tests/validation/NEON/ElementwiseDivision.cpp

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#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/NEON/functions/NEElementwiseOperations.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/ElementwiseOperationsFixture.h"

namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
RelativeTolerance<float> tolerance_fp32(0.000001f);
AbsoluteTolerance<int>   tolerance_zero_s32(1); // Tolerance for S32 division

/** Input data sets **/
const auto ElementwiseDivisionS32Dataset = combine(combine(framework::dataset::make("DataType", DataType::S32),
                                                           framework::dataset::make("DataType", DataType::S32)),
                                                   framework::dataset::make("DataType", DataType::S32));
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
RelativeTolerance<half> tolerance_fp16(static_cast<half>(0.01f));
const auto              ElementwiseDivisionFP16Dataset = combine(combine(framework::dataset::make("DataType", DataType::F16), framework::dataset::make("DataType", DataType::F16)),
                                                                 framework::dataset::make("DataType", DataType::F16));
#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
const auto ElementwiseDivisionFP32Dataset = combine(combine(framework::dataset::make("DataType", DataType::F32), framework::dataset::make("DataType", DataType::F32)),
                                                    framework::dataset::make("DataType", DataType::F32));
} // namespace

TEST_SUITE(NEON)
TEST_SUITE(ElementwiseDivision)

template <typename T>
using NEElementwiseDivisionFixture = ArithmeticDivisionValidationFixture<Tensor, Accessor, NEElementwiseDivision, T>;

// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(
               framework::dataset::make("Input1Info", { TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
                                                        TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),     // Invalid data type combination
                                                        TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),     // Mismatching shapes
                                                      }),
               framework::dataset::make("Input2Info",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::S32),
                                                       TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
                                                     })),
               framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(48U, 11U, 2U), 1, DataType::F32),
                                                     })),
               framework::dataset::make("Expected", { true, true, true, false, false})),
               input1_info, input2_info, output_info, expected)
{
    ARM_COMPUTE_EXPECT(bool(NEElementwiseDivision::validate(&input1_info.clone()->set_is_resizable(false), &input2_info.clone()->set_is_resizable(false), &output_info.clone()->set_is_resizable(false))) == expected, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*

// Test test cases will execute the function with dynamic-stated shapes
// Since other elementwise operations share the same kernel, this tests are added only here.
// Also, only FP32 is tested since data type doesn't/shouldn't matter with dynamic shapes.
TEST_SUITE(DynamicShape)
template <typename T>
using CpuElementwiseDivisionDynamicShapeFixture = ArithmeticDivisionDynamicShapeValidationFixture<Tensor, Accessor, NEElementwiseDivision, T>;

template <typename T>
using CpuElementwiseDivisionBroadcastDynamicShapeFixture = ArithmeticDivisionBroadcastDynamicShapeValidationFixture<Tensor, Accessor, NEElementwiseDivision, T>;

TEST_SUITE(F32)

FIXTURE_DATA_TEST_CASE(RunSmall, CpuElementwiseDivisionDynamicShapeFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseDivisionFP32Dataset))
{
    // Validate output
    validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
}

FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, CpuElementwiseDivisionBroadcastDynamicShapeFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(),
                       ElementwiseDivisionFP32Dataset))
{
    // Validate output
    validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
}

TEST_SUITE_END() // F32
TEST_SUITE_END() // DynamicShape

TEST_SUITE(Float)
#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(F16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseDivisionFixture<half>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseDivisionFP16Dataset))
{
    // Validate output
    validate(Accessor(_target), _reference, tolerance_fp16, 0.01);
}
TEST_SUITE_END() // F16
#endif           /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */

TEST_SUITE(F32)
FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseDivisionFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseDivisionFP32Dataset))
{
    // Validate output
    validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
}

template <typename T>
using NEElementwiseDivisionBroadcastFixture = ArithmeticDivisionBroadcastValidationFixture<Tensor, Accessor, NEElementwiseDivision, T>;

FIXTURE_DATA_TEST_CASE(RunSmallBroadcast, NEElementwiseDivisionBroadcastFixture<float>, framework::DatasetMode::ALL, combine(datasets::SmallShapesBroadcast(),
                       ElementwiseDivisionFP32Dataset))
{
    // Validate output
    validate(Accessor(_target), _reference, tolerance_fp32, 0.01);
}
TEST_SUITE_END() // F32
TEST_SUITE_END() // Float

TEST_SUITE(Integer)
TEST_SUITE(S32)
FIXTURE_DATA_TEST_CASE(RunSmall, NEElementwiseDivisionFixture<int32_t>, framework::DatasetMode::ALL, combine(datasets::SmallShapes(), ElementwiseDivisionS32Dataset))
{
    // Validate output
    validate(Accessor(_target), _reference, tolerance_zero_s32);
}
TEST_SUITE_END() // S32
TEST_SUITE_END() // Integer

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