Mercurial > hgrepos > Python2 > PyMuPDF
diff mupdf-source/thirdparty/tesseract/src/lstm/parallel.h @ 2:b50eed0cc0ef upstream
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> |
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| date | Mon, 15 Sep 2025 11:43:07 +0200 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/mupdf-source/thirdparty/tesseract/src/lstm/parallel.h Mon Sep 15 11:43:07 2025 +0200 @@ -0,0 +1,84 @@ +/////////////////////////////////////////////////////////////////////// +// File: parallel.h +// Description: Runs networks in parallel on the same input. +// Author: Ray Smith +// +// (C) Copyright 2013, Google Inc. +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// http://www.apache.org/licenses/LICENSE-2.0 +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +/////////////////////////////////////////////////////////////////////// + +#ifndef TESSERACT_LSTM_PARALLEL_H_ +#define TESSERACT_LSTM_PARALLEL_H_ + +#include "plumbing.h" + +namespace tesseract { + +// Runs multiple networks in parallel, interlacing their outputs. +class Parallel : public Plumbing { +public: + // ni_ and no_ will be set by AddToStack. + TESS_API + Parallel(const std::string &name, NetworkType type); + + // Returns the shape output from the network given an input shape (which may + // be partially unknown ie zero). + StaticShape OutputShape(const StaticShape &input_shape) const override; + + std::string spec() const override { + std::string spec; + if (type_ == NT_PAR_2D_LSTM) { + // We have 4 LSTMs operating in parallel here, so the size of each is + // the number of outputs/4. + spec += "L2xy" + std::to_string(no_ / 4); + } else if (type_ == NT_PAR_RL_LSTM) { + // We have 2 LSTMs operating in parallel here, so the size of each is + // the number of outputs/2. + if (stack_[0]->type() == NT_LSTM_SUMMARY) { + spec += "Lbxs" + std::to_string(no_ / 2); + } else { + spec += "Lbx" + std::to_string(no_ / 2); + } + } else { + if (type_ == NT_REPLICATED) { + spec += "R" + std::to_string(stack_.size()) + "(" + stack_[0]->spec(); + } else { + for (auto &it : stack_) { + spec += it->spec(); + } + } + spec += ")"; + } + return spec; + } + + // Runs forward propagation of activations on the input line. + // See Network for a detailed discussion of the arguments. + void Forward(bool debug, const NetworkIO &input, const TransposedArray *input_transpose, + NetworkScratch *scratch, NetworkIO *output) override; + + // Runs backward propagation of errors on the deltas line. + // See Network for a detailed discussion of the arguments. + bool Backward(bool debug, const NetworkIO &fwd_deltas, NetworkScratch *scratch, + NetworkIO *back_deltas) override; + +private: + // If *this is a NT_REPLICATED, then it feeds a replicated network with + // identical inputs, and it would be extremely wasteful for them to each + // calculate and store the same transpose of the inputs, so Parallel does it + // and passes a pointer to the replicated network, allowing it to use the + // transpose on the next call to Backward. + TransposedArray transposed_input_; +}; + +} // namespace tesseract. + +#endif // TESSERACT_LSTM_PARALLEL_H_
