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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
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!
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!
