/******************************************************************************* * Copyright 2017-2018 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::TensorView> initialize(const std::shared_ptr<runtime::TensorView>& ptv) { std::vector<T> vec = read_vector<T>(ptv); for (T& elt : vec) { elt = m_r(); } write_vector(ptv, vec); return ptv; } protected: std::default_random_engine m_engine; std::uniform_real_distribution<T> m_distribution; std::function<T()> m_r; }; } }