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src/nnet3/nnet-descriptor.h 32.1 KB
8dcb6dfcb   Yannick Estève   first commit
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  // nnet3/nnet-descriptor.h
  
  // Copyright   2012-2015  Johns Hopkins University (author: Daniel Povey)
  
  // See ../../COPYING for clarification regarding multiple authors
  //
  // 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
  //
  // THIS CODE IS PROVIDED *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
  // KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
  // WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
  // MERCHANTABLITY OR NON-INFRINGEMENT.
  // See the Apache 2 License for the specific language governing permissions and
  // limitations under the License.
  
  #ifndef KALDI_NNET3_NNET_DESCRIPTOR_H_
  #define KALDI_NNET3_NNET_DESCRIPTOR_H_
  
  #include "base/kaldi-common.h"
  #include "util/kaldi-io.h"
  #include "matrix/matrix-lib.h"
  #include "nnet3/nnet-common.h"
  #include "nnet3/nnet-component-itf.h"
  
  #include <iostream>
  #include <sstream>
  #include <vector>
  #include <map>
  
  
  namespace kaldi {
  namespace nnet3 {
  
  /**
     \file nnet-descriptor.h
  
     This file contains class definitions for classes ForwardingDescriptor,
     SumDescriptor and Descriptor.  Basically this is code that specifies how
     we glue together the outputs of possibly several other network-nodes, as the
     input of a particular network node (or as an output of the network).  In the
     neural-network code we refer to the top-level descriptor which is
     Descriptor.  The InputDescriptor is a concatenation of features; each part
     is a SumDescriptor.  The SumDescriptor is a summation over a set of features
     of all the same dimension, each of which is represented by a
     ForwardingDescriptor.  A ForwardingDescriptor in the simplest case just
     takes just points you to a particular network node, but in general can do
     things like adding time offsets, and selecting different rows of its matrix
     from different inputs.  Unlike the other descriptors, a ForwardingDescriptor
     is in general a bit like a parse tree, in that it can in general contain
     other ForwardingDescriptors.
  
     The following gives an overview of the expressions that can appear in
     descriptors.  Caution; this is a simplification that overgenerates
     descriptors: not all combinations are allowed.
  \verbatim
  <descriptor>  ::=   <node-name>      ;; node name of kInput or kComponent node.
  <descriptor>  ::=   Append(<descriptor>, <descriptor> [, <descriptor> ... ] )
  <descriptor>  ::=   Sum(<descriptor>, <descriptor>)
  <descriptor>  ::=   Const(<value>, <dimension>)    ;; e.g. Const(1.0, 512)
  <descriptor>  ::=   Scale(<scale>, <descriptor>)   ;; e.g. Scale(-1.0, tdnn2)
  ;; Failover or IfDefined might be useful for time t=-1 in a RNN, for instance.
  <descriptor>  ::=   Failover(<descriptor>, <descriptor>)   ;; 1st arg if computable, else 2nd
  <descriptor>  ::=   IfDefined(<descriptor>)     ;; the arg if defined, else zero.
  <descriptor>  ::=   Offset(<descriptor>, <t-offset> [, <x-offset> ] ) ;; offsets are integers
  ;; Switch(...) is intended to be used in clockwork RNNs or similar schemes.  It chooses
  ;; one argument based on the value of t (in the requested Index) modulo the number of
  ;; arguments
  <descriptor>  ::=   Switch(<descriptor>, <descriptor> [, <descriptor> ...])
  ;; For use in clockwork RNNs or similar, Round() rounds the time-index t of the
  ;; requested Index to the next-lowest multiple of the integer <t-modulus>,
  ;; and evaluates the input argument for the resulting Index.
  <descriptor>  ::=   Round(<descriptor>, <t-modulus>)  ;; <t-modulus> is an integer
  ;; ReplaceIndex replaces some <variable-name> (t or x) in the requested Index
  ;; with a fixed integer <value>.  E.g. might be useful when incorporating
  ;; iVectors; iVector would always have time-index t=0.
  <descriptor>  ::=   ReplaceIndex(<descriptor>, <variable-name>, <value>)
  \endverbatim
  
   */
  
  
  
