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/*
* Copyright (c) 2017-2020 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/GLES_COMPUTE/kernels/GCNormalizationLayerKernel.h"
#include "arm_compute/core/GLES_COMPUTE/GCHelpers.h"
#include "arm_compute/core/GLES_COMPUTE/GCKernelLibrary.h"
#include "arm_compute/core/GLES_COMPUTE/IGCTensor.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 "support/StringSupport.h"
#include <string>
using namespace arm_compute;
GCNormalizationLayerKernel::GCNormalizationLayerKernel()
: _input(nullptr), _squared_input(nullptr), _output(nullptr), _border_size(0)
{
}
BorderSize GCNormalizationLayerKernel::border_size() const
{
return _border_size;
}
void GCNormalizationLayerKernel::configure(const IGCTensor *input, const IGCTensor *squared_input, IGCTensor *output, NormalizationLayerInfo norm_info)
{
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32);
ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
ARM_COMPUTE_ERROR_ON_MSG(!(norm_info.norm_size() % 2), "Normalization size should be odd");
ARM_COMPUTE_ERROR_ON_MSG(norm_info.type() == NormType::IN_MAP_2D, "2D In-Map Normalization not implemented");
// Set build options
std::set<std::string> build_opts;
_input = input;
_squared_input = squared_input;
_output = output;
const bool is_in_map = norm_info.is_in_map();
const unsigned int border_width = is_in_map ? std::min(norm_info.norm_size() / 2, 3U) : 0;
_border_size = BorderSize(0, border_width);
// Set kernel static arguments
std::string func_name = ((norm_info.type() == NormType::IN_MAP_1D) ? "IN_MAP_1D" : "CROSS_MAP");
build_opts.emplace(("#define " + func_name));
build_opts.emplace(("#define COEFF " + float_to_string_with_full_precision(norm_info.scale_coeff())));
build_opts.emplace(("#define BETA " + float_to_string_with_full_precision(norm_info.beta())));
build_opts.emplace(("#define KAPPA " + float_to_string_with_full_precision(norm_info.kappa())));
build_opts.emplace(("#define RADIUS " + support::cpp11::to_string(norm_info.norm_size() / 2)));
build_opts.emplace(("#define LOCAL_SIZE_X " + support::cpp11::to_string(1)));
build_opts.emplace(("#define LOCAL_SIZE_Y " + support::cpp11::to_string(1)));
build_opts.emplace(("#define LOCAL_SIZE_Z " + support::cpp11::to_string(1)));
// Create kernel
_kernel = static_cast<GCKernel>(GCKernelLibrary::get().create_kernel("normalization_layer", build_opts));
// Configure kernel window
const unsigned int num_elems_processed_per_iteration = 1;
const unsigned int num_elems_read_per_iteration = num_elems_processed_per_iteration + 2 * (norm_info.norm_size() / 2);
Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration));
AccessWindowHorizontal input_access(input->info(), -_border_size.left, num_elems_read_per_iteration);
AccessWindowHorizontal squared_input_access(squared_input->info(), -_border_size.left, num_elems_read_per_iteration);
AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration);
update_window_and_padding(win, input_access, squared_input_access, output_access);
output_access.set_valid_region(win, input->info()->valid_region());
IGCKernel::configure(win);
}
void GCNormalizationLayerKernel::run(const Window &window)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
_kernel.use();
Window slice = window.first_slice_window_3D();
do
{
unsigned int idx = 0;
unsigned int binding = 1;
add_3D_tensor_argument(idx, _input, binding++, slice);
add_3D_tensor_argument(idx, _squared_input, binding++, slice);
add_3D_tensor_argument(idx, _output, binding++, slice);
_kernel.update_shader_params();
enqueue(*this, slice);
}
while(window.slide_window_slice_3D(slice));
}
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