#!/bin/bash
  # Copyright 2012  Johns Hopkins University (Author: Daniel Povey).  Apache 2.0.
  #                 Korbinian Riedhammer
  
  # This does Speaker Adapted Training (SAT), i.e. train on
  # fMLLR-adapted features.  It can be done on top of either LDA+MLLT, or
  # delta and delta-delta features.  If there are no transforms supplied
  # in the alignment directory, it will estimate transforms itself before
  # building the tree (and in any case, it estimates transforms a number
  # of times during training).
  
  
  # Begin configuration section.
  stage=-5
  fmllr_update_type=full
  cmd=run.pl
  scale_opts="--transition-scale=1.0 --acoustic-scale=0.1 --self-loop-scale=0.1"
  beam=10
  retry_beam=40
  boost_silence=1.0 # Factor by which to boost silence likelihoods in alignment
  realign_iters="10 20 30";
  fmllr_iters="2 4 6 12";
  silence_weight=0.0 # Weight on silence in fMLLR estimation.
  num_iters=35   # Number of iterations of training
  max_iter_inc=25 # Last iter to increase #Gauss on.
  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
  # End configuration section.
  
  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_sat.sh <#leaves> <#gauss> <data1> <data2> <lang> <ali-dir> <exp-dir>"
    echo " e.g.: steps/tandem/train_sat.sh 2500 15000 {mfcc,bottleneck}/data/train_si84 data/lang exp/tri2b_ali_si84 exp/tri3b"
    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."
    exit 1;
  fi
  
  numleaves=$1
  totgauss=$2
  data1=$3
  data2=$4
  lang=$5
  alidir=$6
  dir=$7
  
  for f in $data1/feats.scp $data2/feats.scp $lang/phones.txt $alidir/final.mdl $alidir/ali.1.gz; do
    [ ! -f $f ] && echo "train_tandem_sat.sh: no such file $f" && exit 1;
  done
  
  numgauss=$numleaves
  incgauss=$[($totgauss-$numgauss)/$max_iter_inc]  # per-iter #gauss increment
  oov=`cat $lang/oov.int`
  nj=`cat $alidir/num_jobs` || exit 1;
  silphonelist=`cat $lang/phones/silence.csl`
  ciphonelist=`cat $lang/phones/context_indep.csl` || exit 1;
  
  
  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;
  
  # Set up features.
  
  # We will use the same settings as with the alidir
  splice_opts=`cat $alidir/splice_opts 2>/dev/null` # frame-splicing options.
  normft2=`cat $alidir/normft2 2>/dev/null`
  
  if [ -f $alidir/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 $alidir/{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
  sifeats="ark,s,cs:paste-feats '$feats1' '$feats2' ark:- |"
  
  # add transformation, if applicable
  if [ "$feat_type" == "lda" ]; then
    sifeats="$sifeats transform-feats $dir/final.mat ark:- ark:- |"
  fi
  
  # splicing/normalization options
  cp $alidir/{splice_opts,tandem,normft2} $dir 2>/dev/null
  
  
  
  ## Get initial fMLLR transforms (possibly from alignment dir)
  if [ -f $alidir/trans.1 ]; then
    echo "$0: Using transforms from $alidir"
    feats="$sifeats transform-feats --utt2spk=ark:$sdata1/JOB/utt2spk ark,s,cs:$alidir/trans.JOB ark:- ark:- |"
    cur_trans_dir=$alidir
  else 
    if [ $stage -le -4 ]; then
      echo "$0: obtaining initial fMLLR transforms since not present in $alidir"
      $cmd JOB=1:$nj $dir/log/fmllr.0.JOB.log \
        ali-to-post "ark:gunzip -c $alidir/ali.JOB.gz|" ark:- \| \
        weight-silence-post $silence_weight $silphonelist $alidir/final.mdl ark:- ark:- \| \
        gmm-est-fmllr --fmllr-update-type=$fmllr_update_type \
        --spk2utt=ark:$sdata1/JOB/spk2utt $alidir/final.mdl "$sifeats" \
        ark:- ark:$dir/trans.JOB || exit 1;
    fi
    feats="$sifeats transform-feats --utt2spk=ark:$sdata1/JOB/utt2spk ark,s,cs:$dir/trans.JOB ark:- ark:- |"
    cur_trans_dir=$dir
  fi
  
  if [ $stage -le -3 ]; then
    # Get tree stats.
    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;
    [ "`ls $dir/*.treeacc | wc -w`" -ne "$nj" ] && echo "$0: Wrong #tree-accs" && exit 1;
    $cmd $dir/log/sum_tree_acc.log \
      sum-tree-stats $dir/treeacc $dir/*.treeacc || exit 1;
    rm $dir/*.treeacc
  fi
  
  if [ $stage -le -2 ]; then
    echo "$0: Getting questions for tree 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 "$0: This is a bad warning.";
  