  /// A ForwardingDescriptor describes how we copy data from another NetworkNode,
  /// or from multiple other NetworkNodes, possibly with a scalar weight.  In the
  /// base case this can just be equivalent to giving the name of another
  /// NetworkNode, but we also support things like time-offsets, selecting
  /// depending on the index from multiple different inputs, and things like that.
  ///
  /// Note: nodes of type kOutput (i.e. output nodes of the network) cannot appear
  /// as inputs in any descriptor.  This is to simplify compilation.
  class ForwardingDescriptor {
   public:
    // Given an Index that's requested at the output of this descriptor, maps it
    // to a (node_index, Index) pair that says where we are to get the data from.
    //
    virtual Cindex MapToInput(const Index &output) const = 0;
  
    // Return the feature dimension.
    virtual int32 Dim(const Nnet &nnet) const = 0;
  
    virtual ForwardingDescriptor *Copy() const = 0;
  
    /// This function is for use in things like clockwork RNNs, where shifting the
    /// time of the inputs and outputs of the network by some multiple integer n
    /// would leave things the same, but shifting by non-multiples would change the
    /// network structure.  It returns the smallest modulus to which this
    /// descriptor is invariant; the lowest common multiple of all descriptors in
    /// the network gives you the modulus for the whole network.
    virtual int32 Modulus() const { return 1; }
  
    // Write to string that will be one line of a config-file-like format.  The
    // opposite of Parse.
    virtual void WriteConfig(std::ostream &os,
                             const std::vector<std::string> &node_names) const = 0;
  
    /// This function appends to "node_indexes" all the node indexes
    // that this descriptor may access.
    virtual void GetNodeDependencies(std::vector<int32> *node_indexes) const = 0;
  
    /// This function returns the scale on the node-index 'node_index' when it
    /// appears in expressions inside this descriptor, or +infinity if it does not
    /// appear.  E.g. if the descriptor is just `Scale(tdnn2, 2.0)` and the node
    /// index for `tdnn2` is 4, then GetScaleForNode(4) would return 2.0.  If a
    /// particular node_index > 0 appears in different sub-expressions of the
    /// descriptor with different scales it is an error (it's not supported) and
    /// this function would crash.
    virtual BaseFloat GetScaleForNode(int32 node_index) const = 0;
  
    virtual ~ForwardingDescriptor() { }
    ForwardingDescriptor() { }
   private:
    KALDI_DISALLOW_COPY_AND_ASSIGN(ForwardingDescriptor);
  };
  
  /// SimpleForwardingDescriptor is the base-case of ForwardingDescriptor,
  /// consisting of a source node in the graph with a given scalar weight (which
  /// will in the normal case be 1.0).  The string representation in the
  /// normal (scale=1.0) case is just the node-name, like `tdnn2`; if
  /// the weight is not 1.0 it's something like `Scale(2.0, tdnn2)`
  class SimpleForwardingDescriptor: public ForwardingDescriptor {
   public:
    virtual Cindex MapToInput(const Index &index) const;
    virtual int32 Dim(const Nnet &nnet) const;
    virtual ForwardingDescriptor *Copy() const;
    virtual void GetNodeDependencies(std::vector<int32> *node_indexes) const;
    virtual BaseFloat GetScaleForNode(int32 node_index) const;
  
    // Write to string that will be one line of a config-file-like format.  The
    // opposite of Parse.
    // written form is just the node-name of src_node_.
    virtual void WriteConfig(std::ostream &os,
                             const std::vector<std::string> &node_names) const;
  
    SimpleForwardingDescriptor(int32 src_node,
                               BaseFloat scale = 1.0):
        src_node_(src_node), scale_(scale) {
      KALDI_ASSERT(src_node >= 0);
    }
    virtual ~SimpleForwardingDescriptor() { }
   private:
    int32 src_node_;  // index of the source NetworkNode.
    BaseFloat scale_;  // Scale of the node in the expression; this will be 1.0
                       // unless you used a Scale(...) expression in your
                       // Descriptor.
  };
  
