From b7b31538eb9137e4d3e8de6d381dcbe9fc58df94 Mon Sep 17 00:00:00 2001 From: Michalis Spyrou Date: Thu, 23 Nov 2017 12:10:21 +0000 Subject: COMPMID-464 Implement Depthwise separable convolution on NEON Change-Id: Iccd686be18381e96bcf09b14c7017c6dda0f38d8 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/109824 Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com Reviewed-by: Pablo Tello --- src/core/NEON/kernels/NEDepthwiseIm2ColKernel.cpp | 138 +++++++++++++++++++++ .../kernels/NEDepthwiseVectorToTensorKernel.cpp | 95 ++++++++++++++ .../kernels/NEDepthwiseWeightsReshapeKernel.cpp | 112 +++++++++++++++++ .../kernels/NEGEMMMatrixVectorMultiplyKernel.cpp | 131 +++++++++++++++++++ 4 files changed, 476 insertions(+) create mode 100644 src/core/NEON/kernels/NEDepthwiseIm2ColKernel.cpp create mode 100644 src/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.cpp create mode 100644 src/core/NEON/kernels/NEDepthwiseWeightsReshapeKernel.cpp create mode 100644 src/core/NEON/kernels/NEGEMMMatrixVectorMultiplyKernel.cpp (limited to 'src/core/NEON') diff --git a/src/core/NEON/kernels/NEDepthwiseIm2ColKernel.cpp b/src/core/NEON/kernels/NEDepthwiseIm2ColKernel.cpp new file mode 100644 index 0000000000..2ceb39d217 --- /dev/null +++ b/src/core/NEON/kernels/NEDepthwiseIm2ColKernel.cpp @@ -0,0 +1,138 @@ +/* + * 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/NEDepthwiseIm2ColKernel.h" + +#include "arm_compute/core/AccessWindowTranspose.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/INEKernel.h" +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/Validate.h" +#include "arm_compute/core/Window.h" + +using namespace arm_compute; + +NEDepthwiseIm2ColKernel::NEDepthwiseIm2ColKernel() + : _input(nullptr), _output(nullptr), _kernel_dims(), _conv_info(), _has_bias() +{ +} + +void NEDepthwiseIm2ColKernel::configure(const ITensor *input, ITensor *output, const Size2D &kernel_dims, const PadStrideInfo &conv_info, bool has_bias) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); + ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input, output); + ARM_COMPUTE_ERROR_ON(input->info()->dimension(2) != output->info()->dimension(2)); + ARM_COMPUTE_ERROR_ON(output->info()->dimension(0) != (kernel_dims.width * kernel_dims.height + ((has_bias) ? 1 : 0))); + + _input = input; + _output = output; + _kernel_dims = kernel_dims; + _conv_info = conv_info; + _has_bias = has_bias; + + // Configure kernel window + Window win = calculate_max_window(*input->info(), Steps()); + + // The NEDepthwiseIm2ColKernel doesn't need padding so update_window_and_padding() can be skipped + output->info()->set_valid_region(ValidRegion(Coordinates(), output->info()->tensor_shape())); + + INEKernel::configure(win); +} + +void NEDepthwiseIm2ColKernel::run(const Window &window, const ThreadInfo &info) +{ + ARM_COMPUTE_UNUSED(info); + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + + //const int kernel_depth = _input->info()->dimension(2); + const int input_w = _input->info()->dimension(0); + const int input_h = _input->info()->dimension(1); + const int input_stride_x = _input->info()->strides_in_bytes().x(); + const int input_stride_y = _input->info()->strides_in_bytes().y(); + const int input_stride_z = _input->info()->strides_in_bytes().z(); + const int stride_x = _conv_info.stride().first; + const int stride_y = _conv_info.stride().second; + + const int pad_left = _conv_info.pad_left(); + const int pad_right = _conv_info.pad_right(); + const int pad_top = _conv_info.pad_top(); + + Window window_in(window); + // The first three dimensions of the input are increased by the inner loops + window_in.set(Window::DimX, Window::Dimension(0, 0, 0)); + window_in.set(Window::DimY, Window::Dimension(0, 0, 0)); + window_in.set(Window::DimZ, Window::Dimension(0, 0, 0)); + + // Setup output window + Window