wehub-resource-sync
54 lines
2.3 KiB
C++
54 lines
2.3 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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/**
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* @brief Performs sorting on the input tensor along the given axis and outputs
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* two tensors, Output(Out) and Output(Indices). They reserve the same
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* shape with Input(X), and Output(Out) represents the sorted tensor
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* while Output(Indices) gives the sorted order along the given axis
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* Attr(axis).
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* @param ctx device context
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* @param x The input of Argsort
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* @param axis The axis along which to sort the tensor.
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* When axis < 0, the actual axis will be the |axis|'th
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* counting backwards
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* @param descending The descending attribute is a flag to tell
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* algorithm how to sort the input data.
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* If descending is true, will sort by descending order,
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* else if false, sort by ascending order
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* @param stable Indicate whether to use stable sorting algorithm, which
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* guarantees that the order of equivalent elements is
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* preserved.
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* @param out The sorted tensor of Argsort op, with the same shape as
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* x
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* @param indices The indices of a tensor giving the sorted order, with
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* the same shape as x
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*/
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template <typename T, typename Context>
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void ArgsortKernel(const Context& dev_ctx,
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const DenseTensor& input,
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int axis,
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bool descending,
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bool stable,
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DenseTensor* output,
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DenseTensor* indices);
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} // namespace phi
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