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 CONCLCTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
   * SOFTWARE.
   */
  #include "arm_compute/core/Types.h"
  #include "arm_compute/runtime/CL/CLTensor.h"
  #include "arm_compute/runtime/CL/CLTensorAllocator.h"
  #include "arm_compute/runtime/CL/functions/CLDepthwiseConvolutionLayer.h"
  #include "tests/CL/CLAccessor.h"
  #include "tests/PaddingCalculator.h"
  #include "tests/datasets/DepthwiseConvolutionLayerDataset.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/DepthwiseConvolutionLayerFixture.h"
  
  namespace arm_compute
  {
  namespace test
  {
  namespace validation
  {
  namespace
  {
  RelativeTolerance<half_float::half>  tolerance_f16(half_float::half(0.001)); /**< Tolerance value for comparing reference's output against implementation's output for DataType::F16 */
  constexpr RelativeTolerance<float>   tolerance_f32(0.01f);                   /**< Tolerance value for comparing reference's output against implementation's output for DataType::F32 */
  constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1);                   /**< Tolerance value for comparing reference's output against implementation's output for DataType::QASYMM8 */
  constexpr float                      tolerance_num = 0.05f;                  /**< Tolerance number */
  
  const auto depth_multipliers = framework::dataset::make("DepthMultiplier", { 1, 2, 3 });
  } // namespace
  
  TEST_SUITE(CL)
  TEST_SUITE(DepthwiseConvolutionLayer)
  
  // *INDENT-OFF*
  // clang-format off
  DATA_TEST_CASE(Validate3x3, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip(
                 framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32),     // Mismatching data type input/weights
                                                         TensorInfo(TensorShape(32U, 18U, 3U), 1, DataType::F32),     // Mismatching input feature maps
                                                         TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32),     // Unsupported weights dimensions
                                                         TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::QASYMM8), // Unsupported activation
                                                         TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32),     // Mismatching depth multiplier
                                                         TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32),     // Invalid stride
                                                         TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32),     // Invalid biases size
                                                         TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32),     // Invalid biases dimensions
                                                         TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32),     // Invalid output size
                                                         TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),     // Window shrink
                                                         TensorInfo(TensorShape(32U, 18U, 8U), 1, DataType::F32),
                                                         TensorInfo(TensorShape(50U, 32U, 8U), 1, DataType::QASYMM8),
                                                       }),
                 framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16),
                                                           TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(5U, 5U, 2U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::QASYMM8),
                                                           TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8),
                                                         })),
                 framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32),
                                                          TensorInfo(TensorShape(2U), 1, DataType::F32),
                                                          TensorInfo(TensorShape(2U), 1, DataType::F32),
                                                          TensorInfo(TensorShape(2U), 1, DataType::S32),
                                                          TensorInfo(TensorShape(2U), 1, DataType::F32),
                                                          TensorInfo(TensorShape(2U), 1, DataType::F32),
                                                          TensorInfo(TensorShape(4U), 1, DataType::F32),
                                                          TensorInfo(TensorShape(2U, 2U), 1, DataType::F32),
                                                          TensorInfo(TensorShape(2U), 1, DataType::F32),
                                                          TensorInfo(TensorShape(2U), 1, DataType::F32),
                                                          TensorInfo(TensorShape(16U), 1, DataType::F32),
                                                          TensorInfo(TensorShape(24U), 1, DataType::S32),
                                                        })),
                 framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
                                                          TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
                                                          TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
                                                          TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::QASYMM8),
                                                          TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
                                                          TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
                                                          TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
                                                          TensorInfo(TensorShape(30U, 16U, 2U), 1, DataType::F32),
                                                          TensorInfo(TensorShape(32U, 18U, 2U), 1, DataType::F32),
                                                          TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
                                                          TensorInfo(TensorShape(30U, 16U, 16U), 1, DataType::F32),
                                                          TensorInfo(TensorShape(48U, 30U, 24U), 1, DataType::QASYMM8),
                                                        })),
                 framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0),
                                                        PadStrideInfo(1, 1, 0, 0),
                                                        PadStrideInfo(1, 1, 0, 0),
                                                        PadStrideInfo(1, 1, 0, 0),
                                                        PadStrideInfo(1, 1, 0, 0),
                                                        PadStrideInfo(4, 1, 0, 0),
                                                        PadStrideInfo(1, 1, 0, 0),
                                                        PadStrideInfo(1, 1, 0, 0),
                                                        PadStrideInfo(1, 1, 0, 0),
                                                        PadStrideInfo(1, 1, 0, 0),
                                                        PadStrideInfo(1, 1, 0, 0),
                                                        PadStrideInfo(1, 1, 0, 0),
                                                       })),
                 framework::dataset::make("DepthMultiplier", { 1,
                                                               1,
                                                               1,
                                                               1,
                                                               3,
                                                               1,
                                                               1,
                                                               1,
                                                               1,
                                                               1,
                                                               2,
                                                               3,
                                                              })),
                  framework::dataset::make("ActivationInfo", { ActivationLayerInfo(),
                                                               ActivationLayerInfo(),
                                                               ActivationLayerInfo(),
                                                               ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LINEAR),
                                                               ActivationLayerInfo(),
                                                               ActivationLayerInfo(),
                                                               ActivationLayerInfo(),
                                                               ActivationLayerInfo(),
                                                               ActivationLayerInfo(),
                                                               ActivationLayerInfo(),
                                                               ActivationLayerInfo(),
                                                               ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU),
                                                             })),
                 framework::dataset::make("Expected", { false, false, false, false, false, false, false, false, false, false, true, true })),
                 input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, act_info, expected)
  {
      bool is_valid = bool(CLDepthwiseConvolutionLayer3x3::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &biases_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), conv_info, depth_multiplier, act_info));
      ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
  }
  
