1 files changed, 164 insertions, 0 deletions
diff --git a/r_basicsr/ops/dcn/src/deform_conv_ext.cpp b/r_basicsr/ops/dcn/src/deform_conv_ext.cpp
new file mode 100644
index 0000000..5c21d02
--- /dev/null
+++ b/r_basicsr/ops/dcn/src/deform_conv_ext.cpp
@@ -0,0 +1,164 @@
+// 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");
+}