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annotate mupdf-source/thirdparty/tesseract/src/arch/intsimdmatrix.h @ 46:7ee69f120f19 default tip

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>>>>> tag v1.26.5+1 for changeset b74429b0f5c4
author Franz Glasner <fzglas.hg@dom66.de>
date Sat, 11 Oct 2025 17:17:30 +0200
parents b50eed0cc0ef
children
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1 ///////////////////////////////////////////////////////////////////////
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2 // File: intsimdmatrix.h
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3 // Description: Base class for 8-bit int SIMD matrix multipliers.
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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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18 #ifndef TESSERACT_ARCH_INTSIMDMATRIX_H_
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19 #define TESSERACT_ARCH_INTSIMDMATRIX_H_
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21 #include <tesseract/export.h>
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23 #include <cstdint>
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24 #include <vector>
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26 #include "tesstypes.h"
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28 namespace tesseract {
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30 template <class T>
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31 class GENERIC_2D_ARRAY;
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33 // Base class for a SIMD function to multiply a matrix by a vector, with sources
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34 // of 8-bit signed integer, and result in a double, after appropriate scaling.
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35 // Assumes a specific method of multiplication that can be applied to any size
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36 // and number of SIMD registers as follows:
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37 // int32_t results are computed with num_outputs_per_register_ in each of
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38 // max_output_registers_ result registers, repeatedly until it would make too
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39 // many results, then the number of registers is halved, and so-on down to a
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40 // single result register. The last calculation only outputs the required number
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41 // of results instead of writing beyond the bounds. Eg: matrix has 75 outputs,
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42 // num_outputs_per_register_ = 4, and max_output_registers_ = 8,
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43 // Step 1: 8x4=32 results are computed,
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44 // Step 2: 8x4=32 again, total 64,
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45 // Step 3: 2x4=8 (since 8x4 is too many, so is 4x4), total 72,
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46 // Step 4: 1x3, total 75.
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47 // Each step above is computed using a PartialFunc, which runs over the input
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48 // vector once. The input is read one registerful of num_inputs_per_register_
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49 // at a time (presumably 4x num_outputs_per_register_ since they are int8_t)
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50 // so the inputs MUST BE PADDED to a multiple of num_inputs_per_register_.
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51 // Since it is slow (on Intel at least) to horizontally add in a register,
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52 // provision is made to process num_inputs_per_group_ inputs at a time, with
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53 // the group being replicated num_input_groups_ times and multiplied by a
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54 // num_inputs_per_group_ by num_input_groups_ rectangle of the weights matrix.
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55 // This is most convenient if num_inputs_per_group_ is 4, and the product
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56 // sign-extends and sums 8x8=16 bit results to 32 bits, adding 4 adjacent
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57 // results in the process, but it doesn't have to be implemented that way.
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58 // The weights are re-ordered by Init() to be used sequentially by the above
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59 // algorithm, followed by the biases, so they can be added at the end.
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60 // The base class computes the base C++ implementation.
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61 // NOTE that, although the subclasses execute on different SIMD hardware, no
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62 // virtual methods are needed, as the constructor sets up everything that
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63 // is required to allow the base class implementation to do all the work.
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64 struct TESS_API IntSimdMatrix {
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65 // Computes a reshaped copy of the weight matrix w.
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66 void Init(const GENERIC_2D_ARRAY<int8_t> &w, std::vector<int8_t> &shaped_w,
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67 int32_t &rounded_num_out) const;
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68
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69 // Rounds the size up to a multiple of the input register size (in int8_t).
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70 int RoundInputs(int size) const {
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71 return Roundup(size, num_inputs_per_register_);
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72 }
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73 // Rounds the size up to a multiple of the output register size (in int32_t).
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74 int RoundOutputs(int size) const {
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75 return Roundup(size, num_outputs_per_register_);
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76 }
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77
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78 // Computes matrix.vector v = Wu.
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79 // u is of size W.dim2() - 1 and the output v is of size W.dim1().
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80 // u is imagined to have an extra element at the end with value 1, to
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81 // implement the bias, but it doesn't actually have it.
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82 // Computes the base C++ implementation.
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83 static void MatrixDotVector(const GENERIC_2D_ARRAY<int8_t> &w, const std::vector<TFloat> &scales,
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84 const int8_t *u, TFloat *v);
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85
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86 // Rounds the input up to a multiple of the given factor.
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87 static int Roundup(int input, int factor) {
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88 return (input + factor - 1) / factor * factor;
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89 }
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90
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91 // Computes matrix.vector v = Wu.
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92 // u is of size W.dim2() - 1 and the output v is of size W.dim1().
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93 // u is imagined to have an extra element at the end with value 1, to
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94 // implement the bias, but it doesn't actually have it.
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95 // Uses an optimized implementation with partial funcs.
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96 // NOTE: The size of the input vector (u) must be padded using
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97 // RoundInputs above.
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98 // The input will be over-read to the extent of the padding. There are no
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99 // alignment requirements.
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100 using MatrixDotVectorFunction = void (*)(int, int, const int8_t *, const TFloat *, const int8_t *,
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101 TFloat *);
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102 MatrixDotVectorFunction matrixDotVectorFunction;
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103
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104 // Number of 32 bit outputs held in each register.
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105 int num_outputs_per_register_;
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106 // Maximum number of registers that we will use to hold outputs.
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107 int max_output_registers_;
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108 // Number of 8 bit inputs in the inputs register.
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109 int num_inputs_per_register_;
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110 // Number of inputs in each weight group.
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111 int num_inputs_per_group_;
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112 // Number of groups of inputs to be broadcast.
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113 // num_input_groups_ = num_inputs_per_register_ / num_inputs_per_group_
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114
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115 static const IntSimdMatrix *intSimdMatrix;
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116 // Only available with NEON.
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117 static const IntSimdMatrix intSimdMatrixNEON;
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118 // Only available with RVV.
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119 static const IntSimdMatrix intSimdMatrixRVV;
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120 // Only available with AVX2 / AVX / FMA / SSE.
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121 static const IntSimdMatrix intSimdMatrixAVX2;
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122 static const IntSimdMatrix intSimdMatrixSSE;
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123 };
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124
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125 } // namespace tesseract
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126
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127 #endif // TESSERACT_ARCH_INTSIMDMATRIX_H_