tests/validation/CL/ArgMinMax.cpp

/*
 * Copyright (c) 2018-2020 ARM Limited.
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 * SPDX-License-Identifier: MIT
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 * furnished to do so, subject to the following conditions:
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 * The above copyright notice and this permission notice shall be included in all
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#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/CL/CLTensor.h"
#include "arm_compute/runtime/CL/CLTensorAllocator.h"
#include "arm_compute/runtime/CL/functions/CLArgMinMaxLayer.h"
#include "arm_compute/runtime/CL/functions/CLReductionOperation.h"

#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "tests/CL/CLAccessor.h"
#include "tests/datasets/ShapeDatasets.h"
#include "tests/datasets/SplitDataset.h"
#include "tests/framework/Asserts.h"
#include "tests/framework/Macros.h"
#include "tests/validation/Validation.h"
#include "tests/validation/fixtures/ArgMinMaxFixture.h"

namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
const auto ArgMinMaxSmallDataset = framework::dataset::make("Shape",
{
    TensorShape{ 2U, 7U, 1U, 3U },
    TensorShape{ 128U, 64U, 21U, 3U },
    TensorShape{ 2560, 2U, 2U, 2U },
});

const auto ArgMinMaxLargeDataset = framework::dataset::make("Shape",
{ TensorShape{ 517U, 123U, 13U, 2U } });
} // namespace
TEST_SUITE(CL)
TEST_SUITE(ArgMinMax)

// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
        framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), // Invalid axis
                                                TensorInfo(TensorShape(27U, 3U, 16U, 2U), 1, DataType::F32), // Invalid output shape
                                                TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32),
                                                TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32), // Invalid operation
                                                TensorInfo(TensorShape(32U, 16U, 16U, 2U), 1, DataType::F32) // Not allowed keeping the dimension 
        }),
        framework::dataset::make("OutputInfo", { TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32),
                                                 TensorInfo(TensorShape(27U, 3U, 2U), 1, DataType::F32),
                                                 TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::S32),
                                                 TensorInfo(TensorShape(32U, 16U, 2U), 1, DataType::F32),
                                                 TensorInfo(TensorShape(32U, 16U, 1U, 2U), 1, DataType::U32)
        })),
        framework::dataset::make("Axis", { 4, 0, 2, 0, 2 })),
        framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MAX, ReductionOperation::ARG_IDX_MAX, ReductionOperation::ARG_IDX_MAX, ReductionOperation::MEAN_SUM, ReductionOperation::ARG_IDX_MAX })),
        framework::dataset::make("Expected", { false, false, true, false, false })),
        input_info, output_info, axis, operation, expected)
{
    const Status status = CLArgMinMaxLayer::validate(&input_info.clone()->set_is_resizable(false), axis, &output_info.clone()->set_is_resizable(false), operation);
    ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*

template <typename T>
using CLArgMinMaxValidationFixture = ArgMinMaxValidationFixture<CLTensor, CLAccessor, CLArgMinMaxLayer, T>;

TEST_SUITE(S32)
FIXTURE_DATA_TEST_CASE(RunSmall,
                       CLArgMinMaxValidationFixture<int32_t>,
                       framework::DatasetMode::PRECOMMIT,
                       combine(combine(combine(ArgMinMaxSmallDataset, framework::dataset::make("DataType", DataType::S32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
                               framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge,
                       CLArgMinMaxValidationFixture<int32_t>,
                       framework::DatasetMode::NIGHTLY,
                       combine(combine(combine(ArgMinMaxLargeDataset, framework::dataset::make("DataType", DataType::S32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
                               framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}
TEST_SUITE_END() // S32

TEST_SUITE(Float)
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall,
                       CLArgMinMaxValidationFixture<half>,
                       framework::DatasetMode::PRECOMMIT,
                       combine(combine(combine(ArgMinMaxSmallDataset, framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
                               framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}

FIXTURE_DATA_TEST_CASE(RunLarge,
                       CLArgMinMaxValidationFixture<half>,
                       framework::DatasetMode::NIGHTLY,
                       combine(combine(combine(ArgMinMaxLargeDataset, framework::dataset::make("DataType", DataType::F16)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
                               framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}
TEST_SUITE_END() // FP16

TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall,
                       CLArgMinMaxValidationFixture<float>,
                       framework::DatasetMode::PRECOMMIT,
                       combine(combine(combine(ArgMinMaxSmallDataset, framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
                               framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}

FIXTURE_DATA_TEST_CASE(RunLarge,
                       CLArgMinMaxValidationFixture<float>,
                       framework::DatasetMode::NIGHTLY,
                       combine(combine(combine(ArgMinMaxLargeDataset, framework::dataset::make("DataType", DataType::F32)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
                               framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}
TEST_SUITE_END() // FP32
TEST_SUITE_END() // Float

template <typename T>
using CLArgMinMaxQuantizedValidationFixture = ArgMinMaxValidationQuantizedFixture<CLTensor, CLAccessor, CLArgMinMaxLayer, T>;

TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)
FIXTURE_DATA_TEST_CASE(RunSmall,
                       CLArgMinMaxQuantizedValidationFixture<uint8_t>,
                       framework::DatasetMode::PRECOMMIT,
                       combine(combine(combine(combine(ArgMinMaxSmallDataset, framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
                                       framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })),
                               framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}

FIXTURE_DATA_TEST_CASE(RunLarge,
                       CLArgMinMaxQuantizedValidationFixture<uint8_t>,
                       framework::DatasetMode::NIGHTLY,
                       combine(combine(combine(combine(ArgMinMaxLargeDataset, framework::dataset::make("DataType", DataType::QASYMM8)), framework::dataset::make("Axis", { 0, 1, 2, 3 })),
                                       framework::dataset::make("Operation", { ReductionOperation::ARG_IDX_MIN, ReductionOperation::ARG_IDX_MAX })),
                               framework::dataset::make("QuantizationInfo", { QuantizationInfo(5.f / 255.f, 20) })))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}
TEST_SUITE_END() // QASYMM8
TEST_SUITE_END() // Quantized
TEST_SUITE_END() // ArgMinMax
TEST_SUITE_END() // CL
} // namespace validation
} // namespace test
} // namespace arm_compute