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/*
* Copyright (c) 2019-2023 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/core/Types.h"
#include "arm_compute/core/utils/StringUtils.h"
#include "arm_compute/runtime/NEON/functions/NECast.h"
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"
#include "src/common/cpuinfo/CpuIsaInfo.h"
#include "src/cpu/kernels/CpuCastKernel.h"
#include "tests/NEON/Accessor.h"
#include "tests/PaddingCalculator.h"
#include "tests/datasets/ConvertPolicyDataset.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/CastFixture.h"
namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
// Tolerance
constexpr AbsoluteTolerance<float> one_tolerance(1);
constexpr AbsoluteTolerance<float> zero_tolerance(0);
/*
*This function ignores the scale and zeroPoint of quanized tensors,so QASYMM8 input is treated as uint8 values.
*/
/** Input data sets **/
// QASYMM8_SIGNED
const auto CastQASYMM8_SIGNEDtoS16Dataset = combine(framework::dataset::make("DataType", DataType::QASYMM8_SIGNED), framework::dataset::make("DataType", DataType::S16));
const auto CastQASYMM8_SIGNEDtoS32Dataset = combine(framework::dataset::make("DataType", DataType::QASYMM8_SIGNED), framework::dataset::make("DataType", DataType::S32));
const auto CastQASYMM8_SIGNEDtoF32Dataset = combine(framework::dataset::make("DataType", DataType::QASYMM8_SIGNED), framework::dataset::make("DataType", DataType::F32));
const auto CastQASYMM8_SIGNEDtoF16Dataset = combine(framework::dataset::make("DataType", DataType::QASYMM8_SIGNED), framework::dataset::make("DataType", DataType::F16));
// QASYMM8
const auto CastQASYMM8toF16Dataset = combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::F16));
const auto CastQASYMM8toF32Dataset = combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::F32));
const auto CastQASYMM8toS32Dataset = combine(framework::dataset::make("DataType", DataType::QASYMM8), framework::dataset::make("DataType", DataType::S32));
// U8
const auto CastU8toU16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::U16));
const auto CastU8toS16Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::S16));
const auto CastU8toS32Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::S32));
const auto CastU8toF32Dataset = combine(framework::dataset::make("DataType", DataType::U8), framework::dataset::make("DataType", DataType::F32));
// U16
const auto CastU16toU8Dataset = combine(framework::dataset::make("DataType", DataType::U16), framework::dataset::make("DataType", DataType::U8));
const auto CastU16toU32Dataset = combine(framework::dataset::make("DataType", DataType::U16), framework::dataset::make("DataType", DataType::U32));
// S16
const auto CastS16toQASYMM8_SIGNEDDataset = combine(framework::dataset::make("DataType", DataType::S16), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED));
const auto CastS16toU8Dataset = combine(framework::dataset::make("DataType", DataType::S16), framework::dataset::make("DataType", DataType::U8));
const auto CastS16toS32Dataset = combine(framework::dataset::make("DataType", DataType::S16), framework::dataset::make("DataType", DataType::S32));
//S32
const auto CastS32toF16Dataset = combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::F16));
const auto CastS32toU8Dataset = combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::U8));
const auto CastS32toF32Dataset = combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::F32));
const auto CastS32toQASYMM8Dataset = combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::QASYMM8));
const auto CastS32toQASYMM8_SIGNEDDataset = combine(framework::dataset::make("DataType", DataType::S32), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED));
// F16
const auto CastF16toF32Dataset = combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F32));
const auto CastF16toS32Dataset = combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::S32));
const auto CastF16toQASYMM8Dataset = combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::QASYMM8));
const auto CastF16toQASYMM8_SIGNEDDataset = combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED));
// F32
const auto CastF32toU8Dataset = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::U8));
const auto CastF32toF16Dataset = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F16));
const auto CastF32toS32Dataset = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::S32));
