tests/validation/CL/MatMul.cpp

/*
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#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