tests/validation/NEON/PadLayer.cpp

/*
 * Copyright (c) 2018-2021 Arm Limited.
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 * SPDX-License-Identifier: MIT
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#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/NEON/functions/NEPadLayer.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/PadLayerFixture.h"

namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
const auto PaddingSizesDataset = framework::dataset::make("PaddingSize",
{
    PaddingList{ { 0, 0 } },
    PaddingList{ { 1, 1 } },
    PaddingList{ { 1, 1 }, { 2, 2 } },
    PaddingList{ { 1, 1 }, { 1, 1 }, { 1, 1 } },
    PaddingList{ { 0, 0 }, { 1, 0 }, { 0, 1 } },
    PaddingList{ { 0, 1 }, { 1, 0 }, { 0, 1 } },
});
} // namespace

TEST_SUITE(NEON)
TEST_SUITE(PadLayer)

// *INDENT-OFF*
// clang-format off

DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
               framework::dataset::make("InputInfo", { TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),     // Mismatching data type input/output
                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),     // Mismatching shapes
                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),     // Mismatching data type input/output
                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),     // Mismatching shapes
                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(32U, 13U, 2U), 1, DataType::F32)
                                                     }),
               framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16),
                                                       TensorInfo(TensorShape(28U, 11U, 2U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(29U, 15U, 4U, 3U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(27U, 14U, 3U, 4U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(32U, 13U, 2U, 3U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(27U, 13U, 2U), 1, DataType::F16),
                                                       TensorInfo(TensorShape(28U, 11U, 2U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(29U, 17U, 2U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(29U, 15U, 4U, 3U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(27U, 14U, 3U, 4U), 1, DataType::F32),
                                                       TensorInfo(TensorShape(32U, 13U, 2U, 3U), 1, DataType::F32)
                                                     })),
               framework::dataset::make("PaddingSize", { PaddingList{{0, 0}},
                                                         PaddingList{{1, 1}},
                                                         PaddingList{{1, 1}, {2, 2}},
                                                         PaddingList{{1,1}, {1,1}, {1,1}, {1,1}},
                                                         PaddingList{{0,0}, {1,0}, {0,1}, {1,2}},
                                                         PaddingList{{0,0}, {0,0}, {0,0}, {1,1}},
                                                         PaddingList{{0, 0}},
                                                         PaddingList{{1, 1}},
                                                         PaddingList{{1, 1}, {2, 2}},
                                                         PaddingList{{1,1}, {1,1}, {1,1}, {1,1}},
                                                         PaddingList{{0,0}, {1,0}, {0,1}, {1,2}},
                                                         PaddingList{{0,0}, {0,0}, {0,0}, {1,1}}
                                                         })),
               framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT,
                                                         PaddingMode::CONSTANT,
                                                         PaddingMode::CONSTANT,
                                                         PaddingMode::CONSTANT,
                                                         PaddingMode::CONSTANT,
                                                         PaddingMode::CONSTANT,
                                                         PaddingMode::REFLECT,
                                                         PaddingMode::REFLECT,
                                                         PaddingMode::REFLECT,
                                                         PaddingMode::REFLECT,
                                                         PaddingMode::REFLECT,
                                                         PaddingMode::SYMMETRIC })),
               framework::dataset::make("Expected", { false, false, true, true, true, true, false, false, true, false, false, true })),
               input_info, output_info, padding, mode, expected)
{
    ARM_COMPUTE_EXPECT(bool(NEPadLayer::validate(&input_info.clone()->set_is_resizable(true), &output_info.clone()->set_is_resizable(true), padding, PixelValue(), mode)) == expected, framework::LogLevel::ERRORS);
}

// clang-format on
// *INDENT-ON*

template <typename T>
using NEPaddingFixture = PaddingFixture<Tensor, Accessor, NEPadLayer, T>;

TEST_SUITE(Float)

TEST_SUITE(FP32)
FIXTURE_DATA_TEST_CASE(RunSmall, NEPaddingFixture<float>, framework::DatasetMode::ALL,
                       combine(combine(combine(datasets::Small3DShapes(), framework::dataset::make("DataType", { DataType::F32 })),
                                       PaddingSizesDataset),
                               framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT })))
{
    // Validate output
    validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture<float>, framework::DatasetMode::NIGHTLY,
                       combine(combine(combine(datasets::Large3DShapes(), framework::dataset::make("DataType", { DataType::F32 })),
                                       PaddingSizesDataset),
                               framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT, PaddingMode::SYMMETRIC })))
{
    // Validate output
    validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // FP32

#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
TEST_SUITE(FP16)
FIXTURE_DATA_TEST_CASE(RunSmall, NEPaddingFixture<half>, framework::DatasetMode::ALL,
                       combine(combine(combine(datasets::Small3DShapes(), framework::dataset::make("DataType", { DataType::F16 })),
                                       PaddingSizesDataset),
                               framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT })))
{
    // Validate output
    validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture<half>, framework::DatasetMode::NIGHTLY,
                       combine(combine(combine(datasets::Large3DShapes(), framework::dataset::make("DataType", { DataType::F16 })),
                                       PaddingSizesDataset),
                               framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT, PaddingMode::SYMMETRIC })))
{
    // Validate output
    validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // FP16
#endif           /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
TEST_SUITE_END() // Float

TEST_SUITE(Quantized)
TEST_SUITE(QASYMM8)
FIXTURE_DATA_TEST_CASE(RunSmall, NEPaddingFixture<uint8_t>, framework::DatasetMode::ALL,
                       combine(combine(combine(datasets::Small3DShapes(), framework::dataset::make("DataType", { DataType::QASYMM8 })),
                                       PaddingSizesDataset),
                               framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT })))
{
    // Validate output
    validate(Accessor(_target), _reference);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEPaddingFixture<uint8_t>, framework::DatasetMode::NIGHTLY,
                       combine(combine(combine(datasets::Large3DShapes(), framework::dataset::make("DataType", { DataType::QASYMM8 })),
                                       PaddingSizesDataset),
                               framework::dataset::make("PaddingMode", { PaddingMode::CONSTANT, PaddingMode::REFLECT, PaddingMode::SYMMETRIC })))
{
    // Validate output
    validate(Accessor(_target), _reference);
}
TEST_SUITE_END() // QASYMM8
TEST_SUITE_END() // Quantized

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