const auto CastF32toQASYMM8Dataset = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::QASYMM8));
const auto CastF32toQASYMM8_SIGNEDDataset = combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::QASYMM8_SIGNED));
// U64
const auto CastU64toF32Dataset = combine(framework::dataset::make("DataType", DataType::U64), framework::dataset::make("DataType", DataType::F32));
// S64
const auto CastS64toF32Dataset = combine(framework::dataset::make("DataType", DataType::S64), framework::dataset::make("DataType", DataType::F32));
} // namespace
TEST_SUITE(NEON)
TEST_SUITE(Cast)
template <typename T>
using NECastToU8Fixture = CastValidationFixture<Tensor, Accessor, NECast, T, uint8_t>;
template <typename T>
using NECastToS8Fixture = CastValidationFixture<Tensor, Accessor, NECast, T, int8_t>;
template <typename T>
using NECastToU16Fixture = CastValidationFixture<Tensor, Accessor, NECast, T, uint16_t>;
template <typename T>
using NECastToS16Fixture = CastValidationFixture<Tensor, Accessor, NECast, T, int16_t>;
template <typename T>
using NECastToU32Fixture = CastValidationFixture<Tensor, Accessor, NECast, T, uint32_t>;
template <typename T>
using NECastToS32Fixture = CastValidationFixture<Tensor, Accessor, NECast, T, int32_t>;
template <typename T>
using NECastToU64Fixture = CastValidationFixture<Tensor, Accessor, NECast, T, uint64_t>;
template <typename T>
using NECastToS64Fixture = CastValidationFixture<Tensor, Accessor, NECast, T, int64_t>;
template <typename T>
using NECastToF16Fixture = CastValidationFixture<Tensor, Accessor, NECast, T, half>;
template <typename T>
using NECastToF32Fixture = CastValidationFixture<Tensor, Accessor, NECast, T, float>;
template <typename T>
using NECastToQASYMM8Fixture = CastValidationFixture<Tensor, Accessor, NECast, T, uint8_t>;
template <typename T>
using NECastToQASYMM8_SIGNEDFixture = CastValidationFixture<Tensor, Accessor, NECast, T, int8_t>;
#define CAST_SUITE(NAME, idt, odt, type, dataset, tolerance) \
TEST_SUITE(NAME) \
FIXTURE_DATA_TEST_CASE(RunSmall, type, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), dataset), \
datasets::ConvertPolicies())) \
{ \
validate(Accessor(_target), _reference, tolerance); \
} \
TEST_SUITE_END()
//QASYMM8_SIGNED
CAST_SUITE(QASYMM8_SIGNED_to_S16, DataType::QASYMM8_SIGNED, DataType::S16, NECastToS16Fixture<int8_t>, CastQASYMM8_SIGNEDtoS16Dataset, one_tolerance)
CAST_SUITE(QASYMM8_SIGNED_to_S32, DataType::QASYMM8_SIGNED, DataType::S32, NECastToS32Fixture<int8_t>, CastQASYMM8_SIGNEDtoS32Dataset, one_tolerance)
CAST_SUITE(QASYMM8_SIGNED_to_F32, DataType::QASYMM8_SIGNED, DataType::F32, NECastToF32Fixture<int8_t>, CastQASYMM8_SIGNEDtoF32Dataset, one_tolerance)
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
CAST_SUITE(QASYMM8_SIGNED_to_F16, DataType::QASYMM8_SIGNED, DataType::F16, NECastToF16Fixture<int8_t>, CastQASYMM8_SIGNEDtoF16Dataset, one_tolerance)
#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
//QASYMM8
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
CAST_SUITE(QASYMM8_to_F16, DataType::QASYMM8, DataType::F16, NECastToF16Fixture<uint8_t>, CastQASYMM8toF16Dataset, one_tolerance)
#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
CAST_SUITE(QASYMM8_to_F32, DataType::QASYMM8, DataType::F32, NECastToF32Fixture<uint8_t>, CastQASYMM8toF32Dataset, one_tolerance)
CAST_SUITE(QASYMM8_to_S32, DataType::QASYMM8, DataType::S32, NECastToS32Fixture<uint8_t>, CastQASYMM8toS32Dataset, one_tolerance)
// U8
CAST_SUITE(U8_to_U16, DataType::U8, DataType::U16, NECastToU16Fixture<uint8_t>, CastU8toU16Dataset, zero_tolerance)
CAST_SUITE(U8_to_S16, DataType::U8, DataType::S16, NECastToS16Fixture<uint8_t>, CastU8toS16Dataset, zero_tolerance)
CAST_SUITE(U8_to_S32, DataType::U8, DataType::S32, NECastToS32Fixture<uint8_t>, CastU8toS32Dataset, zero_tolerance)
CAST_SUITE(U8_to_F32, DataType::U8, DataType::F32, NECastToF32Fixture<uint8_t>, CastU8toF32Dataset, zero_tolerance)
// U16
CAST_SUITE(U16_to_U8, DataType::U16, DataType::U8, NECastToU8Fixture<uint16_t>, CastU16toU8Dataset, zero_tolerance)
CAST_SUITE(U16_to_U32, DataType::U16, DataType::U32, NECastToU32Fixture<uint16_t>, CastU16toU32Dataset, zero_tolerance)
// S16
CAST_SUITE(S16_to_QASYMM8_SIGNED, DataType::S16, DataType::QASYMM8_SIGNED, NECastToQASYMM8_SIGNEDFixture<int16_t>, CastS16toQASYMM8_SIGNEDDataset, zero_tolerance)
CAST_SUITE(S16_to_U8, DataType::S16, DataType::U8, NECastToU8Fixture<int16_t>, CastS16toU8Dataset, zero_tolerance)
