Traceback (most recent call last):
File "train.py", line 239, in
args.warm_start, args.amp, args.name, hp)
File "train.py", line 161, in train
y_pred = model(x)
File "/home/deepsyncv100-1/.local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
File "/mnt/Karan/PPSpeech/model.py", line 66, in forward
encoder_outputs = self.encoder(embedded_inputs, input_lengths)
File "/home/deepsyncv100-1/.local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
File "/mnt/Karan/PPSpeech/core/modules.py", line 183, in forward
outputs, _ = self.lstm(x)
File "/home/deepsyncv100-1/.local/lib/python3.6/site-packages/torch/nn/modules/module.py", line 722, in _call_impl
result = self.forward(*input, **kwargs)
File "/home/deepsyncv100-1/.local/lib/python3.6/site-packages/torch/nn/modules/rnn.py", line 580, in forward
self.num_layers, self.dropout, self.training, self.bidirectional)
RuntimeError: cuDNN error: CUDNN_STATUS_BAD_PARAM
Fix is possible on next Pytorch release : https://github.com/pytorch/pytorch/issues/36428