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#include <torch/extension.h> |
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torch::Tensor upfirdn2d_op(const torch::Tensor& input, const torch::Tensor& kernel, |
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int up_x, int up_y, int down_x, int down_y, |
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int pad_x0, int pad_x1, int pad_y0, int pad_y1); |
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#define CHECK_CUDA(x) TORCH_CHECK(x.type().is_cuda(), #x " must be a CUDA tensor") |
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#define CHECK_CONTIGUOUS(x) TORCH_CHECK(x.is_contiguous(), #x " must be contiguous") |
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#define CHECK_INPUT(x) CHECK_CUDA(x); CHECK_CONTIGUOUS(x) |
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torch::Tensor upfirdn2d(const torch::Tensor& input, const torch::Tensor& kernel, |
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int up_x, int up_y, int down_x, int down_y, |
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int pad_x0, int pad_x1, int pad_y0, int pad_y1) { |
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CHECK_CUDA(input); |
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CHECK_CUDA(kernel); |
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return upfirdn2d_op(input, kernel, up_x, up_y, down_x, down_y, pad_x0, pad_x1, pad_y0, pad_y1); |
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} |
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PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) { |
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m.def("upfirdn2d", &upfirdn2d, "upfirdn2d (CUDA)"); |
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} |