| /* |
| * Copyright (c) 2019 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/CLPadLayerKernel.h" |
| |
| #include "arm_compute/core/CL/CLHelpers.h" |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding, PixelValue constant_value, PaddingMode mode) |
| { |
| ARM_COMPUTE_UNUSED(input, output, constant_value); |
| ARM_COMPUTE_RETURN_ERROR_ON(padding.empty()); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(mode != PaddingMode::CONSTANT, "Only CONSTANT mode supported."); |
| |
| return Status{}; |
| } |
| |
| std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *output, const PaddingList &padding, PixelValue constant_value, PaddingMode mode) |
| { |
| ARM_COMPUTE_UNUSED(constant_value, mode); |
| const unsigned int num_elems_processed_per_iteration = std::min(16U, 32U / static_cast<unsigned int>(element_size_from_data_type(input->data_type()))); |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration)); |
| |
| const int input_start_x = -(padding.at(0).first % num_elems_processed_per_iteration); |
| const int input_start_y = padding.size() > 1 ? -padding.at(1).first : 0; |
| |
| AccessWindowRectangle input_access(input, input_start_x, input_start_y, num_elems_processed_per_iteration, 1); |
| AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); |
| |
| const bool window_changed = update_window_and_padding(win, input_access, output_access); |
| output_access.set_valid_region(win, ValidRegion(Coordinates(), output->tensor_shape())); |
| |
| Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; |
| return std::make_pair(err, win); |
| } |
| } // namespace |
| |
| CLPadLayerKernel::CLPadLayerKernel() |
| : _input(nullptr), _output(nullptr), _input_start_x(0), _input_start_y(0) |
| { |
| } |
| |
| void CLPadLayerKernel::configure(const ICLTensor *input, ICLTensor *output, const PaddingList &padding, PixelValue constant_value, PaddingMode mode) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| |
| // Output tensor auto initialisation if not yet initialized |
| auto_init_if_empty(*output->info(), *input->info()->clone()); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), padding, constant_value, mode)); |
| |
| _input = input; |
| _output = output; |
| |
| // Set build options |
| const unsigned int num_elems_processed_per_iteration = std::min(16U, 32U / static_cast<unsigned int>(element_size_from_data_type(input->info()->data_type()))); |
| _input_start_x = -(padding.at(0).first % num_elems_processed_per_iteration); |
| _input_start_y = padding.size() > 1 ? -padding.at(1).first : 0; |
| |
| 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("-DCONST_VAL=" + string_from_pixel_value(constant_value, input->info()->data_type())); |
| build_opts.add_option("-DPAD_LEFT=" + support::cpp11::to_string(padding.at(0).first)); |
| build_opts.add_option("-DSRC_WIDTH=" + support::cpp11::to_string(input->info()->dimension(0))); |
| build_opts.add_option("-DSELECT_DT=" + get_cl_select_type_from_data_type(input->info()->data_type())); |
| build_opts.add_option_if(padding.at(0).first > num_elems_processed_per_iteration, "-DTHREADS_TO_SKIP_X=" + support::cpp11::to_string(padding.at(0).first / num_elems_processed_per_iteration)); |
| |
| if(padding.size() > 1) |
| { |
| build_opts.add_option("-DPAD_TOP=" + support::cpp11::to_string(padding.at(1).first)); |
| build_opts.add_option("-DSRC_HEIGHT=" + support::cpp11::to_string(input->info()->dimension(1))); |
| |
| if(padding.size() > 2) |
| { |
| build_opts.add_option("-DPAD_NEAR=" + support::cpp11::to_string(padding.at(2).first)); |
| build_opts.add_option("-DSRC_DEPTH=" + support::cpp11::to_string(input->info()->dimension(2))); |
| |
| if(padding.size() > 3) |
| { |
| build_opts.add_option("-DPAD_BTOP=" + support::cpp11::to_string(padding.at(3).first)); |
| build_opts.add_option("-DSRC_BATCH=" + support::cpp11::to_string(input->info()->dimension(3))); |
| } |
| } |
| } |
| |
| // Create kernel |
| _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("pad_layer", build_opts.options())); |
| |
| // Configure kernel window |
| auto win_config = validate_and_configure_window(input->info(), output->info(), padding, constant_value, mode); |
| ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| ICLKernel::configure_internal(win_config.second); |
| } |
| |
| Status CLPadLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding, PixelValue constant_value, PaddingMode mode) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, padding, constant_value, mode)); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), output->clone().get(), padding, constant_value, mode).first); |
| |
| return Status{}; |
| } |
| |
| void CLPadLayerKernel::run(const Window &window, cl::CommandQueue &queue) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); |
| |
| Window win_in = window; |
| win_in.adjust(Window::DimX, _input_start_x, true); |
| win_in.adjust(Window::DimY, _input_start_y, true); |
| |
| Window slice_out = window.first_slice_window_3D(); |
| Window slice_in = win_in.first_slice_window_3D(); |
| unsigned int batch = 0; |
| do |
| { |
| unsigned int idx = 0; |
| add_3D_tensor_argument(idx, _input, slice_in); |
| add_3D_tensor_argument(idx, _output, slice_out); |
| add_argument<unsigned int>(idx, batch++); |
| |
| enqueue(queue, *this, slice_out, lws_hint()); |
| } |
| while(window.slide_window_slice_3D(slice_out) && win_in.slide_window_slice_3D(slice_in)); |
| } |
| } // namespace arm_compute |