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I encountered this issue after modified the S3DIS training code to multi GPU:
File "/home/zfeng/.conda/envs/mink/lib/python3.7/site-packages/torch/nn/modules/module.py", line 532, in call
result = self.forward(*input, **kwargs)
File "/home/zfeng/.conda/envs/mink/lib/python3.7/site-packages/torch/nn/modules/batchnorm.py", line 107, in forward
exponential_average_factor, self.eps)
File "/home/zfeng/.conda/envs/mink/lib/python3.7/site-packages/torch/nn/functional.py", line 1670, in batch_norm
training, momentum, eps, torch.backends.cudnn.enabled
RuntimeError: cuDNN error: CUDNN_STATUS_NOT_SUPPORTED. This error may appear if you passed in a non-contiguous input.
Could you please tell me what's wrong with it?
The text was updated successfully, but these errors were encountered:
I encountered this issue after modified the S3DIS training code to multi GPU:
File "/home/zfeng/.conda/envs/mink/lib/python3.7/site-packages/torch/nn/modules/module.py", line 532, in call
result = self.forward(*input, **kwargs)
File "/home/zfeng/.conda/envs/mink/lib/python3.7/site-packages/torch/nn/modules/batchnorm.py", line 107, in forward
exponential_average_factor, self.eps)
File "/home/zfeng/.conda/envs/mink/lib/python3.7/site-packages/torch/nn/functional.py", line 1670, in batch_norm
training, momentum, eps, torch.backends.cudnn.enabled
RuntimeError: cuDNN error: CUDNN_STATUS_NOT_SUPPORTED. This error may appear if you passed in a non-contiguous input.
Could you please tell me what's wrong with it?
The text was updated successfully, but these errors were encountered: