Traceback (most recent call last):
File "/home/user/repo/coqui-clean/TTS/trainer.py", line 804, in fit
self._fit()
File "/home/user/repo/coqui-clean/TTS/trainer.py", line 785, in _fit
self.callbacks.on_epoch_start()
File "/home/user/repo/coqui-clean/TTS/utils/callbacks.py", line 28, in on_epoch_start
self.trainer.model.on_epoch_start(self.trainer)
File "/home/user/repo/coqui-clean/TTS/tts/models/base_tacotron.py", line 284, in on_epoch_start
trainer.train_loader = trainer.setup_train_dataloader(self.ap, self.model.decoder.r, verbose=True)
AttributeError: 'Trainer' object has no attribute 'setup_train_dataloader'
To Reproduce
git clone git@github.com:coqui-ai/TTS.git
cd TTS
git checkout 676d22f # current latest commit
pip install -e .[all,dev,notebooks,tf]
bash recipes/ljspeech/tacotron2-DDC/run.sh
Expected behavior
It trains successfully.
Environment (please complete the following information):
OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Ubuntu 18.04
PyTorch or TensorFlow version (use command below): 1.9.0
Python version: 3.7.10
CUDA/cuDNN version: 11.1/8005
GPU model and memory: RTX 3090 24GB
Exact command to reproduce: bash recipes/ljspeech/tacotron2-DDC/run.sh
Additional context
Here's the full output:
```
(coqui0.1.0) $:~/repo/coqui-clean$ bash recipes/ljspeech/tacotron2-DDC/run.sh
/home/user/repo/coqui-clean/recipes/ljspeech/tacotron2-DDC
--2021-07-06 00:42:41-- http://data.keithito.com/data/speech/LJSpeech-1.1.tar.bz2
Resolving data.keithito.com (data.keithito.com)... 174.138.79.61
Connecting to data.keithito.com (data.keithito.com)|174.138.79.61|:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 2748572632 (2.6G) [application/octet-stream]
Saving to: βLJSpeech-1.1.tar.bz2β
LJSpeech-1.1.tar.bz2
100%[=================================================>] 2.56G 46.6MB/s in 60s
2021-07-06 00:43:40 (44.0 MB/s) - βLJSpeech-1.1.tar.bz2β saved [2748572632/2748572632]
> Setting up Audio Processor...
| > sample_rate:22050
| > resample:False
| > num_mels:80
| > min_level_db:-100
| > frame_shift_ms:None
| > frame_length_ms:None
| > ref_level_db:20
| > fft_size:1024
| > power:1.5
| > preemphasis:0.0
| > griffin_lim_iters:60
| > signal_norm:False
| > symmetric_norm:True
| > mel_fmin:50.0
| > mel_fmax:7600.0
| > spec_gain:1.0
| > stft_pad_mode:reflect
| > max_norm:4.0
| > clip_norm:True
| > do_trim_silence:True
| > trim_db:60
| > do_sound_norm:False
| > stats_path:None
| > base:10
| > hop_length:256
| > win_length:1024
> There are 13100 files.
100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 13100/13100 [05:46<00:00, 37.81it/s]^N
> Avg mel spec mean: -2.378217084246396
> Avg mel spec scale: 0.7759980543384165
> Avg linear spec mean: -1.5933026157748336
> Avg linear spec scale: 0.871633369603101
> stats saved to /home/user/repo/coqui-clean/recipes/ljspeech/tacotron2-DDC/scale_stats.npy
> Git Hash: 676d22ff
> Experiment folder: /home/user/repo/coqui-clean/recipes/ljspeech/tacotron2-DDC/ljspeech-ddc-July-06-2021_12+52AM-676d22ff
> Using CUDA: True
> Number of GPUs: 1
> Setting up Audio Processor...
| > sample_rate:22050
| > resample:False
| > num_mels:80
| > min_level_db:-100
| > frame_shift_ms:None
| > frame_length_ms:None
| > ref_level_db:20
| > fft_size:1024
| > power:1.5
| > preemphasis:0.0
| > griffin_lim_iters:60
| > signal_norm:True
| > symmetric_norm:True
| > mel_fmin:50.0
| > mel_fmax:7600.0
| > spec_gain:1.0
| > stft_pad_mode:reflect
| > max_norm:4.0
| > clip_norm:True
| > do_trim_silence:True
| > trim_db:60
| > do_sound_norm:False
| > stats_path:/home/user/repo/coqui-clean/recipes/ljspeech/tacotron2-DDC/scale_stats.npy
| > base:10
| > hop_length:256
| > win_length:1024
| > Found 13100 files in /home/user/repo/coqui-clean/recipes/ljspeech/tacotron2-DDC/LJSpeech-1.1
> Using model: Tacotron2
> Model has 47695604 parameters
! Run is removed from /home/user/repo/coqui-clean/recipes/ljspeech/tacotron2-DDC/ljspeech-ddc-July-06-2021_12+52AM-676d22ff
Traceback (most recent call last):
File "/home/user/repo/coqui-clean/TTS/trainer.py", line 804, in fit
self._fit()
File "/home/user/repo/coqui-clean/TTS/trainer.py", line 785, in _fit
self.callbacks.on_epoch_start()
File "/home/user/repo/coqui-clean/TTS/utils/callbacks.py", line 28, in on_epoch_start
self.trainer.model.on_epoch_start(self.trainer)
File "/home/user/repo/coqui-clean/TTS/tts/models/base_tacotron.py", line 284, in on_epoch_start
trainer.train_loader = trainer.setup_train_dataloader(self.ap, self.model.decoder.r, verbose=True)
AttributeError: 'Trainer' object has no attribute 'setup_train_dataloader'
```
When I try to run the ljspeech Tacotron2-DDC recipe I get this error:
To Reproduce
Expected behavior
It trains successfully.
