/*
 * Copyright (c) 2018-2021, 2023 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 "src/core/CL/kernels/CLBatchToSpaceLayerKernel.h"

#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "arm_compute/core/utils/StringUtils.h"

#include "src/core/CL/CLValidate.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
#include "support/StringSupport.h"

using namespace arm_compute::misc::shape_calculator;
namespace arm_compute
{
namespace
{
Status validate_arguments(const ITensorInfo *input, const ITensorInfo *block_info, const ITensorInfo *output)
{
    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, block_info, output);
    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(block_info, 1, DataType::S32);
    ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4);
    ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN);

    // Validate output if initialized
    if (output->total_size() != 0)
    {
        ARM_COMPUTE_RETURN_ERROR_ON(output->num_dimensions() > 4);
        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
    }

    return Status{};
}
Status validate_arguments_static(const ITensorInfo *input,
                                 const int          block_shape_x,
                                 const int          block_shape_y,
                                 const ITensorInfo *output,
                                 const CropInfo    &crop_info)
{
    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
    ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4);
    ARM_COMPUTE_RETURN_ERROR_ON(block_shape_x <= 0);
    ARM_COMPUTE_RETURN_ERROR_ON(block_shape_y <= 0);

    const DataLayout data_layout = input->data_layout();
    const int        idx_batch   = get_data_layout_dimension_index(data_layout, DataLayoutDimension::BATCHES);
    ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[idx_batch] % (block_shape_x * block_shape_y) != 0);

    // Validate output if initialized
    if (output->total_size() != 0)
    {
        const TensorShape expected_output_shape = compute_batch_to_space_shape(
            input->data_layout(), input->tensor_shape(), block_shape_x, block_shape_y, crop_info);
        const TensorInfo expected_output = output->clone()->set_tensor_shape(expected_output_shape);
        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(output, &expected_output);
        ARM_COMPUTE_RETURN_ERROR_ON(output->num_dimensions() > 4);
        ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
    }

    return Status{};
}
} // namespace

CLBatchToSpaceLayerKernel::CLBatchToSpaceLayerKernel() : _input(nullptr), _block_shape(nullptr), _output(nullptr)
{
    _type = CLKernelType::ELEMENTWISE;
}

void CLBatchToSpaceLayerKernel::configure(const ICLTensor *input, const ICLTensor *block_shape, ICLTensor *output)
{
    configure(CLKernelLibrary::get().get_compile_context(), input, block_shape, output);
}

void CLBatchToSpaceLayerKernel::configure(const CLCompileContext &compile_context,
                                          const ICLTensor        *input,
                                          const ICLTensor        *block_shape,
                                          ICLTensor              *output)
{
    ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);

    auto padding_info = get_padding_info({input, block_shape, output});

    ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), block_shape->info(), output->info()));

    _input       = input;
    _block_shape = block_shape;
    _output      = output;

    // Create kernel
    CLBuildOptions build_opts;
    build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(output->info()->data_type()));
    build_opts.add_option("-DBATCH_SIZE=" + support::cpp11::to_string(output->info()->dimension(3)));
    _kernel = create_kernel(compile_context,
                            "batch_to_space_" + lower_string(string_from_data_layout(input->info()->data_layout())),
                            build_opts.options());

    // Configure kernel window
    Window win = calculate_max_window(*output->info(), Steps());
    ICLKernel::configure_internal(win);

    ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
}

void CLBatchToSpaceLayerKernel::configure(const ICLTensor *input,
                                          const int32_t    block_shape_x,
                                          const int32_t    block_shape_y,
                                          ICLTensor       *output,
                                          const CropInfo  &crop_info)
{
    configure(CLKernelLibrary::get().get_compile_context(), input, block_shape_x, block_shape_y, output, crop_info);
}

void CLBatchToSpaceLayerKernel::configure(const CLCompileContext &compile_context,
                                          const ICLTensor        *input,
                                          const int32_t           block_shape_x,
                                          const int32_t           block_shape_y,
                                          ICLTensor              *output,
                                          const CropInfo         &crop_info)
{
    ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);

    const TensorShape output_shape = compute_batch_to_space_shape(
        input->info()->data_layout(), input->info()->tensor_shape(), block_shape_x, block_shape_y);
    auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape));

    ARM_COMPUTE_ERROR_THROW_ON(
        validate_arguments_static(input->info(), block_shape_x, block_shape_y, output->info(), crop_info));

    _input  = input;
    _output = output;

    // Create kernel
    CLBuildOptions build_opts;
    build_opts.add_option("-DDATA_TYPE=" +
                          get_cl_unsigned_type_from_element_size(data_size_from_type(input->info()->data_type())));
    build_opts.add_option("-DBATCH_SIZE=" + support::cpp11::to_string(output->info()->dimension(3)));
    build_opts.add_option("-DBLOCK_SHAPE_X=" + support::cpp11::to_string(block_shape_x));
    build_opts.add_option("-DBLOCK_SHAPE_Y=" + support::cpp11::to_string(block_shape_y));
    build_opts.add_option("-DCROP_LEFT=" + support::cpp11::to_string(crop_info.left));
    build_opts.add_option("-DCROP_TOP=" + support::cpp11::to_string(crop_info.top));
    _kernel = create_kernel(
        compile_context, "batch_to_space_static_" + lower_string(string_from_data_layout(input->info()->data_layout())),
        build_opts.options());

    // Configure kernel window
    Window win = calculate_max_window(*output->info(), Steps());
    ICLKernel::configure_internal(win);
}

Status
CLBatchToSpaceLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *block_shape, const ITensorInfo *output)
{
    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, block_shape, output);
    ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, block_shape, output));
    return Status{};
}

Status CLBatchToSpaceLayerKernel::validate(const ITensorInfo *input,
                                           const int32_t      block_shape_x,
                                           const int32_t      block_shape_y,
                                           const ITensorInfo *output,
                                           const CropInfo    &crop_info)
{
    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
    ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments_static(input, block_shape_x, block_shape_y, output, crop_info));
    return Status{};
}

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

    Window slice_out = window.first_slice_window_3D();
    Window slice_in  = window.first_slice_window_4D();

    Window vector_slice = window.first_slice_window_1D();
    vector_slice.set(Window::DimX, Window::Dimension(0, 0, 0));

    slice_in.set(Window::DimX, Window::Dimension(0, 0, 0));
    slice_in.set(Window::DimY, Window::Dimension(0, 0, 0));
    slice_in.set(Window::DimZ, Window::Dimension(0, 0, 0));
    slice_in.set(3, Window::Dimension(0, 0, 0));

    int batch_id = 0;
    do
    {
        unsigned int idx = 0;
        add_4D_tensor_argument(idx, _input, slice_in);
        add_argument(idx, batch_id);
        if (_block_shape != nullptr)
        {
            add_1D_tensor_argument(idx, _block_shape, vector_slice);
        }
        add_3D_tensor_argument(idx, _output, slice_out);
        enqueue(queue, *this, slice_out, lws_hint());

        ++batch_id;
    } while (window.slide_window_slice_3D(slice_out));
}
} // namespace arm_compute
