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Is that possible to use cupy to make train he p reprocess faster ? #427

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edwarddu opened this issue Dec 9, 2020 · 3 comments
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@edwarddu
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edwarddu commented Dec 9, 2020

Is that possible to use cupy to make train he p reprocess faster ?

@FabianIsensee
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nnU-Net alrady uses pytorch which in turn uses cuDNN. I am not sure what you are hoping to achieve with cupy. In any case, this would be a question towards the pytorch developers. I am sure there are tutorials on how to write your own cuda kernels

@Joevaen
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Joevaen commented Jan 28, 2021

nnU-Net alrady uses pytorch which in turn uses cuDNN. I am not sure what you are hoping to achieve with cupy. In any case, this would be a question towards the pytorch developers. I am sure there are tutorials on how to write your own cuda kernels

I think what he want to do is a little similar with mine: accelerate the interpolate process during the pre-process. Because the skimage API is so slow. Right? @edwarddu

@FabianIsensee
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If you come up with an equivalent solution that is faster and needs less memory then I am all for it

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