#!/bin/bash
  
  # Copyright 2012  Johns Hopkins University (Author: Daniel Povey)
  #                 Korbinian Riedhammer
  # Apache 2.0
  
  # Begin configuration.
  stage=-4 #  This allows restarting after partway, when something when wrong.
  config=
  cmd=run.pl
  scale_opts="--transition-scale=1.0 --acoustic-scale=0.1 --self-loop-scale=0.1"
  realign_iters="10 20 30";
  num_iters=35    # Number of iterations of training
  max_iter_inc=25 # Last iter to increase #Gauss on.
  beam=10
  retry_beam=40
  boost_silence=1.0 # Factor by which to boost silence likelihoods in alignment
  power=0.2 # Exponent for number of gaussians according to occurrence counts
  cluster_thresh=-1  # for build-tree control final bottom-up clustering of leaves
  normft2=true  # typically, the tandem features will be normalized already b/c of pca
  # End configuration.
  
  echo "$0 $@"  # Print the command line for logging
  
  [ -f path.sh ] && . ./path.sh;
  . parse_options.sh || exit 1;
  
  if [ $# != 7 ]; then
     echo "Usage: steps/tandem/train_deltas.sh <num-leaves> <tot-gauss> <data1-dir> <data2-dir> <lang-dir> <alignment-dir> <exp-dir>"
     echo " e.g.: steps/tandem/train_deltas.sh 2000 10000 {mfcc,bottleneck}/data/train_si84_half data/lang exp/mono_ali exp/tri1"
     echo "main options (for others, see top of script file)"
     echo "  --cmd (utils/run.pl|utils/queue.pl <queue opts>) # how to run jobs."
     echo "  --config <config-file>                           # config containing options"
     echo "  --stage <stage>                                  # stage to do partial re-run from."
     echo "  --normft2 (true|false)                           # apply CMVN to second features?"
     exit 1;
  fi
  
  numleaves=$1
  totgauss=$2
  data1=$3
  data2=$4
  lang=$5
  alidir=$6
  dir=$7
  
  for f in $alidir/final.mdl $alidir/ali.1.gz $data1/feats.scp $data2/feats.scp $lang/phones.txt; do
    [ ! -f $f ] && echo "train_tandem.sh: no such file $f" && exit 1;
  done
  
  numgauss=$numleaves
  incgauss=$[($totgauss-$numgauss)/$max_iter_inc] # per-iter increment for #Gauss
  oov=`cat $lang/oov.int` || exit 1;
  ciphonelist=`cat $lang/phones/context_indep.csl` || exit 1;
  nj=`cat $alidir/num_jobs` || exit 1;
  mkdir -p $dir/log
  echo $nj > $dir/num_jobs
  
  # Set up features
  
  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;
  
  # Set up stream 1 (usually spectral features, so we use deltas)
  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:- | add-deltas ark:- ark:- |"
  
  # Set up stream 2 (usually bottleneck/posteriors), normalize 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
  
  feats="ark,s,cs:paste-feats '$feats1' '$feats2' ark:- |"
  
  # save config
  echo $feats > $dir/tandem
  echo $normft2 > $dir/normft2
  
  rm $dir/.error 2>/dev/null
  
  if [ $stage -le -3 ]; then
    echo "$0: accumulating tree stats"
    $cmd JOB=1:$nj $dir/log/acc_tree.JOB.log \
      acc-tree-stats  --ci-phones=$ciphonelist $alidir/final.mdl "$feats" \
       "ark:gunzip -c $alidir/ali.JOB.gz|" $dir/JOB.treeacc || exit 1;
    sum-tree-stats $dir/treeacc $dir/*.treeacc 2>$dir/log/sum_tree_acc.log || exit 1;
    rm $dir/*.treeacc
  fi
  
