| /* |
| * Copyright (c) 2016-2019 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/NEIntegralImageKernel.h" |
| |
| #include "arm_compute/core/Coordinates.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/core/Validate.h" |
| |
| #include <arm_neon.h> |
| #include <cstddef> |
| #include <cstdint> |
| |
| using namespace arm_compute; |
| |
| void NEIntegralImageKernel::configure(const ITensor *input, ITensor *output) |
| { |
| 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::U32); |
| |
| _input = input; |
| _output = output; |
| |
| 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)); |
| // The kernel is effectively reading 17 values from -1 as it loads 16 |
| // starting at -1 and also 16 starting at 0 |
| AccessWindowRectangle output_read_access(output->info(), -1, -1, num_elems_processed_per_iteration + 1, 1); |
| AccessWindowHorizontal output_write_access(output->info(), 0, num_elems_processed_per_iteration); |
| |
| update_window_and_padding(win, |
| AccessWindowHorizontal(input->info(), 0, num_elems_processed_per_iteration), |
| output_read_access, output_write_access); |
| |
| output_write_access.set_valid_region(win, input->info()->valid_region()); |
| |
| IKernel::configure(win); |
| } |
| |
| BorderSize NEIntegralImageKernel::border_size() const |
| { |
| return BorderSize{ 1, 0, 0, 1 }; |
| } |
| |
| bool NEIntegralImageKernel::is_parallelisable() const |
| { |
| return false; |
| } |
| |
| void NEIntegralImageKernel::run(const Window &window, const ThreadInfo &info) |
| { |
| ARM_COMPUTE_UNUSED(info); |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INESimpleKernel::window(), window); |
| |
| Iterator input(_input, window); |
| Iterator output(_output, window); |
| |
| const auto output_top_left = reinterpret_cast<const uint32_t *>(_output->ptr_to_element(Coordinates(-1, -1))); |
| const auto output_top_mid = reinterpret_cast<const uint32_t *>(_output->ptr_to_element(Coordinates(0, -1))); |
| |
| execute_window_loop(window, [&](const Coordinates &) |
| { |
| const uint8x16_t input_pixels = vld1q_u8(input.ptr()); |
| |
| const uint16x8x2_t tmp = |
| { |
| { |
| vmovl_u8(vget_low_u8(input_pixels)), |
| vmovl_u8(vget_high_u8(input_pixels)) |
| } |
| }; |
| |
| uint32x4x4_t pixels = |
| { |
| { |
| vmovl_u16(vget_low_u16(tmp.val[0])), |
| vmovl_u16(vget_high_u16(tmp.val[0])), |
| vmovl_u16(vget_low_u16(tmp.val[1])), |
| vmovl_u16(vget_high_u16(tmp.val[1])) |
| } |
| }; |
| |
| // Divide by four as pointer is now uint32 instead of uint8! |
| const size_t off = output.offset() / 4; |
| |
| // Add top mid pixel values |
| const uint32_t *const top_mid_ptr = output_top_mid + off; |
| |
| pixels.val[0] = vaddq_u32(vld1q_u32(top_mid_ptr), pixels.val[0]); |
| pixels.val[1] = vaddq_u32(vld1q_u32(top_mid_ptr + 4), pixels.val[1]); |
| pixels.val[2] = vaddq_u32(vld1q_u32(top_mid_ptr + 8), pixels.val[2]); |
| pixels.val[3] = vaddq_u32(vld1q_u32(top_mid_ptr + 12), pixels.val[3]); |
| |
| // Subtract top left diagonal values |
| const auto outptr = reinterpret_cast<uint32_t *>(output.ptr()); |
| const uint32_t *const top_left_ptr = output_top_left + off; |
| |
| pixels.val[0] = vsubq_u32(pixels.val[0], vld1q_u32(top_left_ptr)); |
| vst1q_u32(outptr, pixels.val[0]); |
| |
| pixels.val[1] = vsubq_u32(pixels.val[1], vld1q_u32(top_left_ptr + 4)); |
| vst1q_u32(outptr + 4, pixels.val[1]); |
| |
| pixels.val[2] = vsubq_u32(pixels.val[2], vld1q_u32(top_left_ptr + 8)); |
| vst1q_u32(outptr + 8, pixels.val[2]); |
| |
| pixels.val[3] = vsubq_u32(pixels.val[3], vld1q_u32(top_left_ptr + 12)); |
| vst1q_u32(outptr + 12, pixels.val[3]); |
| |
| // Perform prefix summation |
| for(auto i = 0; i < 16; ++i) |
| { |
| outptr[i] += outptr[i - 1]; |
| } |
| }, |
| input, output); |
| } |