mirror of
https://github.com/opencv/opencv.git
synced 2025-01-08 03:57:58 +08:00
468 lines
21 KiB
C++
468 lines
21 KiB
C++
// This file is part of OpenCV project.
|
|
// It is subject to the license terms in the LICENSE file found in the top-level directory
|
|
// of this distribution and at http://opencv.org/license.html.
|
|
//
|
|
// Copyright (C) 2019-2020, Intel Corporation, all rights reserved.
|
|
|
|
#include "opencv2/core/hal/intrin.hpp"
|
|
|
|
namespace cv { namespace hal {
|
|
CV_CPU_OPTIMIZATION_NAMESPACE_BEGIN
|
|
|
|
namespace { // Anonymous namespace to avoid exposing the implementation classes
|
|
|
|
//
|
|
// NOTE: Look at the bottom of the file for the entry-point function for external callers
|
|
//
|
|
|
|
template<size_t num_channels> class IntegralCalculator;
|
|
|
|
template<size_t num_channels>
|
|
class IntegralCalculator {
|
|
public:
|
|
IntegralCalculator() {};
|
|
|
|
|
|
void calculate_integral_avx512(const uchar *src, size_t _srcstep,
|
|
double *sum, size_t _sumstep,
|
|
double *sqsum, size_t _sqsumstep,
|
|
int width, int height)
|
|
{
|
|
const int srcstep = (int)(_srcstep/sizeof(uchar));
|
|
const int sumstep = (int)(_sumstep/sizeof(double));
|
|
const int sqsumstep = (int)(_sqsumstep/sizeof(double));
|
|
const int ops_per_line = width * num_channels;
|
|
|
|
// Clear the first line of the sum as per spec (see integral documentation)
|
|
// Also adjust the index of sum and sqsum to be at the real 0th element
|
|
// and not point to the border pixel so it stays in sync with the src pointer
|
|
memset( sum, 0, (ops_per_line+num_channels)*sizeof(double));
|
|
sum += num_channels;
|
|
|
|
if (sqsum) {
|
|
memset( sqsum, 0, (ops_per_line+num_channels)*sizeof(double));
|
|
sqsum += num_channels;
|
|
}
|
|
|
|
// Now calculate the integral over the whole image one line at a time
|
|
for(int y = 0; y < height; y++) {
|
|
const uchar * src_line = &src[y*srcstep];
|
|
double * sum_above = &sum[y*sumstep];
|
|
double * sum_line = &sum_above[sumstep];
|
|
double * sqsum_above = (sqsum) ? &sqsum[y*sqsumstep] : NULL;
|
|
double * sqsum_line = (sqsum) ? &sqsum_above[sqsumstep] : NULL;
|
|
|
|
calculate_integral_for_line(src_line, sum_line, sum_above, sqsum_line, sqsum_above, ops_per_line);
|
|
|
|
}
|
|
}
|
|
|
|
static CV_ALWAYS_INLINE
|
|
void calculate_integral_for_line(const uchar *srcs,
|
|
double *sums, double *sums_above,
|
|
double *sqsums, double *sqsums_above,
|
|
int num_ops_in_line)
|
|
{
|
|
__m512i sum_accumulator = _mm512_setzero_si512(); // holds rolling sums for the line
|
|
__m512i sqsum_accumulator = _mm512_setzero_si512(); // holds rolling sqsums for the line
|
|
|
|
// The first element on each line must be zeroes as per spec (see integral documentation)
|
|
zero_out_border_pixel(sums, sqsums);
|
|
|
|
// Do all 64 byte chunk operations then do the last bits that don't fit in a 64 byte chunk
|
|
aligned_integral( srcs, sums, sums_above, sqsums, sqsums_above, sum_accumulator, sqsum_accumulator, num_ops_in_line);
|
|
post_aligned_integral(srcs, sums, sums_above, sqsums, sqsums_above, sum_accumulator, sqsum_accumulator, num_ops_in_line);
|
|
|
|
}
|
|
|
|
|
|
static CV_ALWAYS_INLINE
|
|
void zero_out_border_pixel(double *sums, double *sqsums)
|
|
{
|
|
// Note the negative index is because the sums/sqsums pointers point to the first real pixel
|
|
// after the border pixel so we have to look backwards
|
|
_mm512_mask_storeu_epi64(&sums[-(ptrdiff_t)num_channels], (1<<num_channels)-1, _mm512_setzero_si512());
|
|
if (sqsums)
|
|
_mm512_mask_storeu_epi64(&sqsums[-(ptrdiff_t)num_channels], (1<<num_channels)-1, _mm512_setzero_si512());
|
|
}
|
|
|
|
|
|
static CV_ALWAYS_INLINE
|
|
void aligned_integral(const uchar *&srcs,
|
|
double *&sums, double *&sums_above,
|
|
double *&sqsum, double *&sqsum_above,
|
|
__m512i &sum_accumulator, __m512i &sqsum_accumulator,
|
|
int num_ops_in_line)
|
|
{
|
|
// This function handles full 64 byte chunks of the source data at a time until it gets to the part of
|
|
// the line that no longer contains a full 64 byte chunk. Other code will handle the last part.
