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Hi, I managed to run VITS on Python 3.8.12 but when I upgraded to Python 3.10.12, I've got the following error:
Traceback (most recent call last):
File "/content/drive/MyDrive/vits/train.py", line 290, in
main()
File "/content/drive/MyDrive/vits/train.py", line 50, in main
mp.spawn(run, nprocs=n_gpus, args=(n_gpus, hps,))
File "/usr/local/lib/python3.10/dist-packages/torch/multiprocessing/spawn.py", line 239, in spawn
return start_processes(fn, args, nprocs, join, daemon, start_method='spawn')
File "/usr/local/lib/python3.10/dist-packages/torch/multiprocessing/spawn.py", line 197, in start_processes
while not context.join():
File "/usr/local/lib/python3.10/dist-packages/torch/multiprocessing/spawn.py", line 160, in join
raise ProcessRaisedException(msg, error_index, failed_process.pid)
torch.multiprocessing.spawn.ProcessRaisedException:
-- Process 0 terminated with the following error:
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/torch/multiprocessing/spawn.py", line 69, in _wrap
fn(i, *args)
File "/content/drive/MyDrive/vits/train.py", line 117, in run
train_and_evaluate(rank, epoch, hps, [net_g, net_d], [optim_g, optim_d], [scheduler_g, scheduler_d], scaler, [train_loader, eval_loader], logger, [writer, writer_eval])
File "/content/drive/MyDrive/vits/train.py", line 137, in train_and_evaluate
for batch_idx, (x, x_lengths, spec, spec_lengths, y, y_lengths) in enumerate(train_loader):
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py", line 633, in next
data = self._next_data()
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py", line 1345, in _next_data
return self._process_data(data)
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py", line 1371, in _process_data
data.reraise()
File "/usr/local/lib/python3.10/dist-packages/torch/_utils.py", line 644, in reraise
raise exception
IndexError: Caught IndexError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/_utils/worker.py", line 308, in _worker_loop
data = fetcher.fetch(index)
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/_utils/fetch.py", line 54, in fetch
return self.collate_fn(data)
File "/content/drive/MyDrive/vits/data_utils.py", line 114, in call
torch.LongTensor([x[1].size(1) for x in batch]),
File "/content/drive/MyDrive/vits/data_utils.py", line 114, in
torch.LongTensor([x[1].size(1) for x in batch]), IndexError: Dimension out of range (expected to be in range of [-1, 0], but got 1)
It appears Python 3.10.12 is complaining the input tensor is of wrong shape but that doesn't happen for Python 3.8
May I ask why is this happening? Thanks.
The text was updated successfully, but these errors were encountered:
Hi, I managed to run VITS on Python 3.8.12 but when I upgraded to Python 3.10.12, I've got the following error:
Traceback (most recent call last):
File "/content/drive/MyDrive/vits/train.py", line 290, in
main()
File "/content/drive/MyDrive/vits/train.py", line 50, in main
mp.spawn(run, nprocs=n_gpus, args=(n_gpus, hps,))
File "/usr/local/lib/python3.10/dist-packages/torch/multiprocessing/spawn.py", line 239, in spawn
return start_processes(fn, args, nprocs, join, daemon, start_method='spawn')
File "/usr/local/lib/python3.10/dist-packages/torch/multiprocessing/spawn.py", line 197, in start_processes
while not context.join():
File "/usr/local/lib/python3.10/dist-packages/torch/multiprocessing/spawn.py", line 160, in join
raise ProcessRaisedException(msg, error_index, failed_process.pid)
torch.multiprocessing.spawn.ProcessRaisedException:
-- Process 0 terminated with the following error:
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/torch/multiprocessing/spawn.py", line 69, in _wrap
fn(i, *args)
File "/content/drive/MyDrive/vits/train.py", line 117, in run
train_and_evaluate(rank, epoch, hps, [net_g, net_d], [optim_g, optim_d], [scheduler_g, scheduler_d], scaler, [train_loader, eval_loader], logger, [writer, writer_eval])
File "/content/drive/MyDrive/vits/train.py", line 137, in train_and_evaluate
for batch_idx, (x, x_lengths, spec, spec_lengths, y, y_lengths) in enumerate(train_loader):
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py", line 633, in next
data = self._next_data()
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py", line 1345, in _next_data
return self._process_data(data)
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py", line 1371, in _process_data
data.reraise()
File "/usr/local/lib/python3.10/dist-packages/torch/_utils.py", line 644, in reraise
raise exception
IndexError: Caught IndexError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/_utils/worker.py", line 308, in _worker_loop
data = fetcher.fetch(index)
File "/usr/local/lib/python3.10/dist-packages/torch/utils/data/_utils/fetch.py", line 54, in fetch
return self.collate_fn(data)
File "/content/drive/MyDrive/vits/data_utils.py", line 114, in call
torch.LongTensor([x[1].size(1) for x in batch]),
File "/content/drive/MyDrive/vits/data_utils.py", line 114, in
torch.LongTensor([x[1].size(1) for x in batch]),
IndexError: Dimension out of range (expected to be in range of [-1, 0], but got 1)
It appears Python 3.10.12 is complaining the input tensor is of wrong shape but that doesn't happen for Python 3.8
May I ask why is this happening? Thanks.
The text was updated successfully, but these errors were encountered: