/* * 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/NEWidthConcatenateLayerKernel.h" #include "arm_compute/core/Error.h" #include "arm_compute/core/Helpers.h" #include "arm_compute/core/IAccessWindow.h" #include "arm_compute/core/ITensor.h" #include "arm_compute/core/NEON/NEAsymm.h" #include "arm_compute/core/NEON/wrapper/wrapper.h" #include "arm_compute/core/TensorInfo.h" #include "arm_compute/core/Utils.h" #include "arm_compute/core/Validate.h" #include "arm_compute/core/Window.h" #include using namespace arm_compute; namespace { std::pair validate_and_configure_window(ITensorInfo *input, unsigned int width_offset, ITensorInfo *output) { const unsigned int num_elems_processed_per_iteration = 16 / output->element_size(); // The window needs to be based on input as we copy all the widths of input Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration)); AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration); AccessWindowHorizontal output_access(output, width_offset, num_elems_processed_per_iteration); bool window_changed = update_window_and_padding(win, input_access, output_access); Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; return std::make_pair(err, win); } Status validate_arguments(const ITensorInfo *input, unsigned int width_offset, const ITensorInfo *output) { ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); // Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input) is not needed here as this kernel doesn't use NEON FP16 instructions. ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S8, DataType::QASYMM8, DataType::U16, DataType::S16, DataType::F16, DataType::U32, DataType::S32, DataType::F32); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(0) + width_offset > output->dimension(0)); for(size_t i = 1; i < Coordinates::num_max_dimensions; ++i) { ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(i) != output->dimension(i)); } return Status{}; } } // namespace NEWidthConcatenateLayerKernel::NEWidthConcatenateLayerKernel() : _input(nullptr), _output(nullptr), _width_offset(0) { } void NEWidthConcatenateLayerKernel::configure(const ITensor *input, unsigned int width_offset, ITensor *output) { ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), width_offset, output->info())); _input = input; _output = output; _width_offset = width_offset; // Configure kernel window auto win_config = validate_and_configure_window(input->info(), width_offset, output->info()); ARM_COMPUTE_ERROR_THROW_ON(std::get<0>(win_config)); INEKernel::configure(std::get<1>(win_config)); // Set output valid region output->info()->set_valid_region(ValidRegion(Coordinates(), output->info()->tensor_shape())); } Status NEWidthConcatenateLayerKernel::validate(const ITensorInfo *input, unsigned int width_offset, const ITensorInfo *output) { ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, width_offset, output)); ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), width_offset, output->clone().get()).first); return Status{}; } void NEWidthConcatenateLayerKernel::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); // Offset output pointer to the correct position uint8_t *output_ptr = _output->buffer() + _output->info()->offset_first_element_in_bytes() + _width_offset * _output->info()->strides_in_bytes()[0]; // Create iterators Iterator input(_input, window); Iterator output(_output, window); const DataType dt = _input->info()->data_type(); const UniformQuantizationInfo &input_qinfo = _input->info()->quantization_info().uniform(); const UniformQuantizationInfo &output_qinfo = _output->info()->quantization_info().uniform(); if(dt == DataType::QASYMM8 && input_qinfo != output_qinfo) { execute_window_loop(window, [&](const Coordinates &) { vst1q_u8(output_ptr + output.offset(), vquantize(vdequantize(vld1q_u8(input.ptr()), input_qinfo), output_qinfo)); }, input, output); } else { execute_window_loop(window, [&](const Coordinates &) { const auto in_ptr = input.ptr(); const auto out_ptr = output_ptr + output.offset(); wrapper::vstore(out_ptr, wrapper::vloadq(in_ptr)); }, input, output); } }