| /* |
| * Copyright (c) 2017 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/NECol2ImKernel.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_neon.h> |
| #include <cstddef> |
| #include <cstdint> |
| |
| using namespace arm_compute; |
| |
| template <typename T> |
| void NECol2ImKernel::run_col2im(const Window &window) |
| { |
| const int output_stride_x = _output->info()->strides_in_bytes().x(); |
| const int output_stride_y = _output->info()->strides_in_bytes().y(); |
| const int output_stride_z = _output->info()->strides_in_bytes().z(); |
| |
| Window window_out(window); |
| window_out.set(Window::DimX, Window::Dimension(0, 0, 0)); |
| window_out.set(Window::DimY, Window::Dimension(0, 0, 0)); |
| window_out.set(Window::DimZ, Window::Dimension(0, 0, 0)); |
| |
| // Create iterators |
| Iterator in(_input, window); |
| Iterator out(_output, window_out); |
| |
| execute_window_loop(window, [&](const Coordinates & id) |
| { |
| const int hidx = id.y(); |
| const int idx = id.x() * output_stride_z + (hidx / _convolved_dims.first) * output_stride_y + (hidx % _convolved_dims.first) * output_stride_x; |
| |
| *(reinterpret_cast<T *>(out.ptr() + idx)) = *(reinterpret_cast<const T *>(in.ptr())); |
| }, |
| in, out); |
| } |
| |
| NECol2ImKernel::NECol2ImKernel() |
| : _func(), _input(nullptr), _output(nullptr), _convolved_dims() |
| { |
| } |
| |
| void NECol2ImKernel::configure(const ITensor *input, ITensor *output, std::pair<unsigned int, unsigned int> convolved_dims) |
| { |
| ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S8, DataType::QS8, DataType::U16, DataType::S16, DataType::QS16, DataType::U32, DataType::S32, DataType::F16, |
| DataType::F32); |
| ARM_COMPUTE_ERROR_ON_NULLPTR(output); |
| |
| TensorShape output_shape = input->info()->tensor_shape(); |
| output_shape.set(0, convolved_dims.first); |
| output_shape.set(1, convolved_dims.second); |
| output_shape.set(2, input->info()->tensor_shape()[0]); |
| |
| // Output auto inizialitation if not yet initialized |
| auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type(), input->info()->fixed_point_position()); |
| |
| ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(output->info()->tensor_shape(), output_shape); |
| ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input, output); |
| |
| _input = input; |
| _output = output; |
| _convolved_dims = convolved_dims; |
| |
| switch(input->info()->element_size()) |
| { |
| case 1: |
| _func = &NECol2ImKernel::run_col2im<uint8_t>; |
| break; |
| case 2: |
| _func = &NECol2ImKernel::run_col2im<uint16_t>; |
| break; |
| case 4: |
| _func = &NECol2ImKernel::run_col2im<uint32_t>; |
| break; |
| default: |
| ARM_COMPUTE_ERROR("Element size not supported"); |
| break; |
| } |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*input->info(), Steps()); |
| |
| // The NECol2ImKernel 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())); |
| |
| INEKernel::configure(win); |
| } |
| |
| void NECol2ImKernel::run(const Window &window) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); |
| |
| (this->*_func)(window); |
| } |