text: /*
   * Copyright (c) 2017-2018 ARM Limited.
   *
   * SPDX-License-Identifier: MIT
   *
   * Permission is hereby granted, free of charge, to any person obtaining a copy
   * of this software and associated documentation files (the "Software"), to
   * deal in the Software without restriction, including without limitation the
   * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
   * sell copies of the Software, and to permit persons to whom the Software is
   * furnished to do so, subject to the following conditions:
   *
   * The above copyright notice and this permission notice shall be included in all
   * copies or substantial portions of the Software.
   *
   * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
   * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
   * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
   * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
   * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
   * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
   * SOFTWARE.
   */
  #include "arm_compute/core/Types.h"
  #include "arm_compute/runtime/GLES_COMPUTE/GCTensor.h"
  #include "arm_compute/runtime/GLES_COMPUTE/GCTensorAllocator.h"
  #include "arm_compute/runtime/GLES_COMPUTE/functions/GCBatchNormalizationLayer.h"
  #include "tests/GLES_COMPUTE/GCAccessor.h"
  #include "tests/PaddingCalculator.h"
  #include "tests/datasets/RandomBatchNormalizationLayerDataset.h"
  #include "tests/datasets/ShapeDatasets.h"
  #include "tests/framework/Asserts.h"
  #include "tests/framework/Macros.h"
  #include "tests/framework/datasets/Datasets.h"
  #include "tests/validation/Helpers.h"
  #include "tests/validation/Validation.h"
  #include "tests/validation/fixtures/BatchNormalizationLayerFixture.h"
  
  namespace arm_compute
  {
  namespace test
  {
  namespace validation
  {
  namespace
  {
  constexpr AbsoluteTolerance<float> tolerance_f(0.00001f); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
  constexpr AbsoluteTolerance<float> tolerance_f16(0.01f);  /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
  const auto                         act_infos = framework::dataset::make("ActivationInfo",
  {
      ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
      ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f),
      ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 8.f, 2.f),
  });
  } // namespace
  
  TEST_SUITE(GC)
  TEST_SUITE(BatchNormalizationLayer)
  
  template <typename T>
  using GCBatchNormalizationLayerFixture = BatchNormalizationLayerValidationFixture<GCTensor, GCAccessor, GCBatchNormalizationLayer, T>;
  
  DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(),
                                                                                     combine(framework::dataset::make("UseBeta", { false, true }),
                                                                                             framework::dataset::make("UseGamma", { false, true }))),
                                                                             framework::dataset::make("DataType", { DataType::F32 })),
                                                                     framework::dataset::make("DataLayout", { DataLayout::NCHW })),
                 shape0, shape1, epsilon, use_beta, use_gamma, dt, data_layout)
  {
      // Set fixed point position data type allowed
      int fixed_point_position = (arm_compute::is_data_type_fixed_point(dt)) ? 3 : 0;
  
      TensorShape src_dst_shapes = shape0;
      if(data_layout == DataLayout::NHWC)
      {
          permute(src_dst_shapes, PermutationVector(2U, 0U, 1U));
      }
  
      // Create tensors
      GCTensor src   = create_tensor<GCTensor>(src_dst_shapes, dt, 1, fixed_point_position, QuantizationInfo(), data_layout);
      GCTensor dst   = create_tensor<GCTensor>(src_dst_shapes, dt, 1, fixed_point_position, QuantizationInfo(), data_layout);
      GCTensor mean  = create_tensor<GCTensor>(shape1, dt, 1, fixed_point_position);
      GCTensor var   = create_tensor<GCTensor>(shape1, dt, 1, fixed_point_position);
      GCTensor beta  = create_tensor<GCTensor>(shape1, dt, 1, fixed_point_position);
      GCTensor gamma = create_tensor<GCTensor>(shape1, dt, 1, fixed_point_position);
  
      // Create and Configure function
      GCBatchNormalizationLayer norm;
      GCTensor                 *beta_ptr  = use_beta ? &beta : nullptr;
      GCTensor                 *gamma_ptr = use_gamma ? &gamma : nullptr;
      norm.configure(&src, &dst, &mean, &var, beta_ptr, gamma_ptr, epsilon);
  
      // Validate valid region
      const ValidRegion valid_region = shape_to_valid_region(src_dst_shapes);
      validate(dst.info()->valid_region(), valid_region);
  }
  
  TEST_SUITE(Float)
  TEST_SUITE(FP16)
  FIXTURE_DATA_TEST_CASE(Random, GCBatchNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(),
                                                                                                                    combine(framework::dataset::make("UseBeta", { false, true }),
                                                                                                                            framework::dataset::make("UseGamma", { false, true }))),
                                                                                                                    act_infos),
                                                                                                                    framework::dataset::make("DataType", DataType::F16)),
                                                                                                                    framework::dataset::make("DataLayout", { DataLayout::NCHW })))
  {
      // Validate output
      validate(GCAccessor(_target), _reference, tolerance_f16, 0);
  }
  TEST_SUITE_END()
  
  TEST_SUITE(FP32)
  FIXTURE_DATA_TEST_CASE(Random, GCBatchNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::RandomBatchNormalizationLayerDataset(),
                                                                                                                     combine(framework::dataset::make("UseBeta", { false, true }),
                                                                                                                             framework::dataset::make("UseGamma", { false, true }))),
                                                                                                                     act_infos),
                                                                                                                     framework::dataset::make("DataType", DataType::F32)),
                                                                                                                     framework::dataset::make("DataLayout", { DataLayout::NCHW })))
  {
      // Validate output
      validate(GCAccessor(_target), _reference, tolerance_f, 0);
  }
  TEST_SUITE_END()
  TEST_SUITE_END()
  
  TEST_SUITE_END()
  TEST_SUITE_END()
  } // namespace validation
  } // namespace test
  } // namespace arm_compute
  