/*
 * Copyright (c) 2023 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/runtime/CL/CLTensor.h"
#include "arm_compute/runtime/CL/functions/CLMatMul.h"
#include "tests/CL/CLAccessor.h"
#include "tests/datasets/LargeMatMulDataset.h"
#include "tests/datasets/SmallMatMulDataset.h"
#include "tests/framework/Macros.h"
#include "tests/framework/datasets/Datasets.h"
#include "tests/validation/Validation.h"
#include "tests/validation/fixtures/MatMulFixture.h"

namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
RelativeTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for fp32 data type */
constexpr float          abs_tolerance_f32(
    0.0001f); /**< Absolute tolerance value for comparing reference's output against implementation's output for fp32 data type in case using relative tolerance fails because of small values */
constexpr float abs_tolerance_f16(
    0.001f);                                                   /**< Absolute tolerance value for comparing reference's output against implementation's output for fp16  data type in case using relative tolerance fails because of small values */
RelativeTolerance<half_float::half> tolerance_f16(half(0.01)); /**< Tolerance value for comparing reference's output against implementation's output for fp16 data type */
} // namespace
template <typename T>
using MatMulFixture = MatMulValidationFixture<CLTensor, CLAccessor, CLMatMul, T>;

TEST_SUITE(CL)
TEST_SUITE(MatMul)
TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, MatMulFixture<float>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallMatMulDataset(),
                                                                                                                  framework::dataset::make("pretransose_A", { false, true })),
                                                                                                          framework::dataset::make("pretransose_B", { false, true })),
                                                                                                  framework::dataset::make("DataType", DataType::F32)))
{
    // Validate output
    validate(CLAccessor(_target), _reference, tolerance_f32, 0.f, abs_tolerance_f32);
}
FIXTURE_DATA_TEST_CASE(RunLarge, MatMulFixture<float>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeMatMulDataset(),
                                                                                                                framework::dataset::make("pretransose_A", { false, true })),
                                                                                                        framework::dataset::make("pretransose_B", { false, true })),
                                                                                                framework::dataset::make("DataType", DataType::F32)))
{
    // Validate output
    validate(CLAccessor(_target), _reference, tolerance_f32, 0.f, abs_tolerance_f32);
}
TEST_SUITE_END() // FP32
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, MatMulFixture<half>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallMatMulDataset(),
                                                                                                                 framework::dataset::make("pretransose_A", { false, true })),
                                                                                                         framework::dataset::make("pretransose_B", { false, true })),
                                                                                                 framework::dataset::make("DataType", DataType::F16)))
{
    // Validate output
    validate(CLAccessor(_target), _reference, tolerance_f16, 0.f, abs_tolerance_f16);
}
FIXTURE_DATA_TEST_CASE(RunLarge, MatMulFixture<half>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeMatMulDataset(),
                                                                                                               framework::dataset::make("pretransose_A", { false, true })),
                                                                                                       framework::dataset::make("pretransose_B", { false, true })),
                                                                                               framework::dataset::make("DataType", DataType::F16)))
{
    // Validate output
    validate(CLAccessor(_target), _reference, tolerance_f16, 0.f, abs_tolerance_f16);
}
TEST_SUITE_END() // FP16
TEST_SUITE_END() // MatMul
TEST_SUITE_END() // CL
} // namespace validation
} // namespace test
} // namespace arm_compute