  /// Offsets in 't' and 'x' values of other ForwardingDescriptors.
  /// Written form is:
  ///   `Offset(<descriptor>, <t-offset> [, <x-offset> ] )`
  /// e.g. `Offset(tdnn2, -2)`
  class OffsetForwardingDescriptor: public ForwardingDescriptor {
   public:
    virtual Cindex MapToInput(const Index &ind) const;
    virtual int32 Dim(const Nnet &nnet) const { return src_->Dim(nnet); }
    virtual ForwardingDescriptor *Copy() const;
  
    // written form is: Offset(<src-written-form>, t-offset [, x-offset])
    virtual void WriteConfig(std::ostream &os,
                             const std::vector<std::string> &node_names) const;
  
    virtual int32 Modulus() const { return src_->Modulus(); }
  
    virtual void GetNodeDependencies(std::vector<int32> *node_indexes) const;
    virtual BaseFloat GetScaleForNode(int32 node_index) const;
  
    // takes ownership of src.
    OffsetForwardingDescriptor(ForwardingDescriptor *src,
                               Index offset): src_(src), offset_(offset) { }
  
    virtual ~OffsetForwardingDescriptor() { delete src_; }
  
  
    // this function is not in the shared interface. it's used
    // in class ModelCollapser.
    const ForwardingDescriptor &Src() const { return *src_; }
   private:
    ForwardingDescriptor *src_;  // Owned here.
    Index offset_;  // The index-offset to be added to the index.
  };
  
  /// Chooses from different inputs based on the the time index modulo
  /// (the number of ForwardingDescriptors given as inputs).  This is rarely
  /// if ever used.  Written form is:
  ///  `Switch(<descriptor>, <descriptor> [, <descriptor> ...])`
  /// e.g. `Switch(tdnn2a, tdnn2b, tdnn2c)`
  class SwitchingForwardingDescriptor: public ForwardingDescriptor {
   public:
    virtual Cindex MapToInput(const Index &ind) const;
    virtual int32 Dim(const Nnet &nnet) const { return src_[0]->Dim(nnet); }
    virtual ForwardingDescriptor *Copy() const;
    // Written form is "Switch(<written-form-of-src1>, <written-form-of-src2>, ... )"
    virtual void WriteConfig(std::ostream &os,
                            const std::vector<std::string> &node_names) const;
  
    virtual int32 Modulus() const;
  
    /// This function appends to "node_indexes" all the node indexes
    // that this descriptor may access.
    virtual void GetNodeDependencies(std::vector<int32> *node_indexes) const;
    virtual BaseFloat GetScaleForNode(int32 node_index) const;
  
    // takes ownership of items in src.
    SwitchingForwardingDescriptor(std::vector<ForwardingDescriptor*> &src):
        src_(src) { }
    virtual ~SwitchingForwardingDescriptor() { DeletePointers(&src_); }
   private:
    // Pointers are owned here.
    std::vector<ForwardingDescriptor*> src_;
  };
  
  
  
  /// For use in clockwork RNNs and the like, this forwarding-descriptor
  /// rounds the time-index t down to the the closest t' <= t that is
  /// an exact multiple of t_modulus_.
  /// Written form is: `Round(<descriptor>, <t-modulus>)`
  /// e.g.: `Round(tdnn2, 3)`
  class RoundingForwardingDescriptor: public ForwardingDescriptor {
   public:
    virtual Cindex MapToInput(const Index &ind) const;
    virtual int32 Dim(const Nnet &nnet) const { return src_->Dim(nnet); }
    virtual ForwardingDescriptor *Copy() const;
    // Written form is "Round(<written-form-of-src>, <t_modulus>)"
    virtual void WriteConfig(std::ostream &os,
                            const std::vector<std::string> &node_names) const;
  
    virtual int32 Modulus() const { return t_modulus_; }
  
    /// This function appends to "node_indexes" all the node indexes
    // that this descriptor may access.
    virtual void GetNodeDependencies(std::vector<int32> *node_indexes) const;
    virtual BaseFloat GetScaleForNode(int32 node_index) const;
  
    // takes ownership of src.
    RoundingForwardingDescriptor(ForwardingDescriptor *src,
                                 int32 t_modulus):
        src_(src), t_modulus_(t_modulus) { }
  
    virtual ~RoundingForwardingDescriptor() { delete src_; }
   private:
    ForwardingDescriptor *src_;
    int32 t_modulus_;
  };
  
