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// modify from
// https://github.com/chengdazhi/Deformable-Convolution-V2-PyTorch/blob/mmdetection/mmdet/ops/dcn/src/modulated_dcn_cuda.c
// based on
// author: Charles Shang
// https://github.com/torch/cunn/blob/master/lib/THCUNN/generic/SpatialConvolutionMM.cu
#include <ATen/ATen.h>
#include <ATen/cuda/CUDAContext.h>
#include <THC/THC.h>
#include <THC/THCDeviceUtils.cuh>
#include <vector>
#include <iostream>
#include <cmath>
void DeformablePSROIPoolForward(
const at::Tensor data, const at::Tensor bbox, const at::Tensor trans,
at::Tensor out, at::Tensor top_count, const int batch, const int channels,
const int height, const int width, const int num_bbox,
const int channels_trans, const int no_trans, const float spatial_scale,
const int output_dim, const int group_size, const int pooled_size,
const int part_size, const int sample_per_part, const float trans_std);
void DeformablePSROIPoolBackwardAcc(
const at::Tensor out_grad, const at::Tensor data, const at::Tensor bbox,
const at::Tensor trans, const at::Tensor top_count, at::Tensor in_grad,
at::Tensor trans_grad, const int batch, const int channels,
const int height, const int width, const int num_bbox,
const int channels_trans, const int no_trans, const float spatial_scale,
const int output_dim, const int group_size, const int pooled_size,
const int part_size, const int sample_per_part, const float trans_std);
void deform_psroi_pooling_cuda_forward(
at::Tensor input, at::Tensor bbox, at::Tensor trans, at::Tensor out,
at::Tensor top_count, const int no_trans, const float spatial_scale,
const int output_dim, const int group_size, const int pooled_size,
const int part_size, const int sample_per_part, const float trans_std)
{
TORCH_CHECK(input.is_contiguous(), "input tensor has to be contiguous");
const int batch = input.size(0);
const int channels = input.size(1);
const int height = input.size(2);
const int width = input.size(3);
const int channels_trans = no_trans ? 2 : trans.size(1);
const int num_bbox = bbox.size(0);
if (num_bbox != out.size(0))
AT_ERROR("Output shape and bbox number wont match: (%d vs %d).",
out.size(0), num_bbox);
DeformablePSROIPoolForward(
input, bbox, trans, out, top_count, batch, channels, height, width,
num_bbox, channels_trans, no_trans, spatial_scale, output_dim, group_size,
pooled_size, part_size, sample_per_part, trans_std);
}
void deform_psroi_pooling_cuda_backward(
at::Tensor out_grad, at::Tensor input, at::Tensor bbox, at::Tensor trans,
at::Tensor top_count, at::Tensor input_grad, at::Tensor trans_grad,
const int no_trans, const float spatial_scale, const int output_dim,
const int group_size, const int pooled_size, const int part_size,
const int sample_per_part, const float trans_std)
{
TORCH_CHECK(out_grad.is_contiguous(), "out_grad tensor has to be contiguous");
TORCH_CHECK(input.is_contiguous(), "input tensor has to be contiguous");
const int batch = input.size(0);
const int channels = input.size(1);
const int height = input.size(2);
const int width = input.size(3);
const int channels_trans = no_trans ? 2 : trans.size(1);
const int num_bbox = bbox.size(0);
if (num_bbox != out_grad.size(0))
AT_ERROR("Output shape and bbox number wont match: (%d vs %d).",
out_grad.size(0), num_bbox);
DeformablePSROIPoolBackwardAcc(
out_grad, input, bbox, trans, top_count, input_grad, trans_grad, batch,
channels, height, width, num_bbox, channels_trans, no_trans,
spatial_scale, output_dim, group_size, pooled_size, part_size,
sample_per_part, trans_std);
}
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