|
|
|
|
const int num_chunks = num_ops_in_line >> 6; // quick int divide by 64
|
|
|
|
for (int index_64byte_chunk = 0; index_64byte_chunk < num_chunks; index_64byte_chunk++){
|
|
integral_64_operations_avx512((__m512i *) srcs,
|
|
(__m512i *) sums, (__m512i *) sums_above,
|
|
(__m512i *) sqsum, (__m512i *) sqsum_above,
|
|
0xFFFFFFFFFFFFFFFF, sum_accumulator, sqsum_accumulator);
|
|
srcs+=64; sums+=64; sums_above+=64;
|
|
if (sqsum){ sqsum+= 64; sqsum_above+=64; }
|
|
}
|
|
}
|
|
|
|
|
|
static CV_ALWAYS_INLINE
|
|
void post_aligned_integral(const uchar *srcs,
|
|
const double *sums, const double *sums_above,
|
|
const double *sqsum, const double *sqsum_above,
|
|
__m512i &sum_accumulator, __m512i &sqsum_accumulator,
|
|
int num_ops_in_line)
|
|
{
|
|
// This function handles the last few straggling operations that are not a full chunk of 64 operations
|
|
// We use the same algorithm, but we calculate a different operation mask using (num_ops % 64).
|
|
|
|
const unsigned int num_operations = (unsigned int) num_ops_in_line & 0x3F; // Quick int modulo 64
|
|
|
|
if (num_operations > 0) {
|
|
__mmask64 operation_mask = (1ULL << num_operations) - 1ULL;
|
|
|
|
integral_64_operations_avx512((__m512i *) srcs, (__m512i *) sums, (__m512i *) sums_above,
|
|
(__m512i *) sqsum, (__m512i *) sqsum_above,
|
|
operation_mask, sum_accumulator, sqsum_accumulator);
|
|
}
|
|
}
|
|
|
|
|
|
static CV_ALWAYS_INLINE
|
|
void integral_64_operations_avx512(const __m512i *srcs,
|
|
__m512i *sums, const __m512i *sums_above,
|
|
__m512i *sqsums, const __m512i *sqsums_above,
|
|
__mmask64 data_mask,
|
|
__m512i &sum_accumulator, __m512i &sqsum_accumulator)
|
|
{
|
|
__m512i src_64byte_chunk = read_64_bytes(srcs, data_mask);
|
|
|
|
while (data_mask) {
|
|
__m128i src_16bytes = extract_lower_16bytes(src_64byte_chunk);
|
|
|
|
__m512i src_longs_lo = convert_lower_8bytes_to_longs(src_16bytes);
|
|
__m512i src_longs_hi = convert_lower_8bytes_to_longs(shift_right_8_bytes(src_16bytes));
|
|
|
|
// Calculate integral for the sum on the 8 lanes at a time
|
|
integral_8_operations(src_longs_lo, sums_above, data_mask, sums, sum_accumulator);
|
|
integral_8_operations(src_longs_hi, sums_above+1, data_mask>>8, sums+1, sum_accumulator);
|
|
|
|
if (sqsums) {
|
|
__m512i squared_source_lo = square_m512(src_longs_lo);
|
|
__m512i squared_source_hi = square_m512(src_longs_hi);
|
|
|
|
integral_8_operations(squared_source_lo, sqsums_above, data_mask, sqsums, sqsum_accumulator);
|
|
integral_8_operations(squared_source_hi, sqsums_above+1, data_mask>>8, sqsums+1, sqsum_accumulator);
|
|
sqsums += 2;
