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
E:\rvc-webui-main\venv\lib\site-packages\torch\functional.py:641: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.
Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\SpectralOps.cpp:867.)
return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]
E:\rvc-webui-main\venv\lib\site-packages\torch\functional.py:641: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.
Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\SpectralOps.cpp:867.)
return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]
2%|█▏ | 1/60 [00:09<09:38, 9.80s/it, epoch=1]E:\rvc-webui-main\lib\rvc\mel_processing.py:88: FutureWarning: Pass sr=40000, n_fft=2048, n_mels=125, fmin=0.0, fmax=None as keyword args. From version 0.10 passing these as positional arguments will result in an error
mel = librosa_mel_fn(sampling_rate, n_fft, num_mels, fmin, fmax)
E:\rvc-webui-main\venv\lib\site-packages\torch\functional.py:641: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.
Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\SpectralOps.cpp:867.)
return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]
33%|███████ | 20/60 [01:21<02:19, 3.48s/it, epoch=10, loss_d=3.87, loss_g=41.1, lr=9.99e-5, use_cache=0]Saving model and optimizer state at epoch 10 to E:\rvc-webui-main\models\training\models\白上\state\G_10.pth
Traceback (most recent call last):
File "E:\rvc-webui-main\venv\lib\site-packages\gradio\routes.py", line 439, in run_predict
output = await app.get_blocks().process_api(
File "E:\rvc-webui-main\venv\lib\site-packages\gradio\blocks.py", line 1384, in process_api
result = await self.call_function(
File "E:\rvc-webui-main\venv\lib\site-packages\gradio\blocks.py", line 1103, in call_function
prediction = await utils.async_iteration(iterator)
File "E:\rvc-webui-main\venv\lib\site-packages\gradio\utils.py", line 343, in async_iteration
return await iterator.anext()
File "E:\rvc-webui-main\venv\lib\site-packages\gradio\utils.py", line 336, in anext
return await anyio.to_thread.run_sync(
File "E:\rvc-webui-main\venv\lib\site-packages\anyio\to_thread.py", line 33, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "E:\rvc-webui-main\venv\lib\site-packages\anyio_backends_asyncio.py", line 877, in run_sync_in_worker_thread
return await future
File "E:\rvc-webui-main\venv\lib\site-packages\anyio_backends_asyncio.py", line 807, in run
result = context.run(func, *args)
File "E:\rvc-webui-main\venv\lib\site-packages\gradio\utils.py", line 319, in run_sync_iterator_async
return next(iterator)
File "E:\rvc-webui-main\venv\lib\site-packages\gradio\utils.py", line 688, in gen_wrapper
yield from f(*args, **kwargs)
File "E:\rvc-webui-main\modules\tabs\training.py", line 247, in train_all
train_model(
File "E:\rvc-webui-main\lib\rvc\train.py", line 345, in train_model
training_runner(
File "E:\rvc-webui-main\lib\rvc\train.py", line 954, in training_runner
utils.save_state(
File "E:\rvc-webui-main\lib\rvc\utils.py", line 135, in save_state
torch.save(
File "E:\rvc-webui-main\venv\lib\site-packages\torch\serialization.py", line 440, in save
with _open_zipfile_writer(f) as opened_zipfile:
File "E:\rvc-webui-main\venv\lib\site-packages\torch\serialization.py", line 315, in _open_zipfile_writer
return container(name_or_buffer)
File "E:\rvc-webui-main\venv\lib\site-packages\torch\serialization.py", line 288, in init
super().init(torch._C.PyTorchFileWriter(str(name)))
RuntimeError: Parent directory E:\rvc-webui-main\models\training\models\白上\state does not exist.
2023-09-27 19:14:12 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 500 Internal Server Error"
The text was updated successfully, but these errors were encountered:
E:\rvc-webui-main\venv\lib\site-packages\torch\functional.py:641: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.
Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\SpectralOps.cpp:867.)
return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]
E:\rvc-webui-main\venv\lib\site-packages\torch\functional.py:641: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.
Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\SpectralOps.cpp:867.)
return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]
2%|█▏ | 1/60 [00:09<09:38, 9.80s/it, epoch=1]E:\rvc-webui-main\lib\rvc\mel_processing.py:88: FutureWarning: Pass sr=40000, n_fft=2048, n_mels=125, fmin=0.0, fmax=None as keyword args. From version 0.10 passing these as positional arguments will result in an error
mel = librosa_mel_fn(sampling_rate, n_fft, num_mels, fmin, fmax)
E:\rvc-webui-main\venv\lib\site-packages\torch\functional.py:641: UserWarning: stft with return_complex=False is deprecated. In a future pytorch release, stft will return complex tensors for all inputs, and return_complex=False will raise an error.
Note: you can still call torch.view_as_real on the complex output to recover the old return format. (Triggered internally at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\SpectralOps.cpp:867.)
return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined]
33%|███████ | 20/60 [01:21<02:19, 3.48s/it, epoch=10, loss_d=3.87, loss_g=41.1, lr=9.99e-5, use_cache=0]Saving model and optimizer state at epoch 10 to E:\rvc-webui-main\models\training\models\白上\state\G_10.pth
Traceback (most recent call last):
File "E:\rvc-webui-main\venv\lib\site-packages\gradio\routes.py", line 439, in run_predict
output = await app.get_blocks().process_api(
File "E:\rvc-webui-main\venv\lib\site-packages\gradio\blocks.py", line 1384, in process_api
result = await self.call_function(
File "E:\rvc-webui-main\venv\lib\site-packages\gradio\blocks.py", line 1103, in call_function
prediction = await utils.async_iteration(iterator)
File "E:\rvc-webui-main\venv\lib\site-packages\gradio\utils.py", line 343, in async_iteration
return await iterator.anext()
File "E:\rvc-webui-main\venv\lib\site-packages\gradio\utils.py", line 336, in anext
return await anyio.to_thread.run_sync(
File "E:\rvc-webui-main\venv\lib\site-packages\anyio\to_thread.py", line 33, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "E:\rvc-webui-main\venv\lib\site-packages\anyio_backends_asyncio.py", line 877, in run_sync_in_worker_thread
return await future
File "E:\rvc-webui-main\venv\lib\site-packages\anyio_backends_asyncio.py", line 807, in run
result = context.run(func, *args)
File "E:\rvc-webui-main\venv\lib\site-packages\gradio\utils.py", line 319, in run_sync_iterator_async
return next(iterator)
File "E:\rvc-webui-main\venv\lib\site-packages\gradio\utils.py", line 688, in gen_wrapper
yield from f(*args, **kwargs)
File "E:\rvc-webui-main\modules\tabs\training.py", line 247, in train_all
train_model(
File "E:\rvc-webui-main\lib\rvc\train.py", line 345, in train_model
training_runner(
File "E:\rvc-webui-main\lib\rvc\train.py", line 954, in training_runner
utils.save_state(
File "E:\rvc-webui-main\lib\rvc\utils.py", line 135, in save_state
torch.save(
File "E:\rvc-webui-main\venv\lib\site-packages\torch\serialization.py", line 440, in save
with _open_zipfile_writer(f) as opened_zipfile:
File "E:\rvc-webui-main\venv\lib\site-packages\torch\serialization.py", line 315, in _open_zipfile_writer
return container(name_or_buffer)
File "E:\rvc-webui-main\venv\lib\site-packages\torch\serialization.py", line 288, in init
super().init(torch._C.PyTorchFileWriter(str(name)))
RuntimeError: Parent directory E:\rvc-webui-main\models\training\models\白上\state does not exist.
2023-09-27 19:14:12 | INFO | httpx | HTTP Request: POST http://127.0.0.1:7860/api/predict "HTTP/1.1 500 Internal Server Error"
The text was updated successfully, but these errors were encountered: