Face-Swap / basicsr /ops /dcn /src /deform_conv_ext.cpp
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// modify from
// https://github.com/chengdazhi/Deformable-Convolution-V2-PyTorch/blob/mmdetection/mmdet/ops/dcn/src/deform_conv_cuda.c
#include <torch/extension.h>
#include <ATen/DeviceGuard.h>
#include <cmath>
#include <vector>
#define WITH_CUDA // always use cuda
#ifdef WITH_CUDA
int deform_conv_forward_cuda(at::Tensor input, at::Tensor weight,
at::Tensor offset, at::Tensor output,
at::Tensor columns, at::Tensor ones, int kW,
int kH, int dW, int dH, int padW, int padH,
int dilationW, int dilationH, int group,
int deformable_group, int im2col_step);
int deform_conv_backward_input_cuda(at::Tensor input, at::Tensor offset,
at::Tensor gradOutput, at::Tensor gradInput,
at::Tensor gradOffset, at::Tensor weight,
at::Tensor columns, int kW, int kH, int dW,
int dH, int padW, int padH, int dilationW,
int dilationH, int group,
int deformable_group, int im2col_step);
int deform_conv_backward_parameters_cuda(
at::Tensor input, at::Tensor offset, at::Tensor gradOutput,
at::Tensor gradWeight, // at::Tensor gradBias,
at::Tensor columns, at::Tensor ones, int kW, int kH, int dW, int dH,
int padW, int padH, int dilationW, int dilationH, int group,
int deformable_group, float scale, int im2col_step);
void modulated_deform_conv_cuda_forward(
at::Tensor input, at::Tensor weight, at::Tensor bias, at::Tensor ones,
at::Tensor offset, at::Tensor mask, at::Tensor output, at::Tensor columns,
int kernel_h, int kernel_w, const int stride_h, const int stride_w,
const int pad_h, const int pad_w, const int dilation_h,
const int dilation_w, const int group, const int deformable_group,
const bool with_bias);
void modulated_deform_conv_cuda_backward(
at::Tensor input, at::Tensor weight, at::Tensor bias, at::Tensor ones,
at::Tensor offset, at::Tensor mask, at::Tensor columns,
at::Tensor grad_input, at::Tensor grad_weight, at::Tensor grad_bias,
at::Tensor grad_offset, at::Tensor grad_mask, at::Tensor grad_output,
int kernel_h, int kernel_w, int stride_h, int stride_w, int pad_h,
int pad_w, int dilation_h, int dilation_w, int group, int deformable_group,
const bool with_bias);
#endif
int deform_conv_forward(at::Tensor input, at::Tensor weight,
at::Tensor offset, at::Tensor output,
at::Tensor columns, at::Tensor ones, int kW,
int kH, int dW, int dH, int padW, int padH,
int dilationW, int dilationH, int group,
int deformable_group, int im2col_step) {
if (input.device().is_cuda()) {
#ifdef WITH_CUDA
return deform_conv_forward_cuda(input, weight, offset, output, columns,
ones, kW, kH, dW, dH, padW, padH, dilationW, dilationH, group,
deformable_group, im2col_step);
#else
AT_ERROR("deform conv is not compiled with GPU support");
#endif
}
AT_ERROR("deform conv is not implemented on CPU");
}
int deform_conv_backward_input(at::Tensor input, at::Tensor offset,
at::Tensor gradOutput, at::Tensor gradInput,
at::Tensor gradOffset, at::Tensor weight,
at::Tensor columns, int kW, int kH, int dW,
int dH, int padW, int padH, int dilationW,
int dilationH, int group,
int deformable_group, int im2col_step) {
if (input.device().is_cuda()) {
#ifdef WITH_CUDA
return deform_conv_backward_input_cuda(input, offset, gradOutput,
gradInput, gradOffset, weight, columns, kW, kH, dW, dH, padW, padH,
dilationW, dilationH, group, deformable_group, im2col_step);
#else
AT_ERROR("deform conv is not compiled with GPU support");
#endif
}
AT_ERROR("deform conv is not implemented on CPU");
}
int deform_conv_backward_parameters(
at::Tensor input, at::Tensor offset, at::Tensor gradOutput,
at::Tensor gradWeight, // at::Tensor gradBias,
at::Tensor columns, at::Tensor ones, int kW, int kH, int dW, int dH,
int padW, int padH, int dilationW, int dilationH, int group,
int deformable_group, float scale, int im2col_step) {
if (input.device().is_cuda()) {
#ifdef WITH_CUDA
return deform_conv_backward_parameters_cuda(input, offset, gradOutput,
gradWeight, columns, ones, kW, kH, dW, dH, padW, padH, dilationW,
dilationH, group, deformable_group, scale, im2col_step);
#else
AT_ERROR("deform conv is not compiled with GPU support");
#endif
}
AT_ERROR("deform conv is not implemented on CPU");
}
void modulated_deform_conv_forward(
at::Tensor input, at::Tensor weight, at::Tensor bias, at::Tensor ones,
at::Tensor offset, at::Tensor mask, at::Tensor output, at::Tensor columns,
int kernel_h, int kernel_w, const int stride_h, const int stride_w,
const int pad_h, const int pad_w, const int dilation_h,
const int dilation_w, const int group, const int deformable_group,
const bool with_bias) {
if (input.device().is_cuda()) {
#ifdef WITH_CUDA
return modulated_deform_conv_cuda_forward(input, weight, bias, ones,
offset, mask, output, columns, kernel_h, kernel_w, stride_h,
stride_w, pad_h, pad_w, dilation_h, dilation_w, group,
deformable_group, with_bias);
#else
AT_ERROR("modulated deform conv is not compiled with GPU support");
#endif
}
AT_ERROR("modulated deform conv is not implemented on CPU");
}
void modulated_deform_conv_backward(
at::Tensor input, at::Tensor weight, at::Tensor bias, at::Tensor ones,
at::Tensor offset, at::Tensor mask, at::Tensor columns,
at::Tensor grad_input, at::Tensor grad_weight, at::Tensor grad_bias,
at::Tensor grad_offset, at::Tensor grad_mask, at::Tensor grad_output,
int kernel_h, int kernel_w, int stride_h, int stride_w, int pad_h,
int pad_w, int dilation_h, int dilation_w, int group, int deformable_group,
const bool with_bias) {
if (input.device().is_cuda()) {
#ifdef WITH_CUDA
return modulated_deform_conv_cuda_backward(input, weight, bias, ones,
offset, mask, columns, grad_input, grad_weight, grad_bias, grad_offset,
grad_mask, grad_output, kernel_h, kernel_w, stride_h, stride_w,
pad_h, pad_w, dilation_h, dilation_w, group, deformable_group,
with_bias);
#else
AT_ERROR("modulated deform conv is not compiled with GPU support");
#endif
}
AT_ERROR("modulated deform conv is not implemented on CPU");
}
PYBIND11_MODULE(TORCH_EXTENSION_NAME, m) {
m.def("deform_conv_forward", &deform_conv_forward,
"deform forward");
m.def("deform_conv_backward_input", &deform_conv_backward_input,
"deform_conv_backward_input");
m.def("deform_conv_backward_parameters",
&deform_conv_backward_parameters,
"deform_conv_backward_parameters");
m.def("modulated_deform_conv_forward",
&modulated_deform_conv_forward,
"modulated deform conv forward");
m.def("modulated_deform_conv_backward",
&modulated_deform_conv_backward,
"modulated deform conv backward");
}