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/type_prop.hpp"
  
  using namespace std;
  using namespace ngraph;
  
  TEST(type_prop, lrn_invalid_axes_rank)
  {
      auto data = make_shared<op::Parameter>(element::f32, Shape{1, 2, 3, 4});
      auto axes = make_shared<op::Parameter>(element::f32, Shape{1, 2});
      double alpha = 0.1, beta = 0.2, bias = 0.3;
      size_t size = 3;
      try
      {
          auto lrn = make_shared<op::LRN>(data, axes, alpha, beta, bias, size);
          // Should have thrown, so fail if it didn't
          FAIL() << "Invalid input tensor rank not detected";
      }
      catch (const NodeValidationFailure& error)
      {
          EXPECT_HAS_SUBSTRING(error.what(), std::string("Input axes must have rank equals 1"));
      }
      catch (...)
      {
          FAIL() << "Deduced type check failed for unexpected reason";
      }
  
      axes = make_shared<op::Parameter>(element::f32, Shape{5});
      try
      {
          auto lrn = make_shared<op::LRN>(data, axes, alpha, beta, bias, size);
          // Should have thrown, so fail if it didn't
          FAIL() << "Invalid input tensor rank not detected";
      }
      catch (const NodeValidationFailure& error)
      {
          EXPECT_HAS_SUBSTRING(
              error.what(),
              std::string("Number of elements of axes must be >= 0 and <= argument rank"));
      }
      catch (...)
      {
          FAIL() << "Deduced type check failed for unexpected reason";
      }
  }
  
  TEST(type_prop, lrn_incorrect_axes_value)
  {
      auto data = make_shared<op::Parameter>(element::f32, Shape{1, 2, 3});
      auto axes = make_shared<op::Constant>(element::i64, Shape{2}, vector<int64_t>{3, 4});
      double alpha = 0.1, beta = 0.2, bias = 0.3;
      size_t size = 3;
      try
      {
          auto lrn = make_shared<op::LRN>(data, axes, alpha, beta, bias, size);
          // Should have thrown, so fail if it didn't
          FAIL() << "Invalid input tensor rank not detected";
      }
      catch (const NodeValidationFailure& error)
      {
          EXPECT_HAS_SUBSTRING(error.what(), std::string("Reduction axis ("));
      }
      catch (...)
      {
          FAIL() << "Deduced type check failed for unexpected reason";
      }
  }
  