/*
 * 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
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 * SOFTWARE.
 */
#include "arm_compute/runtime/CL/functions/CLMeanStdDev.h"
#include "tests/CL/CLAccessor.h"
#include "tests/PaddingCalculator.h"
#include "tests/datasets/ShapeDatasets.h"
#include "tests/framework/Macros.h"
#include "tests/validation/Validation.h"
#include "tests/validation/fixtures/MeanStdDevFixture.h"

namespace arm_compute
{
namespace test
{
namespace validation
{
namespace
{
RelativeTolerance<float> tolerance_rel_high_error(0.05f);
RelativeTolerance<float> tolerance_rel_low_error(0.0005f);
} // namespace

TEST_SUITE(CL)
TEST_SUITE(MeanStdDev)

DATA_TEST_CASE(Configuration, framework::DatasetMode::ALL, combine(concat(datasets::Small2DShapes(), datasets::Large2DShapes()), framework::dataset::make("DataType", DataType::U8)), shape, data_type)
{
    // Create tensors
    CLTensor src = create_tensor<CLTensor>(shape, data_type);

    // Create output variables
    float mean    = 0.f;
    float std_dev = 0.f;

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

    // Create configure function
    CLMeanStdDev mean_std_dev_image;
    mean_std_dev_image.configure(&src, &mean, &std_dev);

    // Validate valid region
    const ValidRegion valid_region = shape_to_valid_region(shape);
    validate(src.info()->valid_region(), valid_region);

    // Validate padding
    const PaddingSize padding = PaddingCalculator(shape.x(), 8).required_padding();
    validate(src.info()->padding(), padding);
}

template <typename T>
using CLMeanStdDevFixture = MeanStdDevValidationFixture<CLTensor, CLAccessor, CLMeanStdDev, T>;

FIXTURE_DATA_TEST_CASE(RunSmall, CLMeanStdDevFixture<uint8_t>, framework::DatasetMode::PRECOMMIT, combine(datasets::Small2DShapes(), framework::dataset::make("DataType",
                                                                                                          DataType::U8)))
{
    // Validate mean output
    validate(_target.first, _reference.first);

    // Validate std_dev output
    validate(_target.second, _reference.second, tolerance_rel_high_error);
}
FIXTURE_DATA_TEST_CASE(RunLarge, CLMeanStdDevFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(datasets::Large2DShapes(), framework::dataset::make("DataType",
                                                                                                        DataType::U8)))
{
    // Validate mean output
    validate(_target.first, _reference.first, tolerance_rel_low_error);

    // Validate std_dev output
    validate(_target.second, _reference.second, tolerance_rel_high_error);
}

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