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convert crop_slices to tuple #26

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10 changes: 6 additions & 4 deletions fft_conv_pytorch/fft_conv.py
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Original file line number Diff line number Diff line change
Expand Up @@ -132,10 +132,12 @@ def fft_conv(
output = irfftn(output_fr, dim=tuple(range(2, signal.ndim)))

# Remove extra padded values
crop_slices = [slice(None), slice(None)] + [
slice(0, (signal_size[i] - kernel.size(i) + 1), stride_[i - 2])
for i in range(2, signal.ndim)
]
crop_slices = tuple(
[slice(None), slice(None)] + [
slice(0, (signal_size[i] - kernel.size(i) + 1), stride_[i - 2])
for i in range(2, signal.ndim)
]
)
Comment on lines +135 to +140
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medium

Converting crop_slices to a tuple resolves the deprecation warning. For improved efficiency and conciseness, consider constructing the tuple directly using tuple concatenation with a generator expression. This avoids creating intermediate lists.

crop_slices = (slice(None), slice(None)) + tuple(
    slice(0, (signal_size[i] - kernel.size(i) + 1), stride_[i - 2])
    for i in range(2, signal.ndim)
)

output = output[crop_slices].contiguous()

# Optionally, add a bias term before returning.
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