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Diffstat (limited to 'src/core/NEON/kernels/NEGaussianPyramidKernel.cpp')
| -rw-r--r-- | src/core/NEON/kernels/NEGaussianPyramidKernel.cpp | 270 |
1 files changed, 0 insertions, 270 deletions
diff --git a/src/core/NEON/kernels/NEGaussianPyramidKernel.cpp b/src/core/NEON/kernels/NEGaussianPyramidKernel.cpp deleted file mode 100644 index 13cee19f5c..0000000000 --- a/src/core/NEON/kernels/NEGaussianPyramidKernel.cpp +++ /dev/null @@ -1,270 +0,0 @@ -/* - * 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/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 <arm_neon.h> -#include <cstddef> -#include <cstdint> -#include <tuple> - -using namespace arm_compute; - -NEGaussianPyramidHorKernel::NEGaussianPyramidHorKernel() - : _l2_load_offset(0) -{ -} - -BorderSize NEGaussianPyramidHorKernel::border_size() const -{ - return BorderSize{ 0, 2 }; -} - -void NEGaussianPyramidHorKernel::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::S16); - 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; - - // 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; - const float scale_x = static_cast<float>(output->info()->dimension(0)) / input->info()->dimension(0); - - Window win = calculate_max_window_horizontal(*input->info(), Steps(num_elems_processed_per_iteration)); - 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; - } - - // Replace input access with static window - update_window_and_padding(win, - AccessWindowHorizontal(input->info(), _l2_load_offset, num_elems_read_per_iteration), - output_access); - - output->info()->set_valid_region(ValidRegion(Coordinates(), output->info()->tensor_shape())); - - INEKernel::configure(win); -} - -void NEGaussianPyramidHorKernel::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); - 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 &) - { - 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<int16_t *>(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) -{ - 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)); - - 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; - - const float scale_y = static_cast<float>(output->info()->dimension(1)) / input->info()->dimension(1); - - Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration, num_rows_processed_per_iteration)); - 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); - - output->info()->set_valid_region(ValidRegion(Coordinates(), output->info()->tensor_shape())); - - INEKernel::configure(win); -} - -void NEGaussianPyramidVertKernel::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); - 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 &) - { - // Low data - const uint16x8_t data_low_t2 = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_top2_ptr + in.offset()))); - const uint16x8_t data_low_t1 = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_top_ptr + in.offset()))); - const uint16x8_t data_low_m = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_mid_ptr + in.offset()))); - const uint16x8_t data_low_b1 = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_low_ptr + in.offset()))); - const uint16x8_t data_low_b2 = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(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<const int16_t *>(input_top2_ptr + in.offset()))); - const uint16x8_t data_high_t1 = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_top_ptr + in.offset()))); - const uint16x8_t data_high_m = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_mid_ptr + in.offset()))); - const uint16x8_t data_high_b1 = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_low_ptr + in.offset()))); - const uint16x8_t data_high_b2 = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(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); -} |