/*
 * 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 "CL/CLAccessor.h"
#include "Utils.h"
#include "tests/AssetsLibrary.h"
#include "tests/Globals.h"
#include "tests/validation_old/Datasets.h"
#include "tests/validation_old/Reference.h"
#include "tests/validation_old/Validation.h"
#include "utils/TypePrinter.h"

#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/runtime/CL/functions/CLMinMaxLocation.h"
#include "arm_compute/runtime/Tensor.h"
#include "arm_compute/runtime/TensorAllocator.h"

#include "PaddingCalculator.h"
#include "tests/validation_old/boost_wrapper.h"

#include <random>
#include <string>

using namespace arm_compute;
using namespace arm_compute::test;
using namespace arm_compute::test::validation;

namespace
{
/** Compute CL MinMaxLocation function.
 *
 * @param[in]  shape     Shape of the input and output tensors.
 * @param[in]  dt_in     Data type of first input tensor.
 * @param[out] min       Minimum value of tensor
 * @param[out] max       Maximum value of tensor
 * @param[out] min_loc   Array with locations of minimum values
 * @param[out] max_loc   Array with locations of maximum values
 * @param[out] min_count Number of minimum values found
 * @param[out] max_count Number of maximum values found
 *
 * @return Computed output tensor.
 */
void compute_min_max_location(const TensorShape &shape, DataType dt_in, void *min, void *max,
                              CLCoordinates2DArray &min_loc, CLCoordinates2DArray &max_loc, uint32_t &min_count, uint32_t &max_count)
{
    // Create tensor
    CLTensor src = create_tensor<CLTensor>(shape, dt_in);

    // Create and configure min_max_location configure function
    CLMinMaxLocation min_max_loc;
    min_max_loc.configure(&src, min, max, &min_loc, &max_loc, &min_count, &max_count);

    // Allocate tensors
    src.allocator()->allocate();

    BOOST_TEST(!src.info()->is_resizable());

    // Fill tensors
    library->fill_tensor_uniform(CLAccessor(src), 0);

    // Compute function
    min_max_loc.run();
}

void validate_configuration(const CLTensor &src, TensorShape shape)
{
    BOOST_TEST(src.info()->is_resizable());

    // Create output storage
    int32_t              min;
    int32_t              max;
    CLCoordinates2DArray min_loc(shape.total_size());
    CLCoordinates2DArray max_loc(shape.total_size());
    uint32_t             min_count;
    uint32_t             max_count;

    // Create and configure function
    CLMinMaxLocation min_max_loc;
    min_max_loc.configure(&src, &min, &max, &min_loc, &max_loc, &min_count, &max_count);

    // 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(), src.info()->dimension(0)).required_padding();
    validate(src.info()->padding(), padding);
}
} // namespace

#ifndef DOXYGEN_SKIP_THIS
BOOST_AUTO_TEST_SUITE(CL)
BOOST_AUTO_TEST_SUITE(MinMaxLocation)
BOOST_AUTO_TEST_SUITE(U8)

BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
BOOST_DATA_TEST_CASE(Configuration, (Small2DShapes() + Large2DShapes()),
                     shape)
{
    // Create tensor
    CLTensor src = create_tensor<CLTensor>(shape, DataType::U8);
    src.info()->set_format(Format::U8);

    validate_configuration(src, shape);
}

BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
BOOST_DATA_TEST_CASE(RunSmall, Small2DShapes(),
                     shape)
{
    // Create output storage
    int32_t              min;
    int32_t              max;
    CLCoordinates2DArray min_loc(shape.total_size());
    CLCoordinates2DArray max_loc(shape.total_size());
    uint32_t             min_count;
    uint32_t             max_count;

    int32_t              ref_min;
    int32_t              ref_max;
    CLCoordinates2DArray ref_min_loc(shape.total_size());
    CLCoordinates2DArray ref_max_loc(shape.total_size());
    uint32_t             ref_min_count;
    uint32_t             ref_max_count;

    // Compute function
    compute_min_max_location(shape, DataType::U8, &min, &max, min_loc, max_loc, min_count, max_count);

    // Compute reference
    ref_min_loc.map();
    ref_max_loc.map();