  /// This ForwardingDescriptor modifies the indexes (n, t, x) by replacing one
  /// of them (normally t) with a constant value and keeping the rest.
  /// Written form is: `ReplaceIndex(<descriptor>, <variable-name>, <value>)`
  /// e.g. `ReplaceIndex(ivector, t, 0)`
  class ReplaceIndexForwardingDescriptor: public ForwardingDescriptor {
   public:
    enum VariableName { kN = 0, kT = 1, kX = 2};
  
    virtual Cindex MapToInput(const Index &ind) const;
    virtual int32 Dim(const Nnet &nnet) const { return src_->Dim(nnet); }
    virtual ForwardingDescriptor *Copy() const;
    // Written form is "ReplaceIndex(<written-form-of-src>, <variable-name>, <value>)"
    // where <variable-name> is either "t" or "x".
    virtual void WriteConfig(std::ostream &os,
                            const std::vector<std::string> &node_names) const;
  
    /// This function appends to "node_indexes" all the node indexes
    // that this descriptor may access.
    virtual void GetNodeDependencies(std::vector<int32> *node_indexes) const;
    virtual BaseFloat GetScaleForNode(int32 node_index) const;
  
    // takes ownership of src.
    ReplaceIndexForwardingDescriptor(ForwardingDescriptor *src,
                                     VariableName variable_name,
                                     int32 value):
        src_(src), variable_name_(variable_name), value_(value) { }
  
    virtual ~ReplaceIndexForwardingDescriptor() { delete src_; }
   private:
    ForwardingDescriptor *src_;
    VariableName variable_name_;
    int32 value_;
  };
  
  
  /// Forward declaration.  This is declared in nnet-computation-graph.h.
  class CindexSet;
  
  /// This is an abstract base-class.  In the normal case a SumDescriptor is a sum
  /// over one or more ForwardingDescriptors (all of which must be of the same
  /// dimension).  However, it also allows for logic for dealing with cases where
  /// only some terms in the sum are present, and only some are included in the
  /// sum: for example, not just expressions like A + B but also A + (B if
  /// present), or (A if present; if not, B).  It also handles
  /// expressions involving adding a constant, e.g.
  /// `Sum(Scale(tdnn2, -1.0), Const(1.0, 512))` (see ConstantSumDescriptor).
  class SumDescriptor {
   public:
    /// Given an Index at the output of this Descriptor, append to "dependencies"
    /// a list of Cindexes that describes what inputs we potentially depend on.
    /// The output list is not necessarily sorted, and this function doesn't make
    /// sure that it's unique.
    virtual void GetDependencies(const Index &ind,
                                 std::vector<Cindex> *dependencies) const = 0;
  
    /// This function exists to enable us to manage optional dependencies,
    /// i.e. for making sense of expressions like (A + (B is present)) and (A if
    /// present; if not, B).  Suppose we are trying to compute the index "ind",
    /// and the user represents that "cindex_set" is the set of Cindexes are
    /// available to the computation; then this function will return true if we
    /// can compute the expression given these inputs; and if so, will output to
    /// "used_inputs" the list of Cindexes that this expression will be a
    /// summation over.
    ///
    ///  @param [in] ind  The index that we want to compute at the output of the
    ///                   Descriptor.
    ///  @param [in] cindex_set  The set of Cindexes that are available at the
    ///                   input of the Descriptor.
    ///  @param [out] used_inputs If non-NULL, if this function returns true then
    ///                  to this vector will be *appended* the inputs that will
    ///                  actually participate in the computation.  Else (if non-NULL) it
    ///                  will be left unchanged.
    ///  @return Returns true if this output is computable given the provided
    ///          inputs.
    virtual bool IsComputable(const Index &ind,
                              const CindexSet &cindex_set,
                              std::vector<Cindex> *used_inputs) const = 0;
  
    virtual int32 Dim(const Nnet &nnet) const = 0;
  
    virtual SumDescriptor *Copy() const = 0;
  
    virtual ~SumDescriptor() { }
  
    /// This function appends to "node_indexes" a list (not necessarily sorted or
    /// unique) of all the node indexes that this descriptor may forward data from.
    virtual void GetNodeDependencies(std::vector<int32> *node_indexes) const = 0;
  
