Home | History | Annotate | Download | only in ctc
      1 /* Copyright 2016 The TensorFlow Authors. All Rights Reserved.
      2 
      3 Licensed under the Apache License, Version 2.0 (the "License");
      4 you may not use this file except in compliance with the License.
      5 You may obtain a copy of the License at
      6 
      7     http://www.apache.org/licenses/LICENSE-2.0
      8 
      9 Unless required by applicable law or agreed to in writing, software
     10 distributed under the License is distributed on an "AS IS" BASIS,
     11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     12 See the License for the specific language governing permissions and
     13 limitations under the License.
     14 ==============================================================================*/
     15 
     16 // Collection of scoring classes that can be extended and provided to the
     17 // CTCBeamSearchDecoder to incorporate additional scoring logic (such as a
     18 // language model).
     19 //
     20 // To build a custom scorer extend and implement the pure virtual methods from
     21 // BeamScorerInterface. The default CTC decoding behavior is implemented
     22 // through BaseBeamScorer.
     23 
     24 #ifndef TENSORFLOW_CORE_UTIL_CTC_CTC_BEAM_SCORER_H_
     25 #define TENSORFLOW_CORE_UTIL_CTC_CTC_BEAM_SCORER_H_
     26 
     27 #include "tensorflow/core/util/ctc/ctc_beam_entry.h"
     28 
     29 namespace tensorflow {
     30 namespace ctc {
     31 
     32 // Base implementation of a beam scorer used by default by the decoder that can
     33 // be subclassed and provided as an argument to CTCBeamSearchDecoder, if complex
     34 // scoring is required. Its main purpose is to provide a thin layer for
     35 // integrating language model scoring easily.
     36 template <typename CTCBeamState>
     37 class BaseBeamScorer {
     38  public:
     39   virtual ~BaseBeamScorer() {}
     40   // State initialization.
     41   virtual void InitializeState(CTCBeamState* root) const {}
     42   // ExpandState is called when expanding a beam to one of its children.
     43   // Called at most once per child beam. In the simplest case, no state
     44   // expansion is done.
     45   virtual void ExpandState(const CTCBeamState& from_state, int from_label,
     46                            CTCBeamState* to_state, int to_label) const {}
     47   // ExpandStateEnd is called after decoding has finished. Its purpose is to
     48   // allow a final scoring of the beam in its current state, before resorting
     49   // and retrieving the TopN requested candidates. Called at most once per beam.
     50   virtual void ExpandStateEnd(CTCBeamState* state) const {}
     51   // GetStateExpansionScore should be an inexpensive method to retrieve the
     52   // (cached) expansion score computed within ExpandState. The score is
     53   // multiplied (log-addition) with the input score at the current step from
     54   // the network.
     55   //
     56   // The score returned should be a log-probability. In the simplest case, as
     57   // there's no state expansion logic, the expansion score is zero.
     58   virtual float GetStateExpansionScore(const CTCBeamState& state,
     59                                        float previous_score) const {
     60     return previous_score;
     61   }
     62   // GetStateEndExpansionScore should be an inexpensive method to retrieve the
     63   // (cached) expansion score computed within ExpandStateEnd. The score is
     64   // multiplied (log-addition) with the final probability of the beam.
     65   //
     66   // The score returned should be a log-probability.
     67   virtual float GetStateEndExpansionScore(const CTCBeamState& state) const {
     68     return 0;
     69   }
     70 };
     71 
     72 }  // namespace ctc
     73 }  // namespace tensorflow
     74 
     75 #endif  // TENSORFLOW_CORE_UTIL_CTC_CTC_BEAM_SCORER_H_
     76