    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 < $sdata1/JOB/text |" \
        "ark:|gzip -c >$dir/fsts.JOB.gz" || exit 1;
  fi
  
  x=1
  while [ $x -lt $num_iters ]; do
     echo Pass $x
    if echo $realign_iters | grep -w $x >/dev/null && [ $stage -le $x ]; then
      echo Aligning data
      mdl="gmm-boost-silence --boost=$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
  
    if echo $fmllr_iters | grep -w $x >/dev/null; then
      if [ $stage -le $x ]; then
        echo Estimating fMLLR transforms
        # We estimate a transform that's additional to the previous transform;
        # we'll compose them.
        $cmd JOB=1:$nj $dir/log/fmllr.$x.JOB.log \
          ali-to-post "ark:gunzip -c $dir/ali.JOB.gz|" ark:-  \| \
          weight-silence-post $silence_weight $silphonelist $dir/$x.mdl ark:- ark:- \| \
          gmm-est-fmllr --fmllr-update-type=$fmllr_update_type \
          --spk2utt=ark:$sdata1/JOB/spk2utt $dir/$x.mdl \
          "$feats" ark:- ark:$dir/tmp_trans.JOB || exit 1;
        for n in `seq $nj`; do
          ! ( compose-transforms --b-is-affine=true \
            ark:$dir/tmp_trans.$n ark:$cur_trans_dir/trans.$n ark:$dir/composed_trans.$n \
            && mv $dir/composed_trans.$n $dir/trans.$n && \
            rm $dir/tmp_trans.$n ) 2>$dir/log/compose_transforms.$x.log \
            && echo "$0: Error composing transforms" && exit 1;
        done
      fi
      feats="$sifeats transform-feats --utt2spk=ark:$sdata1/JOB/utt2spk ark:$dir/trans.JOB ark:- ark:- |"
      cur_trans_dir=$dir
    fi
    
    if [ $stage -le $x ]; then
      $cmd JOB=1:$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;
      [ `ls $dir/$x.*.acc | wc -w` -ne "$nj" ] && echo "$0: Wrong #accs" && exit 1;
      $cmd $dir/log/update.$x.log \
        gmm-est --power=$power --write-occs=$dir/$[$x+1].occs --mix-up=$numgauss $dir/$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
  
  
  if [ $stage -le $x ]; then
    # Accumulate stats for "alignment model"-- this model is
    # computed with the speaker-independent features, but matches Gaussian-for-Gaussian
    # with the final speaker-adapted model.
    $cmd JOB=1:$nj $dir/log/acc_alimdl.JOB.log \
      ali-to-post "ark:gunzip -c $dir/ali.JOB.gz|" ark:-  \| \
      gmm-acc-stats-twofeats $dir/$x.mdl "$feats" "$sifeats" \
      ark,s,cs:- $dir/$x.JOB.acc || exit 1;
    [ `ls $dir/$x.*.acc | wc -w` -ne "$nj" ] && echo "$0: Wrong #accs" && exit 1;
    # Update model.
    $cmd $dir/log/est_alimdl.log \
      gmm-est --power=$power --remove-low-count-gaussians=false $dir/$x.mdl \
      "gmm-sum-accs - $dir/$x.*.acc|" $dir/$x.alimdl  || exit 1;
    rm $dir/$x.*.acc
  fi
  
  rm $dir/final.{mdl,alimdl,occs} 2>/dev/null
  ln -s $x.mdl $dir/final.mdl
  ln -s $x.occs $dir/final.occs
  ln -s $x.alimdl $dir/final.alimdl
  
  
  
  utils/summarize_warnings.pl $dir/log
  (
    echo "$0: Likelihood evolution:"
    for x in `seq $[$num_iters-1]`; do
      tail -n 30 $dir/log/acc.$x.*.log | awk '/Overall avg like/{l += $(NF-3)*$(NF-1); t += $(NF-1); }
          /Overall average logdet/{d += $(NF-3)*$(NF-1); t2 += $(NF-1);} 
          END{ d /= t2; l /= t; printf("%s ", d+l); } '
    done
    echo
  ) | tee $dir/log/summary.log
  
  echo Done