#!/bin/bash
  # Copyright 2012  Johns Hopkins University (Author: Daniel Povey).  Apache 2.0.
  #                 Korbinian Riedhammer
  
  # Create denominator lattices for MMI/MPE training, with SGMM models.  If the
  # features have fMLLR transforms you have to supply the --transform-dir option.
  # It gets any speaker vectors from the "alignment dir" ($srcdir).  Note: this is
  # possibly a slight mismatch because the speaker vectors come from supervised
  # adaptation.
  
  # Begin configuration section.
  nj=4
  cmd=run.pl
  sub_split=1
  beam=13.0
  lattice_beam=7.0
  acwt=0.1
  max_active=5000
  transform_dir=
  max_mem=20000000 # This will stop the processes getting too large.
  # End configuration section.
  
  echo "$0 $@"  # Print the command line for logging
  
  [ -f ./path.sh ] && . ./path.sh; # source the path.
  . parse_options.sh || exit 1;
  
  if [ $# != 5 ]; then
     echo "Usage: steps/tandem/make_denlats_sgmm2.sh [options] <data1-dir> <data2-dir> <lang-dir> <src-dir|srcdir> <exp-dir>"
     echo "  e.g.: steps/tandem/make_denlats_sgmm2.sh {mfcc,bottleneck}/data1/train data1/lang exp/sgmm4a_ali exp/sgmm4a_denlats"
     echo "Works for (delta|lda) features, and (with --transform-dir option) such features"
     echo " plus transforms."
     echo ""
     echo "Main options (for others, see top of script file)"
     echo "  --config <config-file>                           # config containing options"
     echo "  --nj <nj>                                        # number of parallel jobs"
     echo "  --cmd (utils/run.pl|utils/queue.pl <queue opts>) # how to run jobs."
     echo "  --sub-split <n-split>                            # e.g. 40; use this for "
     echo "                           # large databases so your jobs will be smaller and"
     echo "                           # will (individually) finish reasonably soon."
     echo "  --transform-dir <transform-dir>   # directory to find fMLLR transforms."
     exit 1;
  fi
  
  data1=$1
  data2=$2
  lang=$3
  srcdir=$4 # could also be $srcdir, but only if no vectors supplied.
  dir=$5
  
  mkdir -p $dir/log
  echo $nj > $dir/num_jobs
  
  sdata1=$data1/split$nj
  sdata2=$data2/split$nj
  [[ -d $sdata1 && $data1/feats.scp -ot $sdata1 ]] || split_data.sh $data1 $nj || exit 1;
  [[ -d $sdata2 && $data2/feats.scp -ot $sdata2 ]] || split_data.sh $data2 $nj || exit 1;
  
  oov=`cat $lang/oov.int` || exit 1;
  
  mkdir -p $dir
  
  cp -r $lang $dir/
  
  # Compute grammar FST which corresponds to unigram decoding graph.
  
  cat $data1/text | utils/sym2int.pl --map-oov $oov -f 2- $lang/words.txt | \
    awk '{for(n=2;n<=NF;n++){ printf("%s ", $n); } printf("
  "); }' | \
    utils/make_unigram_grammar.pl | fstcompile > $dir/lang/G.fst \
     || exit 1;
  
  # mkgraph.sh expects a whole directory "lang", so put everything in one directory...
  # it gets L_disambig.fst and G.fst (among other things) from $dir/lang, and
  # final.mdl from $srcdir; the output HCLG.fst goes in $dir/graph.
  
  if [ -s $dir/dengraph/HCLG.fst ]; then
     echo "Graph $dir/dengraph/HCLG.fst already exists: skipping graph creation."
  else
    utils/mkgraph.sh $dir/lang $srcdir $dir/dengraph || exit 1;
  fi
  
  
  ## Set up features.
  splice_opts=`cat $srcdir/splice_opts 2>/dev/null` # frame-splicing options.
  normft2=`cat $srcdir/normft2 2>/dev/null`
  
  if [ -f $srcdir/final.mat ]; then feat_type=lda; else feat_type=delta; fi
  
  case $feat_type in
    delta) 
    	echo "$0: feature type is $feat_type"
    	;;
    lda) 
  	  echo "$0: feature type is $feat_type"
      cp $srcdir/{lda,final}.mat $dir/ || exit 1;
      ;;
    *) echo "$0: invalid feature type $feat_type" && exit 1;
  esac
  
  # set up feature stream 1;  this are usually spectral features, so we will add
  # deltas or splice them
  feats1="ark,s,cs:apply-cmvn --norm-vars=false --utt2spk=ark:$sdata1/JOB/utt2spk scp:$sdata1/JOB/cmvn.scp scp:$sdata1/JOB/feats.scp ark:- |"
  
  if [ "$feat_type" == "delta" ]; then
    feats1="$feats1 add-deltas ark:- ark:- |"
  elif [ "$feat_type" == "lda" ]; then
    feats1="$feats1 splice-feats $splice_opts ark:- ark:- | transform-feats $dir/lda.mat ark:- ark:- |"
  fi
  