|
|
sqsums_above+=2;
|
|
}
|
|
|
|
// Prepare for next iteration of loop
|
|
// shift source to align next 16 bytes to lane 0, shift the mask, and advance the pointers
|
|
sums += 2;
|
|
sums_above += 2;
|
|
data_mask = data_mask >> 16;
|
|
src_64byte_chunk = shift_right_16_bytes(src_64byte_chunk);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
static CV_ALWAYS_INLINE
|
|
void integral_8_operations(const __m512i src_longs, const __m512i *above_values_ptr, __mmask64 data_mask,
|
|
__m512i *results_ptr, __m512i &accumulator)
|
|
{
|
|
// NOTE that the calculate_integral function referenced here must be implemented in the templated
|
|
// derivatives because the algorithm depends heavily on the number of channels in the image
|
|
//
|
|
_mm512_mask_storeu_pd(
|
|
results_ptr, // Store the result here
|
|
(__mmask8)data_mask, // Using the data mask to avoid overrunning the line
|
|
calculate_integral( // Writing the value of the integral derived from:
|
|
src_longs, // input data
|
|
_mm512_maskz_loadu_pd((__mmask8)data_mask, above_values_ptr), // and the results from line above
|
|
accumulator // keeping track of the accumulator
|
|
)
|
|
);
|
|
}
|
|
|
|
|
|
static CV_ALWAYS_INLINE
|
|
__m512i read_64_bytes(const __m512i *srcs, const __mmask64 data_mask) {
|
|
return _mm512_maskz_loadu_epi8(data_mask, srcs);
|
|
}
|
|
|
|
|
|
static CV_ALWAYS_INLINE
|
|
__m128i extract_lower_16bytes(const __m512i src_64byte_chunk) {
|
|
return _mm512_extracti64x2_epi64(src_64byte_chunk, 0x0);
|
|
}
|
|
|
|
|
|
static CV_ALWAYS_INLINE
|
|
__m512i convert_lower_8bytes_to_longs(const __m128i src_16bytes) {
|
|
return _mm512_cvtepu8_epi64(src_16bytes);
|
|
}
|
|
|
|
|
|
static CV_ALWAYS_INLINE
|
|
__m512i square_m512(const __m512i src_longs) {
|
|
return _mm512_mullo_epi64(src_longs, src_longs);
|
|
}
|
|
|
|
|
|
static CV_ALWAYS_INLINE
|
|
__m128i shift_right_8_bytes(const __m128i src_16bytes) {
|
|
return _mm_maskz_compress_epi64(2, src_16bytes);
|
|
}
|
|
|
|
|
|
static CV_ALWAYS_INLINE
|
|
__m512i shift_right_16_bytes(const __m512i src_64byte_chunk) {
|
|
return _mm512_maskz_compress_epi64(0xFC, src_64byte_chunk);
|
|
}
|
|
|
|
|
|
static CV_ALWAYS_INLINE
|
|
__m512i m512_hadd(const __m512i a){
|
|
return _mm512_add_epi64(_mm512_maskz_compress_epi64(0xAA, a), _mm512_maskz_compress_epi64(0x55, a));
|
|
}
|
|
|
|
|
|
// The calculate_integral function referenced here must be implemented in the templated derivatives
|
|
// because the algorithm depends heavily on the number of channels in the image
|
|
// This is the incomplete definition (just the prototype) here.
