/*
 * 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/core/CL/kernels/CLROIPoolingLayerKernel.h"

#include "arm_compute/core/AccessWindowStatic.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/CL/CLKernelLibrary.h"
#include "arm_compute/core/CL/ICLArray.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/CL/OpenCL.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/Window.h"

#include <cmath>
#include <set>
#include <string>

using namespace arm_compute;

CLROIPoolingLayerKernel::CLROIPoolingLayerKernel()
    : _input(nullptr), _rois(nullptr), _output(nullptr), _pool_info(0, 0, 0.f)
{
}

void CLROIPoolingLayerKernel::configure(const ICLTensor *input, const ICLROIArray *rois, ICLTensor *output, const ROIPoolingLayerInfo &pool_info)
{
    ARM_COMPUTE_ERROR_ON_NULLPTR(input, rois, output);
    ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32);
    ARM_COMPUTE_ERROR_ON((pool_info.pooled_width() == 0) || (pool_info.pooled_height() == 0));
    ARM_COMPUTE_ERROR_ON(rois->num_values() == 0);

    // Output auto inizialitation if not yet initialized
    TensorShape output_shape(pool_info.pooled_width(), pool_info.pooled_height(), input->info()->dimension(2), rois->num_values());
    auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type(), input->info()->fixed_point_position());

    ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
    ARM_COMPUTE_ERROR_ON((output->info()->dimension(0) != pool_info.pooled_width()) || (output->info()->dimension(1) != pool_info.pooled_height()));
    ARM_COMPUTE_ERROR_ON(input->info()->dimension(2) != output->info()->dimension(2));
    ARM_COMPUTE_ERROR_ON(rois->num_values() != output->info()->dimension(3));

    // Set instance variables
    _input     = input;
    _rois      = rois;
    _output    = output;
    _pool_info = pool_info;

    // Set build options
    std::set<std::string> build_opts;
    build_opts.emplace(("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())));
    build_opts.emplace(("-DDATA_SIZE=" + get_data_size_from_data_type(input->info()->data_type())));
    build_opts.emplace(("-DMAX_DIM_X=" + support::cpp11::to_string(_input->info()->dimension(Window::DimX))));
    build_opts.emplace(("-DMAX_DIM_Y=" + support::cpp11::to_string(_input->info()->dimension(Window::DimY))));
    build_opts.emplace(("-DMAX_DIM_Z=" + support::cpp11::to_string(_input->info()->dimension(Window::DimZ))));
    build_opts.emplace(("-DPOOLED_DIM_X=" + support::cpp11::to_string(pool_info.pooled_width())));
    build_opts.emplace(("-DPOOLED_DIM_Y=" + support::cpp11::to_string(pool_info.pooled_height())));
    build_opts.emplace(("-DSPATIAL_SCALE=" + support::cpp11::to_string(pool_info.spatial_scale())));

    // Create kernel
    std::string kernel_name = "roi_pooling_layer";
    _kernel                 = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts));

    // Set static kernel arguments
    unsigned int idx = 2 * num_arguments_per_3D_tensor() + num_arguments_per_1D_array();
    add_argument<cl_uint>(idx, _input->info()->strides_in_bytes()[3]);
    add_argument<cl_uint>(idx, _output->info()->strides_in_bytes()[3]);

    // Configure kernel window
    const unsigned int num_elems_processed_per_iteration = 1;
    Window             window                            = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration));
    AccessWindowStatic input_access(input->info(),
                                    input->info()->valid_region().start(0),
                                    input->info()->valid_region().start(1),
                                    input->info()->valid_region().end(0),
                                    input->info()->valid_region().end(1));
    AccessWindowStatic output_access(output->info(), 0, 0, pool_info.pooled_width(), pool_info.pooled_height());

    update_window_and_padding(window, input_access, output_access);
    output_access.set_valid_region(window, ValidRegion(Coordinates(), output->info()->tensor_shape()));
    ICLKernel::configure(window);
}

void CLROIPoolingLayerKernel::run(const Window &window, cl::CommandQueue &queue)
{
    ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
    ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);

    Window slice(window);
    // Parallelize spatially and across the fourth dimension of the output tensor (also across ROIArray)
    slice.set(Window::DimZ, window[3]);

    // Set arguments
    unsigned int idx = 0;
    add_3D_tensor_argument(idx, _input, slice);
    add_1D_array_argument<ROI>(idx, _rois, Strides(sizeof(ROI)), 1U, slice);
    add_3D_tensor_argument(idx, _output, slice);
    enqueue(queue, *this, slice);
}