wehub-resource-sync
63 lines
2.1 KiB
C++
63 lines
2.1 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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#pragma once
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#include "paddle/phi/core/dense_tensor.h"
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namespace phi {
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template <typename T, typename Context>
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void PriorBoxKernel(const Context& dev_ctx,
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const DenseTensor& input,
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const DenseTensor& image,
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const std::vector<float>& min_sizes,
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const std::vector<float>& max_sizes,
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const std::vector<float>& aspect_ratios,
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const std::vector<float>& variances,
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bool flip,
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bool clip,
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float step_w,
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float step_h,
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float offset,
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bool min_max_aspect_ratios_order,
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DenseTensor* out,
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DenseTensor* var);
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inline void ExpandAspectRatios(const std::vector<float>& input_aspect_ratio,
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bool flip,
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std::vector<float>* output_aspect_ratio) {
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constexpr float epsilon = 1e-6;
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output_aspect_ratio->clear();
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output_aspect_ratio->push_back(1.0f);
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for (size_t i = 0; i < input_aspect_ratio.size(); ++i) {
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float ar = input_aspect_ratio[i];
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bool already_exist = false;
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for (size_t j = 0; j < output_aspect_ratio->size(); ++j) {
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if (fabs(ar - output_aspect_ratio->at(j)) < epsilon) {
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already_exist = true;
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break;
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}
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}
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if (!already_exist) {
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output_aspect_ratio->push_back(ar);
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if (flip) {
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output_aspect_ratio->push_back(1.0f / ar);
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}
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}
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}
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}
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} // namespace phi
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