while training tacotron2, I got stuck with the following runtime error RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED.
This is the full error message:
Epoch: 0
Traceback (most recent call last):
File "train.py", line 307, in <module>
args.warm_start, args.n_gpus, args.rank, args.group_name, hparams)
File "train.py", line 228, in train
y_pred = model(x)
File "/home/zakipoint/miniconda3/envs/tts_train/lib/python3.7/site-packages/torch/nn/modules/module.py", line 547, in __call__
result = self.forward(*input, **kwargs)
File "/home/zakipoint/tts/tacotron2/model.py", line 505, in forward
encoder_outputs = self.encoder(embedded_inputs, text_lengths)
File "/home/zakipoint/miniconda3/envs/tts_train/lib/python3.7/site-packages/torch/nn/modules/module.py", line 547, in __call__
result = self.forward(*input, **kwargs)
File "/home/zakipoint/tts/tacotron2/model.py", line 185, in forward
outputs, _ = self.lstm(x)
File "/home/zakipoint/miniconda3/envs/tts_train/lib/python3.7/site-packages/torch/nn/modules/module.py", line 547, in __call__
result = self.forward(*input, **kwargs)
File "/home/zakipoint/miniconda3/envs/tts_train/lib/python3.7/site-packages/torch/nn/modules/rnn.py", line 562, in forward
return self.forward_packed(input, hx)
File "/home/zakipoint/miniconda3/envs/tts_train/lib/python3.7/site-packages/torch/nn/modules/rnn.py", line 554, in forward_packed
output, hidden = self.forward_impl(input, hx, batch_sizes, max_batch_size, sorted_indices)
File "/home/zakipoint/miniconda3/envs/tts_train/lib/python3.7/site-packages/torch/nn/modules/rnn.py", line 529, in forward_impl
self.num_layers, self.dropout, self.training, self.bidirectional)
RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED
I am looking for possible solutions to get rid of it. Thank you!
I am trying to fine-tune tacotron2. Currently, I am using the following cuda and torch dependencies:
while training tacotron2, I got stuck with the following runtime error
RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED
.This is the full error message:
I am looking for possible solutions to get rid of it. Thank you!