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//*****************************************************************************
// Copyright 2017-2019 Intel Corporation
//
// 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 <functional>
#include <random>
#include "ngraph/type/element_type.hpp"
#include "test_tools.hpp"
namespace ngraph
{
namespace test
{
/// \brief A predictable pseudo-random number generator
/// The seed is initialized so that we get repeatable pseudo-random numbers for tests
template <typename T>
class Uniform
{
public:
Uniform(T min, T max, T seed = 0)
: m_engine(seed)
, m_distribution(min, max)
, m_r(std::bind(m_distribution, m_engine))
{
}
/// \brief Randomly initialize a tensor
/// \param ptv The tensor to initialize
const std::shared_ptr<runtime::Tensor>
initialize(const std::shared_ptr<runtime::Tensor>& ptv)
{
std::vector<T> vec = read_vector<T>(ptv);
initialize(vec);
write_vector(ptv, vec);
return ptv;
}
/// \brief Randomly initialize a vector
/// \param vec The tensor to initialize
void initialize(std::vector<T>& vec)
{
for (T& elt : vec)
{
elt = m_r();
}
}
protected:
std::default_random_engine m_engine;
std::uniform_real_distribution<T> m_distribution;
std::function<T()> m_r;
};
}
}