  DATA_TEST_CASE(ValidateGeneric, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(
                  framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),    // Mismatching data type input/weights
                                                          TensorInfo(TensorShape(27U, 13U, 3U), 1, DataType::F32),    // Mismatching input feature maps
                                                          TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),    // Mismatching depth multiplier
                                                          TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),    // Invalid biases size
                                                          TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),    // Invalid biases dimensions
                                                          TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),    // Invalid output size
                                                          TensorInfo(TensorShape(27U, 13U, 8U), 1, DataType::F32),
                                                          TensorInfo(TensorShape(32U, 13U, 8U), 1, DataType::QASYMM8),
                                                        }),
                  framework::dataset::make("WeightsInfo", { TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F16),
                                                            TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
                                                            TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
                                                            TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
                                                            TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
                                                            TensorInfo(TensorShape(3U, 3U, 2U), 1, DataType::F32),
                                                            TensorInfo(TensorShape(3U, 3U, 16U), 1, DataType::F32),
                                                            TensorInfo(TensorShape(3U, 3U, 24U), 1, DataType::QASYMM8),
                                                          })),
                  framework::dataset::make("BiasesInfo", { TensorInfo(TensorShape(2U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(2U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(2U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(4U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(2U, 2U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(2U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(16U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(24U), 1, DataType::S32),
                                                         })),
                  framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(25U, 11U, 2U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(25U, 11U, 16U), 1, DataType::F32),
                                                           TensorInfo(TensorShape(32U, 11U, 24U), 1, DataType::QASYMM8),
                                                         })),
                  framework::dataset::make("ConvInfo", { PadStrideInfo(1, 1, 0, 0),
                                                         PadStrideInfo(1, 1, 0, 0),
                                                         PadStrideInfo(1, 1, 0, 0),
                                                         PadStrideInfo(1, 1, 0, 0),
                                                         PadStrideInfo(1, 1, 0, 0),
                                                         PadStrideInfo(1, 1, 0, 0),
                                                         PadStrideInfo(1, 1, 0, 0),
                                                         PadStrideInfo(1, 1, 1, 0),
                                                        })),
                  framework::dataset::make("DepthMultiplier", { 1,
                                                                1,
                                                                3,
                                                                1,
                                                                1,
                                                                1,
                                                                2,
                                                                3,
                                                               })),
                  framework::dataset::make("Expected", { false, false, false, false, false, false, true, true })),
                  input_info, weights_info, biases_info, output_info, conv_info, depth_multiplier, expected)
  {
      bool is_valid = bool(CLDepthwiseConvolutionLayer::validate(&input_info.clone()->set_is_resizable(false), &weights_info.clone()->set_is_resizable(false), &biases_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false), conv_info, depth_multiplier));
      ARM_COMPUTE_EXPECT(is_valid == expected, framework::LogLevel::ERRORS);
  }
  // clang-format on
  // *INDENT-ON*
  
