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Fix: handle CUDA tensors in df_features() by moving audio to CPU before NumPy conversion #666

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Fix: handle CUDA tensors in df_features() by moving audio to CPU before NumPy conversion #666

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@F1xxs F1xxs commented Nov 10, 2025

While working on a personal project using DeepFilterNet with an external model operating on CUDA tensors, I encountered the following error:

spec = df.analysis(audio.numpy())  # [C, Tf] -> [C, Tf, F]
TypeError: can't convert cuda:0 device type tensor to numpy. Use Tensor.cpu() to copy the tensor to host memory first.
^C

To resolve this, I applied .detach() and .cpu() on the audio tensor to remove it from autograd graph and move to the CPU.

spec = df.analysis(audio.detach().cpu().numpy())

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