text: /*
   * Copyright (c) 2019-2021 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/CL/CLTensor.h"
  #include "arm_compute/runtime/CL/CLTensorAllocator.h"
  #include "arm_compute/runtime/CL/functions/CLPReluLayer.h"
  #include "tests/CL/CLAccessor.h"
  #include "tests/PaddingCalculator.h"
  #include "tests/datasets/ConvertPolicyDataset.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/ElementwiseOperationsFixture.h"
  
  namespace arm_compute
  {
  namespace test
  {
  namespace validation
  {
  namespace
  {
  RelativeTolerance<float> tolerance_fp32(0.000001f);
  RelativeTolerance<float> tolerance_fp16(0.001f);
  
  /** Input data sets **/
  const auto PReluLayerU8Dataset = combine(combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::U8)),
                                           framework::dataset::make("DataType",
                                                                    DataType::U8));
  const auto PReluLayerQASYMM8Dataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::QASYMM8)),
                                                framework::dataset::make("DataType",
                                                                         DataType::QASYMM8));
  const auto PReluLayerQASYMM8SIGNEDDataset = combine(combine(framework::dataset::make("DataType", DataType::QASYMM8_SIGNED), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
                                                      framework::dataset::make("DataType",
                                                                               DataType::QASYMM8_SIGNED));
  const auto PReluLayerS16Dataset = combine(combine(framework::dataset::make("DataType", { DataType::U8, DataType::S16 }), framework::dataset::make("DataType", DataType::S16)),
                                            framework::dataset::make("DataType", DataType::S16));
  const auto PReluLayerFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)),
                                             framework::dataset::make("DataType", DataType::F16));
  const auto PReluLayerFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)),
                                             framework::dataset::make("DataType", DataType::F32));
  } // namespace
  
  TEST_SUITE(CL)
  TEST_SUITE(PReluLayer)
  
  // *INDENT-OFF*
  // clang-format off
  DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
                 framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
                                                          TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
                                                          TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),      // Invalid data type combination
                                                          TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),     // Mismatching shapes
                                                        }),
                 framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
                                                         TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
                                                         TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
                                                         TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
                                                       })),
                 framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S16),
                                                         TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
                                                         TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),
                                                         TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
                                                       })),
                 framework::dataset::make("Expected", { true, true, false, false})),
                 input1_info, input2_info, output_info, expected)
  {
      ARM_COMPUTE_EXPECT(bool(CLPReluLayer::validate(&input1_info.clone()->set_is_resizable(false), &input2_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);
  }
  // clang-format on
  // *INDENT-ON*
  
  TEST_SUITE(InPlace)
  TEST_CASE(Validate, framework::DatasetMode::ALL)
  {
      // PRelu operaotr should be able to take nullptr as output and do the in-place computation.
      // Shape and data type are selected randomly since they shouldn't matter
      const auto tensor_info = TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32);
      const auto result      = arm_compute::CLPReluLayer::validate(&tensor_info, &tensor_info, nullptr);
      ARM_COMPUTE_EXPECT(bool(result) == true, framework::LogLevel::ERRORS);
  }
  
  SimpleTensor<float> compute_float_reference(const TensorInfo &tensor_info)
  {
      SimpleTensor<float> ref_src1{ tensor_info.tensor_shape(), tensor_info.data_type() };
      SimpleTensor<float> ref_src2{ tensor_info.tensor_shape(), tensor_info.data_type() };
      SimpleTensor<float> ref_dst{ tensor_info.tensor_shape(), tensor_info.data_type() };
  
      library->fill_tensor_uniform(ref_src1, 0);
      library->fill_tensor_uniform(ref_src2, 1);
  
      return reference::arithmetic_operation<float>(ArithmeticOperation::PRELU, ref_src1, ref_src2, ref_dst);
  }
  
  void compute_float_target_in_place(CLTensor &src1, CLTensor &src2, bool use_nullptr_output)
  {
      auto fn = arm_compute::CLPReluLayer{};
      fn.configure(&src1, &src2, use_nullptr_output ? nullptr : &src1);
  
      src1.allocator()->allocate();
      src2.allocator()->allocate();
  
      library->fill_tensor_uniform(CLAccessor(src1), 0);
      library->fill_tensor_uniform(CLAccessor(src2), 1);
  
      fn.run();
  }
  
  TEST_CASE(ComputeWithNullPtr, framework::DatasetMode::ALL)
  {
      const auto tensor_info = TensorInfo(TensorShape(33U, 13U, 2U), 1, DataType::F32);
  
      auto src1 = create_tensor<CLTensor>(tensor_info);
      auto src2 = create_tensor<CLTensor>(tensor_info);
      compute_float_target_in_place(src1, src2, true);
      validate(CLAccessor(src1), compute_float_reference(tensor_info));
  }
  