    Reference::compute_reference_min_max_location(shape, DataType::U8, &ref_min, &ref_max, ref_min_loc, ref_max_loc, ref_min_count, ref_max_count);

    min_loc.map();
    max_loc.map();

    // Validate output
    validate_min_max_loc(min, ref_min, max, ref_max, min_loc, ref_min_loc, max_loc, ref_max_loc, min_count, ref_min_count, max_count, ref_max_count);

    ref_min_loc.unmap();
    ref_max_loc.unmap();
    min_loc.unmap();
    max_loc.unmap();
}

BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
BOOST_DATA_TEST_CASE(RunLarge, Large2DShapes(),
                     shape)
{
    // Create output storage
    int32_t              min;
    int32_t              max;
    CLCoordinates2DArray min_loc(shape.total_size());
    CLCoordinates2DArray max_loc(shape.total_size());
    uint32_t             min_count;
    uint32_t             max_count;

    int32_t              ref_min;
    int32_t              ref_max;
    CLCoordinates2DArray ref_min_loc(shape.total_size());
    CLCoordinates2DArray ref_max_loc(shape.total_size());
    uint32_t             ref_min_count;
    uint32_t             ref_max_count;

    // Compute function
    compute_min_max_location(shape, DataType::U8, &min, &max, min_loc, max_loc, min_count, max_count);

    // Compute reference
    ref_min_loc.map();
    ref_max_loc.map();

    Reference::compute_reference_min_max_location(shape, DataType::U8, &ref_min, &ref_max, ref_min_loc, ref_max_loc, ref_min_count, ref_max_count);

    min_loc.map();
    max_loc.map();

    // Validate output
    validate_min_max_loc(min, ref_min, max, ref_max, min_loc, ref_min_loc, max_loc, ref_max_loc, min_count, ref_min_count, max_count, ref_max_count);

    ref_min_loc.unmap();
    ref_max_loc.unmap();
    min_loc.unmap();
    max_loc.unmap();
}
BOOST_AUTO_TEST_SUITE_END()

BOOST_AUTO_TEST_SUITE(S16)
BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
BOOST_DATA_TEST_CASE(Configuration, (Small2DShapes() + Large2DShapes()),
                     shape)
{
    // Create tensor
    CLTensor src = create_tensor<CLTensor>(shape, DataType::S16);
    src.info()->set_format(Format::S16);

    validate_configuration(src, shape);
}

BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
BOOST_DATA_TEST_CASE(RunSmall, Small2DShapes(),
                     shape)
{
    // Create output storage
    int32_t              min;
    int32_t              max;
    CLCoordinates2DArray min_loc(shape.total_size());
    CLCoordinates2DArray max_loc(shape.total_size());
    uint32_t             min_count;
    uint32_t             max_count;

    int32_t              ref_min;
    int32_t              ref_max;
    CLCoordinates2DArray ref_min_loc(shape.total_size());
    CLCoordinates2DArray ref_max_loc(shape.total_size());
    uint32_t             ref_min_count;
    uint32_t             ref_max_count;

    // Compute function
    compute_min_max_location(shape, DataType::S16, &min, &max, min_loc, max_loc, min_count, max_count);

    // Compute reference
    ref_min_loc.map();
    ref_max_loc.map();

    Reference::compute_reference_min_max_location(shape, DataType::S16, &ref_min, &ref_max, ref_min_loc, ref_max_loc, ref_min_count, ref_max_count);

    min_loc.map();
    max_loc.map();

    // Validate output
    validate_min_max_loc(min, ref_min, max, ref_max, min_loc, ref_min_loc, max_loc, ref_max_loc, min_count, ref_min_count, max_count, ref_max_count);

    ref_min_loc.unmap();
    ref_max_loc.unmap();
    min_loc.unmap();
    max_loc.unmap();
}

BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
BOOST_DATA_TEST_CASE(RunLarge, Large2DShapes(),
                     shape)
{
    // Create output storage
    int32_t              min;
    int32_t              max;
    CLCoordinates2DArray min_loc(shape.total_size());
    CLCoordinates2DArray max_loc(shape.total_size());
    uint32_t             min_count;
    uint32_t             max_count;

    int32_t              ref_min;
    int32_t              ref_max;
    CLCoordinates2DArray ref_min_loc(shape.total_size());
    CLCoordinates2DArray ref_max_loc(shape.total_size());
    uint32_t             ref_min_count;
    uint32_t             ref_max_count;

