tests/validation/CL/Gather.cpp

/*
 * Copyright (c) 2018-2020, 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
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 *
 * The above copyright notice and this permission notice shall be included in all
 * copies or substantial portions of the Software.
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 * SOFTWARE.
 */
#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/CLGather.h"
#include "tests/CL/CLAccessor.h"
#include "tests/datasets/GatherDataset.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/GatherFixture.h"

namespace arm_compute
{
namespace test
{
namespace validation
{
TEST_SUITE(CL)
TEST_SUITE(Gather)

// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
        framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 27U), 1, DataType::F16),
                                                TensorInfo(TensorShape(27U, 27U), 1, DataType::F32),
                                                TensorInfo(TensorShape(27U, 27U), 1, DataType::F32),
                                                TensorInfo(TensorShape(27U, 27U), 1, DataType::F32),                // Invalid Output shape
                                                TensorInfo(TensorShape(27U, 27U), 1, DataType::F32),                // Invalid Indices data type
                                                TensorInfo(TensorShape(27U, 27U), 1, DataType::F32),                // Invalid Indices dimensionality
                                                TensorInfo(TensorShape(5U, 5U, 5U, 5U, 5U), 1, DataType::F32),      // Invalid Input dimensionality
                                                TensorInfo(TensorShape(27U, 27U), 1, DataType::F16),                // Mismatching data type input/output
                                                TensorInfo(TensorShape(27U, 27U), 1, DataType::F32),                // Invalid positive axis value
                                                TensorInfo(TensorShape(27U, 27U), 1, DataType::F16),                // Invalid negative axis value
        }),
        framework::dataset::make("IndicesInfo", {
                                                TensorInfo(TensorShape(10U), 1, DataType::U32),
                                                TensorInfo(TensorShape(10U), 1, DataType::U32),
                                                TensorInfo(TensorShape(10U), 1, DataType::U32),
                                                TensorInfo(TensorShape(10U, 10U), 1, DataType::U32),
                                                TensorInfo(TensorShape(10U), 1, DataType::U8),
                                                TensorInfo(TensorShape(10U, 10U, 10U, 10U), 1, DataType::U32),
                                                TensorInfo(TensorShape(10U), 1, DataType::U32),
                                                TensorInfo(TensorShape(10U), 1, DataType::U32),
                                                TensorInfo(TensorShape(10U), 1, DataType::U32),
                                                TensorInfo(TensorShape(10U), 1, DataType::U32),
        })),
        framework::dataset::make("OutputInfo", {
                                                TensorInfo(TensorShape(10U, 27U), 1, DataType::F16),
                                                TensorInfo(TensorShape(27U, 10U), 1, DataType::F32),
                                                TensorInfo(TensorShape(10U, 27U), 1, DataType::F32),
                                                TensorInfo(TensorShape(10U, 27U), 1, DataType::F32),
                                                TensorInfo(TensorShape(10U, 27U), 1, DataType::F32),
                                                TensorInfo(TensorShape(27U, 10U, 10U, 10U, 10U), 1, DataType::F32),
                                                TensorInfo(TensorShape(10U, 5U, 5U, 5U, 5U), 1, DataType::F32),
                                                TensorInfo(TensorShape(27U, 10U), 1, DataType::F32),
                                                TensorInfo(TensorShape(27U, 27U), 1, DataType::F32),
                                                TensorInfo(TensorShape(27U, 27U), 1, DataType::F16),
        })),
        framework::dataset::make("Axis", {
                                            0,
                                            1,
                                            -2,
                                            0,
                                            0,
                                            1,
                                            0,
                                            1,
                                            2,
                                            -3,
        })),
        framework::dataset::make("Expected", { true, true, true, false, false, false, false, false, false, false })),
        input_info, indices_info, output_info, axis, expected)
{
    const Status status = CLGather::validate(&input_info.clone()->set_is_resizable(true), &indices_info.clone()->set_is_resizable(true), &output_info.clone()->set_is_resizable(true), axis);
    ARM_COMPUTE_EXPECT(bool(status) == expected, framework::LogLevel::ERRORS);
}
// clang-format on
// *INDENT-ON*

template <typename T>
using CLGatherFixture = GatherFixture<CLTensor, CLAccessor, CLGather, T>;

