From b57be0da77370e5e71fe82dfa281f528279e8127 Mon Sep 17 00:00:00 2001 From: Michele Di Giorgio Date: Fri, 31 Aug 2018 16:26:25 +0100 Subject: COMPMID-1330: Add support for NormalizePlanarYUV operator in CL Change-Id: Id0754b9e2bc3ef7ff2c4c21c3b89709588c41bd3 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/146637 Tested-by: Jenkins Reviewed-by: Georgios Pinitas Reviewed-by: Giorgio Arena --- .../CL/kernels/CLNormalizePlanarYUVLayerKernel.cpp | 173 +++++++++++++++++++++ 1 file changed, 173 insertions(+) create mode 100644 src/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.cpp (limited to 'src/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.cpp') diff --git a/src/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.cpp b/src/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.cpp new file mode 100644 index 0000000000..31451ef422 --- /dev/null +++ b/src/core/CL/kernels/CLNormalizePlanarYUVLayerKernel.cpp @@ -0,0 +1,173 @@ +/* + * Copyright (c) 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/CLNormalizePlanarYUVLayerKernel.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/ICLTensor.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 "support/ToolchainSupport.h" + +using namespace arm_compute; + +namespace +{ +Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *std) +{ + ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input); + ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output); + + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, mean, std); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(mean, std); + ARM_COMPUTE_RETURN_ERROR_ON_MSG(mean->num_dimensions() > 1, "mean and std must be vectors"); + + const unsigned int channel_idx = get_data_layout_dimension_index(input->data_layout(), DataLayoutDimension::CHANNEL); + ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(channel_idx) != mean->dimension(0)); + + // Checks performed when output is configured + if(output->total_size() != 0) + { + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output); + } + + return Status{}; +} + +std::pair validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, ITensorInfo *mean, ITensorInfo *std) +{ + // Output tensor auto initialization if not yet initialized + auto_init_if_empty(*output, *input->clone()); + + const unsigned int num_elems_processed_per_iteration = 16 / input->element_size(); + + Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration)); + + AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration); + AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); + + bool window_changed = update_window_and_padding(win, input_access, output_access); + output_access.set_valid_region(win, input->valid_region()); + + if(input->data_layout() == DataLayout::NHWC) + { + AccessWindowHorizontal mean_access(mean, 0, num_elems_processed_per_iteration); + AccessWindowHorizontal std_access(std, 0, num_elems_processed_per_iteration); + window_changed = window_changed || update_window_and_padding(win, mean_access, std_access); + } + + Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; + return std::make_pair(err, win); +} +} // namespace + +CLNormalizePlanarYUVLayerKernel::CLNormalizePlanarYUVLayerKernel() + : _input(nullptr), _output(nullptr), _mean(nullptr), _std(nullptr) +{ +} + +void CLNormalizePlanarYUVLayerKernel::configure(const ICLTensor *input, ICLTensor *output, const ICLTensor *mean, const ICLTensor *std) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input, output, mean, std); + + // Output tensor auto initialization if not yet initialized + auto_init_if_empty(*output->info(), *input->info()->clone()); + + // Perform validation step + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), mean->info(), std->info())); + + _input = input; + _output = output; + _mean = mean; + _std = std; + + const unsigned int num_elems_processed_per_iteration = 16 / input->info()->element_size(); + const unsigned int channel_idx = get_data_layout_dimension_index(input->info()->data_layout(), DataLayoutDimension::CHANNEL); + + // Set build options + CLBuildOptions build_opts; + build_opts.add_option(("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()))); + build_opts.add_option(("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration))); + build_opts.add_option(("-DNUM_CHANNELS=" + support::cpp11::to_string(input->info()->dimension(channel_idx)))); + + // Create kernel + _kernel = static_cast(CLKernelLibrary::get().create_kernel("normalize_planar_yuv_layer_" + lower_string(string_from_data_layout(input->info()->data_layout())), build_opts.options())); + + // Configure kernel window + auto win_config = validate_and_configure_window(input->info(), output->info(), mean->info(), std->info()); + ARM_COMPUTE_ERROR_THROW_ON(win_config.first); + ICLKernel::configure_internal(win_config.second); + + // Set config_id for enabling LWS tuning + _config_id = "normalize_planar_yuv_layer_"; + _config_id += lower_string(string_from_data_layout(input->info()->data_layout())); + _config_id += "_"; + _config_id += lower_string(string_from_data_type(input->info()->data_type())); + _config_id += "_"; + _config_id += support::cpp11::to_string(input->info()->dimension(0)); + _config_id += "_"; + _config_id += support::cpp11::to_string(input->info()->dimension(1)); + _config_id += "_"; + _config_id += support::cpp11::to_string(input->info()->dimension(2)); +} + +Status CLNormalizePlanarYUVLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *mean, const ITensorInfo *std) +{ + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, mean, std)); + ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), mean->clone().get(), std->clone().get()).first); + + return Status{}; +} + +void CLNormalizePlanarYUVLayerKernel::run(const Window &window, cl::CommandQueue &queue) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window); + + Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ); + Window slice = collapsed.first_slice_window_3D(); + + Window slice_in = collapsed.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, slice_in); + add_1D_tensor_argument(idx, _std, slice_in); + + do + { + idx = 0; + add_3D_tensor_argument(idx, _input, slice); + add_3D_tensor_argument(idx, _output, slice); + enqueue(queue, *this, slice, lws_hint()); + } + while(collapsed.slide_window_slice_3D(slice)); +} -- cgit v1.2.1