(
  File "/public/chenrunze/xyy/VFF-main/tools/train_utils/train_utils.py", line 41, in train_one_epoch
    loss.backward()
  File "/public/chenrunze/miniconda3/envs/bevfusion/lib/python3.8/site-packages/torch/_tensor.py", line 307, in backward
    torch.autograd.backward(self, gradient, retain_graph, create_graph, inputs=inputs)
  File "/public/chenrunze/miniconda3/envs/bevfusion/lib/python3.8/site-packages/torch/autograd/__init__.py", line 154, in backward
    Variable._execution_engine.run_backward(
RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation: 
[torch.cuda.FloatTensor [16000, 16]], which is output 0 of ReluBackward0, is at version 1; expected version 0 instead. Hint: the 
backtrace further above shows the operation that failed to compute its gradient. The variable in question was changed in there or 
anywhere later. Good luck!
                                                                                                                                
WARNING:torch.distributed.elastic.multiprocessing.api:Sending process 100876 closing signal SIGTERM                               
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 1 (pid: 100877) of binary: /public/chenrunze/miniconda3/envs/bevfusion/bin/python3
Traceback (most recent call last):
  File "/public/chenrunze/miniconda3/envs/bevfusion/lib/python3.8/runpy.py", line 194, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/public/chenrunze/miniconda3/envs/bevfusion/lib/python3.8/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "/public/chenrunze/miniconda3/envs/bevfusion/lib/python3.8/site-packages/torch/distributed/launch.py", line 193, in <module>
    main()
  File "/public/chenrunze/miniconda3/envs/bevfusion/lib/python3.8/site-packages/torch/distributed/launch.py", line 189, in main
    launch(args)
  File "/public/chenrunze/miniconda3/envs/bevfusion/lib/python3.8/site-packages/torch/distributed/launch.py", line 174, in launch
    run(args)
  File "/public/chenrunze/miniconda3/envs/bevfusion/lib/python3.8/site-packages/torch/distributed/run.py", line 710, in run
    elastic_launch(
  File "/public/chenrunze/miniconda3/envs/bevfusion/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 131, in __call__
    return launch_agent(self._config, self._entrypoint, list(args))
  File "/public/chenrunze/miniconda3/envs/bevfusion/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 259, in launch_agent
    raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
============================================================
tools/train.py FAILED
------------------------------------------------------------
Failures:
  <NO_OTHER_FAILURES>
------------------------------------------------------------
Root Cause (first observed failure):
[0]:
  time      : 2023-02-12_16:28:26
  host      : 8265f0d3bcdf
  rank      : 1 (local_rank: 1)
  exitcode  : 1 (pid: 100877)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html

can u give some advice?
lots of thanks!

[0neDawn]

I have also encountered this problem. Have you solved it?

[liulin813]

I have also encountered this problem. Have you solved it?

I replace RELU by using leakyrelu to solve this problem but this maybe influence the performance of the model, if you have better solution plz tell me ,thanks!