forked from PulseFocusPlatform/PulseFocusPlatform
47 lines
1.8 KiB
C++
47 lines
1.8 KiB
C++
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/* Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#include "paddle/extension.h"
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#include <vector>
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std::vector<paddle::Tensor> RboxIouCPUForward(const paddle::Tensor& rbox1, const paddle::Tensor& rbox2);
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std::vector<paddle::Tensor> RboxIouCUDAForward(const paddle::Tensor& rbox1, const paddle::Tensor& rbox2);
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#define CHECK_INPUT_SAME(x1, x2) PD_CHECK(x1.place() == x2.place(), "input must be smae pacle.")
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std::vector<paddle::Tensor> RboxIouForward(const paddle::Tensor& rbox1, const paddle::Tensor& rbox2) {
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CHECK_INPUT_SAME(rbox1, rbox2);
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if (rbox1.place() == paddle::PlaceType::kCPU) {
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return RboxIouCPUForward(rbox1, rbox2);
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}
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else if (rbox1.place() == paddle::PlaceType::kGPU) {
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return RboxIouCUDAForward(rbox1, rbox2);
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}
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}
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std::vector<std::vector<int64_t>> InferShape(std::vector<int64_t> rbox1_shape, std::vector<int64_t> rbox2_shape) {
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return {{rbox1_shape[0], rbox2_shape[0]}};
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}
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std::vector<paddle::DataType> InferDtype(paddle::DataType t1, paddle::DataType t2) {
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return {t1};
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}
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PD_BUILD_OP(rbox_iou)
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.Inputs({"RBOX1", "RBOX2"})
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.Outputs({"Output"})
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.SetKernelFn(PD_KERNEL(RboxIouForward))
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.SetInferShapeFn(PD_INFER_SHAPE(InferShape))
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.SetInferDtypeFn(PD_INFER_DTYPE(InferDtype));
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