  template <typename T>
  using CLDepthwiseConvolutionLayerFixture = DepthwiseConvolutionLayerValidationFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T>;
  
  template <typename T>
  using CLDepthwiseConvolutionLayerFixture3x3 = DepthwiseConvolutionLayerValidationFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer3x3, T>;
  
  TEST_SUITE(Float)
  TEST_SUITE(FP16)
  TEST_SUITE(W3x3)
  FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture3x3<half>, framework::DatasetMode::ALL,
                         combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
                                                                            datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()),
                                                 depth_multipliers),
                                         framework::dataset::make("DataType",
                                                                  DataType::F16)),
                                 framework::dataset::make("DataLayout", DataLayout::NCHW)))
  {
      validate(CLAccessor(_target), _reference, tolerance_f16);
  }
  FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture3x3<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
                                                                                                                         depth_multipliers),
                                                                                                                         framework::dataset::make("DataType",
                                                                                                                                 DataType::F16)),
                                                                                                                         framework::dataset::make("DataLayout", DataLayout::NCHW)))
  {
      validate(CLAccessor(_target), _reference, tolerance_f16);
  }
  TEST_SUITE_END()
  
  TEST_SUITE(Generic)
  FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers),
                                                                                                                          framework::dataset::make("DataType",
                                                                                                                                  DataType::F16)),
                                                                                                                  framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
  {
      validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
  }
  FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
                                                                                                                      depth_multipliers),
                                                                                                                      framework::dataset::make("DataType",
                                                                                                                              DataType::F16)),
                                                                                                                      framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
  {
      validate(CLAccessor(_target), _reference, tolerance_f16, tolerance_num);
  }
  TEST_SUITE_END()
  TEST_SUITE_END()
  
  TEST_SUITE(FP32)
  TEST_SUITE(W3x3)
  TEST_SUITE(NCHW)
  FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture3x3<float>, framework::DatasetMode::ALL,
                         combine(combine(combine(framework::dataset::concat(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
                                                                            datasets::SmallDepthwiseConvolutionLayerDataset3x3NCHW()),
                                                 depth_multipliers),
                                         framework::dataset::make("DataType",
                                                                  DataType::F32)),
                                 framework::dataset::make("DataLayout", DataLayout::NCHW)))
  {
      validate(CLAccessor(_target), _reference, tolerance_f32);
  }
  FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture3x3<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
                                                                                                                          depth_multipliers),
                                                                                                                          framework::dataset::make("DataType",
                                                                                                                                  DataType::F32)),
                                                                                                                          framework::dataset::make("DataLayout", DataLayout::NCHW)))
  {
      validate(CLAccessor(_target), _reference, tolerance_f32);
  }
  TEST_SUITE_END()
  TEST_SUITE(NHWC)
  FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture3x3<float>, framework::DatasetMode::ALL,
                         combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
                                                 framework::dataset::make("DepthMultiplier", 1)),
                                         framework::dataset::make("DataType",
                                                                  DataType::F32)),
                                 framework::dataset::make("DataLayout", DataLayout::NHWC)))
  {
      validate(CLAccessor(_target), _reference, tolerance_f32);
  }
  FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture3x3<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
                                                                                                                          framework::dataset::make("DepthMultiplier", 1)),
                                                                                                                          framework::dataset::make("DataType",
                                                                                                                                  DataType::F32)),
                                                                                                                          framework::dataset::make("DataLayout", DataLayout::NHWC)))
  {
      validate(CLAccessor(_target), _reference, tolerance_f32);
  }
  TEST_SUITE_END()
  TEST_SUITE_END()
  
