From d9769583c44d8ad79e7fcf662715b2460e96084b Mon Sep 17 00:00:00 2001 From: Georgios Pinitas Date: Thu, 3 Aug 2017 10:19:40 +0100 Subject: COMPMID-: Implement L2NormalizationLayer. Change-Id: I2223850b84826a87650729d287c57c22bcab7462 Reviewed-on: http://mpd-gerrit.cambridge.arm.com/82767 Tested-by: Kaizen Reviewed-by: Anthony Barbier --- .../NEON/kernels/NEReductionOperationKernel.cpp | 157 +++++++++++++++++++++ 1 file changed, 157 insertions(+) create mode 100644 src/core/NEON/kernels/NEReductionOperationKernel.cpp (limited to 'src/core/NEON/kernels/NEReductionOperationKernel.cpp') diff --git a/src/core/NEON/kernels/NEReductionOperationKernel.cpp b/src/core/NEON/kernels/NEReductionOperationKernel.cpp new file mode 100644 index 0000000000..5c8954609b --- /dev/null +++ b/src/core/NEON/kernels/NEReductionOperationKernel.cpp @@ -0,0 +1,157 @@ +/* + * 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/NEReductionOperationKernel.h" + +#include "arm_compute/core/Coordinates.h" +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/IAccessWindow.h" +#include "arm_compute/core/ITensor.h" +#include "arm_compute/core/NEON/INEKernel.h" +#include "arm_compute/core/NEON/NEMath.h" +#include "arm_compute/core/Validate.h" + +#include + +using namespace arm_compute; + +namespace +{ +template +class Reducer +{ +public: + static void reduceX(const Window &window, const ITensor *input, ITensor *output, F f) + { + // Set out window + Window out_window(window); + out_window.set(Window::DimX, Window::Dimension(0, 0, 0)); + + // Get first input and output slices + Window in_slice = window.first_slice_window_1D(); + Window out_slice = out_window.first_slice_window_1D(); + + do + { + Iterator in(input, in_slice); + Iterator out(output, out_slice); + + f(in, out, in_slice, out_slice); + } + while(window.slide_window_slice_1D(in_slice) && window.slide_window_slice_1D(out_slice)); + } +}; + +struct SumsqOpX +{ + inline void operator()(Iterator &input, Iterator &output, Window &in_slice, Window &out_slice) + { + ARM_COMPUTE_UNUSED(out_slice); + float32x4_t vec_sum_value = vdupq_n_f32(0.f); + + execute_window_loop(in_slice, [&](const Coordinates & id) + { + const auto in_ptr = reinterpret_cast(input.ptr()); + const float32x4_t vec_elements = vld1q_f32(in_ptr); + vec_sum_value = vaddq_f32(vmulq_f32(vec_elements, vec_elements), vec_sum_value); + }, + input); + + float32x2_t carry_addition = vpadd_f32(vget_high_f32(vec_sum_value), vget_low_f32(vec_sum_value)); + carry_addition = vpadd_f32(carry_addition, carry_addition); + + *(reinterpret_cast(output.ptr())) = vget_lane_f32(carry_addition, 0); + } +}; + +void reduce_sumsq(const Window &window, const ITensor *input, ITensor *output, unsigned int axis) +{ + switch(axis) + { + case 0: + return Reducer::reduceX(window, input, output, SumsqOpX()); + default: + ARM_COMPUTE_ERROR("Unsupported reduction axis"); + } +} +} // namespace + +NEReductionOperationKernel::NEReductionOperationKernel() + : _input(nullptr), _output(nullptr), _reduction_axis(0), _op(ReductionOperation::SUM_SQUARE), _border_size() +{ +} + +BorderSize NEReductionOperationKernel::border_size() const +{ + return _border_size; +} + +void NEReductionOperationKernel::configure(const ITensor *input, ITensor *output, unsigned int axis, ReductionOperation op) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); + ARM_COMPUTE_ERROR_ON_MSG(axis >= TensorShape::num_max_dimensions, "Reduction axis greater than max number of dimensions"); + ARM_COMPUTE_ERROR_ON_MSG(axis > 0, "Unsupported reduction axis, Supported axis is 0"); + + // Calculate output shape and set if empty + TensorShape output_shape{ input->info()->tensor_shape() }; + output_shape.set(axis, 1); + + // Output auto initialization if not yet initialized + auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type(), input->info()->fixed_point_position()); + + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32); + ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); + ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(output->info()->tensor_shape(), output_shape); + + unsigned int num_elems_processed_per_iteration = 16 / data_size_from_type(input->info()->data_type()); + + _input = input; + _output = output; + _border_size = (axis == 0) ? BorderSize(0, num_elems_processed_per_iteration - (input->info()->dimension(0) % num_elems_processed_per_iteration), 0, 0) : BorderSize(); + _op = op; + + // Configure kernel window + Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration)); + AccessWindowHorizontal input_access(input->info(), 0, num_elems_processed_per_iteration); + AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration); + + update_window_and_padding(win, input_access, output_access); + output_access.set_valid_region(win, ValidRegion(Coordinates(), output->info()->tensor_shape())); + + INEKernel::configure(win); +} + +void NEReductionOperationKernel::run(const Window &window) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); + + switch(_op) + { + case ReductionOperation::SUM_SQUARE: + reduce_sumsq(window, _input, _output, _reduction_axis); + break; + default: + ARM_COMPUTE_ERROR("Unsupported reduction operation."); + } +} -- cgit v1.2.1