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NVIDIA / tacotron2

Tacotron 2 - PyTorch implementation with faster-than-realtime inference
BSD 3-Clause "New" or "Revised" License
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Why i am getting this error #625

Open MG219 opened 8 months ago

MG219 commented 8 months ago

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