xref: /aosp_15_r20/external/ComputeLibrary/tests/validation/NEON/Floor.cpp (revision c217d954acce2dbc11938adb493fc0abd69584f3)

/*
 * Copyright (c) 2017-2020, 2022 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/runtime/NEON/functions/NEFloor.h"
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"
#include "src/common/cpuinfo/CpuIsaInfo.h"
#include "src/cpu/kernels/CpuFloorKernel.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/FloorFixture.h"

namespace arm_compute
{
namespace test
{
namespace validation
{
TEST_SUITE(NEON)
TEST_SUITE(Floor)

// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(
        framework::dataset::make("InputInfo", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::U8),  // Wrong data type
                                                TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Invalid data type combination
                                                TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32), // Mismatching shapes
                                                TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
        }),
        framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
                                                TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F16),
                                                TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
                                                TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
        })),
                                                          framework::dataset::make("Expected", { false, false, false, true })),
               input_info, output_info, expected)
{
    const Status status = NEFloor::validate(&input_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false));
    ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS);
}


DATA_TEST_CASE(KernelSelection, framework::DatasetMode::ALL,
               combine(framework::dataset::make("CpuExt", std::string("NEON")),
                       framework::dataset::make("DataType", { DataType::F32,
                                                              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 = CpuFloorKernel::get_implementation(DataTypeISASelectorData{data_type, cpu_isa}, cpu::KernelSelectionType::Preferred);

    ARM_COMPUTE_ERROR_ON_NULLPTR(selected_impl);

    std::string expected = lower_string(cpu_ext) + "_" + cpu_impl_dt(data_type) + "_floor";
    std::string actual   = selected_impl->name;

    ARM_COMPUTE_EXPECT_EQUAL(expected, actual, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*

template <typename T>
using NEFloorFixture = FloorValidationFixture<Tensor, Accessor, NEFloor, T>;

TEST_SUITE(Float)
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEFloorFixture<half>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F16)))
{
    // Validate output
    validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEFloorFixture<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, NEFloorFixture<float>, framework::DatasetMode::PRECOMMIT, combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::F32)))
{
    // Validate output
    validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEFloorFixture<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_END()
TEST_SUITE_END()
} // namespace validation
} // namespace test
} // namespace arm_compute