FP16 Run: False
Dynamic Loss Scaling: True
Distributed Run: False
cuDNN Enabled: True
cuDNN Benchmark: False
  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed
100   408    0   408    0     0    772      0 --:--:-- --:--:-- --:--:--   772
  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0
  0     0    0     0    0     0      0      0 --:--:--  0:00:01 --:--:--     0
100  107M    0  107M    0     0  37.7M      0 --:--:--  0:00:02 --:--:--  137M
Warm starting model from checkpoint 'pretrained_model'
0%
0/500 [00:00<?, ?it/s]

Starting Epoch: 0 Iteration: 0
0%
0/1 [00:00<?, ?it/s]
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-19-e8a871a0e98d> in <module>()
      5 print('cuDNN Benchmark:', hparams.cudnn_benchmark)
      6 train(output_directory, log_directory, checkpoint_path,
----> 7       warm_start, n_gpus, rank, group_name, hparams, log_directory2)

6 frames
/usr/local/lib/python3.7/dist-packages/torch/_utils.py in reraise(self)
    427             # have message field
    428             raise self.exc_type(message=msg)
--> 429         raise self.exc_type(msg)
    430 
    431 

ValueError: Caught ValueError in DataLoader worker process 0.
Original Traceback (most recent call last):
  File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/worker.py", line 202, in _worker_loop
    data = fetcher.fetch(index)
  File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/usr/local/lib/python3.7/dist-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
    data = [self.dataset[idx] for idx in possibly_batched_index]
  File "/content/tacotron2/data_utils.py", line 61, in __getitem__
    return self.get_mel_text_pair(self.audiopaths_and_text[index])
  File "/content/tacotron2/data_utils.py", line 34, in get_mel_text_pair
    mel = self.get_mel(audiopath)
  File "/content/tacotron2/data_utils.py", line 49, in get_mel
    melspec = torch.from_numpy(np.load(filename))
  File "/usr/local/lib/python3.7/dist-packages/numpy/lib/npyio.py", line 444, in load
    raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False