tests/validation/NEON/ElementwiseRound.cpp

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#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/NEON/functions/NEElementwiseUnaryLayer.h"
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"
#include "tests/NEON/Accessor.h"
#include "tests/PaddingCalculator.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/ElementwiseUnaryFixture.h"

namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(0);
constexpr AbsoluteTolerance<int8_t>  tolerance_qasymm8_signed(0);
} // namespace
TEST_SUITE(NEON)
TEST_SUITE(RoundLayer)

template <typename T>
using NERoundLayerFixture = RoundValidationFixture<Tensor, Accessor, NERoundLayer, T>;

template <typename T>
using NERoundLayerQuantizedFixture = RoundQuantizedValidationFixture<Tensor, Accessor, NERoundLayer, T>;

TEST_SUITE(Float)
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NERoundLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType",
                                                                                                       DataType::F16)))
{
    // Validate output
    validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NERoundLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType",
                                                                                                     DataType::F16)))
{
    // Validate output
    validate(Accessor(_target), _reference);
}

TEST_SUITE_END() // FP16
#endif           // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC

TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NERoundLayerFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType",
                                                                                                  DataType::F32)))
{
    // Validate output
    validate(Accessor(_target), _reference);
}

FIXTURE_DATA_TEST_CASE(RunLarge, NERoundLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType",
                                                                                                      DataType::F32)))
{
    // Validate output
    validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // FP32
TEST_SUITE_END() // Float

TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)
FIXTURE_DATA_TEST_CASE(RunSmall, NERoundLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(
                       datasets::SmallShapes(),
                       framework::dataset::make("DataType", DataType::QASYMM8)),
                       framework::dataset::make("InputQInfo", { QuantizationInfo(0.2, -3) })),
                       framework::dataset::make("OutputQInfo", { QuantizationInfo(0.5, 10) })))
{
    // Validate output
    validate(Accessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE_END() // QASYMM8

TEST_SUITE(QASYMM8_SIGNED)
FIXTURE_DATA_TEST_CASE(RunSmall, NERoundLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(
                       datasets::SmallShapes(),
                       framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
                       framework::dataset::make("InputQInfo", { QuantizationInfo(0.075, 6) })),
                       framework::dataset::make("OutputQInfo", { QuantizationInfo(0.1, -7) })))
{
    // Validate output
    validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
}
TEST_SUITE_END() // QASYMM8_SIGNED
TEST_SUITE_END() // Quantized

TEST_SUITE_END() // RoundLayer
TEST_SUITE_END() // Neon
} // namespace validation
} // namespace test
} // namespace arm_compute