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paddlepaddle--paddle/paddle/phi/kernels/funcs/distribute_fpn_proposals_functor.h
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2026-07-13 12:40:42 +08:00

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// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#pragma once
#include <algorithm>
#include <cmath>
#include <cstring>
#include <string>
#include <vector>
#include "paddle/phi/common/place.h"
#include "paddle/phi/core/tensor_utils.h"
#include "paddle/phi/kernels/funcs/math_function.h"
namespace phi {
namespace funcs {
const int64_t kBoxDim = 4;
template <typename Context>
inline std::vector<size_t> GetLodFromRoisNum(const Context& dev_ctx,
const DenseTensor* rois_num) {
std::vector<size_t> rois_lod;
if (rois_num->dtype() == DataType::INT64) {
auto* rois_num_data = rois_num->data<int64_t>();
DenseTensor cpu_tensor;
if (rois_num->place().GetType() == AllocationType::GPU ||
rois_num->place().GetType() == AllocationType::XPU) {
Copy<Context>(dev_ctx, *rois_num, CPUPlace(), true, &cpu_tensor);
rois_num_data = cpu_tensor.data<int64_t>();
}
rois_lod.push_back(static_cast<size_t>(0));
for (int64_t i = 0; i < rois_num->numel(); ++i) {
rois_lod.push_back(rois_lod.back() +
static_cast<size_t>(rois_num_data[i]));
}
} else if (rois_num->dtype() == DataType::INT32) {
auto* rois_num_data = rois_num->data<int>();
DenseTensor cpu_tensor;
if (rois_num->place().GetType() == AllocationType::GPU ||
rois_num->place().GetType() == AllocationType::XPU) {
Copy<Context>(dev_ctx, *rois_num, CPUPlace(), true, &cpu_tensor);
rois_num_data = cpu_tensor.data<int>();
}
rois_lod.push_back(static_cast<size_t>(0));
for (size_t i = 0; i < rois_num->numel(); ++i) {
rois_lod.push_back(rois_lod.back() +
static_cast<size_t>(rois_num_data[i]));
}
}
return rois_lod;
}
template <typename T>
static inline T BBoxArea(const T* box, bool pixel_offset) {
if (box[2] < box[0] || box[3] < box[1]) {
// If coordinate values are is invalid
// (e.g. xmax < xmin or ymax < ymin), return 0.
return static_cast<T>(0.);
} else {
const T w = box[2] - box[0];
const T h = box[3] - box[1];
if (pixel_offset) {
// If coordinate values are not within range [0, 1].
return (w + 1) * (h + 1);
} else {
return w * h;
}
}
}
} // namespace funcs
} // namespace phi