Hello everyone!
I wrote the code that worked perfectly 1-2 weeks ago, but now it shows ‘CUDNN_STATUS_INTERNAL_ERROR’.
Traceback (most recent call last):
  File "main.py", line 145, in <module>
    train(epoch)
  File "main.py", line 92, in train
    output = denormalize( model(normalize(input, mean, std)), mean, std)
  File "/mnt/home/...../.conda/envs/opt_anaconda/lib/python2.7/site-packages/torch/nn/modules/module.py", line 357, in __call__
    result = self.forward(*input, **kwargs)
  File "/mnt/home/..../..../model.py", line 263, in forward
    e = self.encoder(x)
  File "/mnt/home/....../......../model.py", line 228, in encoder
    x = self.en_conv1(x)
  File "/mnt/home/....../.conda/envs/opt_anaconda/lib/python2.7/site-packages/torch/nn/modules/module.py", line 357, in __call__
    result = self.forward(*input, **kwargs)
  File "/mnt/home/......./.conda/envs/opt_anaconda/lib/python2.7/site-packages/torch/nn/modules/conv.py", line 282, in forward
    self.padding, self.dilation, self.groups)
  File "/mnt/home/......./.conda/envs/opt_anaconda/lib/python2.7/site-packages/torch/nn/functional.py", line 90, in conv2d
    return f(input, weight, bias)
RuntimeError: CUDNN_STATUS_INTERNAL_ERROR


Can you help me with this problem?