  if [ $stage -le -2 ]; then
    echo "$0: getting questions for tree-building, via clustering"
    # preparing questions, roots file...
    cluster-phones $dir/treeacc $lang/phones/sets.int $dir/questions.int 2> $dir/log/questions.log || exit 1;
    cat $lang/phones/extra_questions.int >> $dir/questions.int
    compile-questions $lang/topo $dir/questions.int $dir/questions.qst 2>$dir/log/compile_questions.log || exit 1;
  
    echo "$0: building the tree"
    $cmd $dir/log/build_tree.log \
      build-tree --verbose=1 --max-leaves=$numleaves \
      --cluster-thresh=$cluster_thresh $dir/treeacc $lang/phones/roots.int \
      $dir/questions.qst $lang/topo $dir/tree || exit 1;
  
    gmm-init-model  --write-occs=$dir/1.occs  \
      $dir/tree $dir/treeacc $lang/topo $dir/1.mdl 2> $dir/log/init_model.log || exit 1;
    grep 'no stats' $dir/log/init_model.log && echo "This is a bad warning.";
  
    gmm-mixup --mix-up=$numgauss $dir/1.mdl $dir/1.occs $dir/1.mdl 2>$dir/log/mixup.log || exit 1;
    rm $dir/treeacc
  fi
  
  if [ $stage -le -1 ]; then
    # Convert the alignments.
    echo "$0: converting alignments from $alidir to use current tree"
    $cmd JOB=1:$nj $dir/log/convert.JOB.log \
      convert-ali $alidir/final.mdl $dir/1.mdl $dir/tree \
       "ark:gunzip -c $alidir/ali.JOB.gz|" "ark:|gzip -c >$dir/ali.JOB.gz" || exit 1;
  fi
  
  if [ $stage -le 0 ]; then
    echo "$0: compiling graphs of transcripts"
    $cmd JOB=1:$nj $dir/log/compile_graphs.JOB.log \
      compile-train-graphs $dir/tree $dir/1.mdl  $lang/L.fst  \
       "ark:utils/sym2int.pl --map-oov $oov -f 2- $lang/words.txt < $data1/split$nj/JOB/text |" \
        "ark:|gzip -c >$dir/fsts.JOB.gz" || exit 1;
  fi
  
  x=1
  while [ $x -lt $num_iters ]; do
    echo "$0: training pass $x"
    if [ $stage -le $x ]; then
      if echo $realign_iters | grep -w $x >/dev/null; then
        echo "$0: aligning data"
        mdl="gmm-boost-silence --boost=$boost_silence `cat $lang/phones/optional_silence.csl` $dir/$x.mdl - |"
        $cmd JOB=1:$nj $dir/log/align.$x.JOB.log \
          gmm-align-compiled $scale_opts --beam=$beam --retry-beam=$retry_beam "$mdl" \
           "ark:gunzip -c $dir/fsts.JOB.gz|" "$feats" \
           "ark:|gzip -c >$dir/ali.JOB.gz" || exit 1;
      fi
      $cmd JOB=1:$nj $dir/log/acc.$x.JOB.log \
        gmm-acc-stats-ali  $dir/$x.mdl "$feats" \
         "ark,s,cs:gunzip -c $dir/ali.JOB.gz|" $dir/$x.JOB.acc || exit 1;
      $cmd $dir/log/update.$x.log \
        gmm-est --mix-up=$numgauss --power=$power \
          --write-occs=$dir/$[$x+1].occs $dir/$x.mdl \
         "gmm-sum-accs - $dir/$x.*.acc |" $dir/$[$x+1].mdl || exit 1;
      rm $dir/$x.mdl $dir/$x.*.acc
      rm $dir/$x.occs
    fi
    [ $x -le $max_iter_inc ] && numgauss=$[$numgauss+$incgauss];
    x=$[$x+1];
  done
  
  rm $dir/final.mdl 2>/dev/null
  ln -s $x.mdl $dir/final.mdl
  ln -s $x.occs $dir/final.occs
  
  # Summarize warning messages...
  utils/summarize_warnings.pl  $dir/log
  
  echo "$0: Done training tandem system in $dir"