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Diffstat (limited to 'src/runtime/NEON/functions/NEConvolution.cpp')
| -rw-r--r-- | src/runtime/NEON/functions/NEConvolution.cpp | 149 |
1 files changed, 0 insertions, 149 deletions
diff --git a/src/runtime/NEON/functions/NEConvolution.cpp b/src/runtime/NEON/functions/NEConvolution.cpp deleted file mode 100644 index 07ac8bd42b..0000000000 --- a/src/runtime/NEON/functions/NEConvolution.cpp +++ /dev/null @@ -1,149 +0,0 @@ -/* - * Copyright (c) 2016-2020 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/NEConvolution.h" - -#include "arm_compute/core/Error.h" -#include "arm_compute/core/ITensor.h" -#include "arm_compute/core/PixelValue.h" -#include "arm_compute/core/TensorInfo.h" -#include "arm_compute/core/Utils.h" -#include "arm_compute/core/Validate.h" -#include "arm_compute/runtime/NEON/NEScheduler.h" -#include "arm_compute/runtime/TensorAllocator.h" -#include "src/core/NEON/kernels/NEConvolutionKernel.h" -#include "src/core/NEON/kernels/NEConvolutionKernel.h" -#include "src/core/NEON/kernels/NEFillBorderKernel.h" -#include "support/MemorySupport.h" - -#include <array> -#include <utility> - -namespace arm_compute -{ -NEConvolution3x3::~NEConvolution3x3() = default; - -void NEConvolution3x3::configure(ITensor *input, ITensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value) -{ - auto k = arm_compute::support::cpp14::make_unique<NEConvolution3x3Kernel>(); - k->configure(input, output, conv, scale, border_mode == BorderMode::UNDEFINED); - _kernel = std::move(k); - - auto b = arm_compute::support::cpp14::make_unique<NEFillBorderKernel>(); - b->configure(input, _kernel->border_size(), border_mode, PixelValue(constant_border_value)); - _border_handler = std::move(b); -} - -template <unsigned int matrix_size> -NEConvolutionSquare<matrix_size>::~NEConvolutionSquare() = default; - -template <unsigned int matrix_size> -NEConvolutionSquare<matrix_size>::NEConvolutionSquare(std::shared_ptr<IMemoryManager> memory_manager) - : _memory_group(std::move(memory_manager)), _tmp(), _is_separable(false), _kernel_hor(), _kernel_vert(), _kernel(), _border_handler() -{ -} - -template <unsigned int matrix_size> -void NEConvolutionSquare<matrix_size>::configure(ITensor *input, ITensor *output, const int16_t *conv, uint32_t scale, BorderMode border_mode, - uint8_t constant_border_value) -{ - ARM_COMPUTE_ERROR_ON(conv == nullptr); - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8); - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::S16); - - std::array<int16_t, matrix_size> conv_col{ { 0 } }; - std::array<int16_t, matrix_size> conv_row{ { 0 } }; - - _is_separable = separate_matrix(conv, conv_col.data(), conv_row.data(), matrix_size); - - auto b = arm_compute::support::cpp14::make_unique<NEFillBorderKernel>(); - if(_is_separable) - { - DataType intermediate_type = DataType::UNKNOWN; - std::tie(std::ignore, intermediate_type) = data_type_for_convolution(conv_col.data(), conv_row.data(), matrix_size); - - _tmp.allocator()->init(TensorInfo(input->info()->tensor_shape(), 1, intermediate_type)); - - // Manage intermediate buffers - _memory_group.manage(&_tmp); - - // Calculate scale - if(scale == 0) - { - scale = calculate_matrix_scale(conv, matrix_size); - } - - _kernel_hor = arm_compute::support::cpp14::make_unique<NESeparableConvolutionHorKernel<matrix_size>>(); - _kernel_vert = arm_compute::support::cpp14::make_unique<NESeparableConvolutionVertKernel<matrix_size>>(); - - _kernel_hor->configure(input, &_tmp, conv_row.data(), border_mode == BorderMode::UNDEFINED); - _kernel_vert->configure(&_tmp, output, conv_col.data(), scale, border_mode == BorderMode::UNDEFINED); - - _tmp.allocator()->allocate(); - - b->configure(input, _kernel_hor->border_size(), border_mode, PixelValue(constant_border_value)); - } - else - { - _kernel = arm_compute::support::cpp14::make_unique<NEConvolutionKernel<matrix_size>>(); - _kernel->configure(input, output, conv, scale, border_mode == BorderMode::UNDEFINED); - b->configure(input, _kernel->border_size(), border_mode, PixelValue(constant_border_value)); - } - _border_handler = std::move(b); -} - -template <unsigned int matrix_size> -void NEConvolutionSquare<matrix_size>::run() -{ - NEScheduler::get().schedule(_border_handler.get(), Window::DimZ); - - if(_is_separable) - { - MemoryGroupResourceScope scope_mg(_memory_group); - - NEScheduler::get().schedule(_kernel_hor.get(), Window::DimY); - NEScheduler::get().schedule(_kernel_vert.get(), Window::DimY); - } - else - { - NEScheduler::get().schedule(_kernel.get(), Window::DimY); - } -} - -template class arm_compute::NEConvolutionSquare<5>; -template class arm_compute::NEConvolutionSquare<7>; -template class arm_compute::NEConvolutionSquare<9>; - -NEConvolutionRectangle::~NEConvolutionRectangle() = default; - -void NEConvolutionRectangle::configure(ITensor *input, ITensor *output, const int16_t *conv, uint32_t rows, uint32_t cols, uint32_t scale, BorderMode border_mode, uint8_t constant_border_value) -{ - auto k = arm_compute::support::cpp14::make_unique<NEConvolutionRectangleKernel>(); - k->configure(input, output, conv, rows, cols, scale, border_mode == BorderMode::UNDEFINED); - _kernel = std::move(k); - - auto b = arm_compute::support::cpp14::make_unique<NEFillBorderKernel>(); - b->configure(input, _kernel->border_size(), border_mode, PixelValue(constant_border_value)); - _border_handler = std::move(b); -} -} // namespace arm_compute |