/* * 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/CLMemsetKernel.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/ICLTensor.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" namespace arm_compute { CLMemsetKernel::CLMemsetKernel() : ICLKernel(), _tensor(nullptr) { } void CLMemsetKernel::configure(ICLTensor *tensor, const PixelValue &constant_value) { ARM_COMPUTE_ERROR_ON_NULLPTR(tensor); _tensor = tensor; const DataType data_type = tensor->info()->data_type(); const int vec_size_x = 16 / tensor->info()->element_size(); const int output_width_x = tensor->info()->tensor_shape().x(); const bool multi_access_x = (output_width_x / vec_size_x > 0); // Create and update the window (if needed) Window win = calculate_max_window(*tensor->info()); if(multi_access_x) { win.set(Window::DimX, Window::Dimension(win.x().start(), ceil_to_multiple(win.x().end(), vec_size_x), vec_size_x)); } ICLKernel::configure_internal(win); // Create kernel CLBuildOptions build_opts; build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(data_type)); build_opts.add_option("-DCONSTANT_VALUE=" + string_from_pixel_value(constant_value, data_type)); build_opts.add_option_if(multi_access_x, "-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x)); build_opts.add_option_if(multi_access_x, "-DLAST_ACCESSED_X=" + support::cpp11::to_string(std::max(output_width_x - vec_size_x, 0))); _kernel = static_cast(CLKernelLibrary::get().create_kernel("memset", build_opts.options())); } Status CLMemsetKernel::validate(const ITensorInfo *tensor, const PixelValue &constant_value) { ARM_COMPUTE_UNUSED(tensor); ARM_COMPUTE_UNUSED(constant_value); return Status{}; } void CLMemsetKernel::run(const Window &window, cl::CommandQueue &queue) { ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); // Collapse all the batches on the third Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimY); Window slice = collapsed.first_slice_window_2D(); do { unsigned int idx = 0; add_2D_tensor_argument(idx, _tensor, slice); enqueue(queue, *this, slice); } while(collapsed.slide_window_slice_2D(slice)); } } // namespace arm_compute