Repository URL to install this package:
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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 "three_interpolate_pytorch.h"
using namespace parrots;
#ifdef MMCV_WITH_CUDA
void three_interpolate_forward_cuda_parrots(CudaContext& ctx,
const SSElement& attr,
const OperatorBase::in_list_t& ins,
OperatorBase::out_list_t& outs) {
int b, c, m, n;
SSAttrs(attr)
.get<int>("b", b)
.get<int>("c", c)
.get<int>("m", m)
.get<int>("n", n)
.done();
auto points_tensor = buildATensor(ctx, ins[0]);
auto idx_tensor = buildATensor(ctx, ins[1]);
auto weight_tensor = buildATensor(ctx, ins[2]);
auto out_tensor = buildATensor(ctx, outs[0]);
three_interpolate_forward(points_tensor, idx_tensor, weight_tensor,
out_tensor, b, c, m, n);
}
void three_interpolate_backward_cuda_parrots(CudaContext& ctx,
const SSElement& attr,
const OperatorBase::in_list_t& ins,
OperatorBase::out_list_t& outs) {
int b, c, n, m;
SSAttrs(attr)
.get<int>("b", b)
.get<int>("c", c)
.get<int>("n", n)
.get<int>("m", m)
.done();
auto grad_out_tensor = buildATensor(ctx, ins[0]);
auto idx_tensor = buildATensor(ctx, ins[1]);
auto weight_tensor = buildATensor(ctx, ins[2]);
auto grad_points_tensor = buildATensor(ctx, outs[0]);
three_interpolate_backward(grad_out_tensor, idx_tensor, weight_tensor,
grad_points_tensor, b, c, n, m);
}
PARROTS_EXTENSION_REGISTER(three_interpolate_forward)
.attr("b")
.attr("c")
.attr("m")
.attr("n")
.input(3)
.output(1)
.apply(three_interpolate_forward_cuda_parrots)
.done();
PARROTS_EXTENSION_REGISTER(three_interpolate_backward)
.attr("b")
.attr("c")
.attr("n")
.attr("m")
.input(3)
.output(1)
.apply(three_interpolate_backward_cuda_parrots)
.done();
#endif