Mercurial > hgrepos > Python2 > PyMuPDF

annotate mupdf-source/thirdparty/tesseract/src/arch/intsimdmatrixsse.cpp @ 2:b50eed0cc0ef upstream

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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4. The directory name has changed: no version number in the expanded directory now.
author Franz Glasner <fzglas.hg@dom66.de>
date Mon, 15 Sep 2025 11:43:07 +0200
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1 ///////////////////////////////////////////////////////////////////////
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2 // File: intsindmatrixsse.cpp
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3 // Description: SSE implementation of 8-bit int SIMD matrix multiply.
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4 // Author: Ray Smith
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5 //
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6 // (C) Copyright 2017, Google Inc.
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7 // Licensed under the Apache License, Version 2.0 (the "License");
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8 // you may not use this file except in compliance with the License.
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9 // You may obtain a copy of the License at
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10 // http://www.apache.org/licenses/LICENSE-2.0
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11 // Unless required by applicable law or agreed to in writing, software
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12 // distributed under the License is distributed on an "AS IS" BASIS,
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13 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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14 // See the License for the specific language governing permissions and
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15 // limitations under the License.
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16 ///////////////////////////////////////////////////////////////////////
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17
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18 #if !defined(__SSE4_1__)
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19 # if defined(__i686__) || defined(__x86_64__)
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20 # error Implementation only for SSE 4.1 capable architectures
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21 # endif
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22 #else
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23
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24 # include "intsimdmatrix.h"
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26 # include <emmintrin.h>
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27 # include <smmintrin.h>
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28 # include <cstdint>
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29
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30 namespace tesseract {
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31
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32 // Computes and returns the dot product of the n-vectors u and v.
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33 // Uses Intel SSE intrinsics to access the SIMD instruction set.
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34 static int32_t IntDotProductSSE(const int8_t *u, const int8_t *v, int n) {
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35 int max_offset = n - 8;
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36 int offset = 0;
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37 // Accumulate a set of 4 32-bit sums in sum, by loading 8 pairs of 8-bit
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38 // values, extending to 16 bit, multiplying to make 32 bit results.
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39 int32_t result = 0;
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40 if (offset <= max_offset) {
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41 offset = 8;
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42 __m128i packed1 = _mm_loadl_epi64(reinterpret_cast<const __m128i *>(u));
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43 __m128i packed2 = _mm_loadl_epi64(reinterpret_cast<const __m128i *>(v));
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44 __m128i sum = _mm_cvtepi8_epi16(packed1);
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45 packed2 = _mm_cvtepi8_epi16(packed2);
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46 // The magic _mm_add_epi16 is perfect here. It multiplies 8 pairs of 16 bit
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47 // ints to make 32 bit results, which are then horizontally added in pairs
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48 // to make 4 32 bit results that still fit in a 128 bit register.
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49 sum = _mm_madd_epi16(sum, packed2);
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50 while (offset <= max_offset) {
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51 packed1 = _mm_loadl_epi64(reinterpret_cast<const __m128i *>(u + offset));
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52 packed2 = _mm_loadl_epi64(reinterpret_cast<const __m128i *>(v + offset));
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53 offset += 8;
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54 packed1 = _mm_cvtepi8_epi16(packed1);
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55 packed2 = _mm_cvtepi8_epi16(packed2);
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56 packed1 = _mm_madd_epi16(packed1, packed2);
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57 sum = _mm_add_epi32(sum, packed1);
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58 }
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59 // Sum the 4 packed 32 bit sums and extract the low result.
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60 sum = _mm_hadd_epi32(sum, sum);
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61 sum = _mm_hadd_epi32(sum, sum);
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62 result = _mm_cvtsi128_si32(sum);
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63 }
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64 while (offset < n) {
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65 result += u[offset] * v[offset];
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66 ++offset;
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67 }
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68 return result;
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69 }
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70
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71 // Computes part of matrix.vector v = Wu. Computes 1 result.
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72 static void PartialMatrixDotVector1(const int8_t *wi, const TFloat *scales, const int8_t *u,
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73 int num_in, TFloat *v) {
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74 TFloat total = IntDotProductSSE(u, wi, num_in);
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75 // Add in the bias and correct for integer values.
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76 *v = (total + wi[num_in] * INT8_MAX) * *scales;
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77 }
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78
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79 static void matrixDotVector(int dim1, int dim2, const int8_t *wi, const TFloat *scales,
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80 const int8_t *u, TFloat *v) {
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81 const int num_out = dim1;
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82 const int num_in = dim2 - 1;
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83 int output = 0;
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84
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85 for (; output < num_out; output++) {
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86 PartialMatrixDotVector1(wi, scales, u, num_in, v);
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87 wi += dim2;
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88 scales++;
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89 v++;
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90 }
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91 }
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92
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93 const IntSimdMatrix IntSimdMatrix::intSimdMatrixSSE = {
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94 matrixDotVector,
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95 // Number of 32 bit outputs held in each register.
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96 1,
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parents:
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97 // Maximum number of registers that we will use to hold outputs.
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parents:
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98 1,
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parents:
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99 // Number of 8 bit inputs in the inputs register.
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parents:
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100 1,
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parents:
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101 // Number of inputs in each weight group.
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parents:
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102 1
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parents:
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103 };
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104
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parents:
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105 } // namespace tesseract.
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106
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parents:
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107 #endif