// 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 "fastdeploy/core/fd_tensor.h" namespace fastdeploy { namespace function { /** * @brief Performs sorting on the input tensor along the given axis and outputs * two tensors, Output(Out) and Output(Indices). They reserve the same * shape with Input(X), and Output(Out) represents the sorted tensor * while Output(Indices) gives the sorted order along the given axis * Attr(axis). * @param x The input of sort * @param out The sorted tensor of sort op, with the same shape as * x * @param indices The indices of a tensor giving the sorted order, with * the same shape as x * @param axis The axis along which to sort the tensor. * When axis < 0, the actual axis will be the |axis|'th * counting backwards * @param descending The descending attribute is a flag to tell * algorithm how to sort the input data. * If descending is true, will sort by descending order, * else if false, sort by ascending order * @param indices_type The data type of indices, default to int64 */ FASTDEPLOY_DECL void Sort(const FDTensor& x, FDTensor* out, FDTensor* indices, int axis = 0, bool descending = false, FDDataType indices_type = FDDataType::INT64); } // namespace function } // namespace fastdeploy