diff options
Diffstat (limited to 'src/core/NEON/kernels/NEDeconvolutionLayerUpsampleKernel.cpp')
| -rw-r--r-- | src/core/NEON/kernels/NEDeconvolutionLayerUpsampleKernel.cpp | 165 |
1 files changed, 0 insertions, 165 deletions
diff --git a/src/core/NEON/kernels/NEDeconvolutionLayerUpsampleKernel.cpp b/src/core/NEON/kernels/NEDeconvolutionLayerUpsampleKernel.cpp deleted file mode 100644 index 71db2e9782..0000000000 --- a/src/core/NEON/kernels/NEDeconvolutionLayerUpsampleKernel.cpp +++ /dev/null @@ -1,165 +0,0 @@ -/* - * Copyright (c) 2016, 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/NEDeconvolutionLayerUpsampleKernel.h" - -#include "arm_compute/core/AccessWindowStatic.h" -#include "arm_compute/core/Coordinates.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/Validate.h" -#include "arm_compute/core/Window.h" - -#include <arm_neon.h> -#include <cstddef> -#include <cstdint> - -using namespace arm_compute; - -NEDeconvolutionLayerUpsampleKernel::NEDeconvolutionLayerUpsampleKernel() - : _offsets(nullptr), _input(nullptr), _output(nullptr) -{ -} - -BorderSize NEDeconvolutionLayerUpsampleKernel::border_size() const -{ - return BorderSize(1); -} - -void NEDeconvolutionLayerUpsampleKernel::configure(const ITensor *input, const ITensor *offsets, ITensor *output) -{ - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32); - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::F32); - ARM_COMPUTE_ERROR_ON(output->info()->dimension(0) == 0); - ARM_COMPUTE_ERROR_ON(output->info()->dimension(1) == 0); - - for(size_t i = 2; i < Coordinates::num_max_dimensions; ++i) - { - ARM_COMPUTE_ERROR_ON(input->info()->dimension(i) != output->info()->dimension(i)); - } - - _input = input; - _output = output; - _offsets = offsets; - - constexpr unsigned int num_elems_processed_per_iteration = 16; - const int border_offset = border_size().left; - - // Configure kernel window - Window win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration)); - - AccessWindowRectangle input_access(input->info(), -border_offset, -border_offset, input->info()->dimension(0) + border_offset, input->info()->dimension(1) + border_offset); - AccessWindowHorizontal offsets_access(offsets->info(), 0, num_elems_processed_per_iteration); - AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration); - - update_window_and_padding(win, input_access, offsets_access, output_access); - - output_access.set_valid_region(win, ValidRegion(Coordinates(), output->info()->tensor_shape())); - - INEKernel::configure(win); -} - -void NEDeconvolutionLayerUpsampleKernel::scale_nearest(const Window &window) -{ - const size_t input_stride = _input->info()->strides_in_bytes()[1]; - - // Compute the ratio between source height and destination height - const auto hr = static_cast<float>(_input->info()->dimension(1)) / static_cast<float>(_output->info()->dimension(1)); - - // Don't increment in X and Y direction for the input tensor - // A pointer to the start of this plane is needed as base for the precomputed offsets - Window win_in(window); - win_in.set(Window::DimX, Window::Dimension(0, 0, 0)); - win_in.set(Window::DimY, Window::Dimension(0, 0, 0)); - - Window win_off; - win_off.set(Window::DimX, window[Window::DimX]); - win_off.set(Window::DimY, window[Window::DimY]); - - for(size_t d = Window::DimZ; d < _offsets->info()->num_dimensions(); ++d) - { - win_off.set(d, Window::Dimension(0, 0, 0)); - } - - Iterator in(_input, win_in); - Iterator out(_output, window); - Iterator offsets(_offsets, win_off); - - switch(_input->info()->data_type()) - { - case DataType::F32: - { - float32x4x4_t tmp = - { - { - vdupq_n_f32(0), - vdupq_n_f32(0) - } - }; - execute_window_loop(window, [&](const Coordinates & id) - { - const auto offsets_ptr = reinterpret_cast<const int32_t *>(offsets.ptr()); - - const size_t in_yi = (id.y() + 0.5f) * hr; - const size_t offset_row = in_yi * input_stride; - - tmp.val[0] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[0] + offset_row), tmp.val[0], 0); - tmp.val[0] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[4] + offset_row), tmp.val[0], 1); - tmp.val[0] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[8] + offset_row), tmp.val[0], 2); - tmp.val[0] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[12] + offset_row), tmp.val[0], 3); - - tmp.val[1] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[1] + offset_row), tmp.val[1], 0); - tmp.val[1] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[5] + offset_row), tmp.val[1], 1); - tmp.val[1] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[9] + offset_row), tmp.val[1], 2); - tmp.val[1] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[13] + offset_row), tmp.val[1], 3); - - tmp.val[2] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[2] + offset_row), tmp.val[2], 0); - tmp.val[2] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[6] + offset_row), tmp.val[2], 1); - tmp.val[2] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[10] + offset_row), tmp.val[2], 2); - tmp.val[2] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[14] + offset_row), tmp.val[2], 3); - - tmp.val[3] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[3] + offset_row), tmp.val[3], 0); - tmp.val[3] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[7] + offset_row), tmp.val[3], 1); - tmp.val[3] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[11] + offset_row), tmp.val[3], 2); - tmp.val[3] = vsetq_lane_f32(*reinterpret_cast<const float *>(in.ptr() + offsets_ptr[15] + offset_row), tmp.val[3], 3); - - vst4q_f32(reinterpret_cast<float *>(out.ptr()), tmp); - }, - in, offsets, out); - break; - } - default: - ARM_COMPUTE_ERROR("Not supported"); - break; - } -} - -void NEDeconvolutionLayerUpsampleKernel::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); - scale_nearest(window); -} |