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