CAST_SUITE(S16_to_S32, DataType::S16, DataType::S32, NECastToS32Fixture<int16_t>, CastS16toS32Dataset, zero_tolerance)
// S32
CAST_SUITE(S32_to_QASYMM8_SIGNED, DataType::S32, DataType::QASYMM8_SIGNED, NECastToQASYMM8_SIGNEDFixture<int32_t>, CastS32toQASYMM8_SIGNEDDataset, one_tolerance)
CAST_SUITE(S32_to_QASYMM8, DataType::S32, DataType::QASYMM8, NECastToQASYMM8Fixture<int32_t>, CastS32toQASYMM8Dataset, one_tolerance)
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
CAST_SUITE(S32_to_F16, DataType::S32, DataType::F16, NECastToF16Fixture<int32_t>, CastS32toF16Dataset, zero_tolerance)
#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
CAST_SUITE(S32_to_F32, DataType::S32, DataType::F32, NECastToF32Fixture<int32_t>, CastS32toF32Dataset, one_tolerance)
CAST_SUITE(S32_to_U8, DataType::S32, DataType::U8, NECastToU8Fixture<int32_t>, CastS32toU8Dataset, one_tolerance)
// F16
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
CAST_SUITE(F16_to_QASYMM8_SIGNED, DataType::F16, DataType::QASYMM8_SIGNED, NECastToQASYMM8_SIGNEDFixture<half>, CastF16toQASYMM8_SIGNEDDataset, one_tolerance)
CAST_SUITE(F16_to_QASYMM8, DataType::F16, DataType::QASYMM8, NECastToQASYMM8Fixture<half>, CastF16toQASYMM8Dataset, one_tolerance)
CAST_SUITE(F16_to_F32, DataType::F16, DataType::F32, NECastToF32Fixture<half>, CastF16toF32Dataset, zero_tolerance)
CAST_SUITE(F16_to_S32, DataType::F16, DataType::S32, NECastToS32Fixture<half>, CastF16toS32Dataset, one_tolerance)
#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
// F32
CAST_SUITE(F32_to_QASYMM8_SIGNED, DataType::F32, DataType::QASYMM8_SIGNED, NECastToQASYMM8_SIGNEDFixture<float>, CastF32toQASYMM8_SIGNEDDataset, one_tolerance)
CAST_SUITE(F32_to_QASYMM8, DataType::F32, DataType::QASYMM8, NECastToQASYMM8Fixture<float>, CastF32toQASYMM8Dataset, one_tolerance)
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
CAST_SUITE(F32_to_F16, DataType::F32, DataType::F16, NECastToF16Fixture<float>, CastF32toF16Dataset, zero_tolerance)
#endif // __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
CAST_SUITE(F32_to_S32, DataType::F32, DataType::S32, NECastToS32Fixture<float>, CastF32toS32Dataset, one_tolerance)
CAST_SUITE(F32_to_U8, DataType::F32, DataType::S32, NECastToS32Fixture<float>, CastF32toS32Dataset, one_tolerance)
#ifdef __aarch64__
// S64
CAST_SUITE(S64_to_F32, DataType::S64, DataType::F32, NECastToF32Fixture<int64_t>, CastS64toF32Dataset, zero_tolerance)
// U64
CAST_SUITE(U64_to_F32, DataType::U64, DataType::F32, NECastToF32Fixture<uint64_t>, CastU64toF32Dataset, zero_tolerance)
#endif // __aarch64__
DATA_TEST_CASE(KernelSelectionDstFP16, framework::DatasetMode::ALL,
combine(framework::dataset::make("CpuExt", std::string("NEON")),
framework::dataset::make("DataType",
{
DataType::F16,
DataType::U8,
DataType::S32,
DataType::QASYMM8,
DataType::QASYMM8_SIGNED,
})),
cpu_ext, data_type)
{
using namespace cpu::kernels;
const CpuCastKernel::CastKernel *selected_impl;
cpuinfo::CpuIsaInfo cpu_isa{};
cpu_isa.neon = (cpu_ext == "NEON");
cpu_isa.fp16 = true;
selected_impl = CpuCastKernel::get_implementation(CastDataTypeISASelectorData{ data_type, DataType::F16, cpu_isa }, cpu::KernelSelectionType::Preferred);
ARM_COMPUTE_ERROR_ON_NULLPTR(selected_impl);
std::string expected = lower_string(cpu_ext) + "_" + cpu_impl_dt(data_type) + "_cast";
std::string actual = selected_impl->name;
ARM_COMPUTE_EXPECT_EQUAL(expected, actual, framework::LogLevel::ERRORS);
}
DATA_TEST_CASE(KernelSelectionSrcFP32, framework::DatasetMode::ALL,
combine(framework::dataset::make("CpuExt", std::string("NEON")),
framework::dataset::make("DataType",
{
DataType::F16,
})),
cpu_ext, data_type)
{
using namespace cpu::kernels;
cpuinfo::CpuIsaInfo cpu_isa{};
cpu_isa.neon = (cpu_ext == "NEON");
cpu_isa.fp16 = (data_type == DataType::F16);
const auto *selected_impl = CpuCastKernel::get_implementation(CastDataTypeISASelectorData{ DataType::F32, data_type, cpu_isa }, cpu::KernelSelectionType::Preferred);
ARM_COMPUTE_ERROR_ON_NULLPTR(selected_impl);
std::string expected = lower_string(cpu_ext) + "_fp32_to_" + cpu_impl_dt(data_type) + "_cast";
std::string actual = selected_impl->name;
ARM_COMPUTE_EXPECT_EQUAL(expected, actual, framework::LogLevel::ERRORS);
}
TEST_SUITE_END() // Cast
TEST_SUITE_END() // Neon
} // namespace validation
} // namespace test
} // namespace arm_compute
|
