mirror of
https://github.com/PaddlePaddle/FastDeploy.git
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94 lines
3.5 KiB
C++
94 lines
3.5 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#if defined(WITH_GPU)
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#include "grid_sample_3d.h"
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#include <vector>
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#if defined(PADDLEINFERENCE_API_COMPAT_2_4_x)
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#include "paddle/include/experimental/ext_all.h"
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#elif defined(PADDLEINFERENCE_API_COMPAT_2_5_x)
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#include "paddle/include/paddle/extension.h"
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#else
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#include "paddle/extension.h"
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#endif
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namespace fastdeploy {
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namespace paddle_custom_ops {
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std::vector<paddle::Tensor> GridSample3DCUDAForward(
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const paddle::Tensor& x, const paddle::Tensor& grid,
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const std::string& mode, const std::string& padding_mode,
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bool align_corners);
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std::vector<paddle::Tensor> GridSample3DForward(const paddle::Tensor& x,
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const paddle::Tensor& grid,
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const std::string& mode,
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const std::string& padding_mode,
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bool align_corners) {
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return GridSample3DCUDAForward(x, grid, mode, padding_mode, align_corners);
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}
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std::vector<paddle::Tensor> GridSample3DCUDABackward(
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const paddle::Tensor& x, const paddle::Tensor& grid,
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const paddle::Tensor& grad_out, const std::string& mode,
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const std::string& padding_mode, bool align_corners);
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std::vector<paddle::Tensor> GridSample3DBackward(
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const paddle::Tensor& x, const paddle::Tensor& grid,
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const paddle::Tensor& grad_out, const std::string& mode,
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const std::string& padding_mode, bool align_corners) {
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return GridSample3DCUDABackward(x, grid, grad_out, mode, padding_mode,
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align_corners);
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}
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std::vector<std::vector<int64_t>> GridSample3DInferShape(
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std::vector<int64_t> x_shape, std::vector<int64_t> grid_shape) {
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return {
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{x_shape[0], x_shape[1], grid_shape[1], grid_shape[2], grid_shape[3]}};
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}
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std::vector<std::vector<int64_t>> GridSample3DInferBackShape(
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std::vector<int64_t> x_shape, std::vector<int64_t> grid_shape) {
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return {x_shape};
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}
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std::vector<paddle::DataType> GridSample3DInferDtype(
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paddle::DataType x_dtype, paddle::DataType grid_dtype) {
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return {x_dtype};
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}
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} // namespace fastdeploy
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} // namespace paddle_custom_ops
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PD_BUILD_OP(grid_sample_3d)
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.Inputs({"x", "grid"})
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.Attrs({"mode: std::string", "padding_mode: std::string",
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"align_corners: bool"})
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.Outputs({"out"})
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.SetKernelFn(PD_KERNEL(fastdeploy::paddle_custom_ops::GridSample3DForward))
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.SetInferShapeFn(PD_INFER_SHAPE(fastdeploy::paddle_custom_ops::GridSample3DInferShape))
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.SetInferDtypeFn(PD_INFER_DTYPE(fastdeploy::paddle_custom_ops::GridSample3DInferDtype));
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PD_BUILD_GRAD_OP(grid_sample_3d)
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.Inputs({"x", "grid", paddle::Grad("out")})
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.Attrs({"mode: std::string", "padding_mode: std::string",
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"align_corners: bool"})
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.Outputs({paddle::Grad("x")})
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.SetKernelFn(PD_KERNEL(fastdeploy::paddle_custom_ops::GridSample3DBackward))
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.SetInferShapeFn(PD_INFER_SHAPE(fastdeploy::paddle_custom_ops::GridSample3DInferBackShape));
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#endif |