You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
FP16 Run: False
Dynamic Loss Scaling: True
Distributed Run: False
cuDNN Enabled: True
cuDNN Benchmark: False
Warm starting model from checkpoint 'tacotron2_statedict.pt'
Epoch: 0
2024-03-18 22:08:46.261985: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0.
WARNING:tensorflow:From D:\ANACONDA\lib\site-packages\keras\src\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.
Traceback (most recent call last):
File "D:\sr\tacotron2\train.py", line 289, in
train(args.output_directory, args.log_directory, args.checkpoint_path,
File "D:\sr\tacotron2\train.py", line 208, in train
for i, batch in enumerate(train_loader):
File "D:\ANACONDA\lib\site-packages\torch\utils\data\dataloader.py", line 633, in next
data = self._next_data()
File "D:\ANACONDA\lib\site-packages\torch\utils\data\dataloader.py", line 1345, in _next_data
return self._process_data(data)
File "D:\ANACONDA\lib\site-packages\torch\utils\data\dataloader.py", line 1371, in _process_data
data.reraise()
File "D:\ANACONDA\lib\site-packages\torch_utils.py", line 644, in reraise
raise exception
ValueError: Caught ValueError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "D:\ANACONDA\lib\site-packages\torch\utils\data_utils\worker.py", line 308, in _worker_loop
data = fetcher.fetch(index)
File "D:\ANACONDA\lib\site-packages\torch\utils\data_utils\fetch.py", line 51, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "D:\ANACONDA\lib\site-packages\torch\utils\data_utils\fetch.py", line 51, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "D:\sr\tacotron2\data_utils.py", line 63, in getitem
return self.get_mel_text_pair(self.audiopaths_and_text[index])
File "D:\sr\tacotron2\data_utils.py", line 34, in get_mel_text_pair
mel = self.get_mel(audiopath)
File "D:\sr\tacotron2\data_utils.py", line 51, in get_mel
melspec = torch.from_numpy(np.load(filename))
File "D:\ANACONDA\lib\site-packages\numpy\lib\npyio.py", line 438, in load
raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False
The text was updated successfully, but these errors were encountered:
python train.py --output_directory=outdir --log_directory=logdir -c tacotron2_statedict.pt --warm_start
FP16 Run: False
Dynamic Loss Scaling: True
Distributed Run: False
cuDNN Enabled: True
cuDNN Benchmark: False
Warm starting model from checkpoint 'tacotron2_statedict.pt'
Epoch: 0
2024-03-18 22:08:46.261985: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable
TF_ENABLE_ONEDNN_OPTS=0
.WARNING:tensorflow:From D:\ANACONDA\lib\site-packages\keras\src\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.
Traceback (most recent call last):
File "D:\sr\tacotron2\train.py", line 289, in
train(args.output_directory, args.log_directory, args.checkpoint_path,
File "D:\sr\tacotron2\train.py", line 208, in train
for i, batch in enumerate(train_loader):
File "D:\ANACONDA\lib\site-packages\torch\utils\data\dataloader.py", line 633, in next
data = self._next_data()
File "D:\ANACONDA\lib\site-packages\torch\utils\data\dataloader.py", line 1345, in _next_data
return self._process_data(data)
File "D:\ANACONDA\lib\site-packages\torch\utils\data\dataloader.py", line 1371, in _process_data
data.reraise()
File "D:\ANACONDA\lib\site-packages\torch_utils.py", line 644, in reraise
raise exception
ValueError: Caught ValueError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "D:\ANACONDA\lib\site-packages\torch\utils\data_utils\worker.py", line 308, in _worker_loop
data = fetcher.fetch(index)
File "D:\ANACONDA\lib\site-packages\torch\utils\data_utils\fetch.py", line 51, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "D:\ANACONDA\lib\site-packages\torch\utils\data_utils\fetch.py", line 51, in
data = [self.dataset[idx] for idx in possibly_batched_index]
File "D:\sr\tacotron2\data_utils.py", line 63, in getitem
return self.get_mel_text_pair(self.audiopaths_and_text[index])
File "D:\sr\tacotron2\data_utils.py", line 34, in get_mel_text_pair
mel = self.get_mel(audiopath)
File "D:\sr\tacotron2\data_utils.py", line 51, in get_mel
melspec = torch.from_numpy(np.load(filename))
File "D:\ANACONDA\lib\site-packages\numpy\lib\npyio.py", line 438, in load
raise ValueError("Cannot load file containing pickled data "
ValueError: Cannot load file containing pickled data when allow_pickle=False
The text was updated successfully, but these errors were encountered: