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/*
* Copyright (c) 2016, 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/CLScaleKernel.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/ICLKernel.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/CL/OpenCL.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Validate.h"
#include <set>
#include <string>
using namespace arm_compute;
BorderSize CLScaleKernel::border_size() const
{
return BorderSize(1);
}
void CLScaleKernel::configure(const ICLTensor *input, ICLTensor *output, InterpolationPolicy policy, bool border_undefined)
{
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S16);
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::S16);
ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
_input = input;
_output = output;
/* Compute the ratio between source width/height and destination width/height */
const auto wr = static_cast<float>(input->info()->dimension(0)) / static_cast<float>(output->info()->dimension(0));
const auto hr = static_cast<float>(input->info()->dimension(1)) / static_cast<float>(output->info()->dimension(1));
/* Area interpolation behaves as Nearest Neighbour in case of up-sampling */
if(policy == InterpolationPolicy::AREA && wr <= 1.f && hr <= 1.f)
{
policy = InterpolationPolicy::NEAREST_NEIGHBOR;
}
else
{
ARM_COMPUTE_ERROR_ON(policy == InterpolationPolicy::AREA);
}
// Create kernel
std::set<std::string> build_opts = { ("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())) };
std::string interpolation_name = string_from_interpolation_policy(policy);
std::transform(interpolation_name.begin(), interpolation_name.end(), interpolation_name.begin(), ::tolower);
std::string kernel_name = "scale_" + interpolation_name;
_kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts));
// Configure kernel window
constexpr unsigned int num_elems_processed_per_iteration = 4;
const int border_offset = (border_undefined) ? 0 : border_size().left;
Window win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration));
AccessWindowStatic input_access(input->info(), -border_offset, -border_offset,
input->info()->dimension(0) + border_offset, input->info()->dimension(1) + border_offset);
AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration);
update_window_and_padding(win, input_access, output_access);
output_access.set_valid_region(win, ValidRegion(Coordinates(), output->info()->tensor_shape()));
ICLKernel::configure(win);
// Set static kernel arguments
unsigned int idx = 2 * num_arguments_per_2D_tensor(); //Skip the input and output parameters
_kernel.setArg<float>(idx++, input->info()->dimension(0));
_kernel.setArg<float>(idx++, input->info()->dimension(1));
_kernel.setArg<float>(idx++, output->info()->dimension(0));
_kernel.setArg<float>(idx++, output->info()->dimension(1));
}
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