/* * Copyright (c) 2017-2019 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/CPP/kernels/CPPUpsampleKernel.h" #include "arm_compute/core/Error.h" #include "arm_compute/core/Helpers.h" #include "arm_compute/core/ITensor.h" #include "arm_compute/core/TensorInfo.h" #include "arm_compute/core/Types.h" #include "arm_compute/core/Validate.h" #include "arm_compute/core/utils/misc/ShapeCalculator.h" #include #include namespace arm_compute { CPPUpsampleKernel::CPPUpsampleKernel() : _input(nullptr), _output(nullptr), _info() { } bool CPPUpsampleKernel::is_parallelisable() const { return false; } void CPPUpsampleKernel::configure(const ITensor *input, ITensor *output, const PadStrideInfo &info) { ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); _input = input; _output = output; _info = info; // Configure kernel window Window win = calculate_max_window(*input->info(), Steps()); // The CPPUpsampleKernel doesn't need padding so update_window_and_padding() can be skipped Coordinates coord; coord.set_num_dimensions(output->info()->num_dimensions()); output->info()->set_valid_region(ValidRegion(coord, output->info()->tensor_shape())); ICPPKernel::configure(win); } void CPPUpsampleKernel::run(const Window &window, const ThreadInfo &info) { ARM_COMPUTE_UNUSED(info); ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICPPKernel::window(), window); // Initialize _scaled_output buffer const int width_scaled = _output->info()->dimension(0); const int height_scaled = _output->info()->dimension(1); const int stride_x = _info.stride().first; const int stride_y = _info.stride().second; const int start_x = _info.pad_left(); const int start_y = _info.pad_top(); const int end_x = width_scaled - _info.pad_right(); const int end_y = height_scaled - _info.pad_bottom(); const size_t element_size = _input->info()->element_size(); //The fill value is normally 0, but for QASYMM8 the '0' corresponds to the offset const uint8_t fill_value = _output->info()->data_type() == DataType::QASYMM8 ? utility::clamp(_output->info()->quantization_info().uniform().offset) : 0; //Filling a value different than 0 works only for QASYMM8 datatype since we are filling 1byte values in a buffer of uint8_ts std::fill_n(_output->buffer(), _output->info()->total_size(), fill_value); // Create window Window window_out(window); window_out.set(Window::DimX, Window::Dimension(start_x, end_x, stride_x)); window_out.set(Window::DimY, Window::Dimension(start_y, end_y, stride_y)); // Create iterators Iterator in(_input, window); Iterator out(_output, window_out); execute_window_loop(window, [&](const Coordinates &) { memcpy(out.ptr(), in.ptr(), element_size); }, in, out); } } // namespace arm_compute