Mercurial > hgrepos > Python2 > PyMuPDF

annotate mupdf-source/thirdparty/tesseract/src/lstm/maxpool.cpp @ 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: maxpool.cpp
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3 // Description: Standard Max-Pooling layer.
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4 // Author: Ray Smith
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5 //
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6 // (C) Copyright 2014, 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 #include "maxpool.h"
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20 namespace tesseract {
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22 Maxpool::Maxpool(const std::string &name, int ni, int x_scale, int y_scale)
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23 : Reconfig(name, ni, x_scale, y_scale) {
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24 type_ = NT_MAXPOOL;
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25 no_ = ni;
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26 }
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28 // Reads from the given file. Returns false in case of error.
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29 bool Maxpool::DeSerialize(TFile *fp) {
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30 bool result = Reconfig::DeSerialize(fp);
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31 no_ = ni_;
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32 return result;
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33 }
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35 // Runs forward propagation of activations on the input line.
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36 // See NetworkCpp for a detailed discussion of the arguments.
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37 void Maxpool::Forward(bool debug, const NetworkIO &input, const TransposedArray *input_transpose,
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38 NetworkScratch *scratch, NetworkIO *output) {
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39 output->ResizeScaled(input, x_scale_, y_scale_, no_);
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40 maxes_.ResizeNoInit(output->Width(), ni_);
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41 back_map_ = input.stride_map();
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43 StrideMap::Index dest_index(output->stride_map());
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44 do {
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45 int out_t = dest_index.t();
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46 StrideMap::Index src_index(input.stride_map(), dest_index.index(FD_BATCH),
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47 dest_index.index(FD_HEIGHT) * y_scale_,
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48 dest_index.index(FD_WIDTH) * x_scale_);
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49 // Find the max input out of x_scale_ groups of y_scale_ inputs.
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50 // Do it independently for each input dimension.
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51 int *max_line = maxes_[out_t];
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52 int in_t = src_index.t();
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53 output->CopyTimeStepFrom(out_t, input, in_t);
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54 for (int i = 0; i < ni_; ++i) {
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55 max_line[i] = in_t;
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56 }
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57 for (int x = 0; x < x_scale_; ++x) {
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58 for (int y = 0; y < y_scale_; ++y) {
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59 StrideMap::Index src_xy(src_index);
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60 if (src_xy.AddOffset(x, FD_WIDTH) && src_xy.AddOffset(y, FD_HEIGHT)) {
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61 output->MaxpoolTimeStep(out_t, input, src_xy.t(), max_line);
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62 }
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63 }
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64 }
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65 } while (dest_index.Increment());
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66 }
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68 // Runs backward propagation of errors on the deltas line.
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69 // See NetworkCpp for a detailed discussion of the arguments.
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70 bool Maxpool::Backward(bool debug, const NetworkIO &fwd_deltas, NetworkScratch *scratch,
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71 NetworkIO *back_deltas) {
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72 back_deltas->ResizeToMap(fwd_deltas.int_mode(), back_map_, ni_);
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73 back_deltas->MaxpoolBackward(fwd_deltas, maxes_);
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74 return true;
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75 }
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76
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77 } // namespace tesseract.