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RecursionError: maximum recursion depth exceeded while calling a Python object

See original GitHub issue

when train on 18epoch, it would report error:

Traceback (most recent call last):
  File "train.py", line 396, in <module>
    train_model(args)
  File "train.py", line 213, in train_model
    lossTr, lr = train(args, trainLoader, model, criteria, optimizer, epoch)
  File "train.py", line 328, in train
    optimizer.step()
  File "/home/lgq/anaconda3/envs/open-mmlab/lib/python3.7/site-packages/torch/optim/lr_scheduler.py", line 36, in wrapper
    return func(*args, **kwargs)
  File "/home/lgq/anaconda3/envs/open-mmlab/lib/python3.7/site-packages/torch/optim/lr_scheduler.py", line 36, in wrapper
    return func(*args, **kwargs)
  File "/home/lgq/anaconda3/envs/open-mmlab/lib/python3.7/site-packages/torch/optim/lr_scheduler.py", line 36, in wrapper
    return func(*args, **kwargs)
  [Previous line repeated 991 more times]
  File "/home/lgq/anaconda3/envs/open-mmlab/lib/python3.7/site-packages/torch/optim/adam.py", line 69, in step
    state = self.state[p]
  File "/home/lgq/anaconda3/envs/open-mmlab/lib/python3.7/site-packages/torch/tensor.py", line 393, in __hash__
    return id(self)
RecursionError: maximum recursion depth exceeded while calling a Python object

I found that you put WarmupPolyLR in every iters, it would make every iter call WarmupPolyLR, maybe it cause the error.

Issue Analytics

State:
Created 4 years ago
Comments:5 (3 by maintainers)

Top GitHub Comments

1reaction

xiaoyufenfeicommented, May 10, 2020

Maybe this way can help you. https://github.com/xiaoyufenfei/Efficient-Segmentation-Networks/blob/0f0c32e7af3463d381cb184a158ff60e16f7fb9a/train.py#L25

0reactions

dronefreakcommented, Apr 18, 2020

Hi @lgqfhwy Were you able to resolve this issue because I am facing it as of now. Please let me know your workaround. I did try increasing the max recursion depth by using the sys library in python, but it still gets stuck at th 9th epoch for me.

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