//***************************************************************************** // 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; }; } }