TEST_SUITE(Float)
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall,
                       CLGatherFixture<half>,
                       framework::DatasetMode::PRECOMMIT,
                       combine(datasets::SmallGatherDataset(), framework::dataset::make("DataType", DataType::F16)))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}

FIXTURE_DATA_TEST_CASE(RunSmallMultiDimIndices,
                       CLGatherFixture<half>,
                       framework::DatasetMode::PRECOMMIT,
                       combine(datasets::CLSmallGatherMultiDimIndicesDataset(), framework::dataset::make("DataType", DataType::F16)))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}

FIXTURE_DATA_TEST_CASE(RunLarge,
                       CLGatherFixture<half>,
                       framework::DatasetMode::NIGHTLY,
                       combine(datasets::LargeGatherDataset(), framework::dataset::make("DataType", DataType::F16)))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}
TEST_SUITE_END() // FP16

TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall,
                       CLGatherFixture<float>,
                       framework::DatasetMode::PRECOMMIT,
                       combine(datasets::SmallGatherDataset(), framework::dataset::make("DataType", DataType::F32)))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}

FIXTURE_DATA_TEST_CASE(RunSmallMultiDimIndices,
                       CLGatherFixture<float>,
                       framework::DatasetMode::PRECOMMIT,
                       combine(datasets::CLSmallGatherMultiDimIndicesDataset(), framework::dataset::make("DataType", DataType::F32)))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}

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

TEST_SUITE(U8)
FIXTURE_DATA_TEST_CASE(RunSmall,
                       CLGatherFixture<uint8_t>,
                       framework::DatasetMode::PRECOMMIT,
                       combine(datasets::SmallGatherDataset(), framework::dataset::make("DataType", DataType::U8)))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}

FIXTURE_DATA_TEST_CASE(RunSmallMultiDimIndices,
                       CLGatherFixture<uint8_t>,
                       framework::DatasetMode::PRECOMMIT,
                       combine(datasets::CLSmallGatherMultiDimIndicesDataset(), framework::dataset::make("DataType", DataType::U8)))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}

FIXTURE_DATA_TEST_CASE(RunLarge,
                       CLGatherFixture<uint8_t>,
                       framework::DatasetMode::NIGHTLY,
                       combine(datasets::LargeGatherDataset(), framework::dataset::make("DataType", DataType::U8)))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}
TEST_SUITE_END() // U8

TEST_SUITE(U16)
FIXTURE_DATA_TEST_CASE(RunSmall,
                       CLGatherFixture<uint16_t>,
                       framework::DatasetMode::PRECOMMIT,
                       combine(datasets::SmallGatherDataset(), framework::dataset::make("DataType", DataType::U16)))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}

FIXTURE_DATA_TEST_CASE(RunSmallMultiDimIndices,
                       CLGatherFixture<uint16_t>,
                       framework::DatasetMode::PRECOMMIT,
                       combine(datasets::CLSmallGatherMultiDimIndicesDataset(), framework::dataset::make("DataType", DataType::U16)))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}


FIXTURE_DATA_TEST_CASE(RunLarge,
                       CLGatherFixture<uint16_t>,
                       framework::DatasetMode::NIGHTLY,
                       combine(datasets::LargeGatherDataset(), framework::dataset::make("DataType", DataType::U16)))
{
    // Validate output
    validate(CLAccessor(_target), _reference);
}
TEST_SUITE_END() // U16

TEST_SUITE_END() // Gather
TEST_SUITE_END() // CL
} // namespace validation
} // namespace test
} // namespace arm_compute