window_out(window); + window_out.set(Window::DimX, Window::Dimension(0, _output->info()->dimension(0), _output->info()->dimension(0))); + window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), 1)); + window_out.set(Window::DimZ, Window::Dimension(0, _output->info()->dimension(2), 1)); + + Iterator in(_input, window_in); + Iterator out(_output, window_out); + + const int full_length = input_w + pad_left + pad_right; + const int max_initial_x = stride_x * (((full_length - _kernel_dims.width) / stride_x) + 1); + + execute_window_loop(window_out, [&](const Coordinates & id) + { + const int src_pixel_linear = id.y() * stride_x; + + const int src_x = -pad_left + src_pixel_linear % max_initial_x; + const int src_y = -pad_top + src_pixel_linear / max_initial_x * stride_y; + + // Get pointers + const uint8_t *const input_ptr = in.ptr() + id.z() * input_stride_z; + auto output_ptr = reinterpret_cast(out.ptr()); + const int height = src_y + _kernel_dims.height; + const int width = src_x + _kernel_dims.width; + + for(int y = src_y; y < height; ++y) + { + for(int x = src_x; x < width; ++x, ++output_ptr) + { + if(x < 0 || x >= input_w || y < 0 || y >= input_h) + { + *output_ptr = 0; + } + else + { + *output_ptr = *(reinterpret_cast(input_ptr + x * input_stride_x + y * input_stride_y)); + } + } + } + + if(_has_bias) + { + *output_ptr = static_cast(1); + } + }, + in, out); +} diff --git a/src/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.cpp b/src/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.cpp new file mode 100644 index 0000000000..6deda506ab --- /dev/null +++ b/src/core/NEON/kernels/NEDepthwiseVectorToTensorKernel.cpp @@ -0,0 +1,95 @@ +/* + * 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/NEDepthwiseVectorToTensorKernel.h" + +#include "arm_compute/core/AccessWindowTranspose.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/INEKernel.h" +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/Validate.h" +#include "arm_compute/core/Window.h" + +using namespace arm_compute; + +NEDepthwiseVectorToTensorKernel::NEDepthwiseVectorToTensorKernel() + : _input(nullptr), _output(nullptr), _conv_dims() +{ +} + +void NEDepthwiseVectorToTensorKernel::configure(const ITensor *input, ITensor *output, size_t conv_w, size_t conv_h) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); + ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input, output); + + _input = input; + _output = output; + _conv_dims = std::pair(conv_w, conv_h); + + // Configure kernel window + Window win = calculate_max_window(*input->info(), Steps()); + // The NEDepthwisevectorToTensorKernel doesn't need padding so update_window_and_padding() can be skipped + output->info()->set_valid_region(ValidRegion(Coordinates(), output->info()->tensor_shape())); + + INEKernel::configure(win); +} + +void NEDepthwiseVectorToTensorKernel::run(const Window &window, const ThreadInfo &info) +{ + ARM_COMPUTE_UNUSED(info); + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + + // const int input_w = _input->info()->dimension(0); + const int output_stride_x = _output->info()->strides_in_bytes().x(); + const int output_stride_y = _output->info()->strides_in_bytes().y(); + const int output_stride_z = _output->info()->strides_in_bytes().z(); + + // Setup output window + Window window_out(window); + window_out.set(Window::DimX, Window::Dimension(0, 0, 0)); + window_out.set(Window::DimY, Window::Dimension(0, 0, 0)); + window_out.set(Window::DimZ, Window::Dimension(0, 0, 0)); + + Iterator in(_input, window); + Iterator out(_output, window_out); + + const int patch_size = _conv_dims.first * _conv_dims.second; + + execute_window_loop(window, [&](const Coordinates & id) + { + const int z = id.x() / patch_size; + const int index2D = id.x() - z * patch_size; + + auto input_ptr = reinterpret_cast(in.ptr()); + auto output_ptr = reinterpret_cast(out.ptr() + index2D % _conv_dims.first * output_stride_x + index2D / _conv_dims.first * output_stride_y + z * output_stride_z); + + *output_ptr = *input_ptr; + }, + in, out); +} diff --git a/src/core/NEON/kernels/NEDepthwiseWeightsReshapeKernel.cpp b/src/core/NEON/kernels/NEDepthwiseWeightsReshapeKernel.cpp new file mode 100644 index 0000000000..6585fdb8b8 --- /dev/null +++ b/src/core/NEON/kernels/NEDepthwiseWeightsReshapeKernel.cpp @@ -0,0 +1,112 @@ +/* + * 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/NEDepthwiseWeightsReshapeKernel.h" + +#include "arm_compute/core/AccessWindowTranspose.