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compute capabilities - #1040

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kushalkolar merged 3 commits into
ndwidgetfrom
masknmf-compute
May 2, 2026
Merged

compute capabilities#1040
kushalkolar merged 3 commits into
ndwidgetfrom
masknmf-compute

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@kushalkolar kushalkolar commented Apr 25, 2026

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Starting to prototype the combination of compute and viz, making required modifications to fastplotlib that are required for this. Going to start with creating the basic things we need for masknmf viz. Will put actual compute + viz examples and implementations in https://github.com/kushalkolar/wgpu-linalg

  • compute shader can target textures in a TextureArray so fastplotlib can display them

Thoughts:

I think a full basic numpy-like API with .to("wgpu") and to_numpy() calls would be useful. We need TextureArray and all other data-features in fastplotlib to behave identical regardless of where the data is. For TextureArray this means we need the format as well, so dtype etc.

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kushalkolar requested a review from clewis7 as a code owner April 25, 2026 04:48
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I will do positional based graphic buffers later, merging for now.

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kushalkolar merged commit 427baae into ndwidget May 2, 2026
@kushalkolar kushalkolar mentioned this pull request May 3, 2026
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kushalkolar deleted the masknmf-compute branch May 9, 2026 12:07
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