text: // Copyright (C) 2018-2021 Intel Corporation
  // SPDX-License-Identifier: Apache-2.0
  //
  
  #include <gtest/gtest.h>
  
  #include "base_reference_test.hpp"
  #include "openvino/op/constant.hpp"
  #include "openvino/op/batch_norm.hpp"
  
  using namespace reference_tests;
  using namespace ov;
  
  namespace {
  
  struct BatchNormParams {
      template <class T>
      BatchNormParams(const Shape& input_shape,
                      const Shape& expected_shape,
                      const element::Type& input_type,
                      const element::Type& expected_type,
                      const std::vector<T>& input_value,
                      const std::vector<T>& expected_value,
                      const std::vector<T>& gamma,
                      const std::vector<T>& beta,
                      const std::vector<T>& mean,
                      const std::vector<T>& variance,
                      const float epsilon)
          : m_input_shape(input_shape),
            m_expected_shape(expected_shape),
            m_input_type(input_type),
            m_expected_type(expected_type),
            m_input_value(CreateTensor(input_type, input_value)),
            m_expected_value(CreateTensor(expected_type, expected_value)),
            m_gamma(CreateTensor(Shape{input_shape.at(1)}, input_type, gamma)),
            m_beta(CreateTensor(Shape{input_shape.at(1)}, input_type, beta)),
            m_mean(CreateTensor(Shape{input_shape.at(1)}, input_type, mean)),
            m_variance(CreateTensor(Shape{input_shape.at(1)}, input_type, variance)),
            m_epsilon(epsilon) {}
  
      Shape m_input_shape;
      Shape m_expected_shape;
      element::Type m_input_type;
      element::Type m_expected_type;
      runtime::Tensor m_input_value;
      runtime::Tensor m_expected_value;
      runtime::Tensor m_gamma;
      runtime::Tensor m_beta;
      runtime::Tensor m_mean;
      runtime::Tensor m_variance;
      float m_epsilon;
  };
  
  class ReferenceBatchNormV0LayerTest : public testing::TestWithParam<BatchNormParams>, public CommonReferenceTest {
  public:
      void SetUp() override {
          const auto params = GetParam();
          function = CreateFunction(params.m_input_shape, params.m_input_type, params.m_epsilon);
          inputData = {params.m_input_value, params.m_gamma, params.m_beta, params.m_mean, params.m_variance};
          refOutData = {params.m_expected_value};
      }
  
      static std::string getTestCaseName(const testing::TestParamInfo<BatchNormParams>& obj) {
          const auto param = obj.param;
          std::ostringstream result;
  
          result << "input_shape=" << param.m_input_shape << "; ";
          result << "output_shape=" << param.m_expected_shape << "; ";
          result << "input_type=" << param.m_input_type << "; ";
          result << "output_type=" << param.m_expected_type << "; ";
          result << "gamma=" << param.m_gamma.data() << "; ";
          result << "beta=" << param.m_beta.data() << "; ";
          result << "mean=" << param.m_mean.data() << "; ";
          result << "variance=" << param.m_variance.data();
  
          return result.str();
      }
  
  private:
      static std::shared_ptr<Model> CreateFunction(const Shape& input_shape,
                                                      const element::Type_t& input_type,
                                                      const float epsilon) {
          Shape channel_shape{input_shape.at(1)};
          auto in = std::make_shared<op::v0::Parameter>(input_type, input_shape);
          auto gamma = std::make_shared<op::v0::Parameter>(input_type, channel_shape);
          auto beta = std::make_shared<op::v0::Parameter>(input_type, channel_shape);
          auto mean = std::make_shared<op::v0::Parameter>(input_type, channel_shape);
          auto variance = std::make_shared<op::v0::Parameter>(input_type, channel_shape);
          auto batch_norm = std::make_shared<op::v0::BatchNormInference>(in, gamma, beta, mean, variance, epsilon);
  
          return std::make_shared<ov::Model>(batch_norm, ParameterVector{in, gamma, beta, mean, variance});
      }
  };
  
  class ReferenceBatchNormV5LayerTest : public ReferenceBatchNormV0LayerTest {
  public:
      void SetUp() override {
          const auto params = GetParam();
          function = CreateFunction(params.m_input_shape, params.m_input_type, params.m_epsilon);
          inputData = {params.m_input_value, params.m_gamma, params.m_beta, params.m_mean, params.m_variance};
          refOutData = {params.m_expected_value};
      }
  
  private:
      static std::shared_ptr<Model> CreateFunction(const Shape& input_shape,
                                                      const element::Type_t& input_type,
                                                      const float epsilon) {
          Shape channel_shape{input_shape.at(1)};
          auto in = std::make_shared<op::v0::Parameter>(input_type, input_shape);
          auto gamma = std::make_shared<op::v0::Parameter>(input_type, channel_shape);
          auto beta = std::make_shared<op::v0::Parameter>(input_type, channel_shape);
          auto mean = std::make_shared<op::v0::Parameter>(input_type, channel_shape);
          auto variance = std::make_shared<op::v0::Parameter>(input_type, channel_shape);
          auto batch_norm = std::make_shared<op::v5::BatchNormInference>(in, gamma, beta, mean, variance, epsilon);
  
          return std::make_shared<ov::Model>(batch_norm, ParameterVector{in, gamma, beta, mean, variance});
      }
  };
  
  TEST_P(ReferenceBatchNormV0LayerTest, CompareWithHardcodedRefs) {
      Exec();
  }
  
