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 --- .../kernels/NEGEMMMatrixAccumulateBiasesKernel.cpp | 128 +++++++++++++++++++++ 1 file changed, 128 insertions(+) create mode 100644 src/core/NEON/kernels/NEGEMMMatrixAccumulateBiasesKernel.cpp (limited to 'src/core/NEON/kernels/NEGEMMMatrixAccumulateBiasesKernel.cpp') diff --git a/src/core/NEON/kernels/NEGEMMMatrixAccumulateBiasesKernel.cpp b/src/core/NEON/kernels/NEGEMMMatrixAccumulateBiasesKernel.cpp new file mode 100644 index 0000000000..7a3bae50c0 --- /dev/null +++ b/src/core/NEON/kernels/NEGEMMMatrixAccumulateBiasesKernel.cpp @@ -0,0 +1,128 @@ +/* + * 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/NEGEMMMatrixAccumulateBiasesKernel.h" + +#include "arm_compute/core/AccessWindowStatic.h" +#include "arm_compute/core/Error.h" +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/ITensor.h" +#include "arm_compute/core/NEON/NEFixedPoint.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/Validate.h" +#include "arm_compute/core/Window.h" + +#include +#include +#include + +using namespace arm_compute; + +NEGEMMMatrixAccumulateBiasesKernel::NEGEMMMatrixAccumulateBiasesKernel() + : _accum(nullptr), _biases(nullptr) +{ +} + +void NEGEMMMatrixAccumulateBiasesKernel::configure(ITensor *accum, const ITensor *biases) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(accum, 1, DataType::QS8, DataType::F32); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(biases, 1, DataType::QS8, DataType::F32); + ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(biases, accum); + ARM_COMPUTE_ERROR_ON(biases->info()->num_dimensions() != 1); + + _biases = biases; + _accum = accum; + + constexpr unsigned int num_elems_processed_per_iteration = 16; + + // Configure kernel window + Window win = calculate_max_window(*accum->info(), Steps(num_elems_processed_per_iteration)); + + AccessWindowStatic biases_access(biases->info(), 0, 0, biases->info()->dimension(0), biases->info()->dimension(1)); + + update_window_and_padding(win, + AccessWindowHorizontal(accum->info(), 0, num_elems_processed_per_iteration), + biases_access); + + AccessWindowHorizontal output_access(accum->info(), 0, num_elems_processed_per_iteration); + + // Set the valid region for the accum tensor + Coordinates coord; + coord.set_num_dimensions(accum->info()->num_dimensions()); + output_access.set_valid_region(win, ValidRegion(coord, accum->info()->tensor_shape())); + + INEKernel::configure(win); +} + +void NEGEMMMatrixAccumulateBiasesKernel::run(const Window &window) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); + + Window win_biases; + win_biases.set(Window::DimX, Window::Dimension(window.x().start(), window.x().end(), window.x().step())); + win_biases.set(Window::DimY, Window::Dimension(0, 1, 1)); + + Iterator in0_out(_accum, window); + Iterator in1(_biases, win_biases); + + switch(_accum->info()->data_type()) + { + case DataType::F32: + { + execute_window_loop(window, [&](const Coordinates & id) + { + const float32x4x4_t accum = vld4q_f32(reinterpret_cast(in0_out.ptr())); + const float32x4x4_t biases = vld4q_f32(reinterpret_cast(in1.ptr())); + const float32x4x4_t res = + { + { + vaddq_f32(accum.val[0], biases.val[0]), + vaddq_f32(accum.val[1], biases.val[1]), + vaddq_f32(accum.val[2], biases.val[2]), + vaddq_f32(accum.val[3], biases.val[3]) + } + }; + + vst4q_f32(reinterpret_cast(in0_out.ptr()), res); + }, + in0_out, in1); + break; + } + case DataType::QS8: + { + execute_window_loop(window, [&](const Coordinates & id) + { + const qint8x16_t accum = vld1q_qs8(reinterpret_cast(in0_out.ptr())); + const qint8x16_t biases = vld1q_qs8(reinterpret_cast(in1.ptr())); + + vst1q_qs8(reinterpret_cast(in0_out.ptr()), vqaddq_qs8(accum, biases)); + }, + in0_out, in1); + break; + } + default: + ARM_COMPUTE_ERROR("Data type not supported"); + break; + } +} -- cgit v1.2.1