  TEST_SUITE(Generic)
  FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::ALL, combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(), depth_multipliers),
                                                                                                                   framework::dataset::make("DataType",
                                                                                                                           DataType::F32)),
                                                                                                                   framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
  {
      validate(CLAccessor(_target), _reference, tolerance_f32);
  }
  FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
                                                                                                                       depth_multipliers),
                                                                                                                       framework::dataset::make("DataType",
                                                                                                                               DataType::F32)),
                                                                                                                       framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
  {
      validate(CLAccessor(_target), _reference, tolerance_f32);
  }
  TEST_SUITE_END()
  TEST_SUITE_END()
  TEST_SUITE_END()
  
  template <typename T>
  using CLDepthwiseConvolutionLayerQuantizedFixture = DepthwiseConvolutionLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer, T>;
  template <typename T>
  using CLDepthwiseConvolutionLayerQuantizedFixture3x3 = DepthwiseConvolutionLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLDepthwiseConvolutionLayer3x3, T>;
  
  TEST_SUITE(Quantized)
  TEST_SUITE(QASYMM8)
  TEST_SUITE(Generic)
  FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT,
                         combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset(),
                                                         depth_multipliers),
                                                 framework::dataset::make("DataType", DataType::QASYMM8)),
                                         framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })),
                                 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
  {
      validate(CLAccessor(_target), _reference, tolerance_qasymm8);
  }
  FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
                         combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset(),
                                                         depth_multipliers),
                                                 framework::dataset::make("DataType", DataType::QASYMM8)),
                                         framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })),
                                 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
  {
      validate(CLAccessor(_target), _reference, tolerance_qasymm8);
  }
  TEST_SUITE_END()
  TEST_SUITE(W3x3)
  FIXTURE_DATA_TEST_CASE(RunSmall, CLDepthwiseConvolutionLayerQuantizedFixture3x3<uint8_t>, framework::DatasetMode::PRECOMMIT,
                         combine(combine(combine(combine(datasets::SmallDepthwiseConvolutionLayerDataset3x3(),
                                                         framework::dataset::make("DepthMultiplier", 1)),
                                                 framework::dataset::make("DataType", DataType::QASYMM8)),
                                         framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })),
                                 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
  {
      validate(CLAccessor(_target), _reference, tolerance_qasymm8);
  }
  FIXTURE_DATA_TEST_CASE(RunLarge, CLDepthwiseConvolutionLayerQuantizedFixture3x3<uint8_t>, framework::DatasetMode::NIGHTLY,
                         combine(combine(combine(combine(datasets::LargeDepthwiseConvolutionLayerDataset3x3(),
                                                         framework::dataset::make("DepthMultiplier", 1)),
                                                 framework::dataset::make("DataType", DataType::QASYMM8)),
                                         framework::dataset::make("QuantizationInfo", { QuantizationInfo(0.5f, 10) })),
                                 framework::dataset::make("DataLayout", { DataLayout::NCHW, DataLayout::NHWC })))
  {
      validate(CLAccessor(_target), _reference, tolerance_qasymm8);
  }
  TEST_SUITE_END()
  TEST_SUITE_END()
  TEST_SUITE_END()
  
  TEST_SUITE_END()
  TEST_SUITE_END()
  } // namespace validation
  } // namespace test
  } // namespace arm_compute
  