|
|
//
|
|
static CV_ALWAYS_INLINE
|
|
__m512d calculate_integral(const __m512i src_longs, const __m512d above_values, __m512i &accumulator);
|
|
|
|
};
|
|
|
|
|
|
//============================================================================================================
|
|
// This the only section that needs to change with respect to algorithm based on the number of channels
|
|
// It is responsible for returning the calculation of 8 lanes worth of the integral and returning in the
|
|
// accumulated sums in the accumulator parameter (NOTE: accumulator is an input and output parameter)
|
|
//
|
|
// The function prototype that needs to be implemented is:
|
|
//
|
|
// __m512d calculate_integral(const __m512i src_longs, const __m512d above_values, __m512i &accumulator){ ... }
|
|
//
|
|
// Description of parameters:
|
|
// INPUTS:
|
|
// src_longs : 8 lanes worth of the source bytes converted to 64 bit integers
|
|
// above_values: 8 lanes worth of the result values from the line above (See the integral spec)
|
|
// accumulator : 8 lanes worth of sums from the previous iteration
|
|
// IMPORTANT NOTE: This parameter is both an INPUT AND OUTPUT parameter to this function
|
|
//
|
|
// OUTPUTS:
|
|
// return value: The actual integral value for all 8 lanes which is defined by the spec as
|
|
// the sum of all channel values to the left of a given pixel plus the result
|
|
// written to the line directly above the current line.
|
|
// accumulator: This is an input and and output. This parameter should be left with the accumulated
|
|
// sums for the current 8 lanes keeping all entries in the proper lane (do not shuffle it)
|
|
//
|
|
// Below here is the channel specific implementation
|
|
//
|
|
|
|
//========================================
|
|
// 1 Channel Integral Implementation
|
|
//========================================
|
|
template<>
|
|
CV_ALWAYS_INLINE
|
|
__m512d IntegralCalculator < 1 > ::calculate_integral(const __m512i src_longs, const __m512d above_values, __m512i &accumulator)
|
|
{
|
|
// One channel support is implemented differently than 2, 3, or 4 channel
|
|
// One channel support has more horizontal operations that cannot be made vertical without losing performance
|
|
// The logical operations needed look like:
|
|
// Vertical LANES : |7|6|5|4|3|2|1|0|
|
|
// src_longs : |H|G|F|E|D|C|B|A|
|
|
// shift_by_1 : + |G|F|E|D|C|B|A| |
|
|
// shift_by_2 : + |F|E|D|C|B|A| | |
|
|
// shift_by_3 : + |E|D|C|B|A| | | |
|
|
// shift_by_4 : + |D|C|B|A| | | | |
|
|
// shift_by_5 : + |C|B|A| | | | | |
|
|
// shift_by_6 : + |B|A| | | | | | |
|
|
// shift_by_7 : + |A| | | | | | | |
|
|
// carry_over_idxs : + |7|7|7|7|7|7|7|7| (index position of result from previous iteration)
|
|
// = integral
|
|
//
|
|
// If we do this vertically we end up losing performance because of the number of operations. We will instead
|
|
// do a horizontal add tree to create the vertical sections we need as a tree
|
|
// Vertical Lanes: | 7 | 6 | 5 | 4 | 3 | 2 | 1 | 0 |
|
|
// src_longs: | H | G | F | E | D | C | B | A |
|
|
// horiz_sum_1: | | | | | G+H | E+F | C+D | A+B |
|
|
// horiz_sum_2: | | | | | | | EFGH | ABCD |
|
|
//
|
|
const __m512i horiz_sum_1 = m512_hadd(src_longs); // indexes for the permutes below (3,2,1,0) = (GH, EF, CD, AB)
|
|
const __m512i horiz_sum_2 = m512_hadd(horiz_sum_1); // indexes for the permutes below (9, 8) = (EFGH, ABCD)
|
|
|
|
// Then we can use the partial sums by looking at the vertical stacks above and realize that, for example
