text: /*
   * Copyright (c) 2019 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/NEON/functions/NEInstanceNormalizationLayer.h"
  #include "arm_compute/runtime/Tensor.h"
  #include "arm_compute/runtime/TensorAllocator.h"
  #include "tests/NEON/Accessor.h"
  #include "tests/PaddingCalculator.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/Validation.h"
  #include "tests/validation/fixtures/InstanceNormalizationLayerFixture.h"
  
  namespace arm_compute
  {
  namespace test
  {
  namespace validation
  {
  namespace
  {
  /** Tolerance for float operations */
  AbsoluteTolerance<float> tolerance_f32(0.0015f);
  #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
  AbsoluteTolerance<float> tolerance_f16(0.5f);
  #endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
  } // namespace
  
  TEST_SUITE(NEON)
  TEST_SUITE(InstanceNormalizationLayer)
  
  // *INDENT-OFF*
  // clang-format off
  DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
      framework::dataset::make("InputInfo",  { TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), // Mismatching data type input/output
                                               TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32), // Mismatching shape input/output
                                               TensorInfo(TensorShape(128U, 64U, 32U, 4U), 2, DataType::F32), // Number of Input channels != 1
                                               TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::S16), // DataType != F32
                                               TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NCHW),
                                               TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NHWC),
                                               TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
                                               TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
                                               TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
                                               TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32)
                                             }),
      framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F16),
                                               TensorInfo(TensorShape(256U, 64U, 32U, 4U), 1, DataType::F32),
                                               TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
                                               TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::S16),
                                               TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NCHW),
                                               TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32, DataLayout::NHWC),
                                               TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
                                               TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
                                               TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32),
                                               TensorInfo(TensorShape(128U, 64U, 32U, 4U), 1, DataType::F32)
                                             })),
      framework::dataset::make("Expected",   { false, false, false, false, true, true, true, true, true, true })),
      input_info, output_info, expected)
  {
      bool is_valid = bool(NEInstanceNormalizationLayer::validate(&input_info.clone()->set_is_resizable(false),
                                                        &output_info.clone()->set_is_resizable(false)
                                                        ));
      ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
  }
  // clang-format on
  // *INDENT-ON*
  
  template <typename T>
  using NEInstanceNormalizationLayerFixture = InstanceNormalizationLayerValidationFixture<Tensor, Accessor, NEInstanceNormalizationLayer, T>;
  
  TEST_SUITE(FP32)
  FIXTURE_DATA_TEST_CASE(RunSmall, NEInstanceNormalizationLayerFixture<float>, framework::DatasetMode::PRECOMMIT,
                         combine(combine(combine(datasets::Small4DShapes(),
                                                 framework::dataset::make("DataType", DataType::F32)),
                                         framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
                                 framework::dataset::make("InPlace", { false, true })))
  {
      // Validate output
      validate(Accessor(_target), _reference, tolerance_f32);
  }
  
  TEST_SUITE_END() // FP32
  
  #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
  TEST_SUITE(FP16)
  FIXTURE_DATA_TEST_CASE(RunSmall, NEInstanceNormalizationLayerFixture<half>, framework::DatasetMode::PRECOMMIT,
                         combine(combine(combine(datasets::SmallShapes(),
                                                 framework::dataset::make("DataType", DataType::F16)),
                                         framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })),
                                 framework::dataset::make("InPlace", { false, true })))
  {
      // Validate output
      validate(Accessor(_target), _reference, tolerance_f16);
  }
  TEST_SUITE_END() // FP16
  #endif           // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
  
  TEST_SUITE_END() // InstanceNormalizationLayer
  TEST_SUITE_END() // NEON
  } // namespace validation
  } // namespace test
  } // namespace arm_compute
  