// 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 #include #include #include #include #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 int kBoxDim = 4; template inline std::vector GetLodFromRoisNum(const Context& dev_ctx, const DenseTensor* rois_num) { std::vector rois_lod; auto* rois_num_data = rois_num->data(); DenseTensor cpu_tensor; if (paddle::platform::is_gpu_place(rois_num->place()) || paddle::platform::is_xpu_place(rois_num->place())) { Copy(dev_ctx, *rois_num, phi::CPUPlace(), true, &cpu_tensor); rois_num_data = cpu_tensor.data(); } rois_lod.push_back(static_cast(0)); for (int i = 0; i < rois_num->numel(); ++i) { rois_lod.push_back(rois_lod.back() + static_cast(rois_num_data[i])); } return rois_lod; } template 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(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