| /* |
| * 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/NEReorgLayerKernel.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 <cstddef> |
| #include <cstdint> |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, int32_t stride) |
| { |
| //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(input->data_type() == DataType::UNKNOWN); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->data_layout() == DataLayout::UNKNOWN); |
| |
| const size_t idx_width = get_data_layout_dimension_index(input->data_layout(), DataLayoutDimension::WIDTH); |
| const size_t idx_height = get_data_layout_dimension_index(input->data_layout(), DataLayoutDimension::HEIGHT); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON(stride <= 0); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG((input->tensor_shape()[idx_width] % stride) != 0, "The width of the input tensor must be a multiple of stride"); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG((input->tensor_shape()[idx_height] % stride) != 0, "The height of the input tensor must be a multiple of stride"); |
| |
| // Validate output if initialized |
| if(output->total_size() != 0) |
| { |
| const TensorInfo tensor_info_output = output->clone()->set_tensor_shape(misc::shape_calculator::compute_reorg_output_shape(*input, stride)); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(output, &tensor_info_output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| } |
| |
| return Status{}; |
| } |
| } // namespace |
| |
| NEReorgLayerKernel::NEReorgLayerKernel() |
| : _input(nullptr), _output(nullptr), _stride(1) |
| { |
| } |
| |
| void NEReorgLayerKernel::configure(const ITensor *input, ITensor *output, int32_t stride) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| |
| // Output auto inizialitation if not yet initialized |
| const TensorShape output_shape = misc::shape_calculator::compute_reorg_output_shape(*input->info(), stride); |
| auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape)); |
| |
| // Perform validation step |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), stride)); |
| |
| _input = input; |
| _output = output; |
| _stride = stride; |
| |
| // The NEReorgLayerKernel doesn't need padding so update_window_and_padding() can be skipped |
| output->info()->set_valid_region(ValidRegion(Coordinates(), output->info()->tensor_shape())); |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*output->info(), Steps()); |
| |
| ICPPKernel::configure(win); |
| } |
| |
| Status NEReorgLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, int32_t stride) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, stride)); |
| return Status{}; |
| } |
| |
| void NEReorgLayerKernel::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); |
| |
| const DataLayout data_layout = _input->info()->data_layout(); |
| const size_t idx_w = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); |
| const size_t idx_h = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); |
| const size_t idx_c = get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL); |
| |
| const unsigned int stride = _stride; |
| const unsigned int out_c = _output->info()->tensor_shape()[idx_c] / (stride * stride); |
| const uint8_t *in_ptr = _input->buffer(); |
| |
| // Collapse |
| Window collapsed_window = window.collapse_if_possible(window, 4); |
| |
| // Create Iterator |
| Iterator out(_output, collapsed_window); |
| |
| // Perform reorg |
| execute_window_loop(collapsed_window, [&](const Coordinates & id) |
| { |
| // Get spatial coords and channels |
| const unsigned int w = id[idx_w]; |
| const unsigned int h = id[idx_h]; |
| const unsigned int c = id[idx_c]; |
| |
| // Calculate mapping |
| const unsigned int offset = c / out_c; |
| Coordinates map_coords = id; |
| map_coords.set(idx_w, w * stride + offset % stride); |
| map_coords.set(idx_h, h * stride + offset / stride); |
| map_coords.set(idx_c, c % out_c); |
| |
| // Perform mapping |
| std::memcpy(out.ptr(), in_ptr + _input->info()->offset_element_in_bytes(map_coords), _input->info()->element_size()); |
| }, |
| out); |
| } |
| } // namespace arm_compute |