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Given a (periodic) function $f$ I would like to implement its convolution operator $C_f$, i.e. an operator that I can later apply on a function to give $C_f g = \int dy f(x-y)g(y)$.
After doing so…
Jilhg updated
2 months ago
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### Description
`astropy.convolution.convolve` returns different results depending on if NaN values are present in the input array or not. If no NaN value is present, then the result has a NaN buffer…
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Hello, I truly appreciate your work. However, I noticed that in the GCE module described in the paper, the stride of the convolutional layer matches the kernel size (for instance, k=[3,3,5], s=[3,3,5]…
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Platforms: linux
This test was disabled because it is failing in CI. See [recent examples](https://hud.pytorch.org/flakytest?name=test_depthwise_convolution&suite=DistConvolutionOpsTest&limit=100) an…
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Hi all,
Currently observing a failure when trying to lower the torch.aten.convolution operator. The failure message that I see is: ` unimplemented: only 2D grouped convolution supported`.
Comman…
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Hi Matthew,
This part of the code
```
# now broaden bc to simulate effect of bulk-velocity shifts
vsigma = vfwhm / 2.35
wsigma = wavbe * vsigma*1e3 / _c_ # change vsigm…
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[https://github.com/StarostinV/convkan](https://github.com/StarostinV/convkan)
A basic yet efficient (thanks to [efficient-kan](https://github.com/Blealtan/efficient-kan/)) implementation of the co…
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