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/INEKernel.h" +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/TensorShape.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/Validate.h" +#include "arm_compute/core/Window.h" + +using namespace arm_compute; + +NEDepthwiseWeightsReshapeKernel::NEDepthwiseWeightsReshapeKernel() + : _input(nullptr), _output(nullptr), _biases(nullptr) +{ +} + +void NEDepthwiseWeightsReshapeKernel::configure(const ITensor *input, ITensor *output, const ITensor *biases) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); + ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input, output); + ARM_COMPUTE_ERROR_ON(input->info()->dimension(2) != output->info()->dimension(1)); + ARM_COMPUTE_ERROR_ON(output->info()->dimension(0) != (input->info()->dimension(0) * input->info()->dimension(1) + ((biases != nullptr) ? 1 : 0))); + + if(biases != nullptr) + { + ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, biases); + ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input, biases); + ARM_COMPUTE_ERROR_ON(biases->info()->dimension(0) != input->info()->dimension(2)); + ARM_COMPUTE_ERROR_ON(biases->info()->num_dimensions() > 1); + } + + _input = input; + _output = output; + _biases = biases; + + // Configure kernel window + Window win = calculate_max_window(*input->info(), Steps()); + // The NEDepthwiseWeightsReshapeKernel doesn't need padding so update_window_and_padding() can be skipped + output->info()->set_valid_region(ValidRegion(Coordinates(), output->info()->tensor_shape())); + + INEKernel::configure(win); +} + +void NEDepthwiseWeightsReshapeKernel::run(const Window &window, const ThreadInfo &info) +{ + ARM_COMPUTE_UNUSED(info); + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + + const int input_w = _input->info()->dimension(0); + const int output_stride_x = _output->info()->strides_in_bytes().x(); + const int output_stride_y = _output->info()->strides_in_bytes().y(); + + Window window_in(window); + // The first three dimensions of the input are increased by the inner loops + window_in.set(Window::DimX, Window::Dimension(0, _input->info()->dimension(0), _input->info()->dimension(0))); + window_in.set(Window::DimY, Window::Dimension(0, _input->info()->dimension(1), 1)); + window_in.set(Window::DimZ, Window::Dimension(0, _input->info()->dimension(2), 1)); + + // Setup output window + Window window_out; + window_out.set(Window::DimX, Window::Dimension(0, 0, 0)); + window_out.set(Window::DimY, Window::Dimension(0, 0, 0)); + + Iterator in(_input, window_in); + Iterator out(_output, window_out); + + execute_window_loop(window_in, [&](const Coordinates & id) + { + auto input_ptr = reinterpret_cast(in.ptr()); + auto output_ptr = reinterpret_cast(out.ptr() + id.y() * input_w * output_stride_x + id.z() * output_stride_y); + + for(int i = 0; i < input_w; ++i, ++input_ptr) + { + *(output_ptr + i) = *input_ptr; + } + + if(_biases != nullptr) + { + *(output_ptr + input_w) = *(reinterpret_cast(_biases->ptr_to_element(Coordinates(id.z())))); + } + }, + in, out); +} diff --git a/src/core/NEON/kernels/NEGEMMMatrixVectorMultiplyKernel.cpp b/src/core/NEON/kernels/NEGEMMMatrixVectorMultiplyKernel.cpp new file mode 100644 index 0000000000..c28dcf7463 --- /dev/null +++ b/src/core/NEON/kernels/NEGEMMMatrixVectorMultiplyKernel.cpp @@ -0,0 +1,131 @@ +/* + * 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/NEGEMMMatrixVectorMultiplyKernel.