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GPU implementation about convnetsharp HOT 4 CLOSED

cbovar avatar cbovar commented on July 19, 2024
GPU implementation

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Comments (4)

tramper2 avatar tramper2 commented on July 19, 2024

it will be very nice that support CUDA

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cbovar avatar cbovar commented on July 19, 2024

I am currently working on GPU implementation using https://github.com/kunzmi/managedCuda. The branch is https://github.com/cbovar/ConvNetSharp/tree/GPU. You can try to run GPU MNIST demo: https://github.com/cbovar/ConvNetSharp/tree/GPU/Examples/GPUMnistDemo

So far only ConvLayer runs on GPU and the implementation is naive.

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omittones avatar omittones commented on July 19, 2024

@cbovar Hey, thanks for the library. One small issue, there are two branches Gpu and GPU. Can you delete the Gpu (lowercase) branch, sometimes it overwrites the GPU branch when cloning on Windows. Thanks.

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cbovar avatar cbovar commented on July 19, 2024

I deleted 'Gpu' branch.

I'm about to commit a new version of ConvNetSharp that uses nvidia Cudnn library when running on GPU. It is much faster than what you can find in the current GPU branch (hand coded kernels).

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