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Diffstat (limited to 'src/runtime/NEON/functions/NEDeconvolutionLayerUpsample.cpp')
-rw-r--r-- | src/runtime/NEON/functions/NEDeconvolutionLayerUpsample.cpp | 121 |
1 files changed, 0 insertions, 121 deletions
diff --git a/src/runtime/NEON/functions/NEDeconvolutionLayerUpsample.cpp b/src/runtime/NEON/functions/NEDeconvolutionLayerUpsample.cpp deleted file mode 100644 index 63f17bcb5a..0000000000 --- a/src/runtime/NEON/functions/NEDeconvolutionLayerUpsample.cpp +++ /dev/null @@ -1,121 +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/runtime/NEON/functions/NEDeconvolutionLayerUpsample.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/NEON/kernels/NEDeconvolutionLayerUpsampleKernel.h" -#include "arm_compute/core/PixelValue.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Window.h" -#include "arm_compute/runtime/NEON/NEScheduler.h" -#include "arm_compute/runtime/TensorAllocator.h" -#include "support/ToolchainSupport.h" - -#include <cmath> -#include <cstddef> -#include <utility> - -using namespace arm_compute; - -namespace -{ -inline void precompute_offsets(ITensor *offsets, float wr, size_t input_element_size, const std::pair<unsigned int, unsigned int> &a, - const std::pair<unsigned int, unsigned int> &iz, const PadStrideInfo &info) -{ - ARM_COMPUTE_ERROR_ON(nullptr == offsets); - Window win; - const int padx = info.pad().first; - const int pady = info.pad().second; - const int ax = a.first; - const int ay = a.second; - const int offset_width = offsets->info()->dimension(0); - const int offset_height = offsets->info()->dimension(1); - // The values of ax and ay denote the number of ZEROS to be added on the top and right inner border of the image. - // Step value along the XY axis will depend on the number of zeros to be inserted between samples (number of zeros + 1). - // Pre-compute the X offset, Y's stride is unknown at this point so we can't precompute Y's offsets - for(int yi = ay; yi < (offset_height - pady); yi += (1 + iz.second)) - { - for(int xi = padx; xi < (offset_width - ax); xi += (1 + iz.first)) - { - int *ptr = reinterpret_cast<int *>(offsets->ptr_to_element(Coordinates(xi, yi))); - const size_t in_xi = (xi + 0.5f) * wr; - *reinterpret_cast<int32_t *>(ptr) = in_xi * input_element_size; - } - } -} -} // namespace - -NEDeconvolutionLayerUpsample::NEDeconvolutionLayerUpsample(std::shared_ptr<IMemoryManager> memory_manager) // NOLINT - : _memory_group(std::move(memory_manager)), - _offsets(), - _border_handler(), - _upsample() -{ -} - -void NEDeconvolutionLayerUpsample::configure(ITensor *input, ITensor *output, const std::pair<unsigned int, unsigned int> &a, - const std::pair<unsigned int, unsigned int> &iz, const PadStrideInfo &info) -{ - ARM_COMPUTE_ERROR_ON(nullptr == input); - ARM_COMPUTE_ERROR_ON(nullptr == output); - - for(size_t i = 2; i < Coordinates::num_max_dimensions; ++i) - { - ARM_COMPUTE_ERROR_ON(input->info()->dimension(i) != output->info()->dimension(i)); - } - - // Get the tensor shape - const TensorShape shape(output->info()->dimension(0), output->info()->dimension(1)); - - // Compute the ratio between source width/height and destination width/height - const auto wr = static_cast<float>(input->info()->dimension(0)) / static_cast<float>(output->info()->dimension(0)); - const auto hr = static_cast<float>(input->info()->dimension(1)) / static_cast<float>(output->info()->dimension(1)); - ARM_COMPUTE_UNUSED(hr); - // Get the element size of the input image - const size_t input_element_size = input->info()->element_size(); - - TensorInfo tensor_info_offsets(shape, Format::S32); - _offsets.allocator()->init(tensor_info_offsets); - - _upsample.configure(input, &_offsets, output); - - // Allocate once the configure methods have been called - _offsets.allocator()->allocate(); - // Pre-compute offsets for nearest interpolation - std::fill_n(reinterpret_cast<int32_t *>(_offsets.buffer()), _offsets.info()->total_size() / sizeof(int32_t), -1 * input_element_size); - precompute_offsets(&_offsets, wr, input_element_size, a, iz, info); - - _border_handler.configure(input, _upsample.border_size(), BorderMode::CONSTANT, PixelValue(0)); -} - -void NEDeconvolutionLayerUpsample::run() -{ - NEScheduler::get().schedule(&_border_handler, Window::DimZ); - _memory_group.acquire(); - NEScheduler::get().schedule(&_upsample, Window::DimY); - _memory_group.release(); -} |