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88 lines
3.2 KiB
88 lines
3.2 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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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#ifndef HL_TOP_K_H_
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#define HL_TOP_K_H_
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#include "hl_base.h"
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/**
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* @brief find top k element.
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*
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* @param[out] topVal top k element.
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* @param[in] ldv leading dimension of topVal.
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* @param[out] topIds top k index.
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* @param[in] src input value.
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* @param[in] lds leading dimension of src.
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* @param[in] dim width of input value.
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* @param[in] beamSize beam size.
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* @param[in] numSamples height of input value.
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*
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*/
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extern void hl_matrix_top_k(real* topVal,
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int ldv,
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int* topIds,
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real* src,
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int lds,
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int dim,
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int beamSize,
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int numSamples);
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/**
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* @brief find top k element for each row in sparse matrix.
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*
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* @param[out] topVal top k element.
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* @param[in] ldv leading dimension of topVal.
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* @param[out] topIds top k index.
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* @param[in] src sparse matrix.
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* @param[in] beamSize beam size.
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* @param[in] numSamples height of input value.
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*
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* @note Only support HL_SPARSE_CSR format.
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*/
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extern void hl_sparse_matrix_top_k(real* topVal,
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int ldv,
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int* topIds,
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hl_sparse_matrix_s src,
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int beamSize,
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int numSamples);
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/**
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* @brief Matrix classification error.
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*
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* @param[out] topVal top k element.
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* @param[in] ldv leading dimension of topVal.
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* @param[out] topIds top k index.
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* @param[in] src input value.
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* @param[in] lds leading dimension of src.
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* @param[in] dim width of input value.
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* @param[in] topkSize size of top k element.
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* @param[in] numSamples height of input value.
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* @param[in] label ground truth label.
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* @param[out] recResult top-k classification error.
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*
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*/
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extern void hl_matrix_classification_error(real* topVal,
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int ldv,
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int* topIds,
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real* src,
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int lds,
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int dim,
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int topkSize,
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int numSamples,
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int* label,
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real* recResult);
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#endif // HL_TOP_K_H_
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