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View Code? Open in Web Editor NEWTutorial for building a custom CUDA function for Pytorch
Tutorial for building a custom CUDA function for Pytorch
After running the make command. The import mathutils gives error.
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).
THCudaTensor you use. However, if i only have cpu, how do i write the c code and compile it?
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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