text: //*****************************************************************************
  // Copyright 2017-2021 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.
  //*****************************************************************************
  
  #include "gtest/gtest.h"
  #include "ngraph/ngraph.hpp"
  #include "onnx_import/onnx.hpp"
  #include "onnx_import/onnx_utils.hpp"
  #include "util/test_case.hpp"
  #include "util/test_control.hpp"
  
  NGRAPH_SUPPRESS_DEPRECATED_START
  
  using namespace ngraph;
  
  static std::string s_manifest = "${MANIFEST}";
  
  using Inputs = std::vector<std::vector<float>>;
  using Outputs = std::vector<std::vector<float>>;
  
  NGRAPH_TEST(onnx_tensor_names, simple_model)
  {
      auto function = onnx_import::import_onnx_model(
          file_util::path_join(SERIALIZED_ZOO, "onnx/tensor_names.prototxt"));
  
      auto ops = function->get_ordered_ops();
      ASSERT_EQ(ops[0]->get_friendly_name(), "input");
      ASSERT_EQ(ops[0]->get_output_tensor(0).get_names(), std::unordered_set<std::string>{"input"});
      ASSERT_EQ(ops[1]->get_friendly_name(), "relu_t");
      ASSERT_EQ(ops[1]->get_output_tensor(0).get_names(), std::unordered_set<std::string>{"relu_t"});
      // ops[2] is a constant created in the ONNX importer as part of Identity operator
      ASSERT_EQ(ops[3]->get_friendly_name(), "final_output");
      ASSERT_EQ(ops[3]->get_output_tensor(0).get_names(),
                std::unordered_set<std::string>{"final_output"});
      ASSERT_EQ(ops[4]->get_friendly_name(), "final_output");
  
      ASSERT_EQ(function->get_result()->get_input_tensor(0).get_names(),
                std::unordered_set<std::string>{"final_output"});
      ASSERT_EQ(function->get_result()->input_value(0).get_tensor().get_names(),
                std::unordered_set<std::string>{"final_output"});
  }
  
  NGRAPH_TEST(onnx_tensor_names, node_multiple_outputs)
  {
      auto function =
          onnx_import::import_onnx_model(file_util::path_join(SERIALIZED_ZOO, "onnx/top_k.prototxt"));
  
      auto ops = function->get_ordered_ops();
  
      ASSERT_EQ(ops[0]->get_friendly_name(), "x");
      ASSERT_EQ(ops[0]->get_output_tensor(0).get_names(), std::unordered_set<std::string>{"x"});
      // ops[1] is a constant created in the ONNX importer as part of TopK operator(K value)
      ASSERT_EQ(ops[2]->get_friendly_name(), "indices");
      ASSERT_EQ(ops[2]->get_output_tensor(0).get_names(), std::unordered_set<std::string>{"values"});
      ASSERT_EQ(ops[2]->get_output_tensor(1).get_names(), std::unordered_set<std::string>{"indices"});
      // result nodes are generated in different order than function results.
      ASSERT_EQ(ops[3]->get_friendly_name(), "indices");
      ASSERT_EQ(ops[4]->get_friendly_name(), "values");
  
      ASSERT_EQ(function->get_results()[0]->get_input_tensor(0).get_names(),
                std::unordered_set<std::string>{"values"});
      ASSERT_EQ(function->get_results()[1]->get_input_tensor(0).get_names(),
                std::unordered_set<std::string>{"indices"});
      ASSERT_EQ(function->get_results()[0]->input_value(0).get_tensor().get_names(),
                std::unordered_set<std::string>{"values"});
      ASSERT_EQ(function->get_results()[1]->input_value(0).get_tensor().get_names(),
                std::unordered_set<std::string>{"indices"});
  }
  