RuntimeError: The expanded size of the tensor (12) must match the existing size (84) at non-singleton dimension 2. Target sizes: [64, 80, 12]. Tensor sizes: [64, 1, 84]

[lpierron]

I have the same problem with v0.0.12:

 CUDA_VISIBLE_DEVICES="0" python ../../TTS/bin/train_tacotron.py --config_path model_config.json
 > Using CUDA:  True
 > Number of GPUs:  1
 > Git Hash: 59ab268
 > Experiment folder: /home/lpierron/Mozilla_TTS/CORPUS_LP/Models/maiLabs-fr-dca/mailabs-fr-ddc-April-23-2021_03+38PM-59ab268
 > 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:0
 | > mel_fmax:8000.0
 | > 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:./scale_stats.npy
 | > log_func:<ufunc 'log10'>
 | > exp_func:<function AudioProcessor.__init__.<locals>.<lambda> at 0x7f1ef7ac6c10>
 | > hop_length:256
 | > win_length:1024
 | > /tmp/tts/by_book/female/ezwa/monsieur_lecoq/metadata.csv
 | > Found 14211 files in /tmp/tts
 > Using model: Tacotron2

 > Model has 28183506 parameters
 > Starting with inf best loss.

 > DataLoader initialization
 | > Use phonemes: True
   | > phoneme language: fr-fr
 | > Number of instances : 14069
 | > Max length sequence: 281
 | > Min length sequence: 3
 | > Avg length sequence: 105.0826640130784
 | > Num. instances discarded by max-min (max=153, min=6) seq limits: 2420
 | > Batch group size: 128.

 > EPOCH: 0/1000

 > Number of output frames: 7

 > TRAINING (2021-04-23 15:38:18)
 ! Run is removed from /home/lpierron/Mozilla_TTS/CORPUS_LP/Models/maiLabs-fr-dca/mailabs-fr-ddc-April-23-2021_03+38PM-59ab268
Traceback (most recent call last):
  File "../../TTS/bin/train_tacotron.py", line 744, in <module>
    main(args)
  File "../../TTS/bin/train_tacotron.py", line 704, in main
    train_avg_loss_dict, global_step = train(
  File "../../TTS/bin/train_tacotron.py", line 198, in train
    decoder_output, postnet_output, alignments, stop_tokens = model(
  File "/home/lpierron/miniconda3/envs/tts/lib/python3.8/site-packages/torch/nn/modules/module.py", line 889, in _call_impl
    result = self.forward(*input, **kwargs)
  File "/home/lpierron/Mozilla_TTS/COQUI-TTS/TTS/TTS/tts/models/tacotron2.py", line 226, in forward
    decoder_outputs = decoder_outputs * output_mask.unsqueeze(1).expand_as(decoder_outputs)
RuntimeError: The expanded size of the tensor (12) must match the existing size (84) at non-singleton dimension 2.  Target sizes: [64, 80, 12].  Tensor sizes: [64, 1, 84]

I have downgraded librosa==0.6.3 but it doesn't work.

See my configuration next:

model_config.json.txt

Originally posted by @lpierron in #370 (comment)

[erogol]

set 'r':7 in config.json