tests/validation/NEON/Gaussian5x5.cpp

/*
 * Copyright (c) 2017-2019 ARM Limited.
 *
 * 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/NEON/functions/NEGaussian5x5.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/BorderModeDataset.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/Gaussian5x5Fixture.h"

namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
constexpr unsigned int filter_size = 5;              /** Size of the kernel/filter in number of elements. */
constexpr BorderSize   border_size(filter_size / 2); /** Border size of the kernel/filter around its central element. */
} // namespace

TEST_SUITE(NEON)
TEST_SUITE(Gaussian5x5)

DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", DataType::U8)),
                                                                   datasets::BorderModes()),
               shape, data_type, border_mode)
{
    // Create tensors
    Tensor src = create_tensor<Tensor>(shape, data_type);
    Tensor dst = create_tensor<Tensor>(shape, data_type);

    ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
    ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);

    // Create and configure function
    NEGaussian5x5 gaussian5x5;
    gaussian5x5.configure(&src, &dst, border_mode);

    // Validate valid region
    const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), border_size);
    validate(dst.info()->valid_region(), dst_valid_region);

    // Validate padding
    PaddingCalculator calculator(shape.x(), 16);
    calculator.set_border_size(2);
    calculator.set_border_mode(border_mode);

    const PaddingSize dst_padding = calculator.required_padding();

    calculator.set_processed_elements(8);
    calculator.set_access_offset(-2);

    const PaddingSize src_padding = calculator.required_padding();

    validate(src.info()->padding(), src_padding);
    validate(dst.info()->padding(), dst_padding);
}

template <typename T>
using NEGaussian5x5Fixture = Gaussian5x5ValidationFixture<Tensor, Accessor, NEGaussian5x5, T>;

FIXTURE_DATA_TEST_CASE(RunSmall, NEGaussian5x5Fixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType",
                                                                                                                   DataType::U8)),
                                                                                                           datasets::BorderModes()))
{
    // Validate output
    validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), border_size));
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEGaussian5x5Fixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType",
                                                                                                                 DataType::U8)),
                                                                                                         datasets::BorderModes()))
{
    // Validate output
    validate(Accessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), border_size));
}

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