|
|
// ABCD appears vertically in lanes 7, 6, 5, 4, and 3 so we will permute the values so that all partial products
|
|
// appear in the right lanes. and sum them up along with the carry over value from the accumulator. So we setup
|
|
// the lanes like:
|
|
// Vertical Lanes: | 7 | 6 | 5 | 4 | 3 | 2 | 1 | 0 |
|
|
// s1 : | 0 | G | 0 | E | 0 | C | 0 | A |
|
|
// s2 : | ABCD | ABCD | ABCD | ABCD | ABCD | AB | AB | 0 |
|
|
// s3 : | EFGH | EF | EF | 0 | 0 | 0 | 0 | 0 |
|
|
// +------+------+------+------+------+------+------+------+
|
|
// sum : | A..H | A..G | A..F | A..E | A..D | A..C | A..B | A | Integral :-)
|
|
//
|
|
const __m512i s1 = _mm512_maskz_mov_epi64(0x55, src_longs); // 0 G 0 E 0 D 0 C 0 A
|
|
const __m512i s2 = _mm512_permutex2var_epi64(horiz_sum_1, _mm512_set_epi64(8,8,8,8,8,0,0,4), horiz_sum_2);
|
|
const __m512i s3 = _mm512_permutex2var_epi64(horiz_sum_1, _mm512_set_epi64(9,2,2,4,4,4,4,4), horiz_sum_2);
|
|
|
|
// Now we use the rolling sum from the previous iteration from accumulator and replicate it into carry_over
|
|
// And sum everything up into the accumulator
|
|
//
|
|
const __m512i carry_over = _mm512_permutex2var_epi64(accumulator, _mm512_set_epi64(7,7,7,7,7,7,7,7), accumulator);
|
|
accumulator = _mm512_add_epi64(_mm512_add_epi64(s2, s3), _mm512_add_epi64(carry_over, s1));
|
|
|
|
// Convert to double precision and store
|
|
//
|
|
__m512d integral_pd = _mm512_add_pd(_mm512_cvtepu64_pd(accumulator), above_values);
|
|
return integral_pd;
|
|
}
|
|
|
|
|
|
//========================================
|
|
// 2 Channel Integral Implementation
|
|
//========================================
|
|
template<>
|
|
CV_ALWAYS_INLINE
|
|
__m512d IntegralCalculator < 2 > ::calculate_integral(const __m512i src_longs, const __m512d above_values, __m512i &accumulator)
|
|
{
|
|
__m512i carryover_idxs = _mm512_set_epi64(7, 6, 7, 6, 7, 6, 7, 6);
|
|
|
|
// Align data to prepare for the adds:
|
|
// shifts data left by 3 and 6 qwords(lanes) and gets rolling sum in all lanes
|
|
// Vertical LANES : 76543210
|
|
// src_longs : HGFEDCBA
|
|
// shift2lanes : + FEDCBA
|
|
// shift4lanes : + DCBA
|
|
// shift6lanes : + BA
|
|
// carry_over_idxs : + 76767676 (index position of result from previous iteration)
|
|
// = integral
|
|
__m512i shift2lanes = _mm512_maskz_expand_epi64(0xFC, src_longs);
|
|
__m512i shift4lanes = _mm512_maskz_expand_epi64(0xF0, src_longs);
|
|
__m512i shift6lanes = _mm512_maskz_expand_epi64(0xC0, src_longs);
|
|
__m512i carry_over = _mm512_permutex2var_epi64(accumulator, carryover_idxs, accumulator);
|
|
|
|
// Add all values in tree form for perf ((0+2) + (4+6))
|
|
__m512i sum_shift_02 = _mm512_add_epi64(src_longs, shift2lanes);
|
|
__m512i sum_shift_46 = _mm512_add_epi64(shift4lanes, shift6lanes);
|
|
__m512i sum_all = _mm512_add_epi64(sum_shift_02, sum_shift_46);
|
|
accumulator = _mm512_add_epi64(sum_all, carry_over);
|
|
|
|
// Convert to packed double and add to the line above to get the true integral value
|
|
__m512d accumulator_pd = _mm512_cvtepu64_pd(accumulator);
|
|
__m512d integral_pd = _mm512_add_pd(accumulator_pd, above_values);
|
|
return integral_pd;
|
|
}
|
|
|
|
|
|
//========================================
|
|
// 3 Channel Integral Implementation
|
|
//========================================
|
|
template<>
|
|
CV_ALWAYS_INLINE
|
|
__m512d IntegralCalculator < 3 > ::calculate_integral(const __m512i src_longs, const __m512d above_values, __m512i &accumulator)
|
|
{
|
|