    /// This function returns the scale on the node-index 'node_index' when it
    /// appears in expressions inside this descriptor.  E.g. if the descriptor is
    /// just `Scale(tdnn2, 2.0)` and the node index for `tdnn2` is 4, then
    /// GetScaleForNode(4) would return 2.0.  It will return +infinity if the node
    /// is >= 0 and does not appear in this descriptor.  If node_index < 0, it
    /// returns the constant offset value from this descriptor, which will equal
    /// 0.0 if there is no expression like `Const(1.0, 512)` in this node.  If a
    /// particular node_index > 0 appears in different sub-expressions of the
    /// descriptor with different scales it is an error (it's not supported) and
    /// this function would crash.
    virtual BaseFloat GetScaleForNode(int32 node_index) const = 0;
  
    // see Modulus function of ForwardingDescriptor for explanation.
    virtual int32 Modulus() const = 0;
  
    /// Write in config-file format.  Conventional Read and Write methods are not
    /// supported.
    virtual void WriteConfig(std::ostream &os,
                             const std::vector<std::string> &node_names) const = 0;
  };
  
  /// This is the case of class SumDescriptor, in which we contain just one term,
  /// and that term is optional (an IfDefined() expression).  That term is a
  /// general SumDescriptor.
  ///  The written form is: `IfDefined(<descriptor>)`, e.g.
  ///   `IfDefined(Offset(lstm2.s, -3))`
  class OptionalSumDescriptor: public SumDescriptor {
   public:
    virtual void GetDependencies(const Index &ind,
                                 std::vector<Cindex> *dependencies) const;
    virtual bool IsComputable(const Index &ind,
                              const CindexSet &cindex_set,
                              std::vector<Cindex> *used_inputs) const {
        return src_->IsComputable(ind, cindex_set, used_inputs) || true;
    }
  
    virtual int32 Dim(const Nnet &nnet) const;
  
    // This function appends to "node_indexes" a list (not necessarily sorted or
    // unique) of all the node indexes that this descriptor may forward data from.
    virtual void GetNodeDependencies(std::vector<int32> *node_indexes) const;
    virtual BaseFloat GetScaleForNode(int32 node_index) const;
    virtual int32 Modulus() const { return src_->Modulus(); }
    /// written form is: if required_ == true, "<written-form-of-src>"
    /// else "IfDefined(<written-form-of-src>)".
    virtual void WriteConfig(std::ostream &os,
                             const std::vector<std::string> &node_names) const;
    virtual SumDescriptor *Copy() const;
  
    OptionalSumDescriptor(SumDescriptor *src): src_(src) { }
    virtual ~OptionalSumDescriptor() { delete src_; }
   private:
    SumDescriptor *src_;
  };
  
  /// This is the normal base-case of SumDescriptor which just wraps a
  /// ForwardingDescriptor.  The written form is any valid ForwardingDescriptor,
  /// e.g. in the simplest case just `tdnn3`.
  /// See also ConstantSumDescriptor().
  class SimpleSumDescriptor: public SumDescriptor {
   public:
    virtual void GetDependencies(const Index &ind,
                                 std::vector<Cindex> *dependencies) const;
    virtual bool IsComputable(const Index &ind,
                              const CindexSet &cindex_set,
                              std::vector<Cindex> *used_inputs) const;
    virtual int32 Dim(const Nnet &nnet) const;
  
    virtual BaseFloat GetScaleForNode(int32 node_index) const;
  
    // This function appends to "node_indexes" a list (not necessarily sorted or
    // unique) of all the node indexes that this descriptor may forward data from.
    virtual void GetNodeDependencies(std::vector<int32> *node_indexes) const;
    virtual int32 Modulus() const { return src_->Modulus(); }
    /// written form is: if required_ == true, "<written-form-of-src>"
    /// else "IfDefined(<written-form-of-src>)".
    virtual void WriteConfig(std::ostream &os,
                             const std::vector<std::string> &node_names) const;
    virtual SumDescriptor *Copy() const;
  
