From 04a8f8c4994f1c32b3f16a832c0e6f2599364c02 Mon Sep 17 00:00:00 2001 From: Giorgio Arena Date: Thu, 23 Nov 2017 11:45:24 +0000 Subject: COMPMID-692 Consistent names for the interfaces Change-Id: I4b1f3f0da9ff5342c7de7083736fe91871d14e5b Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/110351 Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com Reviewed-by: Georgios Pinitas Reviewed-by: Anthony Barbier --- src/core/NEON/kernels/NEL2NormalizeLayerKernel.cpp | 126 +++++++++++++++++++++ 1 file changed, 126 insertions(+) create mode 100644 src/core/NEON/kernels/NEL2NormalizeLayerKernel.cpp (limited to 'src/core/NEON/kernels/NEL2NormalizeLayerKernel.cpp') diff --git a/src/core/NEON/kernels/NEL2NormalizeLayerKernel.cpp b/src/core/NEON/kernels/NEL2NormalizeLayerKernel.cpp new file mode 100644 index 0000000000..3bf1d9400e --- /dev/null +++ b/src/core/NEON/kernels/NEL2NormalizeLayerKernel.cpp @@ -0,0 +1,126 @@ +/* + * 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/NEL2NormalizeLayerKernel.h" + +#include "arm_compute/core/Error.h" +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/ITensor.h" +#include "arm_compute/core/NEON/NEMath.h" +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/Utils.h" +#include "arm_compute/core/Validate.h" +#include "arm_compute/core/Window.h" + +#include +#include + +using namespace arm_compute; + +namespace +{ +void l2_normalize_X(const ITensor *in, const ITensor *sum, ITensor *out, float epsilon, const Window &window) +{ + Window window_sum(window); + window_sum.set(Window::DimX, Window::Dimension(0, 0, 0)); + + Window in_slice = window.first_slice_window_1D(); + Window sum_slice = window_sum.first_slice_window_1D(); + + do + { + Iterator input_it(in, in_slice); + Iterator sum_it(sum, sum_slice); + Iterator output_it(out, in_slice); + + const float sum_value = *reinterpret_cast(sum_it.ptr()); + const float32x4_t vec_normalize_value = vdupq_n_f32(1.f / std::sqrt(std::max(sum_value, epsilon))); + + execute_window_loop(in_slice, [&](const Coordinates & id) + { + const auto in_ptr = reinterpret_cast(input_it.ptr()); + const auto out_ptr = reinterpret_cast(output_it.ptr()); + + vst1q_f32(out_ptr, vmulq_f32(vld1q_f32(in_ptr), vec_normalize_value)); + }, + input_it, output_it); + } + while(window.slide_window_slice_1D(in_slice) && window.slide_window_slice_1D(sum_slice)); +} +} // namespace + +NEL2NormalizeLayerKernel::NEL2NormalizeLayerKernel() + : _input(nullptr), _sum(nullptr), _output(nullptr), _axis(0), _epsilon(1e-12) +{ +} + +void NEL2NormalizeLayerKernel::configure(const ITensor *input, const ITensor *sum, ITensor *output, unsigned int axis, float epsilon) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(input, sum, output); + ARM_COMPUTE_ERROR_ON_MSG(axis >= TensorShape::num_max_dimensions, "Normalization axis greater than max number of dimensions"); + ARM_COMPUTE_ERROR_ON_MSG(axis > 0, "Unsupported normalization axis, Supported axis is 0"); + + // Output auto initialization if not yet initialized + auto_init_if_empty(*output->info(), input->info()->tensor_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, sum); + ARM_COMPUTE_ERROR_ON_MISMATCHING_SHAPES(input, output); + + unsigned int num_elems_processed_per_iteration = 16 / data_size_from_type(input->info()->data_type()); + unsigned int num_elems_processed_per_iteration_sum = (axis == 0) ? 1 : num_elems_processed_per_iteration; + + _input = input; + _sum = sum; + _output = output; + _axis = axis; + _epsilon = epsilon; + + // 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 sum_access(sum->info(), 0, num_elems_processed_per_iteration_sum); + AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration); + + update_window_and_padding(win, input_access, sum_access, output_access); + + output_access.set_valid_region(win, input->info()->valid_region()); + + INEKernel::configure(win); +} + +void NEL2NormalizeLayerKernel::run(const Window &window, const ThreadInfo &info) +{ + ARM_COMPUTE_UNUSED(info); + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); + + switch(_axis) + { + case 0: + l2_normalize_X(_input, _sum, _output, _epsilon, window); + break; + default: + ARM_COMPUTE_ERROR("Unsupported normalization axis"); + } +} -- cgit v1.2.1