DataLoader initialization
| > Use phonemes: True
| > phoneme language: en-us
| > Number of instances : 12969
| > Max length sequence: 187
| > Min length sequence: 5
| > Avg length sequence: 98.3403500655409
| > Num. instances discarded by max-min (max=153, min=6) seq limits: 476
| > Batch group size: 16.
EPOCH: 0/1000
Number of output frames: 7
TRAINING (2021-02-17 17:09:17)
2021-02-17 17:09:18.517650: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cudart64_101.dll
Using CUDA: True
Number of GPUs: 1
2021-02-17 17:09:21.598745: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cudart64_101.dll
Using CUDA: True
Number of GPUs: 1
2021-02-17 17:09:24.553649: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cudart64_101.dll
Using CUDA: True
Number of GPUs: 1
2021-02-17 17:09:27.454550: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cudart64_101.dll
Using CUDA: True
Number of GPUs: 1
! Run is removed from Models/LJSpeech/ljspeech-ddc-February-17-2021_05+09PM-e9e0784
Traceback (most recent call last):
File "TTS/bin/train_tacotron.py", line 721, in
main(args)
File "TTS/bin/train_tacotron.py", line 619, in main
train_avg_loss_dict, global_step = train(train_loader, model,
File "TTS/bin/train_tacotron.py", line 165, in train
decoder_output, postnet_output, alignments, stop_tokens, decoder_backward_output, alignments_backward = model(
File "C:\Users\Voice-trainner\anaconda3\envs\TF2\lib\site-packages\torch\nn\modules\module.py", line 722, in _call_impl
result = self.forward(*input, kwargs)
File "c:\users\voice-trainner\proyecto\tts\TTS\tts\models\tacotron2.py", line 148, in forward
encoder_outputs = self.encoder(embedded_inputs, text_lengths)
File "C:\Users\Voice-trainner\anaconda3\envs\TF2\lib\site-packages\torch\nn\modules\module.py", line 722, in _callimpl
result = self.forward(*input, **kwargs)
File "c:\users\voice-trainner\proyecto\tts\TTS\tts\layers\tacotron2.py", line 109, in forward
o, = self.lstm(o)
File "C:\Users\Voice-trainner\anaconda3\envs\TF2\lib\site-packages\torch\nn\modules\module.py", line 722, in _call_impl
result = self.forward(*input, kwargs)
File "C:\Users\Voice-trainner\anaconda3\envs\TF2\lib\site-packages\torch\nn\modules\rnn.py", line 579, in forward
result = _VF.lstm(input, batch_sizes, hx, self._flat_weights, self.bias,
RuntimeError: cuDNN error: CUDNN_STATUS_BAD_PARAM
Hi. I tried training to tacotron (Windows 10 and one GPU GeForce RTX2080 Ti) and I got the following error message:
Thanks a lot for your help
python TTS/bin/train_tacotron.py --config_path TTS/tts/configs/config.json 2021-02-17 17:09:11.997602: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cudart64_101.dll