[GH-ISSUE #907] UserWarning: stft and grad #582

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opened 2026-10-20 10:00:54 +00:00 by bsakaguchi · 2 comments

bsakaguchi commented

2026-10-20 10:00:54 +00:00

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Originally created by @jhchase on GitHub (Jul 30, 2023).
Original GitHub issue: https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/issues/907

I see these warnings all the time. Will there be mistakes because of them?

/opt/conda/envs/rvc/lib/python3.9/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 ../aten/src/ATen/native/SpectralOps.cpp:862.)
  return _VF.stft(input, n_fft, hop_length, win_length, window,  # type: ignore[attr-defined]

INFO:torch.nn.parallel.distributed:Reducer buckets have been rebuilt in this iteration.

/opt/conda/envs/rvc/lib/python3.9/site-packages/torch/autograd/__init__.py:200: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed.  This is not an error, but may impair performance.
grad.sizes() = [64, 1, 4], strides() = [4, 1, 1]
bucket_view.sizes() = [64, 1, 4], strides() = [4, 4, 1] (Triggered internally at ../torch/csrc/distributed/c10d/reducer.cpp:323.)
  Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass

Originally created by @jhchase on GitHub (Jul 30, 2023). Original GitHub issue: https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/issues/907 I see these warnings all the time. Will there be mistakes because of them? ```` /opt/conda/envs/rvc/lib/python3.9/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 ../aten/src/ATen/native/SpectralOps.cpp:862.) return _VF.stft(input, n_fft, hop_length, win_length, window, # type: ignore[attr-defined] INFO:torch.nn.parallel.distributed:Reducer buckets have been rebuilt in this iteration. /opt/conda/envs/rvc/lib/python3.9/site-packages/torch/autograd/__init__.py:200: UserWarning: Grad strides do not match bucket view strides. This may indicate grad was not created according to the gradient layout contract, or that the param's strides changed since DDP was constructed. This is not an error, but may impair performance. grad.sizes() = [64, 1, 4], strides() = [4, 1, 1] bucket_view.sizes() = [64, 1, 4], strides() = [4, 4, 1] (Triggered internally at ../torch/csrc/distributed/c10d/reducer.cpp:323.) Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass ````

bsakaguchi closed this issue

2026-10-20 10:00:54 +00:00

bsakaguchi commented

2026-10-20 10:00:55 +00:00

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@ms903x1 commented on GitHub (Jul 30, 2023):

Warnings generally have no impact

@ms903x1 commented on GitHub (Jul 30, 2023): Warnings generally have no impact

bsakaguchi commented

2026-10-20 10:00:55 +00:00

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