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#pragma once
#include "cpu/vision.h"
#ifdef WITH_CUDA
#include "cuda/vision.h"
#endif
at::Tensor
dcn_v2_forward(const at::Tensor &input,
const at::Tensor &weight,
const at::Tensor &bias,
const at::Tensor &offset,
const at::Tensor &mask,
const int kernel_h,
const 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 deformable_group)
{
if (input.type().is_cuda())
{
#ifdef WITH_CUDA
return dcn_v2_cuda_forward(input, weight, bias, offset, mask,
kernel_h, kernel_w,
stride_h, stride_w,
pad_h, pad_w,
dilation_h, dilation_w,
deformable_group);
#else
AT_ERROR("Not compiled with GPU support");
#endif
}
AT_ERROR("Not implemented on the CPU");
}
std::vector<at::Tensor>
dcn_v2_backward(const at::Tensor &input,
const at::Tensor &weight,
const at::Tensor &bias,
const at::Tensor &offset,
const at::Tensor &mask,
const 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 deformable_group)
{
if (input.type().is_cuda())
{
#ifdef WITH_CUDA
return dcn_v2_cuda_backward(input,
weight,
bias,
offset,
mask,
grad_output,
kernel_h, kernel_w,
stride_h, stride_w,
pad_h, pad_w,
dilation_h, dilation_w,
deformable_group);
#else
AT_ERROR("Not compiled with GPU support");
#endif
}
AT_ERROR("Not implemented on the CPU");
}
std::tuple<at::Tensor, at::Tensor>
dcn_v2_psroi_pooling_forward(const at::Tensor &input,
const at::Tensor &bbox,
const at::Tensor &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)
{
if (input.type().is_cuda())
{
#ifdef WITH_CUDA
return dcn_v2_psroi_pooling_cuda_forward(input,
bbox,
trans,
no_trans,
spatial_scale,
output_dim,
group_size,
pooled_size,
part_size,
sample_per_part,
trans_std);
#else
AT_ERROR("Not compiled with GPU support");
#endif
}
AT_ERROR("Not implemented on the CPU");
}
std::tuple<at::Tensor, at::Tensor>
dcn_v2_psroi_pooling_backward(const at::Tensor &out_grad,
const at::Tensor &input,
const at::Tensor &bbox,
const at::Tensor &trans,
const 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)
{
if (input.type().is_cuda())
{
#ifdef WITH_CUDA
return dcn_v2_psroi_pooling_cuda_backward(out_grad,
input,
bbox,
trans,
top_count,
no_trans,
spatial_scale,
output_dim,
group_size,
pooled_size,
part_size,
sample_per_part,
trans_std);
#else
AT_ERROR("Not compiled with GPU support");
#endif
}
AT_ERROR("Not implemented on the CPU");
}
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