/* * 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/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 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(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(); _output->set_needs_shifting(true); 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); slice_in = window.first_slice_window_3D(); slice.shift(Window::DimX, -(_output->info()->padding()).left); do { idx = 0; add_3D_tensor_argument(idx, _input, 1, slice_in); add_3D_tensor_argument(idx, _output, 2, slice); _kernel.update_shader_params(); enqueue(*this, slice); } while(window.slide_window_slice_3D(slice) && window.slide_window_slice_3D(slice_in)); }