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larrecodnn
larrecodnn
ImagePatternAlgs
Keras
example_main.cc
Go to the documentation of this file.
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#include "
keras_model.h
"
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#include <iostream>
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using namespace
std
;
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using namespace
keras
;
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// Step 1
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// Dump keras model and input sample into text files
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// python dump_to_simple_cpp.py -a example/my_nn_arch.json -w example/my_nn_weights.h5 -o example/dumped.nnet
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// Step 2
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// Use text files in c++ example. To compile:
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// g++ keras_model.cc example_main.cc
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// To execute:
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// a.out
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int
main
() {
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cout <<
"This is simple example with Keras neural network model loading into C++.\n"
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<<
"Keras model will be used in C++ for prediction only."
<<
endl
;
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DataChunk
*sample =
new
DataChunk2D
();
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sample->
read_from_file
(
"./example/sample_mnist.dat"
);
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std::cout << sample->
get_3d
().size() <<
std::endl
;
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KerasModel
m
(
"./example/dumped.nnet"
);
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m.
compute_output
(sample);
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return
0;
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}
main
int main()
Definition:
example_main.cc:17
keras::KerasModel
Definition:
keras_model.h:214
keras::DataChunk::read_from_file
virtual void read_from_file(const std::string &fname)
Definition:
keras_model.h:50
std
STL namespace.
keras::DataChunk::get_3d
virtual std::vector< std::vector< std::vector< float > > > const & get_3d() const
Definition:
keras_model.h:46
keras::KerasModel::compute_output
std::vector< float > compute_output(keras::DataChunk *dc)
Definition:
keras_model.cc:400
keras::DataChunk
Definition:
keras_model.h:41
keras_model.h
keras
Definition:
keras_model.h:20
cache_state.m
m
Definition:
cache_state.py:415
keras::DataChunk2D
Definition:
keras_model.h:55
endl
QTextStream & endl(QTextStream &s)
Definition:
qtextstream.cpp:2030
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