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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. 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.
*/
#ifndef __GAUSSIAN_FILLER_H__
#define __GAUSSIAN_FILLER_H__
#include "DataChef.h"
/**
* @brief Generate a sequence of random values according to the gaussian(=normal) distribution
*/
class GaussianFloat32DataChef final : public DataChef
{
public:
GaussianFloat32DataChef(float mean, float stddev) : _mean{mean}, _stddev{stddev}
{
// DO NOTHING
}
public:
std::vector<uint8_t> generate(int32_t count) const override;
private:
float _mean;
float _stddev;
};
class GaussianInt32DataChef final : public DataChef
{
public:
GaussianInt32DataChef(float mean, float stddev) : _mean{mean}, _stddev{stddev}
{
// DO NOTHING
}
public:
std::vector<uint8_t> generate(int32_t count) const override;
private:
float _mean;
float _stddev;
};
class GaussianUint8DataChef final : public DataChef
{
public:
GaussianUint8DataChef(float mean, float stddev) : _mean{mean}, _stddev{stddev}
{
// DO NOTHING
}
public:
std::vector<uint8_t> generate(int32_t count) const override;
private:
float _mean;
float _stddev;
};
struct GaussianFloat32DataChefFactory : public DataChefFactory
{
std::unique_ptr<DataChef> create(const Arguments &args) const;
};
struct GaussianInt32DataChefFactory : public DataChefFactory
{
std::unique_ptr<DataChef> create(const Arguments &args) const;
};
struct GaussianUint8DataChefFactory : public DataChefFactory
{
std::unique_ptr<DataChef> create(const Arguments &args) const;
};
#endif // __GAUSSIAN_FILLER_H__
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