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// File: tfnetwork.h
// Description: Encapsulation of an entire tensorflow graph as a
// Tesseract Network.
// Author: Ray Smith
// Created: Fri Feb 26 09:35:29 PST 2016
//
// (C) Copyright 2016, 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_TFNETWORK_H_
#define TESSERACT_LSTM_TFNETWORK_H_
#ifdef INCLUDE_TENSORFLOW
#include <memory>
#include <string>
#include "network.h"
#include "static_shape.h"
#include "tfnetwork.proto.h"
#include "third_party/tensorflow/core/framework/graph.pb.h"
#include "third_party/tensorflow/core/public/session.h"
namespace tesseract {
class TFNetwork : public Network {
public:
explicit TFNetwork(const STRING& name);
virtual ~TFNetwork();
// Returns the required shape input to the network.
virtual StaticShape InputShape() const { return input_shape_; }
// Returns the shape output from the network given an input shape (which may
// be partially unknown ie zero).
virtual StaticShape OutputShape(const StaticShape& input_shape) const {
return output_shape_;
}
virtual STRING spec() const { return spec_.c_str(); }
// Deserializes *this from a serialized TFNetwork proto. Returns 0 if failed,
// otherwise the global step of the serialized graph.
int InitFromProtoStr(const string& proto_str);
// The number of classes in this network should be equal to those in the
// recoder_ in LSTMRecognizer.
int num_classes() const { return output_shape_.depth(); }
// Writes to the given file. Returns false in case of error.
// Should be overridden by subclasses, but called by their Serialize.
virtual bool Serialize(TFile* fp) const;
// Reads from the given file. Returns false in case of error.
// Should be overridden by subclasses, but NOT called by their DeSerialize.
virtual bool DeSerialize(TFile* fp);
// Runs forward propagation of activations on the input line.
// See Network for a detailed discussion of the arguments.
virtual void Forward(bool debug, const NetworkIO& input,
const TransposedArray* input_transpose,
NetworkScratch* scratch, NetworkIO* output);
private:
int InitFromProto();
// The original network definition for reference.
string spec_;
// Input tensor parameters.
StaticShape input_shape_;
// Output tensor parameters.
StaticShape output_shape_;
// The tensor flow graph is contained in here.
std::unique_ptr<tensorflow::Session> session_;
// The serialized graph is also contained in here.
TFNetworkModel model_proto_;
};
} // namespace tesseract.
#endif // ifdef INCLUDE_TENSORFLOW
#endif // TESSERACT_TENSORFLOW_TFNETWORK_H_
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