/******************************************************************************* * 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 <exception> #include <list> #include <memory> #include "ngraph/descriptor/layout/tensor_view_layout.hpp" #include "ngraph/file_util.hpp" #include "ngraph/log.hpp" #include "ngraph/runtime/tensor_view.hpp" #include "ngraph/serializer.hpp" #define SKIP_TEST_FOR(backend_to_skip, current_backend) \ if (backend_to_skip == current_backend) \ { \ NGRAPH_INFO << "Skipped test for " << current_backend; \ return; \ } #define ONLY_ENABLE_TEST_FOR(backend_to_enable, current_backend) \ if (backend_to_enable != current_backend) \ { \ NGRAPH_INFO << "Skipped test for " << current_backend; \ return; \ } namespace ngraph { class Node; class Function; } bool validate_list(const std::list<std::shared_ptr<ngraph::Node>>& nodes); std::shared_ptr<ngraph::Function> make_test_graph(); template <typename T> void copy_data(std::shared_ptr<ngraph::runtime::TensorView> tv, const std::vector<T>& data) { size_t data_size = data.size() * sizeof(T); tv->write(data.data(), 0, data_size); } template <typename T> std::vector<T> read_vector(std::shared_ptr<ngraph::runtime::TensorView> tv) { if (ngraph::element::from<T>() != tv->get_tensor_view_layout()->get_element_type()) { throw std::invalid_argument("read_vector type must match TensorView type"); } size_t element_count = ngraph::shape_size(tv->get_shape()); size_t size = element_count * sizeof(T); std::vector<T> rc(element_count); tv->read(rc.data(), 0, size); return rc; } template <typename T> void write_vector(std::shared_ptr<ngraph::runtime::TensorView> tv, const std::vector<T>& values) { tv->write(values.data(), 0, values.size() * sizeof(T)); } template <typename T> size_t count_ops_of_type(std::shared_ptr<ngraph::Function> f) { size_t count = 0; for (auto op : f->get_ops()) { if (std::dynamic_pointer_cast<T>(op)) { count++; } } return count; }