/* * Copyright (c) 2018-2019 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/NEON/kernels/NEMemsetKernel.h" #include "arm_compute/core/AccessWindowStatic.h" #include "arm_compute/core/Helpers.h" #include "arm_compute/core/ITensor.h" #include "arm_compute/core/Utils.h" #include "arm_compute/core/Validate.h" #include "arm_compute/core/Window.h" namespace arm_compute { NEMemsetKernel::NEMemsetKernel() : _tensor(nullptr), _constant_value() { } void NEMemsetKernel::configure(ITensor *tensor, const PixelValue &constant_value) { ARM_COMPUTE_ERROR_ON_NULLPTR(tensor); _tensor = tensor; _constant_value = constant_value; // Configure kernel window Window win = calculate_max_window(*tensor->info(), Steps()); INEKernel::configure(win); } void NEMemsetKernel::run(const Window &window, const ThreadInfo &info) { ARM_COMPUTE_UNUSED(info); ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); // Collapse all the batches on the third dimension bool has_collapsed = true; Window collapsed = window.collapse_if_possible(window, Window::DimZ, &has_collapsed); ARM_COMPUTE_ERROR_ON(!has_collapsed); uint8_t *const start_valid_region = _tensor->ptr_to_element(_tensor->info()->valid_region().anchor); const auto window_width = static_cast(collapsed.x().end()) - static_cast(collapsed.x().start()); const size_t element_size = _tensor->info()->element_size(); // Unroll X dimension collapsed.set(Window::DimX, Window::Dimension(0, 1, 1)); Iterator tensor_it(_tensor, collapsed); execute_window_loop(collapsed, [&](const Coordinates &) { uint8_t *base_addr = start_valid_region + tensor_it.offset(); // Set memory for(int i = 0; i < window_width; ++i) { std::memcpy(base_addr + i * element_size, &_constant_value.value, element_size); } }, tensor_it); } } // namespace arm_compute