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80 lines
2.6 KiB
80 lines
2.6 KiB
/* Copyright (c) 2016 Baidu, Inc. 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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#pragma once
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#include <gtest/gtest.h>
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#include "paddle/math/Matrix.h"
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namespace paddle {
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std::string randStr(const int len);
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inline int uniformRandom(int n) { return n == 0 ? 0 : rand() % n; }
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inline bool approximatelyEqual(float a, float b, float epsilon) {
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return fabs(a - b) <= ((fabs(a) < fabs(b) ? fabs(b) : fabs(a)) * epsilon);
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}
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MatrixPtr makeRandomSparseMatrix(size_t height, size_t width, bool withValue,
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bool useGpu, bool equalNnzPerSample = false);
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/**
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* @brief generate sequenceStartPositions for INPUT_SEQUENCE_DATA,
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* INPUT_HASSUB_SEQUENCE_DATA and INPUT_SEQUENCE_LABEL
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*
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* @param batchSize batchSize
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* sequenceStartPositions[out] generation output
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*/
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void generateSequenceStartPositions(size_t batchSize,
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IVectorPtr& sequenceStartPositions);
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void generateSequenceStartPositions(size_t batchSize,
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ICpuGpuVectorPtr& sequenceStartPositions);
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/**
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* @brief generate subSequenceStartPositions for INPUT_HASSUB_SEQUENCE_DATA
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* according to sequenceStartPositions
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*
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* @param sequenceStartPositions[in] input
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* subSequenceStartPositions[out] generation output
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*/
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void generateSubSequenceStartPositions(
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const IVectorPtr& sequenceStartPositions,
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IVectorPtr& subSequenceStartPositions);
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void generateSubSequenceStartPositions(
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const ICpuGpuVectorPtr& sequenceStartPositions,
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ICpuGpuVectorPtr& subSequenceStartPositions);
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/**
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* @brief generate cpuSequenceDims for INPUT_SEQUENCE_MDIM_DATA according to
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* sequenceStartPositions
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*
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* @param sequenceStartPositions[in] input
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* cpuSequenceDims[out] generation output
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*/
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void generateMDimSequenceData(
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const IVectorPtr& sequenceStartPositions,
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IVectorPtr& cpuSequenceDims);
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void generateMDimSequenceData(
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const ICpuGpuVectorPtr& sequenceStartPositions,
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IVectorPtr& cpuSequenceDims);
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void checkMatrixEqual(const MatrixPtr& a, const MatrixPtr& b);
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void checkVectorEqual(const IVectorPtr& a, const IVectorPtr& b);
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} // namespace paddle
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