text: /*
   * Copyright (c) 2017-2020 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/NEGEMM.h"
  #include "arm_compute/runtime/Tensor.h"
  #include "arm_compute/runtime/TensorAllocator.h"
  #include "src/core/NEON/kernels/NEGEMMInterleave4x4Kernel.h"
  #include "src/core/NEON/kernels/NEGEMMMatrixMultiplyKernel.h"
  #include "src/core/NEON/kernels/NEGEMMTranspose1xWKernel.h"
  #include "tests/NEON/Accessor.h"
  #include "tests/NEON/Helper.h"
  #include "tests/PaddingCalculator.h"
  #include "tests/datasets/LargeGEMMDataset.h"
  #include "tests/datasets/SmallGEMMDataset.h"
  #include "tests/datasets/TinyGEMMDataset.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/GEMMFixture.h"
  #include "tests/validation/fixtures/GEMMInterleave4x4Fixture.h"
  #include "tests/validation/fixtures/GEMMTranspose1xWFixture.h"
  
  namespace arm_compute
  {
  namespace test
  {
  namespace validation
  {
  namespace
  {
  constexpr AbsoluteTolerance<float> tolerance_f(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for FP32 data types */
  #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
  RelativeTolerance<half_float::half> rel_tolerance_f16(half(0.2)); /**< Relative tolerance value for comparing reference's output against implementation's output for FP16 data types */
  const AbsoluteTolerance<float>      abs_tolerance_f16(0.2f);      /**< Absolute tolerance value for comparing reference's output against implementation's output for FP16 data types */
  constexpr float                     tolerance_num = 0.07f;        /**< Tolerance number for FP16 data types */
  #endif                                                            /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
  /** CNN data types */
  const auto CNNDataTypes = framework::dataset::make("DataType",
  {
  #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
      DataType::F16,
  #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
      DataType::F32,
  });
  
  const auto data_interleave = framework::dataset::make("M", 8, 12) * framework::dataset::make("N", 8, 12);
  const auto data_transpose  = framework::dataset::make("M", 8, 14) * framework::dataset::make("N", 7, 14);
  
  /** Zero padding test */
  template <typename FunctionType>
  bool validate_zero_padding(unsigned int dim0_value, unsigned int dim1_value)
  {
      const TensorShape in_shape(dim0_value, dim1_value);
  
      // Create tensors
      Tensor in = create_tensor<Tensor>(in_shape, DataType::U32);
      Tensor dst;
  
      ARM_COMPUTE_EXPECT(in.info()->is_resizable(), framework::LogLevel::ERRORS);
  
      // Validate zero-padding
      FunctionType func;
  
      func.configure(&in, &dst);
  
      return in.info()->padding().empty();
  }
  
  /* Zero padding test for GEMM kernels */
  bool validate_gemm_zero_padding(const TensorShape shape0, const TensorShape shape1)
  {
      // Create tensors
      Tensor in0 = create_tensor<Tensor>(shape0, DataType::F32);
      Tensor in1 = create_tensor<Tensor>(shape1, DataType::F32);
      Tensor dst;
  
      // Validate zero-padding
      NEGEMMMatrixMultiplyKernel gemm;
      gemm.configure(&in0, &in1, &dst, 1.0, false);
  
      return in0.info()->padding().empty() && in1.info()->padding().empty() && dst.info()->padding().empty();
  }
  } // namespace
  
  TEST_SUITE(NEON)
  TEST_SUITE(GEMM)
  
  TEST_SUITE(TRANSPOSE_1XW)
  using NEGEMMTranspose1xW = NESynthetizeFunctionWithZeroConstantBorder<NEGEMMTranspose1xWKernel, 4>;
  DATA_TEST_CASE(ValidateZeroPadding, framework::DatasetMode::ALL, zip(
                     framework::dataset::make("N", { 1, 23, 63, 101 }),
                     framework::dataset::make("K", { 1, 47, 29, 27 })),
                 n_value, k_value)
  {
      bool status = validate_zero_padding<NEGEMMTranspose1xWKernel>(n_value, k_value);
      ARM_COMPUTE_EXPECT(status, framework::LogLevel::ERRORS);
  }
  
  TEST_SUITE(U32)
  using NEGEMMTranspose1xWFixture = GEMMTranspose1xWValidationFixture<Tensor, Accessor, NEGEMMTranspose1xW, uint32_t>;
  FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMTranspose1xWFixture, framework::DatasetMode::PRECOMMIT, data_transpose * framework::dataset::make("DataType", DataType::U32))
  {
      // Validate output
      validate(Accessor(_target), _reference);
  }
  TEST_SUITE_END() // U32
  
  TEST_SUITE(U16)
  using NEGEMMTranspose1xWFixture = GEMMTranspose1xWValidationFixture<Tensor, Accessor, NEGEMMTranspose1xW, uint16_t>;
  FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMTranspose1xWFixture, framework::DatasetMode::PRECOMMIT, data_transpose * framework::dataset::make("DataType", DataType::U16))
  {
      // Validate output
      validate(Accessor(_target), _reference);
  }
  TEST_SUITE_END() // U16
  
  TEST_SUITE(U8)
  using NEGEMMTranspose1xWFixture = GEMMTranspose1xWValidationFixture<Tensor, Accessor, NEGEMMTranspose1xW, uint8_t>;
  FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMTranspose1xWFixture, framework::DatasetMode::PRECOMMIT, data_transpose * framework::dataset::make("DataType", DataType::U8))
  {
      // Validate output
      validate(Accessor(_target), _reference);
  }
  TEST_SUITE_END() // U8
  