  # set up feature stream 2;  this are usually bottleneck or posterior features, 
  # which may be normalized if desired
  feats2="scp:$sdata2/JOB/feats.scp"
  
  if [ "$normft2" == "true" ]; then
    feats2="ark,s,cs:apply-cmvn --norm-vars=false --utt2spk=ark:$sdata2/JOB/utt2spk scp:$sdata2/JOB/cmvn.scp $feats2 ark:- |"
  fi
  
  # assemble tandem features
  feats="ark,s,cs:paste-feats '$feats1' '$feats2' ark:- |"
  
  # add transformation, if applicable
  if [ "$feat_type" == "lda" ]; then
    feats="$feats transform-feats $dir/final.mat ark:- ark:- |"
  fi
  
  # splicing/normalization options
  cp $srcdir/{splice_opts,normft2,tandem} $dir 2>/dev/null
  
  if [ ! -z "$transform_dir" ]; then # add transforms to features...
    echo "$0: using fMLLR transforms from $transform_dir"
    [ ! -f $transform_dir/trans.1 ] && echo "Expected $transform_dir/trans.1 to exist."
    [ "`cat $transform_dir/num_jobs`" -ne "$nj" ] \
      && echo "$0: mismatch in number of jobs with $transform_dir" && exit 1;
    [ -f $srcdir/final.mat ] && ! cmp $transform_dir/final.mat $srcdir/final.mat && \
       echo "$0: LDA transforms differ between $srcdir and $transform_dir"
    feats="$feats transform-feats --utt2spk=ark:$sdata1/JOB/utt2spk ark:$transform_dir/trans.JOB ark:- ark:- |"
  else
    echo "Assuming you don't have a SAT system, since no --transform-dir option supplied "
  fi
  
  if [ -f $srcdir/gselect.1.gz ]; then
    gselect_opt="--gselect=ark:gunzip -c $srcdir/gselect.JOB.gz|"
  else
    echo "$0: no such file $srcdir/gselect.1.gz" && exit 1;
  fi
  
  if [ -f $srcdir/vecs.1 ]; then
    spkvecs_opt="--spk-vecs=ark:$srcdir/vecs.JOB --utt2spk=ark:$sdata1/JOB/utt2spk"
  else
    if [ -f $srcdir/final.alimdl ]; then
      echo "$0: You seem to have an SGMM system with speaker vectors,"
      echo "yet we can't find speaker vectors.  Perhaps you supplied"
      echo "the model director instead of the alignment directory?"
      exit 1;
    fi
  fi
  
  if [ $sub_split -eq 1 ]; then 
    $cmd JOB=1:$nj $dir/log/decode_den.JOB.log \
     sgmm2-latgen-faster $spkvecs_opt "$gselect_opt" --beam=$beam \
       --lattice-beam=$lattice_beam --acoustic-scale=$acwt \
       --max-mem=$max_mem --max-active=$max_active --word-symbol-table=$lang/words.txt $srcdir/final.mdl  \
       $dir/dengraph/HCLG.fst "$feats" "ark:|gzip -c >$dir/lat.JOB.gz" || exit 1;
  else
    for n in `seq $nj`; do
      if [ -f $dir/.done.$n ] && [ $dir/.done.$n -nt $srcdir/final.mdl ]; then
        echo "Not processing subset $n as already done (delete $dir/.done.$n if not)";
      else 
        ssdata1=$data1/split$nj/$n/split$sub_split;
        if [ ! -d $ssdata1 ] || [ $ssdata1 -ot $sdata1/$n/feats.scp ]; then
          split_data.sh --per-utt $sdata1/$n $sub_split || exit 1;
        fi
        ssdata2=$data2/split$nj/$n/split$sub_split;
        if [ ! -d $ssdata2 ] || [ $ssdata2 -ot $sdata2/$n/feats.scp ]; then
          split_data.sh --per-utt $sdata2/$n $sub_split || exit 1;
        fi
        mkdir -p $dir/log/$n
        mkdir -p $dir/part
        feats_subset=`echo $feats | sed "s/trans.JOB/trans.$n/g" | sed s:JOB/:$n/split$sub_split/JOB/:g`
        spkvecs_opt_subset=`echo $spkvecs_opt | sed "s/JOB/$n/g"`
        gselect_opt_subset=`echo $gselect_opt | sed "s/JOB/$n/g"`
        $cmd JOB=1:$sub_split $dir/log/$n/decode_den.JOB.log \
          sgmm2-latgen-faster $spkvecs_opt_subset "$gselect_opt_subset" \
            --beam=$beam --lattice-beam=$lattice_beam \
            --acoustic-scale=$acwt --max-mem=$max_mem --max-active=$max_active \
            --word-symbol-table=$lang/words.txt $srcdir/final.mdl  \
            $dir/dengraph/HCLG.fst "$feats_subset" "ark:|gzip -c >$dir/lat.$n.JOB.gz" || exit 1;
        echo Merging archives for data subset $n
        rm $dir/.error 2>/dev/null;
        for k in `seq $sub_split`; do
          gunzip -c $dir/lat.$n.$k.gz || touch $dir/.error;
        done | gzip -c > $dir/lat.$n.gz || touch $dir/.error;
        [ -f $dir/.error ] && echo Merging lattices for subset $n failed && exit 1;
        rm $dir/lat.$n.*.gz
        touch $dir/.done.$n
      fi
    done
  fi
  
  
  echo "$0: done generating denominator lattices with SGMMs."