  TEST_P(ReferenceBatchNormV5LayerTest, CompareWithHardcodedRefs) {
      Exec();
  }
  
  template <element::Type_t ET>
  std::vector<BatchNormParams> generateParamsForBatchNorm() {
      using T = typename element_type_traits<ET>::value_type;
  
      std::vector<BatchNormParams> params{
       /*------------- 2d --------------*/
          BatchNormParams(Shape{2, 3},
                          Shape{2, 3},
                          ET,
                          ET,
                          std::vector<T>{1, 2, 3, -1, -2, -3},
                          std::vector<T>{2, 6, 12, -2, -6, -12},
                          std::vector<T>{2.0, 3.0, 4.0},
                          std::vector<T>{0.0, 0.0, 0.0},
                          std::vector<T>{0.0, 0.0, 0.0},
                          std::vector<T>{0.75, 0.75, 0.75},
                          0.25),
          BatchNormParams(Shape{2, 3},
                          Shape{2, 3},
                          ET,
                          ET,
                          std::vector<T>{1, 2, 3, -1, -2, -3},
                          std::vector<T>{3, 0, 6, 1, -4, 0},
                          std::vector<T>{1.0, 1.0, 1.0},
                          std::vector<T>{2.0, -2.0, 3.0},
                          std::vector<T>{0.0, 0.0, 0.0},
                          std::vector<T>{0.75, 0.75, 0.75},
                          0.25),
          BatchNormParams(Shape{2, 3},
                          Shape{2, 3},
                          ET,
                          ET,
                          std::vector<T>{1, 2, 3, -1, -2, -3},
                          std::vector<T>{3, 0, 6, 1, -4, 0},
                          std::vector<T>{1.0, 1.0, 1.0},
                          std::vector<T>{0.0, 0.0, 0.0},
                          std::vector<T>{-2.0, 2.0, -3.0},
                          std::vector<T>{0.75, 0.75, 0.75},
                          0.25),
          BatchNormParams(Shape{2, 3},
                          Shape{2, 3},
                          ET,
                          ET,
                          std::vector<T>{3, 5, 1, -3, -5, -1},
                          std::vector<T>{2, 2, 2, -2, -2, -2},
                          std::vector<T>{1.0, 1.0, 1.0},
                          std::vector<T>{0.0, 0.0, 0.0},
                          std::vector<T>{0.0, 0.0, 0.0},
                          std::vector<T>{2.0, 6.0, 0.0},
                          0.25),
       /*------------- 4d --------------*/
          BatchNormParams(Shape{2, 2, 2, 1},
                          Shape{2, 2, 2, 1},
                          ET,
                          ET,
                          std::vector<T>{0.54881352f,
                                         0.71518934f,
                                         0.60276335f,
                                         0.54488319f,
                                         0.42365479f,
                                         0.64589411f,
                                         0.4375872f,
                                         0.89177299f},
                          std::vector<T>{0.54903894f,
                                         0.71533161f,
                                         0.60296183f,
                                         0.54511058f,
                                         0.42394274f,
                                         0.64607101f,
                                         0.43786817f,
                                         0.89182704f},
                          std::vector<T>{1.0, 1.0},
                          std::vector<T>{1.0, 1.0},
                          std::vector<T>{1.0, 1.0},
                          std::vector<T>{1.0, 1.0},
                          0.001),
          BatchNormParams(Shape{2, 2, 2, 1},
                          Shape{2, 2, 2, 1},
                          ET,
                          ET,
                          std::vector<T>{0.54881352f,
                                         0.71518934f,
                                         0.60276335f,
                                         0.54488319f,
                                         0.42365479f,
                                         0.64589411f,
                                         0.4375872f,
                                         0.89177299f},
                          std::vector<T>{-0.30327f,
                                         1.1561f,
                                         -0.096382f,
                                         -0.434702f,
                                         -1.4011f,
                                         0.548275f,
                                         -1.06187f,
                                         1.59295f},
                          std::vector<T>{1.0, 1.0},
                          std::vector<T>{0.0f, 0.0f},
                          std::vector<T>{0.583388f, 0.619252f},
                          std::vector<T>{0.0119972f, 0.0282681f},
                          0.001),
      };
  
      return params;
  }
  
  std::vector<BatchNormParams> generateCombinedParamsForBatchNorm() {
      const std::vector<std::vector<BatchNormParams>> allTypeParams{
          generateParamsForBatchNorm<element::Type_t::f32>(),
          generateParamsForBatchNorm<element::Type_t::f16>()
      };
  
      std::vector<BatchNormParams> combinedParams;
  
      for (const auto& params : allTypeParams) {
          combinedParams.insert(combinedParams.end(), params.begin(), params.end());
      }
  
      return combinedParams;
  }
  
  INSTANTIATE_TEST_SUITE_P(
      smoke_BatchNorm_With_Hardcoded_Refs,
      ReferenceBatchNormV0LayerTest,
      ::testing::ValuesIn(generateCombinedParamsForBatchNorm()),
      ReferenceBatchNormV0LayerTest::getTestCaseName);
  
  INSTANTIATE_TEST_SUITE_P(
      smoke_BatchNorm_With_Hardcoded_Refs,
      ReferenceBatchNormV5LayerTest,
      ::testing::ValuesIn(generateCombinedParamsForBatchNorm()),
      ReferenceBatchNormV5LayerTest::getTestCaseName);
  
  }  // namespace
  