Mercurial > hgrepos > Python2 > PyMuPDF

annotate mupdf-source/thirdparty/tesseract/src/lstm/stridemap.h @ 21:2f43e400f144

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Provide an "all" target to build both the sdist and the wheel
author Franz Glasner <fzglas.hg@dom66.de>
date Fri, 19 Sep 2025 10:28:53 +0200
parents b50eed0cc0ef
children
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1 ///////////////////////////////////////////////////////////////////////
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2 // File: stridemap.h
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3 // Description: Indexing into a 4-d tensor held in a 2-d Array.
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4 // Author: Ray Smith
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5 //
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6 // (C) Copyright 2016, 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 #ifndef TESSERACT_LSTM_STRIDEMAP_H_
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18 #define TESSERACT_LSTM_STRIDEMAP_H_
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19
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20 #include <cstring>
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21 #include <vector>
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22
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23 namespace tesseract {
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24
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25 // Enum describing the dimensions of the 'Tensor' in a NetworkIO.
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26 // A NetworkIO is analogous to a TF Tensor, except that the number of dimensions
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27 // is fixed (4), and they always have the same meaning. The underlying
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28 // representation is a 2-D array, for which the product batch*height*width
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29 // is always dim1 and depth is always dim2. FlexDimensions is used only for
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30 // batch, height, width with the StrideMap, and therefore represents the runtime
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31 // shape. The build-time shape is defined by StaticShape.
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32 enum FlexDimensions {
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33 FD_BATCH, // Index of multiple images.
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34 FD_HEIGHT, // y-coordinate in image.
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35 FD_WIDTH, // x-coordinate in image.
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36 FD_DIMSIZE, // Number of flexible non-depth dimensions.
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37 };
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38
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39 // Encapsulation of information relating to the mapping from [batch][y][x] to
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40 // the first index into the 2-d array underlying a NetworkIO.
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41 class StrideMap {
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42 public:
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43 // Class holding the non-depth indices.
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44 class Index {
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45 public:
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46 explicit Index(const StrideMap &stride_map) : stride_map_(&stride_map) {
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47 InitToFirst();
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48 }
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49 Index(const StrideMap &stride_map, int batch, int y, int x) : stride_map_(&stride_map) {
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50 indices_[FD_BATCH] = batch;
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51 indices_[FD_HEIGHT] = y;
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52 indices_[FD_WIDTH] = x;
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53 SetTFromIndices();
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54 }
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55 // Accesses the index to the underlying array.
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56 int t() const {
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57 return t_;
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58 }
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59 int index(FlexDimensions dimension) const {
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60 return indices_[dimension];
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61 }
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62 // Initializes the indices to the first valid location.
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63 void InitToFirst() {
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64 memset(indices_, 0, sizeof(indices_));
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65 t_ = 0;
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66 }
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67 // Initializes the indices to the last valid location.
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68 void InitToLast() {
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69 InitToLastOfBatch(MaxIndexOfDim(FD_BATCH));
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70 }
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71 // Returns true if *this is a valid index.
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72 bool IsValid() const;
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73 // Returns true if the index of the given dimension is the last.
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74 bool IsLast(FlexDimensions dimension) const;
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75 // Given that the dimensions up to and including dim-1 are valid, returns
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76 // the maximum index for dimension dim.
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77 int MaxIndexOfDim(FlexDimensions dim) const;
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78 // Adds the given offset to the given dimension. Returns true if the result
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79 // makes a valid index.
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80 bool AddOffset(int offset, FlexDimensions dimension);
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81 // Increments the index in some encapsulated way that guarantees to remain
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82 // valid until it returns false, meaning that the iteration is complete.
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83 bool Increment();
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84 // Decrements the index in some encapsulated way that guarantees to remain
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85 // valid until it returns false, meaning that the iteration (that started
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86 // with InitToLast()) is complete.
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87 bool Decrement();
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88
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89 private:
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90 // Initializes the indices to the last valid location in the given batch
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91 // index.
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92 void InitToLastOfBatch(int batch);
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93 // Computes and sets t_ from the current indices_.
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94 void SetTFromIndices();
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95
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96 // Map into which *this is an index.
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97 const StrideMap *stride_map_;
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98 // Index to the first dimension of the underlying array.
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99 int t_;
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100 // Indices into the individual dimensions.
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101 int indices_[FD_DIMSIZE];
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102 };
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103
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104 StrideMap() {
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105 memset(shape_, 0, sizeof(shape_));
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106 memset(t_increments_, 0, sizeof(t_increments_));
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107 }
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108 // Default copy constructor and operator= are OK to use here!
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109
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110 // Sets up the stride for the given array of height, width pairs.
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111 void SetStride(const std::vector<std::pair<int, int>> &h_w_pairs);
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112 // Scales width and height dimensions by the given factors.
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113 void ScaleXY(int x_factor, int y_factor);
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114 // Reduces width to 1, across the batch, whatever the input size.
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115 void ReduceWidthTo1();
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116 // Transposes the width and height dimensions.
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117 void TransposeXY();
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118 // Returns the size of the given dimension.
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119 int Size(FlexDimensions dimension) const {
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120 return shape_[dimension];
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121 }
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122 // Returns the total width required.
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123 int Width() const {
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124 return t_increments_[FD_BATCH] * shape_[FD_BATCH];
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125 }
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126
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127 private:
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128 // Computes t_increments_ from shape_.
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129 void ComputeTIncrements();
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130
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131 // The size of each non-depth dimension.
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132 int shape_[FD_DIMSIZE];
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133 // Precomputed 't' increments for each dimension. This is the value of
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134 // the given dimension in the packed 3-d array that the shape_ represents.
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135 int t_increments_[FD_DIMSIZE];
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136 // Vector of size shape_[FD_BATCH] holds the height of each image in a batch.
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137 std::vector<int> heights_;
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138 // Vector of size shape_[FD_BATCH] holds the width of each image in a batch.
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139 std::vector<int> widths_;
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140 };
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141
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142 } // namespace tesseract
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143
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144 #endif // TESSERACT_LSTM_STRIDEMAP_H_