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@ -15,3 +15,7 @@ Quickly discovering that without writing custom kernels, you can't really progre
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- padding kernel
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- column major / row major headache
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- removing cuBLAS -> just row major representation
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- naive conv2d
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- learning 3D memory representation
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- optimizing conv2d
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- softmax sum reduce
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