/* * Copyright (c) 2016-2020 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/CL/kernels/CLChannelExtractKernel.h" #include "arm_compute/core/CL/CLKernelLibrary.h" #include "arm_compute/core/CL/ICLMultiImage.h" #include "arm_compute/core/CL/ICLTensor.h" #include "arm_compute/core/CL/OpenCL.h" #include "arm_compute/core/Coordinates.h" #include "arm_compute/core/Error.h" #include "arm_compute/core/Helpers.h" #include "arm_compute/core/MultiImageInfo.h" #include "arm_compute/core/TensorInfo.h" #include "arm_compute/core/Types.h" #include "arm_compute/core/Utils.h" #include "arm_compute/core/Validate.h" #include "arm_compute/core/Window.h" #include #include using namespace arm_compute; CLChannelExtractKernel::CLChannelExtractKernel() : _input(nullptr), _output(nullptr), _num_elems_processed_per_iteration(8), _subsampling(1) { } void CLChannelExtractKernel::configure(const ICLTensor *input, Channel channel, ICLTensor *output) { configure(CLKernelLibrary::get().get_compile_context(), input, channel, output); } void CLChannelExtractKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, Channel channel, ICLTensor *output) { ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); ARM_COMPUTE_ERROR_ON(input == output); set_format_if_unknown(*output->info(), Format::U8); // Check if input tensor has a valid format ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(input, Format::RGB888, Format::RGBA8888, Format::YUYV422, Format::UYVY422); ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(output, Format::U8); ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(output); // Check if channel is valid for given format const Format format = input->info()->format(); ARM_COMPUTE_ERROR_ON_CHANNEL_NOT_IN_KNOWN_FORMAT(format, channel); // Half the processed elements for U,V channels due to sub-sampling of 2 _subsampling = 1; if(format == Format::YUYV422 || format == Format::UYVY422) { // Check if the width of the tensor shape is even for formats with subsampled channels (UYVY422 and YUYV422) ARM_COMPUTE_ERROR_ON_TENSORS_NOT_EVEN(format, input); if(channel != Channel::Y) { _subsampling = 2; } } // Calculate output tensor shape using subsampling TensorShape output_shape = calculate_subsampled_shape(input->info()->tensor_shape(), format, channel); set_shape_if_empty(*output->info(), output_shape); ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(output->info()->tensor_shape(), output_shape); _input = input; _output = output; // Create kernel std::string kernel_name = "channel_extract_" + string_from_format(format); std::set build_opts = { ("-DCHANNEL_" + string_from_channel(channel)) }; _kernel = create_kernel(compile_context, kernel_name, build_opts); // Configure 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); AccessWindowRectangle output_access(output->info(), 0, 0, _num_elems_processed_per_iteration, 1, 1.f / _subsampling, 1.f / _subsampling); update_window_and_padding(win, input_access, output_access); ValidRegion input_valid_region = input->info()->valid_region(); output_access.set_valid_region(win, ValidRegion(input_valid_region.anchor, output->info()->tensor_shape())); ICLKernel::configure_internal(win); } void CLChannelExtractKernel::configure(const ICLMultiImage *input, Channel channel, ICLImage *output) { configure(CLKernelLibrary::get().get_compile_context(), input, channel, output); } void CLChannelExtractKernel::configure(const CLCompileContext &compile_context, const ICLMultiImage *input, Channel channel, ICLImage *output) { ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(output); set_format_if_unknown(*output->info(), Format::U8); // Check if channel is valid for given format const Format format = input->info()->format(); ARM_COMPUTE_ERROR_ON_CHANNEL_NOT_IN_KNOWN_FORMAT(format, channel); // Get input plane from the given channel const ICLImage *input_plane = input->cl_plane(plane_idx_from_channel(format, channel)); ARM_COMPUTE_ERROR_ON_NULLPTR(input_plane); if(Channel::Y == channel && format != Format::YUV444) { // Check if the width of the tensor shape is even for formats with subsampled channels (UYVY422 and YUYV422) ARM_COMPUTE_ERROR_ON_TENSORS_NOT_EVEN(format, input_plane); } // Calculate 2x2 subsampled tensor shape TensorShape output_shape = calculate_subsampled_shape(input->cl_plane(0)->info()->tensor_shape(), format, channel); set_shape_if_empty(*output->info(), output_shape); ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(output_shape, output->info()->tensor_shape()); // Check if input tensor has a valid format ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(input, Format::NV12, Format::NV21, Format::IYUV, Format::YUV444); ARM_COMPUTE_ERROR_ON_FORMAT_NOT_IN(output, Format::U8); _output = output; _input = input_plane; _subsampling = 1; // Create kernel std::string kernel_name; std::set build_opts; if(Channel::Y == channel || Format::IYUV == format || Format::YUV444 == format) { kernel_name = "copy_plane"; } else { kernel_name = "channel_extract_" + string_from_format(format); build_opts.insert(("-DCHANNEL_" + string_from_channel(channel))); } _kernel = create_kernel(compile_context, kernel_name, build_opts); // Configure window Window win = calculate_max_window(*input_plane->info(), Steps(_num_elems_processed_per_iteration)); AccessWindowHorizontal input_access(input_plane->info(), 0, _num_elems_processed_per_iteration); AccessWindowHorizontal output_access(output->info(), 0, _num_elems_processed_per_iteration); update_window_and_padding(win, input_access, output_access); output_access.set_valid_region(win, input_plane->info()->valid_region()); ICLKernel::configure_internal(win); } void CLChannelExtractKernel::run(const Window &window, cl::CommandQueue &queue) { ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); Window slice = window.first_slice_window_2D(); do { Window win_sub(slice); win_sub.set(Window::DimX, Window::Dimension(win_sub.x().start() / _subsampling, win_sub.x().end() / _subsampling, win_sub.x().step() / _subsampling)); win_sub.set(Window::DimY, Window::Dimension(win_sub.y().start() / _subsampling, win_sub.y().end() / _subsampling, 1)); unsigned int idx = 0; add_2D_tensor_argument(idx, _input, slice); add_2D_tensor_argument(idx, _output, win_sub); enqueue(queue, *this, slice, lws_hint()); } while(window.slide_window_slice_2D(slice)); }