  TEST_CASE(ComputeWithSameTensor, framework::DatasetMode::ALL)
  {
      const auto tensor_info = TensorInfo(TensorShape(33U, 13U, 2U), 1, DataType::F32);
  
      auto src1 = create_tensor<CLTensor>(tensor_info);
      auto src2 = create_tensor<CLTensor>(tensor_info);
      compute_float_target_in_place(src1, src2, false);
      validate(CLAccessor(src1), compute_float_reference(tensor_info));
  }
  TEST_SUITE_END() // InPlace
  
  template <typename T>
  using CLPReluLayerFixture = PReluLayerValidationFixture<CLTensor, CLAccessor, CLPReluLayer, T>;
  
  TEST_SUITE(U8)
  FIXTURE_DATA_TEST_CASE(RunSmall, CLPReluLayerFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), PReluLayerU8Dataset))
  {
      // Validate output
      validate(CLAccessor(_target), _reference);
  }
  TEST_SUITE_END()
  
  template <typename T>
  using CLPReluLayerQuantizedFixture = PReluLayerValidationQuantizedFixture<CLTensor, CLAccessor, CLPReluLayer, T>;
  
  TEST_SUITE(Quantized)
  TEST_SUITE(QASYMM8)
  FIXTURE_DATA_TEST_CASE(RunSmall, CLPReluLayerQuantizedFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(),
                                                                                                                     PReluLayerQASYMM8Dataset),
                                                                                                                     framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })),
                                                                                                                     framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 255.f, 10) })),
                                                                                                                     framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 255.f, 5) }))
  
                        )
  {
      // Validate output
      validate(CLAccessor(_target), _reference);
  }
  TEST_SUITE_END()
  
  TEST_SUITE(QASYMM8_SIGNED)
  FIXTURE_DATA_TEST_CASE(RunSmall, CLPReluLayerQuantizedFixture<int8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(combine(datasets::SmallShapes(),
                                                                                                                    PReluLayerQASYMM8SIGNEDDataset),
                                                                                                                    framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 127.f, 20) })),
                                                                                                                    framework::dataset::make("QuantizationInfo", { QuantizationInfo(2.f / 127.f, 10) })),
                                                                                                                    framework::dataset::make("QuantizationInfo", { QuantizationInfo(1.f / 127.f, 5) }))
  
                        )
  {
      // Validate output
      validate(CLAccessor(_target), _reference);
  }
  TEST_SUITE_END()
  TEST_SUITE_END()
  
  TEST_SUITE(S16)
  FIXTURE_DATA_TEST_CASE(RunSmall, CLPReluLayerFixture<int16_t>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), PReluLayerS16Dataset))
  {
      // Validate output
      validate(CLAccessor(_target), _reference);
  }
  TEST_SUITE_END()
  
  TEST_SUITE(Float)
  TEST_SUITE(FP16)
  FIXTURE_DATA_TEST_CASE(RunSmall, CLPReluLayerFixture<half>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), PReluLayerFP16Dataset))
  {
      // Validate output
      validate(CLAccessor(_target), _reference, tolerance_fp16, 0.01);
  }
  TEST_SUITE_END()
  
  TEST_SUITE(FP32)
  FIXTURE_DATA_TEST_CASE(RunSmall, CLPReluLayerFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), PReluLayerFP32Dataset))
  {
      // Validate output
      validate(CLAccessor(_target), _reference, tolerance_fp32);
  }
  template <typename T>
  using CLPReluLayerBroadcastFixture = PReluLayerBroadcastValidationFixture<CLTensor, CLAccessor, CLPReluLayer, T>;
  
  FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CLPReluLayerBroadcastFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(),
                                                                                                                      PReluLayerFP32Dataset))
  {
      // Validate output
      validate(CLAccessor(_target), _reference, tolerance_fp32);
  }
  TEST_SUITE_END()
  TEST_SUITE_END()
  
  TEST_SUITE_END()
  TEST_SUITE_END()
  } // namespace validation
  } // namespace test
  } // namespace arm_compute
  