tests/validation/NEON/ElementwiseLog.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
{
RelativeTolerance<float> tolerance_fp32(0.000001f);
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
RelativeTolerance<float> tolerance_fp16(0.01f);
#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC

#if defined(__aarch64__)
constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(0);
constexpr AbsoluteTolerance<int8_t>  tolerance_qasymm8_signed(0);
#else  // #if !defined(__aarch64__)
constexpr AbsoluteTolerance<uint8_t> tolerance_qasymm8(1); // There is difference of 1, because quantizing in reference uses round policy "TO_NEAREST_UP", where the armv7a neon kernel uses "TO_ZERO"
constexpr AbsoluteTolerance<int8_t>  tolerance_qasymm8_signed(1);
#endif // #if !defined(__aarch64__)

} // namespace
TEST_SUITE(NEON)
TEST_SUITE(LogLayer)

template <typename T>
using NELogLayerFixture = LogValidationFixture<Tensor, Accessor, NELogLayer, T>;

template <typename T>
using NELogLayerQuantizedFixture = LogQuantizedValidationFixture<Tensor, Accessor, NELogLayer, T>;

TEST_SUITE(Float)
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NELogLayerFixture<half>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType",
                                                                                                     DataType::F16)))
{
    // Validate output
    validate(Accessor(_target), _reference, tolerance_fp16);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NELogLayerFixture<half>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType",
                                                                                                   DataType::F16)))
{
    // Validate output
    validate(Accessor(_target), _reference, tolerance_fp16);
}

TEST_SUITE_END() // FP16
#endif           // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC

TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NELogLayerFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), framework::dataset::make("DataType",
                                                                                                DataType::F32)))
{
    // Validate output
    validate(Accessor(_target), _reference, tolerance_fp32);
}

FIXTURE_DATA_TEST_CASE(RunLarge, NELogLayerFixture<float>, framework::DatasetMode::NIGHTLY, combine(datasets::LargeShapes(), framework::dataset::make("DataType",
                                                                                                    DataType::F32)))
{
    // Validate output
    validate(Accessor(_target), _reference, tolerance_fp32);
}
TEST_SUITE_END() // FP32
TEST_SUITE_END() // Float

TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)
FIXTURE_DATA_TEST_CASE(RunSmall, NELogLayerQuantizedFixture<uint8_t>, framework::DatasetMode::ALL, combine(combine(combine(
                       datasets::SmallShapes(),
                       framework::dataset::make("DataType", DataType::QASYMM8)),
                       framework::dataset::make("InputQInfo", { QuantizationInfo(10.5, 0), QuantizationInfo(0.5, -10)  })),
                       framework::dataset::make("OutputQInfo", { QuantizationInfo(5, 10) })))
{
    // Validate output
    validate(Accessor(_target), _reference, tolerance_qasymm8);
}
TEST_SUITE_END() // QASYMM8

TEST_SUITE(QASYMM8_SIGNED)
FIXTURE_DATA_TEST_CASE(RunSmall, NELogLayerQuantizedFixture<int8_t>, framework::DatasetMode::ALL, combine(combine(combine(
                       datasets::SmallShapes(),
                       framework::dataset::make("DataType", DataType::QASYMM8_SIGNED)),
                       framework::dataset::make("InputQInfo", { QuantizationInfo(0.75, -128) })),
                       framework::dataset::make("OutputQInfo", { QuantizationInfo(12.5, -2) })))
{
    // Validate output
    validate(Accessor(_target), _reference, tolerance_qasymm8_signed);
}
TEST_SUITE_END() // QASYMM8_SIGNED
TEST_SUITE_END() // Quantized

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