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What is the suggested way to implement an autograd version of nn.functional.conv1d? #24

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penguinshin opened this issue Jun 4, 2023 · 0 comments

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penguinshin commented Jun 4, 2023

Suppose I want to use fftconv_fwd to implement nn.functional.conv1d - how would I go about doing this? Is there already a function in safari that operates on pytorch tensors and computes a differentiable version of both the convolution as well as the concatenation of the filters? In particular, I'm looking for > 100K kernel size

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