From 6ff3b19ee6120edf015fad8caab2991faa3070af Mon Sep 17 00:00:00 2001 From: Anthony Barbier Date: Mon, 4 Sep 2017 18:44:23 +0100 Subject: COMPMID-344 Updated doxygen Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae --- src/runtime/NEON/functions/NEConvolution.cpp | 120 +++++++++++++++++++++++++++ 1 file changed, 120 insertions(+) create mode 100644 src/runtime/NEON/functions/NEConvolution.cpp (limited to 'src/runtime/NEON/functions/NEConvolution.cpp') diff --git a/src/runtime/NEON/functions/NEConvolution.cpp b/src/runtime/NEON/functions/NEConvolution.cpp new file mode 100644 index 0000000000..3f39ae2cbd --- /dev/null +++ b/src/runtime/NEON/functions/NEConvolution.cpp @@ -0,0 +1,120 @@ +/* + * 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/NEConvolution.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/NEConvolutionKernel.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 +#include + +using namespace arm_compute; + +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::cpp14::make_unique(); + k->configure(input, output, conv, scale, border_mode == BorderMode::UNDEFINED); + _kernel = std::move(k); + _border_handler.configure(input, _kernel->border_size(), border_mode, PixelValue(constant_border_value)); +} + +template +NEConvolutionSquare::NEConvolutionSquare() + : _tmp(), _is_separable(false), _kernel_hor(), _kernel_vert(), _kernel(), _border_handler() +{ +} + +template +void NEConvolutionSquare::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 conv_col{ { 0 } }; + std::array conv_row{ { 0 } }; + + _is_separable = separate_matrix(conv, conv_col.data(), conv_row.data(), matrix_size); + + 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)); + + if(scale == 0) + { + scale = calculate_matrix_scale(conv, 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(); + + _border_handler.configure(input, _kernel_hor.border_size(), border_mode, PixelValue(constant_border_value)); + } + else + { + _kernel.configure(input, output, conv, scale, border_mode == BorderMode::UNDEFINED); + _border_handler.configure(input, _kernel.border_size(), border_mode, PixelValue(constant_border_value)); + } +} + +template +void NEConvolutionSquare::run() +{ + _border_handler.run(_border_handler.window()); + + if(_is_separable) + { + NEScheduler::get().schedule(&_kernel_hor, Window::DimY); + NEScheduler::get().schedule(&_kernel_vert, Window::DimY); + } + else + { + NEScheduler::get().schedule(&_kernel, Window::DimY); + } +} + +template class arm_compute::NEConvolutionSquare<5>; +template class arm_compute::NEConvolutionSquare<7>; +template class arm_compute::NEConvolutionSquare<9>; + +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::cpp14::make_unique(); + k->configure(input, output, conv, rows, cols, scale, border_mode == BorderMode::UNDEFINED); + _kernel = std::move(k); + _border_handler.configure(input, _kernel->border_size(), border_mode, PixelValue(constant_border_value)); +} -- cgit v1.2.1