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Hunyuan3D-1.0
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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");
}