| /* |
| * Copyright (c) 2018-2021, 2023 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/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| #include "src/core/NEON/wrapper/wrapper.h" |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| Status |
| validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const ITensorInfo *axis, bool use_inverted_axis) |
| { |
| ARM_COMPUTE_UNUSED(use_inverted_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, DataType::S32); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(axis->num_dimensions() > 1, "Axis must be a 1D tensor"); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->num_dimensions() > 4, |
| "Current implementation only supports up to 4 dimensions."); |
| 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), _use_inverted_axis(false) |
| { |
| } |
| |
| void NEReverseKernel::configure(const ITensor *input, ITensor *output, const ITensor *axis, bool use_inverted_axis) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output, axis); |
| |
| _input = input; |
| _output = output; |
| _axis = axis; |
| _use_inverted_axis = use_inverted_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(), use_inverted_axis)); |
| |
| // Configure kernel window |
| INEKernel::configure(calculate_max_window(*output->info())); |
| } |
| |
| Status NEReverseKernel::validate(const ITensorInfo *input, |
| const ITensorInfo *output, |
| const ITensorInfo *axis, |
| bool use_inverted_axis) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, axis, use_inverted_axis)); |
| |
| return Status{}; |
| } |
| |
| template <typename T> |
| void run_reverse( |
| const Window &window, const ITensor *input, const ITensor *axis, ITensor *output, bool use_inverted_axis) |
| { |
| unsigned int axis_bit = 0; |
| const int rank = input->info()->num_dimensions(); |
| |
| for (unsigned int i = 0; i < axis->info()->dimension(0); ++i) |
| { |
| int axis_i = *(reinterpret_cast<const int *>(axis->buffer()) + i); |
| |
| // The values of axis tensor must be between [-rank, rank-1]. |
| if ((axis_i < -rank) || (axis_i >= rank)) |
| { |
| ARM_COMPUTE_ERROR("the values of the axis tensor must be within [-rank, rank-1]."); |
| } |
| |
| // In case of negative axis value i.e targeted axis(i) = rank + axis(i) |
| if (axis_i < 0) |
| { |
| axis_i = rank + axis_i; |
| } |
| |
| // Reverse ACL axis indices convention i.e. (inverted)axis = (tensor_rank - 1) - axis |
| if (use_inverted_axis) |
| { |
| axis_i = (rank - 1) - axis_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<T *>(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<T *>(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<T *>(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<T *>(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<uint32_t>(window, _input, _axis, _output, _use_inverted_axis); |
| break; |
| case 2: |
| run_reverse<uint16_t>(window, _input, _axis, _output, _use_inverted_axis); |
| break; |
| case 1: |
| run_reverse<uint8_t>(window, _input, _axis, _output, _use_inverted_axis); |
| break; |
| default: |
| ARM_COMPUTE_ERROR("Element size not supported"); |
| } |
| } |
| } // namespace arm_compute |