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// Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#pragma once
#include <torch/extension.h>
at::Tensor SigmoidFocalLoss_forward_cuda(
const at::Tensor& logits,
const at::Tensor& targets,
const int num_classes,
const float gamma,
const float alpha);
at::Tensor SigmoidFocalLoss_backward_cuda(
const at::Tensor& logits,
const at::Tensor& targets,
const at::Tensor& d_losses,
const int num_classes,
const float gamma,
const float alpha);
at::Tensor ROIAlign_forward_cuda(const at::Tensor& input,
const at::Tensor& rois,
const float spatial_scale,
const int pooled_height,
const int pooled_width,
const int sampling_ratio);
at::Tensor ROIAlign_backward_cuda(const at::Tensor& grad,
const at::Tensor& rois,
const float spatial_scale,
const int pooled_height,
const int pooled_width,
const int batch_size,
const int channels,
const int height,
const int width,
const int sampling_ratio);
std::tuple<at::Tensor, at::Tensor> ROIPool_forward_cuda(const at::Tensor& input,
const at::Tensor& rois,
const float spatial_scale,
const int pooled_height,
const int pooled_width);
at::Tensor ROIPool_backward_cuda(const at::Tensor& grad,
const at::Tensor& input,
const at::Tensor& rois,
const at::Tensor& argmax,
const float spatial_scale,
const int pooled_height,
const int pooled_width,
const int batch_size,
const int channels,
const int height,
const int width);
at::Tensor nms_cuda(const at::Tensor boxes, float nms_overlap_thresh);
at::Tensor ml_nms_cuda(const at::Tensor boxes, float nms_overlap_thresh);
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);
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);
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);
at::Tensor compute_flow_cuda(const at::Tensor& boxes,
const int height,
const int width);
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