mirror of https://github.com/XingangPan/DragGAN
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25 lines
1.0 KiB
C++
25 lines
1.0 KiB
C++
// Copyright (c) SenseTime Research. All rights reserved.
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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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} |