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/NEGaussianPyramidKernel.cpp | 279 ++++++++++++++++++++++ 1 file changed, 279 insertions(+) create mode 100644 src/core/NEON/kernels/NEGaussianPyramidKernel.cpp (limited to 'src/core/NEON/kernels/NEGaussianPyramidKernel.cpp') diff --git a/src/core/NEON/kernels/NEGaussianPyramidKernel.cpp b/src/core/NEON/kernels/NEGaussianPyramidKernel.cpp new file mode 100644 index 0000000000..52d1fbf028 --- /dev/null +++ b/src/core/NEON/kernels/NEGaussianPyramidKernel.cpp @@ -0,0 +1,279 @@ +/* + * 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/NEGaussianPyramidKernel.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/Types.h" +#include "arm_compute/core/Validate.h" +#include "arm_compute/core/Window.h" + +#include +#include +#include +#include + +using namespace arm_compute; + +NEGaussianPyramidHorKernel::NEGaussianPyramidHorKernel() + : _border_size(0), _l2_load_offset(0) +{ +} + +BorderSize NEGaussianPyramidHorKernel::border_size() const +{ + return _border_size; +} + +void NEGaussianPyramidHorKernel::configure(const ITensor *input, ITensor *output, bool border_undefined) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::S16); + ARM_COMPUTE_ERROR_ON(input->info()->dimension(0) != 2 * output->info()->dimension(0)); + ARM_COMPUTE_ERROR_ON(input->info()->dimension(1) != output->info()->dimension(1)); + + for(size_t i = 2; i < Coordinates::num_max_dimensions; ++i) + { + ARM_COMPUTE_ERROR_ON(input->info()->dimension(i) != output->info()->dimension(i)); + } + + _input = input; + _output = output; + _border_size = BorderSize(border_undefined ? 0 : 2, 2); + + // Configure kernel window + constexpr unsigned int num_elems_processed_per_iteration = 16; + constexpr unsigned int num_elems_read_per_iteration = 32; + constexpr unsigned int num_elems_written_per_iteration = 8; + constexpr float scale_x = 0.5f; + + Window win = calculate_max_window_horizontal(*input->info(), Steps(num_elems_processed_per_iteration), border_undefined, border_size()); + AccessWindowHorizontal output_access(output->info(), 0, num_elems_written_per_iteration, scale_x); + + // Sub sampling selects odd pixels (1, 3, 5, ...) for images with even + // width and even pixels (0, 2, 4, ...) for images with odd width. (Whether + // a pixel is even or odd is determined based on the tensor shape not the + // valid region!) + // Thus the offset from which the first pixel (L2) for the convolution is + // loaded depends on the anchor and shape of the valid region. + // In the case of an even shape (= even image width) we need to load L2 + // from -2 if the anchor is odd and from -1 if the anchor is even. That + // makes sure that L2 is always loaded from an odd pixel. + // On the other hand, for an odd shape (= odd image width) we need to load + // L2 from -1 if the anchor is odd and from -2 if the anchor is even to + // achieve the opposite effect. + // The condition can be simplified to checking whether anchor + shape is + // odd (-2) or even (-1) as only adding an odd and an even number will have + // an odd result. + _l2_load_offset = -border_size().left; + + if((_input->info()->valid_region().anchor[0] + _input->info()->valid_region().shape[0]) % 2 == 0) + { + _l2_load_offset += 1; + } + + update_window_and_padding(win, + AccessWindowHorizontal(input->info(), _l2_load_offset, num_elems_read_per_iteration), + output_access); + + ValidRegion valid_region = input->info()->valid_region(); + valid_region.anchor.set(0, std::ceil((valid_region.anchor[0] + (border_undefined ? border_size().left : 0)) / 2.f)); + valid_region.shape.set(0, (valid_region.shape[0] - (border_undefined ? border_size().right : 0)) / 2 - valid_region.anchor[0]); + + output_access.set_valid_region(win, valid_region); + + INEKernel::configure(win); +} + +void NEGaussianPyramidHorKernel::run(const Window &window) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); + ARM_COMPUTE_ERROR_ON(window.x().step() % 2); + + static const int16x8_t six = vdupq_n_s16(6); + static const int16x8_t four = vdupq_n_s16(4); + + Window win_in(window); + win_in.shift(Window::DimX, _l2_load_offset); + + Iterator in(_input, win_in); + + // The output is half the width of the input + Window win_out(window); + win_out.scale(Window::DimX, 0.5f); + + Iterator out(_output, win_out); + + execute_window_loop(window, [&](const Coordinates & id) + { + const uint8x16x2_t data_2q = vld2q_u8(in.ptr()); + const uint8x16_t &data_even = data_2q.val[0]; + const uint8x16_t &data_odd = data_2q.val[1]; + + const int16x8_t data_l2 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(data_even))); + const int16x8_t data_l1 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(data_odd))); + const int16x8_t data_m = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(vextq_u8(data_even, data_even, 1)))); + const int16x8_t data_r1 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(vextq_u8(data_odd, data_odd, 1)))); + const int16x8_t data_r2 = vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(vextq_u8(data_even, data_even, 2)))); + + int16x8_t out_val = vaddq_s16(data_l2, data_r2); + out_val = vmlaq_s16(out_val, data_l1, four); + out_val = vmlaq_s16(out_val, data_m, six); + out_val = vmlaq_s16(out_val, data_r1, four); + + vst1q_s16(reinterpret_cast(out.ptr()), out_val); + }, + in, out); +} + +NEGaussianPyramidVertKernel::NEGaussianPyramidVertKernel() + : _t2_load_offset(0) +{ +} + +BorderSize NEGaussianPyramidVertKernel::border_size() const +{ + return BorderSize(2, 0); +} + +void NEGaussianPyramidVertKernel::configure(const ITensor *input, ITensor *output, bool border_undefined) +{ + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::S16); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8); + + ARM_COMPUTE_ERROR_ON(input->info()->dimension(0) != output->info()->dimension(0)); + ARM_COMPUTE_ERROR_ON(input->info()->dimension(1) != 2 * output->info()->dimension(1)); + + for(size_t i = 2; i < Coordinates::num_max_dimensions; ++i) + { + ARM_COMPUTE_ERROR_ON(input->info()->dimension(i) != output->info()->dimension(i)); + } + + _input = input; + _output = output; + + // Configure kernel window + constexpr unsigned int num_elems_processed_per_iteration = 16; + constexpr unsigned int num_rows_processed_per_iteration = 2; + + constexpr unsigned int num_elems_written_per_iteration = 16; + constexpr unsigned int num_rows_written_per_iteration = 1; + + constexpr unsigned int num_elems_read_per_iteration = 16; + constexpr unsigned int num_rows_read_per_iteration = 5; + + constexpr float scale_y = 0.5f; + + Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration, num_rows_processed_per_iteration), border_undefined, border_size()); + AccessWindowRectangle output_access(output->info(), 0, 0, num_elems_written_per_iteration, num_rows_written_per_iteration, 1.f, scale_y); + + // Determine whether we need to load even or odd rows. See above for a + // detailed explanation. + _t2_load_offset = -border_size().top; + + if((_input->info()->valid_region().anchor[1] + _input->info()->valid_region().shape[1]) % 2 == 0) + { + _t2_load_offset += 1; + } + + update_window_and_padding(win, + AccessWindowRectangle(input->info(), 0, _t2_load_offset, num_elems_read_per_iteration, num_rows_read_per_iteration), + output_access); + + ValidRegion valid_region = input->info()->valid_region(); + valid_region.anchor.set(1, std::ceil((valid_region.anchor[1] + (border_undefined ? border_size().top : 0)) / 2.f)); + valid_region.shape.set(1, (valid_region.shape[1] - (border_undefined ? border_size().bottom : 0)) / 2 - valid_region.anchor[1]); + + output_access.set_valid_region(win, valid_region); + + INEKernel::configure(win); +} + +void NEGaussianPyramidVertKernel::run(const Window &window) +{ + ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); + ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); + ARM_COMPUTE_ERROR_ON(window.x().step() != 16); + ARM_COMPUTE_ERROR_ON(window.y().step() % 2); + ARM_COMPUTE_ERROR_ON(_input->buffer() == nullptr); + + static const uint16x8_t six = vdupq_n_u16(6); + static const uint16x8_t four = vdupq_n_u16(4); + + Window win_in(window); + // Need to load two times 8 values instead of 16 values once + win_in.set_dimension_step(Window::DimX, 8); + win_in.shift(Window::DimY, _t2_load_offset); + + Iterator in(_input, win_in); + + // Output's height is half of input's + Window win_out(window); + win_out.scale(Window::DimY, 0.5f); + + Iterator out(_output, win_out); + + const uint8_t *input_top2_ptr = _input->buffer() + _input->info()->offset_element_in_bytes(Coordinates(0, 0)); + const uint8_t *input_top_ptr = _input->buffer() + _input->info()->offset_element_in_bytes(Coordinates(0, 1)); + const uint8_t *input_mid_ptr = _input->buffer() + _input->info()->offset_element_in_bytes(Coordinates(0, 2)); + const uint8_t *input_low_ptr = _input->buffer() + _input->info()->offset_element_in_bytes(Coordinates(0, 3)); + const uint8_t *input_low2_ptr = _input->buffer() + _input->info()->offset_element_in_bytes(Coordinates(0, 4)); + + execute_window_loop(window, [&](const Coordinates & id) + { + // Low data + const uint16x8_t data_low_t2 = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast(input_top2_ptr + in.offset()))); + const uint16x8_t data_low_t1 = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast(input_top_ptr + in.offset()))); + const uint16x8_t data_low_m = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast(input_mid_ptr + in.offset()))); + const uint16x8_t data_low_b1 = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast(input_low_ptr + in.offset()))); + const uint16x8_t data_low_b2 = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast(input_low2_ptr + in.offset()))); + + uint16x8_t out_low = vaddq_u16(data_low_t2, data_low_b2); + out_low = vmlaq_u16(out_low, data_low_t1, four); + out_low = vmlaq_u16(out_low, data_low_m, six); + out_low = vmlaq_u16(out_low, data_low_b1, four); + + in.increment(Window::DimX); + + // High data + const uint16x8_t data_high_t2 = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast(input_top2_ptr + in.offset()))); + const uint16x8_t data_high_t1 = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast(input_top_ptr + in.offset()))); + const uint16x8_t data_high_m = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast(input_mid_ptr + in.offset()))); + const uint16x8_t data_high_b1 = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast(input_low_ptr + in.offset()))); + const uint16x8_t data_high_b2 = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast(input_low2_ptr + in.offset()))); + + uint16x8_t out_high = vaddq_u16(data_high_t2, data_high_b2); + out_high = vmlaq_u16(out_high, data_high_t1, four); + out_high = vmlaq_u16(out_high, data_high_m, six); + out_high = vmlaq_u16(out_high, data_high_b1, four); + + vst1q_u8(out.ptr(), vcombine_u8(vqshrn_n_u16(out_low, 8), vqshrn_n_u16(out_high, 8))); + }, + in, out); +} -- cgit v1.2.1