tesseract v5.3.3.20231005
dotproductfma.cpp
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1
2// File: dotproductfma.cpp
3// Description: Architecture-specific dot-product function.
4// Author: Stefan Weil
5//
6// (C) Copyright 2015, Google Inc.
7// Licensed under the Apache License, Version 2.0 (the "License");
8// you may not use this file except in compliance with the License.
9// You may obtain a copy of the License at
10// http://www.apache.org/licenses/LICENSE-2.0
11// Unless required by applicable law or agreed to in writing, software
12// distributed under the License is distributed on an "AS IS" BASIS,
13// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14// See the License for the specific language governing permissions and
15// limitations under the License.
17
18#if !defined(__FMA__)
19# if defined(__i686__) || defined(__x86_64__)
20# error Implementation only for FMA capable architectures
21# endif
22#else
23
24# include <immintrin.h>
25# include <cstdint>
26# include "dotproduct.h"
27
28namespace tesseract {
29
30// Computes and returns the dot product of the n-vectors u and v.
31// Uses Intel FMA intrinsics to access the SIMD instruction set.
32#if defined(FAST_FLOAT)
33float DotProductFMA(const float *u, const float *v, int n) {
34 const unsigned quot = n / 16;
35 const unsigned rem = n % 16;
36 __m256 t0 = _mm256_setzero_ps();
37 __m256 t1 = _mm256_setzero_ps();
38 for (unsigned k = 0; k < quot; k++) {
39 __m256 f0 = _mm256_loadu_ps(u);
40 __m256 f1 = _mm256_loadu_ps(v);
41 t0 = _mm256_fmadd_ps(f0, f1, t0);
42 u += 8;
43 v += 8;
44 __m256 f2 = _mm256_loadu_ps(u);
45 __m256 f3 = _mm256_loadu_ps(v);
46 t1 = _mm256_fmadd_ps(f2, f3, t1);
47 u += 8;
48 v += 8;
49 }
50 t0 = _mm256_hadd_ps(t0, t1);
51 alignas(32) float tmp[8];
52 _mm256_store_ps(tmp, t0);
53 float result = tmp[0] + tmp[1] + tmp[2] + tmp[3] + tmp[4] + tmp[5] + tmp[6] + tmp[7];
54 for (unsigned k = 0; k < rem; k++) {
55 result += *u++ * *v++;
56 }
57 return result;
58}
59#else
60double DotProductFMA(const double *u, const double *v, int n) {
61 const unsigned quot = n / 8;
62 const unsigned rem = n % 8;
63 __m256d t0 = _mm256_setzero_pd();
64 __m256d t1 = _mm256_setzero_pd();
65 for (unsigned k = 0; k < quot; k++) {
66 __m256d f0 = _mm256_loadu_pd(u);
67 __m256d f1 = _mm256_loadu_pd(v);
68 t0 = _mm256_fmadd_pd(f0, f1, t0);
69 u += 4;
70 v += 4;
71 __m256d f2 = _mm256_loadu_pd(u);
72 __m256d f3 = _mm256_loadu_pd(v);
73 t1 = _mm256_fmadd_pd(f2, f3, t1);
74 u += 4;
75 v += 4;
76 }
77 t0 = _mm256_hadd_pd(t0, t1);
78 alignas(32) double tmp[4];
79 _mm256_store_pd(tmp, t0);
80 double result = tmp[0] + tmp[1] + tmp[2] + tmp[3];
81 for (unsigned k = 0; k < rem; k++) {
82 result += *u++ * *v++;
83 }
84 return result;
85}
86#endif
87
88} // namespace tesseract.
89
90#endif
TFloat DotProductFMA(const TFloat *u, const TFloat *v, int n)