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When I run train_transformer.py after finished the first 3 steps you instructed in README, I got a RuntimeError:
(transformer-tts) xxx@zjlab:~/TTS/Transformer-TTS$ python train_postnet.py
Processing at epoch 0: 0%| | 0/409 [00:10<?, ?it/s]
Traceback (most recent call last):
File "train_postnet.py", line 69, in <module>
main()
File "train_postnet.py", line 41, in main
mag_pred = m.forward(mel)
File "/home/xxx/anaconda3/envs/transformer-tts/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 114, in forward
outputs = self.parallel_apply(replicas, inputs, kwargs)
File "/home/xxx/anaconda3/envs/transformer-tts/lib/python3.6/site-packages/torch/nn/parallel/data_parallel.py", line 124, in parallel_apply
return parallel_apply(replicas, inputs, kwargs, self.device_ids[:len(replicas)])
File "/home/xxx/anaconda3/envs/transformer-tts/lib/python3.6/site-packages/torch/nn/parallel/parallel_apply.py", line 65, in parallel_apply
raise output
File "/home/xxx/anaconda3/envs/transformer-tts/lib/python3.6/site-packages/torch/nn/parallel/parallel_apply.py", line 41, in _worker
output = module(*input, **kwargs)
File "/home/xxx/anaconda3/envs/transformer-tts/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in __call__
result = self.forward(*input, **kwargs)
File "/home/xxx/TTS/Transformer-TTS/network.py", line 170, in forward
mel = self.cbhg(mel).transpose(1, 2)
File "/home/xxx/anaconda3/envs/transformer-tts/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in __call__
result = self.forward(*input, **kwargs)
File "/home/xxx/TTS/Transformer-TTS/module.py", line 419, in forward
out, _ = self.gru(highway)
File "/home/xxx/anaconda3/envs/transformer-tts/lib/python3.6/site-packages/torch/nn/modules/module.py", line 491, in __call__
result = self.forward(*input, **kwargs)
File "/home/xxx/anaconda3/envs/transformer-tts/lib/python3.6/site-packages/torch/nn/modules/rnn.py", line 192, in forward
output, hidden = func(input, self.all_weights, hx, batch_sizes)
File "/home/xxx/anaconda3/envs/transformer-tts/lib/python3.6/site-packages/torch/nn/_functions/rnn.py", line 323, in forward
return func(input, *fargs, **fkwargs)
File "/home/xxx/anaconda3/envs/transformer-tts/lib/python3.6/site-packages/torch/nn/_functions/rnn.py", line 287, in forward
dropout_ts)
RuntimeError: torch/csrc/autograd/variable.cpp:115: get_grad_fn: Assertion `output_nr == 0` failed.
No matter whether I use single GPU or multi GPU, whether I use DataParallel or DistributedDataParallel, this error still exists.
Do you have any idea about the solution? Thank you very much.
The text was updated successfully, but these errors were encountered:
Dear Soobinseo:
Thank you for your wonderful work.
When I run train_transformer.py after finished the first 3 steps you instructed in README, I got a RuntimeError:
No matter whether I use single GPU or multi GPU, whether I use DataParallel or DistributedDataParallel, this error still exists.
Do you have any idea about the solution? Thank you very much.
The text was updated successfully, but these errors were encountered: