Mercurial > hgrepos > Python2 > PyMuPDF
annotate mupdf-source/thirdparty/tesseract/src/lstm/parallel.h @ 46:7ee69f120f19 default tip
>>>>> tag v1.26.5+1 for changeset b74429b0f5c4
| author | Franz Glasner <fzglas.hg@dom66.de> |
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| date | Sat, 11 Oct 2025 17:17:30 +0200 |
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1 /////////////////////////////////////////////////////////////////////// |
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2 // File: parallel.h |
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3 // Description: Runs networks in parallel on the same input. |
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4 // Author: Ray Smith |
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5 // |
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6 // (C) Copyright 2013, 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 #ifndef TESSERACT_LSTM_PARALLEL_H_ |
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19 #define TESSERACT_LSTM_PARALLEL_H_ |
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20 |
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21 #include "plumbing.h" |
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22 |
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23 namespace tesseract { |
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24 |
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25 // Runs multiple networks in parallel, interlacing their outputs. |
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26 class Parallel : public Plumbing { |
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27 public: |
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28 // ni_ and no_ will be set by AddToStack. |
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29 TESS_API |
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30 Parallel(const std::string &name, NetworkType type); |
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31 |
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32 // Returns the shape output from the network given an input shape (which may |
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33 // be partially unknown ie zero). |
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34 StaticShape OutputShape(const StaticShape &input_shape) const override; |
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35 |
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36 std::string spec() const override { |
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37 std::string spec; |
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38 if (type_ == NT_PAR_2D_LSTM) { |
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39 // We have 4 LSTMs operating in parallel here, so the size of each is |
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40 // the number of outputs/4. |
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41 spec += "L2xy" + std::to_string(no_ / 4); |
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42 } else if (type_ == NT_PAR_RL_LSTM) { |
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43 // We have 2 LSTMs operating in parallel here, so the size of each is |
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44 // the number of outputs/2. |
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45 if (stack_[0]->type() == NT_LSTM_SUMMARY) { |
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46 spec += "Lbxs" + std::to_string(no_ / 2); |
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47 } else { |
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48 spec += "Lbx" + std::to_string(no_ / 2); |
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49 } |
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50 } else { |
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51 if (type_ == NT_REPLICATED) { |
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52 spec += "R" + std::to_string(stack_.size()) + "(" + stack_[0]->spec(); |
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53 } else { |
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54 for (auto &it : stack_) { |
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55 spec += it->spec(); |
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56 } |
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57 } |
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58 spec += ")"; |
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59 } |
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60 return spec; |
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61 } |
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62 |
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63 // Runs forward propagation of activations on the input line. |
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64 // See Network for a detailed discussion of the arguments. |
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65 void Forward(bool debug, const NetworkIO &input, const TransposedArray *input_transpose, |
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66 NetworkScratch *scratch, NetworkIO *output) override; |
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67 |
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68 // Runs backward propagation of errors on the deltas line. |
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69 // See Network for a detailed discussion of the arguments. |
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70 bool Backward(bool debug, const NetworkIO &fwd_deltas, NetworkScratch *scratch, |
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71 NetworkIO *back_deltas) override; |
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72 |
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73 private: |
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74 // If *this is a NT_REPLICATED, then it feeds a replicated network with |
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75 // identical inputs, and it would be extremely wasteful for them to each |
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76 // calculate and store the same transpose of the inputs, so Parallel does it |
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77 // and passes a pointer to the replicated network, allowing it to use the |
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78 // transpose on the next call to Backward. |
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79 TransposedArray transposed_input_; |
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80 }; |
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81 |
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82 } // namespace tesseract. |
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83 |
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84 #endif // TESSERACT_LSTM_PARALLEL_H_ |
