/* * Copyright (c) 2018-2021 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 "src/core/NEON/kernels/NEReverseKernel.h" #include "arm_compute/core/TensorInfo.h" #include "arm_compute/core/Validate.h" #include "arm_compute/core/Window.h" #include "src/core/NEON/wrapper/wrapper.h" #include "src/core/helpers/AutoConfiguration.h" #include "src/core/helpers/WindowHelpers.h" namespace arm_compute { namespace { Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *axis) { ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output, axis); //Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input) is not needed here as this kernel doesn't use CPU FP16 instructions. ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN); ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(axis, 1, DataType::U32); ARM_COMPUTE_RETURN_ERROR_ON_MSG(axis->num_dimensions() > 1, "Axis must be a 1D tensor"); ARM_COMPUTE_RETURN_ERROR_ON_MSG(axis->dimension(0) > 4, "Only up to 4 dimensions can be reversed"); // Checks performed when output is configured if(output->total_size() != 0) { ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output); } return Status{}; } } // namespace NEReverseKernel::NEReverseKernel() : _input(nullptr), _output(nullptr), _axis(nullptr) { } void NEReverseKernel::configure(const ITensor *input, ITensor *output, const ITensor *axis) { ARM_COMPUTE_ERROR_ON_NULLPTR(input, output, axis); _input = input; _output = output; _axis = axis; // Output tensor auto initialization if not yet initialized auto_init_if_empty(*output->info(), *input->info()->clone()); ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), axis->info())); // Configure kernel window INEKernel::configure(calculate_max_window(*output->info())); } Status NEReverseKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *axis) { ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, axis)); return Status{}; } template void run_reverse(const Window &window, const ITensor *input, const ITensor *axis, ITensor *output) { int axis_bit = 0; for(unsigned int i = 0; i < axis->info()->dimension(0); ++i) { const int axis_i = *(reinterpret_cast(axis->buffer()) + i); axis_bit |= 1 << axis_i; } // Check if we need a left-over loop for the y dimension const int window_step_x = 16 / input->info()->element_size(); const int window_start_x = window.x().start(); const int window_end_x = window.x().end(); Window win(window); win.set(Window::DimX, Window::Dimension(0, 1, 1)); Iterator input_it(input, win); execute_window_loop(win, [&](const Coordinates & id) { int x = window_start_x; for(; x <= (window_end_x - window_step_x); x += window_step_x) { auto in = wrapper::vloadq(reinterpret_cast(input_it.ptr()) + x); // Reverse 0 axis if(axis_bit & 0x1) { in = wrapper::vrev64(in); in = wrapper::vcombine(wrapper::vgethigh(in), wrapper::vgetlow(in)); } const int offset_x = (axis_bit & 0x1) ? output->info()->dimension(0) - x - window_step_x : x; const int offset_y = (axis_bit & 0x2) ? output->info()->dimension(1) - id.y() - 1 : id.y(); const int offset_z = (axis_bit & 0x4) ? output->info()->dimension(2) - id.z() - 1 : id.z(); const int offset_w = (axis_bit & 0x8) ? output->info()->dimension(3) - id[3] - 1 : id[3]; auto out_ptr = reinterpret_cast(output->ptr_to_element(Coordinates(offset_x, offset_y, offset_z, offset_w))); wrapper::vstore(out_ptr, in); } // Compute left-over elements for(; x < window_end_x; ++x) { const auto in = *(reinterpret_cast(input_it.ptr()) + x); const int offset_x = (axis_bit & 0x1) ? output->info()->dimension(0) - x - 1 : x; const int offset_y = (axis_bit & 0x2) ? output->info()->dimension(1) - id.y() - 1 : id.y(); const int offset_z = (axis_bit & 0x4) ? output->info()->dimension(2) - id.z() - 1 : id.z(); const int offset_w = (axis_bit & 0x8) ? output->info()->dimension(3) - id[3] - 1 : id[3]; *reinterpret_cast(output->ptr_to_element(Coordinates(offset_x, offset_y, offset_z, offset_w))) = in; } }, input_it); } void NEReverseKernel::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); switch(_input->info()->element_size()) { case 4: run_reverse(window, _input, _axis, _output); break; case 2: run_reverse(window, _input, _axis, _output); break; case 1: run_reverse(window, _input, _axis, _output); break; default: ARM_COMPUTE_ERROR("Element size not supported"); } } } // namespace arm_compute