// Copyright (c) 2019 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. #include "lite/kernels/arm/yolo_box_compute.h" #include #include "lite/arm/math/funcs.h" #include "lite/core/tensor.h" namespace paddle { namespace lite { namespace kernels { namespace arm { void YoloBoxCompute::Run() { auto& param = Param(); lite::Tensor* X = param.X; lite::Tensor* ImgSize = param.ImgSize; lite::Tensor* Boxes = param.Boxes; lite::Tensor* Scores = param.Scores; std::vector anchors = param.anchors; int class_num = param.class_num; float conf_thresh = param.conf_thresh; int downsample_ratio = param.downsample_ratio; lite::arm::math::yolobox(X, ImgSize, Boxes, Scores, anchors, class_num, conf_thresh, downsample_ratio); } } // namespace arm } // namespace kernels } // namespace lite } // namespace paddle REGISTER_LITE_KERNEL(yolo_box, kARM, kFloat, kNCHW, paddle::lite::kernels::arm::YoloBoxCompute, def) .BindInput("X", {LiteType::GetTensorTy(TARGET(kARM))}) .BindInput("ImgSize", {LiteType::GetTensorTy(TARGET(kARM))}) .BindOutput("Boxes", {LiteType::GetTensorTy(TARGET(kARM))}) .BindOutput("Scores", {LiteType::GetTensorTy(TARGET(kARM))}) .Finalize();