  TEST_SUITE_END() // TRANSPOSE_1XW
  
  TEST_SUITE(INTERLEAVE_4X4)
  using NEGEMMInterleave4x4 = NESynthetizeFunctionWithZeroConstantBorder<NEGEMMInterleave4x4Kernel, 4>;
  
  DATA_TEST_CASE(ValidateZeroPadding, framework::DatasetMode::ALL, zip(
                     framework::dataset::make("M", { 1, 23, 63, 101 }),
                     framework::dataset::make("K", { 1, 47, 29, 27 })),
                 m_value, k_value)
  {
      bool status = validate_zero_padding<NEGEMMInterleave4x4Kernel>(m_value, k_value);
      ARM_COMPUTE_EXPECT(status, framework::LogLevel::ERRORS);
  }
  
  TEST_SUITE(U32)
  using NEGEMMInterleave4x4Fixture = GEMMInterleave4x4ValidationFixture<Tensor, Accessor, NEGEMMInterleave4x4, uint32_t>;
  FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMInterleave4x4Fixture, framework::DatasetMode::PRECOMMIT, data_interleave * framework::dataset::make("DataType", DataType::U32))
  {
      // Validate output
      validate(Accessor(_target), _reference);
  }
  TEST_SUITE_END() // U32
  
  TEST_SUITE(U16)
  using NEGEMMInterleave4x4Fixture = GEMMInterleave4x4ValidationFixture<Tensor, Accessor, NEGEMMInterleave4x4, uint16_t>;
  FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMInterleave4x4Fixture, framework::DatasetMode::PRECOMMIT, data_interleave * framework::dataset::make("DataType", DataType::U16))
  {
      // Validate output
      validate(Accessor(_target), _reference);
  }
  TEST_SUITE_END() // U16
  
  TEST_SUITE(U8)
  using NEGEMMInterleave4x4Fixture = GEMMInterleave4x4ValidationFixture<Tensor, Accessor, NEGEMMInterleave4x4, uint8_t>;
  FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMInterleave4x4Fixture, framework::DatasetMode::PRECOMMIT, data_interleave * framework::dataset::make("DataType", DataType::QASYMM8))
  {
      // Validate output
      validate(Accessor(_target), _reference);
  }
  TEST_SUITE_END() // U8
  
  TEST_SUITE_END() // INTERLEAVE_4X4
  
  //TODO(COMPMID-415): Validate valid region
  
  template <typename T>
  using NEGEMMFixture = GEMMValidationFixture<Tensor, Accessor, NEGEMM, T>;
  
  template <typename T>
  using NEGEMMFixtureDisabledC = GEMMValidationFixture<Tensor, Accessor, NEGEMM, T, true>;
  
  TEST_SUITE(Float)
  DATA_TEST_CASE(ValidateZeroPadding, framework::DatasetMode::ALL, zip(framework::dataset::make("In0", { TensorShape(21U, 13U),
                                                                                                         TensorShape(31U, 1U),
                                                                                                         TensorShape(31U, 1U),
                                                                                                         TensorShape(8U, 2U),
                                                                                                         TensorShape(38U, 12U),
                                                                                                         TensorShape(32U, 1U)
                                                                                                       }),
                                                                       framework::dataset::make("In1", { TensorShape(33U, 21U),
                                                                                                         TensorShape(23U, 31U),
                                                                                                         TensorShape(23U, 31U),
                                                                                                         TensorShape(16U, 8U),
                                                                                                         TensorShape(21U, 38U),
                                                                                                         TensorShape(17U, 32U)
                                                                                                       })),
                 shape0, shape1)
  {
      bool status = validate_gemm_zero_padding(shape0, shape1);
      ARM_COMPUTE_EXPECT(status, framework::LogLevel::ERRORS);
  }
  
  #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
  TEST_SUITE(FP16)
  FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(),
                                                                                                           framework::dataset::make("ReshapeWeights", { true, false })),
                                                                                                   framework::dataset::make("DataType", DataType::F16)))
  {
      // Validate output
      validate(Accessor(_target), _reference, rel_tolerance_f16, tolerance_num, abs_tolerance_f16);
  }
  FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMDataset(),
                                                                                                         framework::dataset::make("ReshapeWeights", { true, false })),
  
                                                                                                 framework::dataset::make("DataType", DataType::F16)))
  {
      // Validate output
      validate(Accessor(_target), _reference, rel_tolerance_f16, tolerance_num, abs_tolerance_f16);
  }
  TEST_SUITE_END()
  #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
  
  TEST_SUITE(FP32)
  FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(),
                                                                                                            framework::dataset::make("ReshapeWeights", { true, false })),
  
                                                                                                    framework::dataset::make("DataType", DataType::F32)))
  {
      // Validate output
      validate(Accessor(_target), _reference, tolerance_f);
  }
  FIXTURE_DATA_TEST_CASE(RunLarge, NEGEMMFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeGEMMDataset(),
                                                                                                          framework::dataset::make("ReshapeWeights", { true, false })),
  
                                                                                                  framework::dataset::make("DataType", DataType::F32)))
  {
      // Validate output
      validate(Accessor(_target), _reference, tolerance_f);
  }
  TEST_SUITE(DisabledC)
  FIXTURE_DATA_TEST_CASE(RunSmall, NEGEMMFixtureDisabledC<float>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallGEMMDataset(),
                                                                                                                     framework::dataset::make("ReshapeWeights", { true, false })),
  
                                                                                                             framework::dataset::make("DataType", DataType::F32)))
  {
      // Validate output
      validate(Accessor(_target), _reference, tolerance_f);
  }
  TEST_SUITE_END()
  
  TEST_SUITE_END()
  TEST_SUITE_END()
  
  TEST_SUITE_END()
  TEST_SUITE_END()
  } // namespace validation
  } // namespace test
  } // namespace arm_compute
  