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Tutorial for building a custom CUDA function for Pytorch

Makefile 19.00% Python 35.50% C 20.81% Cuda 24.69%
python pytorch pytorch-backend tutorial wrapper

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pytorch-custom-cuda-tutorial's Issues

Adding checks and error returns?

This tutorial is awesome as it's so condensed. But there are a few things it would be cool if you'd mention in it, that really needs to be there in practice: an example on how to check arguments (for example, checking if the input tensors are contiguous) and how to return an error if they are not OK (not contiguous, out of range etc).

broadcast_sum_kernel

the column and row write error? I test it, and change it as follow:

__global__ void broadcast_sum_kernel(float *a, float *b, int x, int y, int size)
{
    int i = (blockIdx.x + blockIdx.y * gridDim.x) * blockDim.x + threadIdx.x;
    if (i >= size) return;
    int j = i % y;
    i = i / y;
    int k = i % x;
    a[IDX2D(k, j, y)] += b[k];
}

Maybe I am wrong.

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