    SimpleSumDescriptor(ForwardingDescriptor *src): src_(src) { }
    virtual ~SimpleSumDescriptor() { delete src_; }
  
    // this function is not in the shared interface. it's used
    // in class ModelCollapser.
    const ForwardingDescriptor &Src() const { return *src_; }
   private:
    ForwardingDescriptor *src_;
  };
  
  
  /// This is an alternative base-case of SumDescriptor (an alternative to
  /// SimpleSumDescriptor) which represents a constant term, e.g. `Const(1.0,
  /// 512)`.  Note that this is not allowed to appear inside conditionals
  /// such as IfDefined() or Failover(); this is enforced in the parsing
  /// code involving class GeneralDescriptor.
  /// The written form is: `Const(<value>, <dimension>)`, e.g.
  /// `Const(-1.0, 512)`
  class ConstantSumDescriptor: public SumDescriptor {
   public:
    virtual void GetDependencies(const Index &ind,
                                 std::vector<Cindex> *dependencies) const { }
    virtual bool IsComputable(const Index &ind,
                              const CindexSet &cindex_set,
                              std::vector<Cindex> *used_inputs) const {
      return true;
    }
    virtual int32 Dim(const Nnet &nnet) const { return dim_; }
    virtual BaseFloat GetScaleForNode(int32 node_index) const;
  
    virtual void GetNodeDependencies(std::vector<int32> *node_indexes) const { }
    virtual int32 Modulus() const { return 1; }
    /// The written form is: `Const(<value>, <dimension>)`, e.g.
    /// `Const(-1.0, 512)`
    virtual void WriteConfig(std::ostream &os,
                             const std::vector<std::string> &node_names) const;
    virtual SumDescriptor *Copy() const;
  
    ConstantSumDescriptor(BaseFloat value, int32 dim);
    virtual ~ConstantSumDescriptor() {}
   private:
    BaseFloat value_;
    int32 dim_;
  };
  
  /// BinarySumDescriptor can represent either A + B, or (A if defined, else B).
  /// Other expressions such as A + (B if defined, else zero), (A if defined, else
  /// zero) + (B if defined, else zero), and (A if defined, else B if defined,
  /// else zero) can be expressed using combinations of the two provided options
  /// for BinarySumDescriptor and the variant
  class BinarySumDescriptor: public SumDescriptor {
   public:
    enum Operation {
      kSumOperation,  // A + B
      kFailoverOperation, // A if defined, else B.
    };
    virtual void GetDependencies(const Index &ind,
                                 std::vector<Cindex> *dependencies) const;
    virtual bool IsComputable(const Index &ind,
                              const CindexSet &cindex_set,
                              std::vector<Cindex> *used_inputs) const;
    virtual int32 Dim(const Nnet &nnet) const;
    virtual BaseFloat GetScaleForNode(int32 node_index) const;
  
    // This function appends to "node_indexes" a list (not necessarily sorted or
    // unique) of all the node indexes that this descriptor may forward data from.
    virtual void GetNodeDependencies(std::vector<int32> *node_indexes) const;
    virtual int32 Modulus() const;
    /// Written form is: if op_ == kSum then "Sum(<src1>, <src2>)";
    /// if op_ == kFailover, then "Failover(<src1>, <src2>)"
    /// If you need more than binary operations, just use Sum(a, Sum(b, c)).
    virtual void WriteConfig(std::ostream &os,
                             const std::vector<std::string> &node_names) const;
    virtual SumDescriptor *Copy() const;
    BinarySumDescriptor(Operation op, SumDescriptor *src1, SumDescriptor *src2):
        op_(op), src1_(src1), src2_(src2) {}
    virtual ~BinarySumDescriptor() { delete src1_; delete src2_; }
   private:
    Operation op_;
    SumDescriptor *src1_;
    SumDescriptor *src2_;
  };
  
  
  // A Descriptor concatenates over its parts, so its feature-dimension will
  // be the sum of the feature-dimensions of its parts.  In a valid Descriptor,
  // "parts" will be nonempty.  Each part may be (in general) a summation, but
  // usually a summation with just one term.
  class Descriptor {
   public:
    int32 Dim(const Nnet &nnet) const;
  
