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comparison mupdf-source/thirdparty/tesseract/src/lstm/series.h @ 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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1:1d09e1dec1d9 2:b50eed0cc0ef
1 ///////////////////////////////////////////////////////////////////////
2 // File: series.h
3 // Description: Runs networks in series on the same input.
4 // Author: Ray Smith
5 //
6 // (C) Copyright 2013, 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.
16 ///////////////////////////////////////////////////////////////////////
17
18 #ifndef TESSERACT_LSTM_SERIES_H_
19 #define TESSERACT_LSTM_SERIES_H_
20
21 #include "plumbing.h"
22
23 namespace tesseract {
24
25 // Runs two or more networks in series (layers) on the same input.
26 class Series : public Plumbing {
27 public:
28 // ni_ and no_ will be set by AddToStack.
29 TESS_API
30 explicit Series(const std::string &name);
31 ~Series() override = default;
32
33 // Returns the shape output from the network given an input shape (which may
34 // be partially unknown ie zero).
35 StaticShape OutputShape(const StaticShape &input_shape) const override;
36
37 std::string spec() const override {
38 std::string spec("[");
39 for (auto &it : stack_) {
40 spec += it->spec();
41 }
42 spec += "]";
43 return spec;
44 }
45
46 // Sets up the network for training. Initializes weights using weights of
47 // scale `range` picked according to the random number generator `randomizer`.
48 // Returns the number of weights initialized.
49 int InitWeights(float range, TRand *randomizer) override;
50 // Recursively searches the network for softmaxes with old_no outputs,
51 // and remaps their outputs according to code_map. See network.h for details.
52 int RemapOutputs(int old_no, const std::vector<int> &code_map) override;
53
54 // Sets needs_to_backprop_ to needs_backprop and returns true if
55 // needs_backprop || any weights in this network so the next layer forward
56 // can be told to produce backprop for this layer if needed.
57 bool SetupNeedsBackprop(bool needs_backprop) override;
58
59 // Returns an integer reduction factor that the network applies to the
60 // time sequence. Assumes that any 2-d is already eliminated. Used for
61 // scaling bounding boxes of truth data.
62 // WARNING: if GlobalMinimax is used to vary the scale, this will return
63 // the last used scale factor. Call it before any forward, and it will return
64 // the minimum scale factor of the paths through the GlobalMinimax.
65 int XScaleFactor() const override;
66
67 // Provides the (minimum) x scale factor to the network (of interest only to
68 // input units) so they can determine how to scale bounding boxes.
69 void CacheXScaleFactor(int factor) override;
70
71 // Runs forward propagation of activations on the input line.
72 // See Network for a detailed discussion of the arguments.
73 void Forward(bool debug, const NetworkIO &input, const TransposedArray *input_transpose,
74 NetworkScratch *scratch, NetworkIO *output) override;
75
76 // Runs backward propagation of errors on the deltas line.
77 // See Network for a detailed discussion of the arguments.
78 bool Backward(bool debug, const NetworkIO &fwd_deltas, NetworkScratch *scratch,
79 NetworkIO *back_deltas) override;
80
81 // Splits the series after the given index, returning the two parts and
82 // deletes itself. The first part, up to network with index last_start, goes
83 // into start, and the rest goes into end.
84 TESS_API
85 void SplitAt(unsigned last_start, Series **start, Series **end);
86
87 // Appends the elements of the src series to this, removing from src and
88 // deleting it.
89 TESS_API
90 void AppendSeries(Network *src);
91 };
92
93 } // namespace tesseract.
94
95 #endif // TESSERACT_LSTM_SERIES_H_