    // Compute function
    compute_min_max_location(shape, DataType::S16, &min, &max, min_loc, max_loc, min_count, max_count);

    // Compute reference
    ref_min_loc.map();
    ref_max_loc.map();

    Reference::compute_reference_min_max_location(shape, DataType::S16, &ref_min, &ref_max, ref_min_loc, ref_max_loc, ref_min_count, ref_max_count);

    min_loc.map();
    max_loc.map();

    // Validate output
    validate_min_max_loc(min, ref_min, max, ref_max, min_loc, ref_min_loc, max_loc, ref_max_loc, min_count, ref_min_count, max_count, ref_max_count);

    ref_min_loc.unmap();
    ref_max_loc.unmap();
    min_loc.unmap();
    max_loc.unmap();
}
BOOST_AUTO_TEST_SUITE_END()

BOOST_AUTO_TEST_SUITE(Float)
BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit") * boost::unit_test::label("nightly"))
BOOST_DATA_TEST_CASE(Configuration, (Small2DShapes() + Large2DShapes()),
                     shape)
{
    // Create tensor
    CLTensor src = create_tensor<CLTensor>(shape, DataType::F32);

    validate_configuration(src, shape);
}

BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
BOOST_DATA_TEST_CASE(RunSmall, Small2DShapes(),
                     shape)
{
    // Create output storage
    float                min;
    float                max;
    CLCoordinates2DArray min_loc(shape.total_size());
    CLCoordinates2DArray max_loc(shape.total_size());
    uint32_t             min_count;
    uint32_t             max_count;

    float                ref_min;
    float                ref_max;
    CLCoordinates2DArray ref_min_loc(shape.total_size());
    CLCoordinates2DArray ref_max_loc(shape.total_size());
    uint32_t             ref_min_count;
    uint32_t             ref_max_count;

    // Compute function
    compute_min_max_location(shape, DataType::F32, &min, &max, min_loc, max_loc, min_count, max_count);

    // Compute reference
    ref_min_loc.map();
    ref_max_loc.map();

    Reference::compute_reference_min_max_location(shape, DataType::F32, &ref_min, &ref_max, ref_min_loc, ref_max_loc, ref_min_count, ref_max_count);

    min_loc.map();
    max_loc.map();

    // Validate output
    validate_min_max_loc(min, ref_min, max, ref_max, min_loc, ref_min_loc, max_loc, ref_max_loc, min_count, ref_min_count, max_count, ref_max_count);

    ref_min_loc.unmap();
    ref_max_loc.unmap();
    min_loc.unmap();
    max_loc.unmap();
}

BOOST_TEST_DECORATOR(*boost::unit_test::label("nightly"))
BOOST_DATA_TEST_CASE(RunLarge, Large2DShapes(),
                     shape)
{
    // Create output storage
    float                min;
    float                max;
    CLCoordinates2DArray min_loc(shape.total_size());
    CLCoordinates2DArray max_loc(shape.total_size());
    uint32_t             min_count;
    uint32_t             max_count;

    float                ref_min;
    float                ref_max;
    CLCoordinates2DArray ref_min_loc(shape.total_size());
    CLCoordinates2DArray ref_max_loc(shape.total_size());
    uint32_t             ref_min_count;
    uint32_t             ref_max_count;

    // Compute function
    compute_min_max_location(shape, DataType::F32, &min, &max, min_loc, max_loc, min_count, max_count);

    // Compute reference
    ref_min_loc.map();
    ref_max_loc.map();

    Reference::compute_reference_min_max_location(shape, DataType::F32, &ref_min, &ref_max, ref_min_loc, ref_max_loc, ref_min_count, ref_max_count);

    min_loc.map();
    max_loc.map();

    // Validate output
    validate_min_max_loc(min, ref_min, max, ref_max, min_loc, ref_min_loc, max_loc, ref_max_loc, min_count, ref_min_count, max_count, ref_max_count);

    ref_min_loc.unmap();
    ref_max_loc.unmap();
    min_loc.unmap();
    max_loc.unmap();
}
BOOST_AUTO_TEST_SUITE_END()

BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_SUITE_END()
#endif /* DOXYGEN_SKIP_THIS */