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/INEKernel.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/Validate.h" +#include "arm_compute/core/Window.h" + +#include +#include +#include +#include + +using namespace arm_compute; + +NEGEMMMatrixVectorMultiplyKernel::NEGEMMMatrixVectorMultiplyKernel() + : _input0(nullptr), _input1(nullptr), _output(nullptr) +{ +} + +void NEGEMMMatrixVectorMultiplyKernel::configure(const ITensor *input0, const ITensor *input1, ITensor *output) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input0, 1, DataType::F16, DataType::F32); + ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input0, input1, output); + ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input0, input1, output); + ARM_COMPUTE_ERROR_ON(input0->info()->dimension(2) != input1->info()->dimension(1)); + + _input0 = input0; + _input1 = input1; + _output = output; + + // Configure kernel window + const unsigned int num_elems_read_per_iteration = 4; + + Window win = calculate_max_window(*input0->info(), Steps(num_elems_read_per_iteration)); + + AccessWindowHorizontal input0_access(input0->info(), 0, num_elems_read_per_iteration); + AccessWindowHorizontal input1_access(input1->info(), 0, num_elems_read_per_iteration); + AccessWindowHorizontal output_access(output->info(), 0, 1); + + update_window_and_padding(win, input0_access, input1_access, output_access); + + _output->info()->set_valid_region(ValidRegion(Coordinates(), _output->info()->tensor_shape())); + + INEKernel::configure(win); +} + +void NEGEMMMatrixVectorMultiplyKernel::run(const Window &window, const ThreadInfo &info) +{ + ARM_COMPUTE_UNUSED(info); + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + + Window window_slice = window.first_slice_window_3D(); + + Window window_in(window); + Window window_weights(window_slice); + Window window_out(window); + + // Setup input0 slice + window_in.set(Window::DimX, Window::Dimension(0, _input0->info()->dimension(0), _input0->info()->dimension(0))); + window_in.set(Window::DimY, Window::Dimension(0, _input0->info()->dimension(1), 1)); + window_in.set(Window::DimZ, Window::Dimension(0, _input0->info()->dimension(2), 1)); + + // Setup input1 and output slice. Their dimensions are increased in the kernel. + window_weights.set(Window::DimX, Window::Dimension(0, 0, 0)); + window_weights.set(Window::DimY, Window::Dimension(0, 0, 0)); + window_weights.set(Window::DimZ, Window::Dimension(0, 0, 0)); + + window_out.set(Window::DimX, Window::Dimension(0, 0, 0)); + window_out.set(Window::DimY, Window::Dimension(0, 0, 0)); + window_out.set(Window::DimZ, Window::Dimension(0, 0, 0)); + + Iterator in(_input0, window_in); + Iterator in2(_input1, window_weights); + Iterator out(_output, window_out); + + const int input_w = _input0->info()->dimension(0); + const int input_h = _input0->info()->dimension(1); + const int input_stride_x = _input0->info()->strides_in_bytes().x(); + const int weights_stride_x = _input1->info()->strides_in_bytes().x(); + const int weights_stride_y = _input1->info()->strides_in_bytes().y(); + const int output_stride_x = _output->info()->strides_in_bytes().x(); + + execute_window_loop(window_in, [&](const Coordinates & id) + { + // Get pointers + const uint8_t *const input_ptr = in.ptr(); + const uint8_t *const weights_ptr = in2.ptr() + id.z() * weights_stride_y; + auto output_ptr = reinterpret_cast(out.ptr() + (id.y() + id.z() * input_h) * output_stride_x); + + float32x4_t row_dot = vdupq_n_f32(0.f); + for(int i = 0; i < input_w; i += 4) + { + const auto input = vld1q_f32(reinterpret_cast(input_ptr + i * input_stride_x)); + const auto weights = vld1q_f32(reinterpret_cast(weights_ptr + i * weights_stride_x)); + row_dot = vaddq_f32(row_dot, vmulq_f32(input, weights)); + } + + auto temp = vadd_f32(vget_high_f32(row_dot), vget_low_f32(row_dot)); + temp = vpadd_f32(temp, temp); + + *output_ptr = vget_lane_f32(temp, 0); + }, + in, in2, out); +} -- cgit v1.2.1