tests/validation/NEON/LaplacianPyramid.cpp

/*
 * Copyright (c) 2018 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
 * deal in the Software without restriction, including without limitation the
 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
 * sell copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in all
 * copies or substantial portions of the Software.
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 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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 * SOFTWARE.
*/
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/NEON/functions/NELaplacianPyramid.h"
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"
#include "tests/NEON/Accessor.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/LaplacianPyramidFixture.h"

namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
const auto small_laplacian_pyramid_levels = framework::dataset::make("NumLevels", 2, 3);
const auto large_laplacian_pyramid_levels = framework::dataset::make("NumLevels", 2, 5);

const auto formats = combine(framework::dataset::make("FormatIn", Format::U8), framework::dataset::make("FormatOut", Format::S16));

template <typename T>
inline void validate_laplacian_pyramid(const Pyramid &target, const std::vector<SimpleTensor<T>> &reference, BorderMode border_mode)
{
    Tensor     *level_image  = target.get_pyramid_level(0);
    ValidRegion valid_region = shape_to_valid_region(reference[0].shape(), border_mode == BorderMode::UNDEFINED, BorderSize(2));

    // Validate lowest level
    validate(Accessor(*level_image), reference[0], valid_region);

    // Validate remaining levels
    for(size_t lev = 1; lev < target.info()->num_levels(); lev++)
    {
        level_image              = target.get_pyramid_level(lev);
        Tensor *prev_level_image = target.get_pyramid_level(lev - 1);

        valid_region = shape_to_valid_region_laplacian_pyramid(prev_level_image->info()->tensor_shape(),
                                                               prev_level_image->info()->valid_region(),
                                                               border_mode == BorderMode::UNDEFINED);

        // Validate level
        validate(Accessor(*level_image), reference[lev], valid_region);
    }
}
} // namespace

TEST_SUITE(NEON)
TEST_SUITE(LaplacianPyramid)

// *INDENT-OFF*
// clang-format off
DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(
                                                           concat(datasets::Medium2DShapes(), datasets::Large2DShapes()),
                                                           datasets::BorderModes()),
                                                           large_laplacian_pyramid_levels),
                                                           shape, border_mode, num_levels)
{
    // Create pyramid info
    PyramidInfo pyramid_info(num_levels, SCALE_PYRAMID_HALF, shape, Format::S16);
    Pyramid     dst_pyramid{};
    dst_pyramid.init(pyramid_info);

    // Create Tensors
    Tensor src = create_tensor<Tensor>(shape, Format::U8);

    // The first two dimensions of the output tensor must match the first two
    // dimensions of the tensor in the last level of the pyramid
    TensorShape dst_shape(shape);
    dst_shape.set(0, dst_pyramid.get_pyramid_level(num_levels - 1)->info()->dimension(0));
    dst_shape.set(1, dst_pyramid.get_pyramid_level(num_levels - 1)->info()->dimension(1));
    Tensor dst = create_tensor<Tensor>(dst_shape, Format::S16);

    // Create and configure function
    NELaplacianPyramid laplacian_pyramid;
    laplacian_pyramid.configure(&src, &dst_pyramid, &dst, border_mode, 0);

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

    for(size_t level = 0; level < pyramid_info.num_levels(); ++level)
    {
        ARM_COMPUTE_EXPECT(dst_pyramid.get_pyramid_level(level)->info()->is_resizable(), framework::LogLevel::ERRORS);
    }
}

using NELaplacianPyramidFixture = LaplacianPyramidValidationFixture<Tensor, Accessor, NELaplacianPyramid, uint8_t, int16_t, Pyramid>;

FIXTURE_DATA_TEST_CASE(RunSmall, NELaplacianPyramidFixture, framework::DatasetMode::PRECOMMIT,
                       combine(combine(combine(
                       datasets::Medium2DShapes(),
                       datasets::BorderModes()),
                       small_laplacian_pyramid_levels),
                       formats))
{
    validate_laplacian_pyramid(_target, _reference, _border_mode);
}

FIXTURE_DATA_TEST_CASE(RunLarge, NELaplacianPyramidFixture, framework::DatasetMode::NIGHTLY,
                       combine(combine(combine(
                       datasets::Large2DShapes(),
                       datasets::BorderModes()),
                       large_laplacian_pyramid_levels),
                       formats))
{
    validate_laplacian_pyramid(_target, _reference, _border_mode);
}
// clang-format on
// *INDENT-ON*

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