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/*
* 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/NEGaussian5x5Kernel.h"
#include "arm_compute/core/Coordinates.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/NEON/INEKernel.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>
using namespace arm_compute;
NEGaussian5x5HorKernel::NEGaussian5x5HorKernel()
: _border_size(0)
{
}
BorderSize NEGaussian5x5HorKernel::border_size() const
{
return _border_size;
}
void NEGaussian5x5HorKernel::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);
_input = input;
_output = output;
_border_size = BorderSize(border_undefined ? 0 : 2, 2);
// Configure kernel window
constexpr unsigned int num_elems_processed_per_iteration = 8;
constexpr unsigned int num_elems_read_per_iteration = 16;
constexpr unsigned int num_elems_written_per_iteration = 8;
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);
update_window_and_padding(win,
AccessWindowHorizontal(input->info(), -border_size().left, num_elems_read_per_iteration),
output_access);
output_access.set_valid_region(win, input->info()->valid_region(), border_undefined, border_size());
INEKernel::configure(win);
}
void NEGaussian5x5HorKernel::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);
Window win_in(window);
win_in.shift(Window::DimX, -2);
Iterator input(_input, win_in);
Iterator output(_output, window);
static const int16x8_t six = vdupq_n_s16(6);
static const int16x8_t four = vdupq_n_s16(4);
execute_window_loop(window, [&](const Coordinates &)
{
uint8x16_t data = vld1q_u8(input.ptr());
const int16x8x2_t data_s16 =
{
{
vreinterpretq_s16_u16(vmovl_u8(vget_low_u8(data))),
vreinterpretq_s16_u16(vmovl_u8(vget_high_u8(data)))
}
};
int16x8_t out = vaddq_s16(data_s16.val[0], vextq_s16(data_s16.val[0], data_s16.val[1], 4));
out = vmlaq_s16(out, vextq_s16(data_s16.val[0], data_s16.val[1], 1), four);
out = vmlaq_s16(out, vextq_s16(data_s16.val[0], data_s16.val[1], 2), six);
out = vmlaq_s16(out, vextq_s16(data_s16.val[0], data_s16.val[1], 3), four);
vst1q_s16(reinterpret_cast<int16_t *>(output.ptr()), out);
},
input, output);
}
BorderSize NEGaussian5x5VertKernel::border_size() const
{
return BorderSize{ 2, 0 };
}
void NEGaussian5x5VertKernel::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);
_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 = 16;
constexpr unsigned int num_rows_read_per_iteration = 5;
Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration), border_undefined, border_size());
AccessWindowHorizontal output_access(output->info(), 0, num_elems_written_per_iteration);
update_window_and_padding(win,
AccessWindowRectangle(input->info(), 0, -border_size().top, num_elems_read_per_iteration, num_rows_read_per_iteration),
output_access);
output_access.set_valid_region(win, input->info()->valid_region(), border_undefined, border_size());
INEKernel::configure(win);
}
void NEGaussian5x5VertKernel::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 uint8_t *input_top2_ptr = _input->ptr_to_element(Coordinates(0, -2));
const uint8_t *input_top_ptr = _input->ptr_to_element(Coordinates(0, -1));
const uint8_t *input_mid_ptr = _input->ptr_to_element(Coordinates(0, 0));
const uint8_t *input_low_ptr = _input->ptr_to_element(Coordinates(0, 1));
const uint8_t *input_low2_ptr = _input->ptr_to_element(Coordinates(0, 2));
const uint16x8_t six = vdupq_n_u16(6);
const uint16x8_t four = vdupq_n_u16(4);
execute_window_loop(window, [&](const Coordinates &)
{
const size_t input_offset_high_s16 = input.offset();
const size_t input_offset_low_s16 = input.offset() + 16;
//HIGH DATA
//top2
uint16x8_t data_high = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_top2_ptr + input_offset_high_s16)));
uint16x8_t out_high = data_high;
//top
data_high = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_top_ptr + input_offset_high_s16)));
out_high = vmlaq_u16(out_high, data_high, four);
//mid
data_high = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_mid_ptr + input_offset_high_s16)));
out_high = vmlaq_u16(out_high, data_high, six);
//low
data_high = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_low_ptr + input_offset_high_s16)));
out_high = vmlaq_u16(out_high, data_high, four);
//low2
data_high = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_low2_ptr + input_offset_high_s16)));
out_high = vaddq_u16(out_high, data_high);
//LOW DATA
//top2
uint16x8_t data_low = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_top2_ptr + input_offset_low_s16)));
uint16x8_t out_low = data_low;
//top
data_low = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_top_ptr + input_offset_low_s16)));
out_low = vmlaq_u16(out_low, data_low, four);
//mid
data_low = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_mid_ptr + input_offset_low_s16)));
out_low = vmlaq_u16(out_low, data_low, six);
//low
data_low = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_low_ptr + input_offset_low_s16)));
out_low = vmlaq_u16(out_low, data_low, four);
//low2
data_low = vreinterpretq_u16_s16(vld1q_s16(reinterpret_cast<const int16_t *>(input_low2_ptr + input_offset_low_s16)));
out_low = vaddq_u16(out_low, data_low);
vst1q_u8(output.ptr(), vcombine_u8(vqshrn_n_u16(out_high, 8),
vqshrn_n_u16(out_low, 8)));
},
input, output);
}
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