text: //*****************************************************************************
  // Copyright 2017-2020 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 "util/all_close_f.hpp"
  #include "util/ndarray.hpp"
  
  using namespace ngraph;
  using namespace std;
  
  TEST(cpu_codegen, abc)
  {
      Shape shape{2, 2};
      auto A = make_shared<op::v0::Parameter>(element::f32, shape);
      auto B = make_shared<op::v0::Parameter>(element::f32, shape);
      auto C = make_shared<op::v0::Parameter>(element::f32, shape);
      auto f = make_shared<Function>((A + B) * C, ParameterVector{A, B, C});
  
      auto backend = runtime::Backend::create("CPU");
  
      // Create some tensors for input/output
      shared_ptr<runtime::Tensor> a = backend->create_tensor(element::f32, shape);
      shared_ptr<runtime::Tensor> b = backend->create_tensor(element::f32, shape);
      shared_ptr<runtime::Tensor> c = backend->create_tensor(element::f32, shape);
      shared_ptr<runtime::Tensor> result = backend->create_tensor(element::f32, shape);
  
      copy_data(a, test::NDArray<float, 2>({{1, 2}, {3, 4}}).get_vector());
      copy_data(b, test::NDArray<float, 2>({{5, 6}, {7, 8}}).get_vector());
      copy_data(c, test::NDArray<float, 2>({{9, 10}, {11, 12}}).get_vector());
  
      ngraph::pass::PassConfig pass_config;
      pass_config.set_pass_attribute("CODEGEN", true);
      auto handle = backend->compile(f, pass_config);
      handle->call_with_validate({result}, {a, b, c});
      EXPECT_TRUE(test::all_close_f(read_vector<float>(result),
                                    (test::NDArray<float, 2>({{54, 80}, {110, 144}})).get_vector(),
                                    MIN_FLOAT_TOLERANCE_BITS));
  
      handle->call_with_validate({result}, {b, a, c});
      EXPECT_TRUE(test::all_close_f(read_vector<float>(result),
                                    (test::NDArray<float, 2>({{54, 80}, {110, 144}})).get_vector(),
                                    MIN_FLOAT_TOLERANCE_BITS));
  
      handle->call_with_validate({result}, {a, c, b});
      EXPECT_TRUE(test::all_close_f(read_vector<float>(result),
                                    (test::NDArray<float, 2>({{50, 72}, {98, 128}})).get_vector(),
                                    MIN_FLOAT_TOLERANCE_BITS));
  }
  