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103 lines
3.7 KiB
C++
103 lines
3.7 KiB
C++
///////////////////////////////////////////////////////////////////////
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// File: tfnetwork.h
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// Description: Encapsulation of an entire tensorflow graph as a
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// Tesseract Network.
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// Author: Ray Smith
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//
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// (C) Copyright 2016, Google Inc.
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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// http://www.apache.org/licenses/LICENSE-2.0
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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///////////////////////////////////////////////////////////////////////
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#ifndef TESSERACT_LSTM_TFNETWORK_H_
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#define TESSERACT_LSTM_TFNETWORK_H_
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#ifdef INCLUDE_TENSORFLOW
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#include <memory>
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#include <string>
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#include "network.h"
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#include "static_shape.h"
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#include "tfnetwork.pb.h"
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#include "tensorflow/core/framework/graph.pb.h"
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#include "tensorflow/core/public/session.h"
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namespace tesseract {
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class TFNetwork : public Network {
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public:
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explicit TFNetwork(const char* name);
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virtual ~TFNetwork() = default;
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// Returns the required shape input to the network.
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StaticShape InputShape() const override { return input_shape_; }
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// Returns the shape output from the network given an input shape (which may
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// be partially unknown ie zero).
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StaticShape OutputShape(const StaticShape& input_shape) const override {
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return output_shape_;
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}
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STRING spec() const override { return spec_.c_str(); }
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// Deserializes *this from a serialized TFNetwork proto. Returns 0 if failed,
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// otherwise the global step of the serialized graph.
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int InitFromProtoStr(const std::string& proto_str);
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// The number of classes in this network should be equal to those in the
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// recoder_ in LSTMRecognizer.
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int num_classes() const { return output_shape_.depth(); }
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// Writes to the given file. Returns false in case of error.
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// Should be overridden by subclasses, but called by their Serialize.
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bool Serialize(TFile* fp) const override;
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// Reads from the given file. Returns false in case of error.
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// Should be overridden by subclasses, but NOT called by their DeSerialize.
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bool DeSerialize(TFile* fp) override;
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// Runs forward propagation of activations on the input line.
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// See Network for a detailed discussion of the arguments.
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void Forward(bool debug, const NetworkIO& input,
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const TransposedArray* input_transpose,
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NetworkScratch* scratch, NetworkIO* output) override;
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private:
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// Runs backward propagation of errors on the deltas line.
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// See Network for a detailed discussion of the arguments.
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bool Backward(bool debug, const NetworkIO& fwd_deltas,
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NetworkScratch* scratch,
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NetworkIO* back_deltas) override {
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tprintf("Must override Network::Backward for type %d\n", type_);
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return false;
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}
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void DebugWeights() override {
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tprintf("Must override Network::DebugWeights for type %d\n", type_);
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}
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int InitFromProto();
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// The original network definition for reference.
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std::string spec_;
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// Input tensor parameters.
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StaticShape input_shape_;
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// Output tensor parameters.
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StaticShape output_shape_;
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// The tensor flow graph is contained in here.
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std::unique_ptr<tensorflow::Session> session_;
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// The serialized graph is also contained in here.
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TFNetworkModel model_proto_;
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};
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} // namespace tesseract.
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#endif // ifdef INCLUDE_TENSORFLOW
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#endif // TESSERACT_TENSORFLOW_TFNETWORK_H_
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