blob: bc9c7eb55a0aba216e2339fe848e8d7d7de55279 [file] [log] [blame]
/*
* 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/GLES_COMPUTE/kernels/GCNormalizePlanarYUVLayerKernel.h"
#include "arm_compute/core/AccessWindowStatic.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/Utils.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/Window.h"
#include "support/ToolchainSupport.h"
using namespace arm_compute;
GCNormalizePlanarYUVLayerKernel::GCNormalizePlanarYUVLayerKernel()
: _input(nullptr), _output(nullptr), _mean(nullptr), _sd(nullptr)
{
}
void GCNormalizePlanarYUVLayerKernel::configure(const IGCTensor *input, IGCTensor *output, const IGCTensor *mean, const IGCTensor *sd)
{
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16);
ARM_COMPUTE_ERROR_ON_NULLPTR(output);
ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output, mean, sd);
ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input, output);
ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(mean, sd);
ARM_COMPUTE_ERROR_ON(input->info()->dimension(2) != mean->info()->dimension(0));
_input = input;
_output = output;
_mean = mean;
_sd = sd;
const unsigned int num_elems_processed_per_iteration = 4;
// Set build options
std::set<std::string> build_opts;
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("normalize_planar_yuv_layer", build_opts));
// Configure kernel window
Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration));
AccessWindowHorizontal input_access(input->info(), 0, num_elems_processed_per_iteration);
AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration);
const int mean_padding = ceil_to_multiple(mean->info()->dimension(0), num_elems_processed_per_iteration) - mean->info()->dimension(0);
const int sd_padding = ceil_to_multiple(sd->info()->dimension(0), num_elems_processed_per_iteration) - sd->info()->dimension(0);
AccessWindowStatic mean_access(mean->info(), 0, 0, mean->info()->dimension(0) + mean_padding, mean->info()->dimension(1));
AccessWindowStatic sd_access(sd->info(), 0, 0, sd->info()->dimension(0) + sd_padding, sd->info()->dimension(1));
update_window_and_padding(win, input_access, output_access, mean_access, sd_access);
output_access.set_valid_region(win, input->info()->valid_region());
IGCKernel::configure(win);
}
void GCNormalizePlanarYUVLayerKernel::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();
Window slice_in;
//slice_in.use_tensor_dimensions(_mean->info()->tensor_shape());
slice_in = window.first_slice_window_1D();
slice_in.set(Window::DimX, Window::Dimension(0, 0, 0));
unsigned int idx = 2 * num_arguments_per_3D_tensor();
add_1D_tensor_argument(idx, _mean, 3, slice_in);
add_1D_tensor_argument(idx, _sd, 4, slice_in);
do
{
idx = 0;
add_3D_tensor_argument(idx, _input, 1, slice);
add_3D_tensor_argument(idx, _output, 2, slice);
_kernel.update_shader_params();
enqueue(*this, slice);
}
while(window.slide_window_slice_3D(slice));
}