RumtimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead.

[markredito]

Hello!

When I run the script:

(deepafx-st) E:\CODE\DeepAFx-ST>python scripts/process.py -i "E:\CODE\DeepAFx-ST\audio files\raw\160 JAZZ DNB2_MdcL3.wav" -r "E:\CODE\DeepAFx-ST\audio files\target\05 NOT TiGHT.wav" -c "E:\CODE\DeepAFx-ST\checkpoints\style\jamendo\autodiff\lightning_logs\version_0\checkpoints\epoch=362-step=1210241-val-jamendo-autodiff.ckpt"

I encounter a runtime error:

Resampling to 24000 Hz...
Traceback (most recent call last):
  File "scripts/process.py", line 89, in <module>
    x_24000 = torch.tensor(resampy.resample(x.view(-1).numpy(), x_sr, 24000))
RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead.

Any ideas how I can resolve this?

System specs:
Windows 10
Anaconda Python
cmd.exe

[showmin]

I happened to encounter this issue and solved it by converting the sample rate of input and reference from 48000 to 24000.