__m512i carryover_idxs = _mm512_set_epi64(6, 5, 7, 6, 5, 7, 6, 5);
|
|
|
|
// Align data to prepare for the adds:
|
|
// shifts data left by 3 and 6 qwords(lanes) and gets rolling sum in all lanes
|
|
// Vertical LANES: 76543210
|
|
// src_longs : HGFEDCBA
|
|
// shit3lanes : + EDCBA
|
|
// shift6lanes : + BA
|
|
// carry_over_idxs : + 65765765 (index position of result from previous iteration)
|
|
// = integral
|
|
__m512i shift3lanes = _mm512_maskz_expand_epi64(0xF8, src_longs);
|
|
__m512i shift6lanes = _mm512_maskz_expand_epi64(0xC0, src_longs);
|
|
__m512i carry_over = _mm512_permutex2var_epi64(accumulator, carryover_idxs, accumulator);
|
|
|
|
// Do the adds in tree form
|
|
__m512i sum_shift_03 = _mm512_add_epi64(src_longs, shift3lanes);
|
|
__m512i sum_rest = _mm512_add_epi64(shift6lanes, carry_over);
|
|
accumulator = _mm512_add_epi64(sum_shift_03, sum_rest);
|
|
|
|
// Convert to packed double and add to the line above to get the true integral value
|
|
__m512d accumulator_pd = _mm512_cvtepu64_pd(accumulator);
|
|
__m512d integral_pd = _mm512_add_pd(accumulator_pd, above_values);
|
|
return integral_pd;
|
|
}
|
|
|
|
|
|
//========================================
|
|
// 4 Channel Integral Implementation
|
|
//========================================
|
|
template<>
|
|
CV_ALWAYS_INLINE
|
|
__m512d IntegralCalculator < 4 > ::calculate_integral(const __m512i src_longs, const __m512d above_values, __m512i &accumulator)
|
|
{
|
|
__m512i carryover_idxs = _mm512_set_epi64(7, 6, 5, 4, 7, 6, 5, 4);
|
|
|
|
// Align data to prepare for the adds:
|
|
// shifts data left by 3 and 6 qwords(lanes) and gets rolling sum in all lanes
|
|
// Vertical LANES: 76543210
|
|
// src_longs : HGFEDCBA
|
|
// shit4lanes : + DCBA
|
|
// carry_over_idxs : + 76547654 (index position of result from previous iteration)
|
|
// = integral
|
|
__m512i shifted4lanes = _mm512_maskz_expand_epi64(0xF0, src_longs);
|
|
__m512i carry_over = _mm512_permutex2var_epi64(accumulator, carryover_idxs, accumulator);
|
|
|
|
// Add data pixels and carry over from last iteration
|
|
__m512i sum_shift_04 = _mm512_add_epi64(src_longs, shifted4lanes);
|
|
accumulator = _mm512_add_epi64(sum_shift_04, carry_over);
|
|
|
|
// Convert to packed double and add to the line above to get the true integral value
|
|
__m512d accumulator_pd = _mm512_cvtepu64_pd(accumulator);
|
|
__m512d integral_pd = _mm512_add_pd(accumulator_pd, above_values);
|
|
return integral_pd;
|
|
}
|
|
|
|
|
|
} // end of anonymous namespace
|
|
|
|
static
|
|
void calculate_integral_avx512(const uchar *src, size_t _srcstep,
|
|
double *sum, size_t _sumstep,
|
|
double *sqsum, size_t _sqsumstep,
|
|
int width, int height, int cn)
|
|
{
|
|
CV_INSTRUMENT_REGION();
|
|
|
|
switch(cn){
|
|
case 1: {
|
|
IntegralCalculator< 1 > calculator;
|
|
calculator.calculate_integral_avx512(src, _srcstep, sum, _sumstep, sqsum, _sqsumstep, width, height);
|
|
break;
|
|
}
|
|
case 2: {
|
|
IntegralCalculator< 2 > calculator;
|
|
calculator.calculate_integral_avx512(src, _srcstep, sum, _sumstep, sqsum, _sqsumstep, width, height);
|
|
break;
|
|
}
|
|
case 3: {
|
|
IntegralCalculator< 3 > calculator;
|
|
calculator.calculate_integral_avx512(src, _srcstep, sum, _sumstep, sqsum, _sqsumstep, width, height);
|
|
break;
|
|
}
|
|
case 4: {
|
|
IntegralCalculator< 4 > calculator;
|
|
calculator.calculate_integral_avx512(src, _srcstep, sum, _sumstep, sqsum, _sqsumstep, width, height);
|
|
}
|
|
}
|
|
}
|
|
|
|
|
|
CV_CPU_OPTIMIZATION_NAMESPACE_END
|
|
}} // end namespace cv::hal
|