    // The Parse method is used for reading a config-file-style represenation.
    // Internally this uses class GeneralDescriptor to read and normalize the
    // input.  Assumes the input has already been tokenized into an array of
    // strings by DescriptorTokenize(); it moves the begin-pointer "next_token" to
    // account for each token that it consumes.  Prints warning and returns false on
    // error (including if there was junk after the last token).  The input tokens
    // should be terminated with a token that says "end of input".
    bool Parse(const std::vector<std::string> &node_names,
               const std::string **next_token);
  
    // Write in config-file format.
    // if parts_.size() == 1, written form is just "<written-form-of-part0>"
    // otherwise, written form is "Append(<written-form-of-part0>, <written-form-of-part1>,  ... )".
    void WriteConfig(std::ostream &os,
                     const std::vector<std::string> &node_names) const;
  
    /// This function exists to enable us to manage optional dependencies,
    /// i.e. for making sense of expressions like (A + (B is present)) and (A if
    /// present; if not, B).  Suppose we are trying to compute the index "ind",
    /// and the user represents that "cindex_set" is the set of Cindexes are
    /// available to the computation; then this function will return true if we
    /// can compute the expression given these inputs; and if so, will output to
    /// "used_inputs" the list of Cindexes (not necessarily unique) that this
    /// expression will include.  Otherwise it will return false and set
    /// used_inputs to the empty vector.
    ///
    ///  @param [in] ind  The index that we want to compute at the output of the
    ///                   Descriptor.
    ///  @param [in] cindex_set  The set of Cindexes that are available at the
    ///                   input of the Descriptor.
    ///  @param [out] used_inputs If non-NULL, if this function returns true then
    ///                  to this vector will be *appended* the inputs that will
    ///                  actually participate in the computation.  Else (if non-NULL) it
    ///                  will be left unchanged.
    ///  @return Returns true if this output is computable given the provided
    ///          inputs.
    void GetDependencies(const Index &index,
                         std::vector<Cindex> *used_inputs) const;
  
    /// Has the same purpose and interface as the IsComputable function of the
    /// SumDescriptor function.   Outputs to used_inputs rather than appending
    /// to it, though.  used_inputs will not be sorted or have repeats removed.
    bool IsComputable(const Index &ind,
                      const CindexSet &cindex_set,
                      std::vector<Cindex> *used_inputs) const;
  
    // This function outputs to "node_indexes" a list (not necessarily sorted or
    // unique) of all the node indexes that this descriptor may forward data from.
    void GetNodeDependencies(std::vector<int32> *node_indexes) const;
  
    // see Modulus function of ForwardingDescriptor for explanation.
    int32 Modulus() const;
  
    /// Returns the number of parts that are concatenated over.
    int32 NumParts() const { return parts_.size(); }
    /// returns the n'th part.
    const SumDescriptor &Part(int32 n) const;
  
    Descriptor() { }
    /// Copy constructor
    Descriptor(const Descriptor &other) { *this = other; }
    /// Assignment operator.
    Descriptor &operator = (const Descriptor &other);
    /// Takes ownership of pointers in "parts".
    Descriptor(const std::vector<SumDescriptor*> &parts):
        parts_(parts) { }
    /// Destructor
    ~Descriptor() { Destroy(); }
   private:
    void Destroy();
    // the elements of parts_ are owned here.
    std::vector<SumDescriptor*> parts_;
  };
  
  
  /**
     This class is only used when parsing Descriptors.  It is useful for normalizing
     descriptors that are structured in an invalid or redundant way, into a
     form that can be turned into a real Descriptor.
   */
  struct GeneralDescriptor {
    enum DescriptorType { kAppend, kSum, kFailover, kIfDefined, kOffset, kSwitch,
                          kRound, kReplaceIndex, kScale, kConst, kNodeName };
  
    // The Parse method is used for reading a config-file-style represenation.
    // Assumes the input has already been tokenized into an array of strings, and
    // it moves the begin-pointer "next_token" to account for token that it
    // consumes.  Calls KALDI_ERR on error.  The list of tokens should be
    // terminated with a string saying "end of input".  Does not check that all
    // the input has been consumed-- the caller should do that [check that
    // **next_token == "end of input" after calling.]
    static GeneralDescriptor *Parse(const std::vector<std::string> &node_names,
                                    const std::string **next_token);
  
    explicit GeneralDescriptor(DescriptorType t, int32 value1 = -1,
                               int32 value2 = -1, BaseFloat alpha = 0.0):
        descriptor_type_(t), value1_(value1), value2_(value2),
        alpha_(alpha) { }
  
