tests/validation/NEON/WarpPerspective.cpp

/*
 * Copyright (c) 2017 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.
 *
 * 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/NEWarpPerspective.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/WarpPerspectiveFixture.h"

namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
constexpr AbsoluteTolerance<uint8_t> tolerance_value(1);
constexpr float                      tolerance_number = 0.2f;
} // namespace

TEST_SUITE(NEON)
TEST_SUITE(WarpPerspective)

DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()), framework::dataset::make("DataType", DataType::U8)),
                                                                           framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
                                                                   datasets::BorderModes()),
               shape, data_type, policy, border_mode)
{
    uint8_t constant_border_value = 0;

    // Generate a random constant value if border_mode is constant
    if(border_mode == BorderMode::CONSTANT)
    {
        std::mt19937                           gen(library->seed());
        std::uniform_int_distribution<uint8_t> distribution_u8(0, 255);
        constant_border_value = distribution_u8(gen);
    }

    // Create the matrix
    std::array<float, 9> matrix = { { 0 } };
    fill_warp_matrix<9>(matrix);

    // 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
    NEWarpPerspective warp_perspective;
    warp_perspective.configure(&src, &dst, matrix.data(), policy, border_mode, constant_border_value);

    // Validate valid region
    const ValidRegion valid_region = shape_to_valid_region(shape);

    validate(src.info()->valid_region(), valid_region);
    validate(dst.info()->valid_region(), valid_region);

    // Validate padding
    PaddingCalculator calculator(shape.x(), 1);
    calculator.set_border_mode(border_mode);
    calculator.set_border_size(1);

    const PaddingSize read_padding(1);
    const PaddingSize write_padding = calculator.required_padding();

    validate(src.info()->padding(), read_padding);
    validate(dst.info()->padding(), write_padding);
}

template <typename T>
using NEWarpPerspectiveFixture = WarpPerspectiveValidationFixture<Tensor, Accessor, NEWarpPerspective, T>;

FIXTURE_DATA_TEST_CASE(RunSmall, NEWarpPerspectiveFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType",
                                                                                                                       DataType::U8)),
                                                                                                                       framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
                                                                                                               datasets::BorderModes()))
{
    // Create the valid mask Tensor
    RawTensor valid_mask(_reference.shape(), _reference.data_type());

    validate(Accessor(_target), _reference, valid_mask, tolerance_value, tolerance_number);
}
FIXTURE_DATA_TEST_CASE(RunLarge, NEWarpPerspectiveFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::LargeShapes(), framework::dataset::make("DataType",
                                                                                                                     DataType::U8)),
                                                                                                                     framework::dataset::make("InterpolationPolicy", { InterpolationPolicy::NEAREST_NEIGHBOR, InterpolationPolicy::BILINEAR })),
                                                                                                             datasets::BorderModes()))
{
    // Create the valid mask Tensor
    RawTensor valid_mask{ _reference.shape(), _reference.data_type() };

    validate(Accessor(_target), _reference, valid_mask, tolerance_value, tolerance_number);
}

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