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/core/NEON/kernels/NEMeanStdDevKernel.cpp | 152 +++++++++++++++++++++++++++ 1 file changed, 152 insertions(+) create mode 100644 src/core/NEON/kernels/NEMeanStdDevKernel.cpp (limited to 'src/core/NEON/kernels/NEMeanStdDevKernel.cpp') diff --git a/src/core/NEON/kernels/NEMeanStdDevKernel.cpp b/src/core/NEON/kernels/NEMeanStdDevKernel.cpp new file mode 100644 index 0000000000..4616203d66 --- /dev/null +++ b/src/core/NEON/kernels/NEMeanStdDevKernel.cpp @@ -0,0 +1,152 @@ +/* + * 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/NEMeanStdDevKernel.h" + +#include "arm_compute/core/Error.h" +#include "arm_compute/core/Helpers.h" +#include "arm_compute/core/IAccessWindow.h" +#include "arm_compute/core/TensorInfo.h" +#include "arm_compute/core/Types.h" +#include "arm_compute/core/Validate.h" + +#include +#include +#include +#include + +using namespace arm_compute; + +namespace arm_compute +{ +class Coordinates; +} // namespace arm_compute + +namespace +{ +template +std::pair accumulate(const Window &window, Iterator &iterator) +{ + uint64x1_t sum = vdup_n_u64(0); + uint64x1_t sum_squared = vdup_n_u64(0); + + // Calculate sum + execute_window_loop(window, [&](const Coordinates & id) + { + const uint8x16_t in_data = vld1q_u8(iterator.ptr()); + + // Sum of the low and high elements of data + const uint16x8_t tmp0 = vaddl_u8(vget_low_u8(in_data), vget_high_u8(in_data)); + const uint32x4_t tmp1 = vaddl_u16(vget_low_u16(tmp0), vget_high_u16(tmp0)); + const uint32x2_t tmp2 = vadd_u32(vget_low_u32(tmp1), vget_high_u32(tmp1)); + + // Update sum + sum = vpadal_u32(sum, tmp2); + + if(calc_sum_squared) + { + const uint16x8_t square_data_low = vmull_u8(vget_low_u8(in_data), vget_low_u8(in_data)); + const uint16x8_t square_data_high = vmull_u8(vget_high_u8(in_data), vget_high_u8(in_data)); + + // Sum of the low and high elements of data + const uint32x4_t tmp0_low = vaddl_u16(vget_low_u16(square_data_low), vget_high_u16(square_data_low)); + const uint32x4_t tmp0_high = vaddl_u16(vget_low_u16(square_data_high), vget_high_u16(square_data_high)); + const uint32x4_t tmp1 = vaddq_u32(tmp0_low, tmp0_high); + const uint32x2_t tmp2 = vadd_u32(vget_low_u32(tmp1), vget_high_u32(tmp1)); + + // Update sum + sum_squared = vpadal_u32(sum_squared, tmp2); + } + }, + iterator); + + return std::make_pair(sum, sum_squared); +} +} // namespace + +NEMeanStdDevKernel::NEMeanStdDevKernel() + : _input(nullptr), _mean(nullptr), _stddev(nullptr), _global_sum(nullptr), _global_sum_squared(nullptr), _mtx() +{ +} + +void NEMeanStdDevKernel::configure(const IImage *input, float *mean, uint64_t *global_sum, float *stddev, uint64_t *global_sum_squared) +{ + ARM_COMPUTE_ERROR_ON_TENSOR_NOT_2D(input); + ARM_COMPUTE_ERROR_ON(nullptr == mean); + ARM_COMPUTE_ERROR_ON(nullptr == global_sum); + ARM_COMPUTE_ERROR_ON(stddev && nullptr == global_sum_squared); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8); + + _input = input; + _mean = mean; + _stddev = stddev; + _global_sum = global_sum; + _global_sum_squared = global_sum_squared; + + constexpr unsigned int num_elems_processed_per_iteration = 16; + + // Configure kernel window + Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration)); + + update_window_and_padding(win, AccessWindowHorizontal(input->info(), 0, num_elems_processed_per_iteration)); + + INEKernel::configure(win); +} + +void NEMeanStdDevKernel::run(const Window &window) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); + Iterator input(_input, window); + + uint64x1_t local_sum = vdup_n_u64(0); + uint64x1_t local_sum_squared = vdup_n_u64(0); + + if(_stddev != nullptr) + { + std::tie(local_sum, local_sum_squared) = accumulate(window, input); + } + else + { + std::tie(local_sum, local_sum_squared) = accumulate(window, input); + } + + const float num_pixels = _input->info()->dimension(0) * _input->info()->dimension(1); + + // Merge sum and calculate mean and stddev + std::unique_lock lock(_mtx); + + *_global_sum += vget_lane_u64(local_sum, 0); + + const float mean = *_global_sum / num_pixels; + *_mean = mean; + + if(_stddev != nullptr) + { + const uint64_t tmp_sum_squared = vget_lane_u64(local_sum_squared, 0); + *_global_sum_squared += tmp_sum_squared; + *_stddev = std::sqrt((*_global_sum_squared / num_pixels) - (mean * mean)); + } + + lock.unlock(); +} -- cgit v1.2.1