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/*
* Copyright (c) 2017-2018 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/CLValidate.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/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_F16_UNSUPPORTED(input);
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());
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.first_slice_window_3D();
// 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);
}
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