  
    ~GeneralDescriptor() { DeletePointers(&descriptors_); }
  
    GeneralDescriptor *GetNormalizedDescriptor() const;
  
    Descriptor *ConvertToDescriptor();
  
    // prints in text form-- this is really only used for debug.
    void Print(const std::vector<std::string> &node_names,
               std::ostream &os);
  
   private:
    KALDI_DISALLOW_COPY_AND_ASSIGN(GeneralDescriptor);
  
    DescriptorType descriptor_type_;
  
    // value1_ is only relevant if:
    //    (a) descriptor_type_ == kReplaceIndex (value1_ is 1 for t, 2 for x)
    //    (b) descriptor_type_ == kNodeName (value1_ is the index of the node)
    //    (c) descriptor_type_ == kOffset (value1_ is the t offset).
    //    (d) descriptor_type_ == kConst (value1_ is the dimension and alpha_
    //                                   is the value).
    int32 value1_;
    // value2_ is only relevant if
    //    (a) descriptor_type == kReplaceIndex (value2_ is the value
    //                                          we replace the index with).
    //    (b) descriptor_type_ == kOffset (value2_ is the x offset)
    int32 value2_;
  
    // alpha is only relevant if
    //  (a) descriptor_type == kScale, and this will be the scaling factor.
    //  (b) descriptor_type == kConst; this is the value, and value1_ is set to the
    //          dimension.
    BaseFloat alpha_;
  
    // For any descriptor types that take args of type kDescriptor, a list of those
    // args.  Pointers owned here.
    std::vector<GeneralDescriptor*> descriptors_;
  
    //  parses an Append() or Sum() or Switch() expression after the "Append(" or
    //  "Sum(" or "Switch(" has been read.
    void ParseAppendOrSumOrSwitch(const std::vector<std::string> &node_names,
                                  const std::string **next_token);
    // parse an IfDefined() expression after the IfDefined( has already been
    // read.
    void ParseIfDefined(const std::vector<std::string> &node_names,
                        const std::string **next_token);
    // ... and so on.
    void ParseOffset(const std::vector<std::string> &node_names,
                     const std::string **next_token);
    void ParseSwitch(const std::vector<std::string> &node_names,
                     const std::string **next_token);
    void ParseFailover(const std::vector<std::string> &node_names,
                       const std::string **next_token);
    void ParseRound(const std::vector<std::string> &node_names,
                    const std::string **next_token);
    void ParseScale(const std::vector<std::string> &node_names,
                    const std::string **next_token);
    void ParseConst(const std::vector<std::string> &node_names,
                    const std::string **next_token);
    void ParseReplaceIndex(const std::vector<std::string> &node_names,
                           const std::string **next_token);
  
  
  
    // Used inside NormalizeAppend().  Return the number of terms there
    // would be in a single consolidated Append() expressions, and asserts that in
    // whichever branch of any other expressions we take, the number of terms is
    // the same.
    int32 NumAppendTerms() const;
    // Used inside NormalizeAppend().  Gets one of the appended terms from this
    // descriptor, with 0 <= term < NumAppendTerms().  Answer is newly allocated.
    GeneralDescriptor *GetAppendTerm(int32 term) const;
  
  
    // Normalizes w.r.t. Append expressions by moving Append() to the outside.
    // Called only at the top level.
    GeneralDescriptor *NormalizeAppend() const;
  
    // This call does all other types of normalization except for normalizing
    // Append() expressions (which is assumed to have been done already).  Returns
    // true if anything was changed.
    static bool Normalize(GeneralDescriptor *ptr);
  
    SumDescriptor *ConvertToSumDescriptor() const;
    ForwardingDescriptor *ConvertToForwardingDescriptor() const;
  
  };
  
  
  
  
  } // namespace nnet3
  } // namespace kaldi
  
  #endif