Environment (please complete the following information):
bash recipes/ljspeech/tacotron2-DDC/run.sh
Additional context
Here's the full output:
``` (coqui0.1.0) $:~/repo/coqui-clean$ bash recipes/ljspeech/tacotron2-DDC/run.sh /home/user/repo/coqui-clean/recipes/ljspeech/tacotron2-DDC --2021-07-06 00:42:41-- http://data.keithito.com/data/speech/LJSpeech-1.1.tar.bz2 Resolving data.keithito.com (data.keithito.com)... 174.138.79.61 Connecting to data.keithito.com (data.keithito.com)|174.138.79.61|:80... connected. HTTP request sent, awaiting response... 200 OK Length: 2748572632 (2.6G) [application/octet-stream] Saving to: βLJSpeech-1.1.tar.bz2β LJSpeech-1.1.tar.bz2 100%[=================================================>] 2.56G 46.6MB/s in 60s 2021-07-06 00:43:40 (44.0 MB/s) - βLJSpeech-1.1.tar.bz2β saved [2748572632/2748572632] > Setting up Audio Processor... | > sample_rate:22050 | > resample:False | > num_mels:80 | > min_level_db:-100 | > frame_shift_ms:None | > frame_length_ms:None | > ref_level_db:20 | > fft_size:1024 | > power:1.5 | > preemphasis:0.0 | > griffin_lim_iters:60 | > signal_norm:False | > symmetric_norm:True | > mel_fmin:50.0 | > mel_fmax:7600.0 | > spec_gain:1.0 | > stft_pad_mode:reflect | > max_norm:4.0 | > clip_norm:True | > do_trim_silence:True | > trim_db:60 | > do_sound_norm:False | > stats_path:None | > base:10 | > hop_length:256 | > win_length:1024 > There are 13100 files. 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 13100/13100 [05:46<00:00, 37.81it/s]^N > Avg mel spec mean: -2.378217084246396 > Avg mel spec scale: 0.7759980543384165 > Avg linear spec mean: -1.5933026157748336 > Avg linear spec scale: 0.871633369603101 > stats saved to /home/user/repo/coqui-clean/recipes/ljspeech/tacotron2-DDC/scale_stats.npy > Git Hash: 676d22ff > Experiment folder: /home/user/repo/coqui-clean/recipes/ljspeech/tacotron2-DDC/ljspeech-ddc-July-06-2021_12+52AM-676d22ff > Using CUDA: True > Number of GPUs: 1 > Setting up Audio Processor... | > sample_rate:22050 | > resample:False | > num_mels:80 | > min_level_db:-100 | > frame_shift_ms:None | > frame_length_ms:None | > ref_level_db:20 | > fft_size:1024 | > power:1.5 | > preemphasis:0.0 | > griffin_lim_iters:60 | > signal_norm:True | > symmetric_norm:True | > mel_fmin:50.0 | > mel_fmax:7600.0 | > spec_gain:1.0 | > stft_pad_mode:reflect | > max_norm:4.0 | > clip_norm:True | > do_trim_silence:True | > trim_db:60 | > do_sound_norm:False | > stats_path:/home/user/repo/coqui-clean/recipes/ljspeech/tacotron2-DDC/scale_stats.npy | > base:10 | > hop_length:256 | > win_length:1024 | > Found 13100 files in /home/user/repo/coqui-clean/recipes/ljspeech/tacotron2-DDC/LJSpeech-1.1 > Using model: Tacotron2 > Model has 47695604 parameters ! Run is removed from /home/user/repo/coqui-clean/recipes/ljspeech/tacotron2-DDC/ljspeech-ddc-July-06-2021_12+52AM-676d22ff Traceback (most recent call last): File "/home/user/repo/coqui-clean/TTS/trainer.py", line 804, in fit self._fit() File "/home/user/repo/coqui-clean/TTS/trainer.py", line 785, in _fit self.callbacks.on_epoch_start() File "/home/user/repo/coqui-clean/TTS/utils/callbacks.py", line 28, in on_epoch_start self.trainer.model.on_epoch_start(self.trainer) File "/home/user/repo/coqui-clean/TTS/tts/models/base_tacotron.py", line 284, in on_epoch_start trainer.train_loader = trainer.setup_train_dataloader(self.ap, self.model.decoder.r, verbose=True) AttributeError: 'Trainer' object has no attribute 'setup_train_dataloader' ```