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Version:
2.2.0 ▾
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// Copyright (c) OpenMMLab. All rights reserved
#include <parrots/compute/aten.hpp>
#include <parrots/extension.hpp>
#include <parrots/foundation/ssattrs.hpp>
#include "rotated_feature_align_pytorch.h"
using namespace parrots;
#ifdef MMCV_WITH_CUDA
void rotated_feature_align_forward_cuda_parrots(
CudaContext& ctx, const SSElement& attr, const OperatorBase::in_list_t& ins,
OperatorBase::out_list_t& outs) {
float spatial_scale;
int points;
SSAttrs(attr)
.get<float>("spatial_scale", spatial_scale)
.get<int>("points", points)
.done();
auto features = buildATensor(ctx, ins[0]);
auto best_bboxes = buildATensor(ctx, ins[1]);
auto output = buildATensor(ctx, outs[0]);
rotated_feature_align_forward(features, best_bboxes, output, spatial_scale,
points);
}
void rotated_feature_align_backward_cuda_parrots(
CudaContext& ctx, const SSElement& attr, const OperatorBase::in_list_t& ins,
OperatorBase::out_list_t& outs) {
float spatial_scale;
int points;
SSAttrs(attr)
.get<float>("spatial_scale", spatial_scale)
.get<int>("points", points)
.done();
auto grad_output = buildATensor(ctx, ins[0]);
auto best_bboxes = buildATensor(ctx, ins[1]);
auto grad_input = buildATensor(ctx, outs[0]);
rotated_feature_align_backward(grad_output, best_bboxes, grad_input,
spatial_scale, points);
}
#endif
void rotated_feature_align_forward_cpu_parrots(
HostContext& ctx, const SSElement& attr, const OperatorBase::in_list_t& ins,
OperatorBase::out_list_t& outs) {
float spatial_scale;
int points;
SSAttrs(attr)
.get<float>("spatial_scale", spatial_scale)
.get<int>("points", points)
.done();
auto features = buildATensor(ctx, ins[0]);
auto best_bboxes = buildATensor(ctx, ins[1]);
auto output = buildATensor(ctx, outs[0]);
rotated_feature_align_forward(features, best_bboxes, output, spatial_scale,
points);
}
void rotated_feature_align_backward_cpu_parrots(
HostContext& ctx, const SSElement& attr, const OperatorBase::in_list_t& ins,
OperatorBase::out_list_t& outs) {
float spatial_scale;
int points;
SSAttrs(attr)
.get<float>("spatial_scale", spatial_scale)
.get<int>("points", points)
.done();
auto grad_output = buildATensor(ctx, ins[0]);
auto best_bboxes = buildATensor(ctx, ins[1]);
auto grad_input = buildATensor(ctx, outs[0]);
rotated_feature_align_backward(grad_output, best_bboxes, grad_input,
spatial_scale, points);
}
PARROTS_EXTENSION_REGISTER(rotated_feature_align_forward)
.attr("spatial_scale")
.attr("points")
.input(2)
.output(1)
.apply(rotated_feature_align_forward_cpu_parrots)
#ifdef MMCV_WITH_CUDA
.apply(rotated_feature_align_forward_cuda_parrots)
#endif
.done();
PARROTS_EXTENSION_REGISTER(rotated_feature_align_backward)
.attr("spatial_scale")
.attr("points")
.input(2)
.output(1)
.apply(rotated_feature_align_backward_cpu_parrots)
#ifdef MMCV_WITH_CUDA
.apply(rotated_feature_align_backward_cuda_parrots)
#endif
.done();