#!/bin/bash
# Copyright 2012-2013 Karel Vesely, Daniel Povey
# Apache 2.0.

# Create denominator lattices for MMI/MPE/sMBR training.
# Creates its output in $dir/lat.*.ark,$dir/lat.scp
# The lattices are uncompressed, we need random access for DNN training.

# Begin configuration section.
nj=4
cmd=run.pl
sub_split=1
beam=13.0
lattice_beam=7.0
acwt=0.1
max_active=5000
nnet=
max_mem=20000000 # This will stop the processes getting too large.
# This is in bytes, but not "real" bytes-- you have to multiply
# by something like 5 or 10 to get real bytes (not sure why so large)
# End configuration section.
use_gpu_id=-1 # disable gpu
parallel_opts="-pe smp 2"

echo "$0 $@"  # Print the command line for logging

[ -f ./path.sh ] && . ./path.sh; # source the path.
. parse_options.sh || exit 1;

if [ $# != 4 ]; then
   echo "Usage: steps/$0 [options] <data-dir> <lang-dir> <src-dir> <exp-dir>"
   echo "  e.g.: steps/$0 data/train data/lang exp/tri1 exp/tri1_denlats"
   echo "Works for plain features (or CMN, delta), forwarded through feature-transform."
   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."
   exit 1;
fi

data=$1
lang=$2
srcdir=$3
dir=$4

sdata=$data/split$nj
splice_opts=`cat $srcdir/splice_opts 2>/dev/null`
mkdir -p $dir/log
[[ -d $sdata && $data/feats.scp -ot $sdata ]] || split_data.sh $data $nj || exit 1;
echo $nj > $dir/num_jobs

oov=`cat $lang/oov.int` || exit 1;

mkdir -p $dir

cp -r $lang $dir/

# Compute grammar FST which corresponds to unigram decoding graph.
new_lang="$dir/"$(basename "$lang")
echo "Making unigram grammar FST in $new_lang"
cat $data/text | utils/sym2int.pl --map-oov $oov -f 2- $lang/words.txt | \
  awk '{for(n=2;n<=NF;n++){ printf("%s ", $n); } printf("\n"); }' | \
  utils/make_unigram_grammar.pl | fstcompile > $new_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.

echo "Compiling decoding graph in $dir/dengraph"
if [ -s $dir/dengraph/HCLG.fst ] && [ $dir/dengraph/HCLG.fst -nt $srcdir/final.mdl ]; then
   echo "Graph $dir/dengraph/HCLG.fst already exists: skipping graph creation."
else
  utils/mkgraph.sh $new_lang $srcdir $dir/dengraph || exit 1;
fi



#Get the files we will need
cp $srcdir/{tree,final.mdl} $dir

[ -z "$nnet" ] && nnet=$srcdir/final.nnet;
[ ! -f "$nnet" ] && echo "Error nnet '$nnet' does not exist!" && exit 1;

class_frame_counts=$srcdir/ali_train_pdf.counts
[ -z "$class_frame_counts" ] && echo "Error class_frame_counts '$class_frame_counts' does not exist!" && exit 1;

feature_transform=$srcdir/final.feature_transform
if [ ! -f $feature_transform ]; then
  echo "Missing feature_transform '$feature_transform'"
  exit 1
fi

model=$dir/final.mdl
[ -z "$model" ] && echo "Error transition model '$model' does not exist!" && exit 1;

###
### Prepare feature pipeline (same as for decoding)
###
# Create the feature stream:
feats="ark,s,cs:copy-feats scp:$sdata/JOB/feats.scp ark:- |"
# Optionally add cmvn
if [ -f $srcdir/norm_vars ]; then
  norm_vars=$(cat $srcdir/norm_vars 2>/dev/null)
  [ ! -f $sdata/1/cmvn.scp ] && echo "$0: cannot find cmvn stats $sdata/1/cmvn.scp" && exit 1
  feats="$feats apply-cmvn --norm-vars=$norm_vars --utt2spk=ark:$sdata/JOB/utt2spk scp:$sdata/JOB/cmvn.scp ark:- ark:- |"
fi
# Optionally add deltas
if [ -f $srcdir/delta_order ]; then
  delta_order=$(cat $srcdir/delta_order)
  feats="$feats add-deltas --delta-order=$delta_order ark:- ark:- |"
fi

# Finally add feature_transform and the MLP
feats="$feats nnet-forward --feature-transform=$feature_transform --no-softmax=true --class-frame-counts=$class_frame_counts --use-gpu-id=$use_gpu_id $nnet ark:- ark:- |"
###
###
###



###
### We will produce lattices, where the correct path is not necessarily present
###

#1) We don't use reference path here...

echo "Generating the denlats"
#2) Generate the denominator lattices
if [ $sub_split -eq 1 ]; then 
  $cmd $parallel_opts JOB=1:$nj $dir/log/decode_den.JOB.log \
    latgen-faster-mapped --beam=$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,scp:$dir/lat.JOB.ark,$dir/lat.JOB.scp" || exit 1;
else
  for n in `seq $nj`; do
    if [ -f $dir/.done.$n ] && [ $dir/.done.$n -nt $alidir/final.mdl ]; then
      echo "Not processing subset $n as already done (delete $dir/.done.$n if not)";
    else
      sdata2=$data/split$nj/$n/split$sub_split;
      if [ ! -d $sdata2 ] || [ $sdata2 -ot $sdata/$n/feats.scp ]; then
        split_data.sh --per-utt $sdata/$n $sub_split || exit 1;
      fi
      mkdir -p $dir/log/$n
      mkdir -p $dir/part
      feats_subset=$(echo $feats | sed s:JOB/:$n/split$sub_split/JOB/:g)
      $cmd $parallel_opts JOB=1:$sub_split $dir/log/$n/decode_den.JOB.log \
        latgen-faster-mapped --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,scp:$dir/lat.$n.JOB.ark,$dir/lat.$n.JOB.scp" || exit 1;
      echo Merging lists for data subset $n
      for k in `seq $sub_split`; do
        cat $dir/lat.$n.$k.scp
      done > $dir/lat.$n.all.scp
      echo Merge the ark $n
      lattice-copy scp:$dir/lat.$n.all.scp ark,scp:$dir/lat.$n.ark,$dir/lat.$n.scp || exit 1;
      #remove the data
      rm $dir/lat.$n.*.ark $dir/lat.$n.*.scp $dir/lat.$n.all.scp
      touch $dir/.done.$n
    fi
  done
fi

      

#3) Merge the SCPs to create full list of lattices (will use random access)
echo Merging to single list $dir/lat.scp
for ((n=1; n<=nj; n++)); do
  cat $dir/lat.$n.scp
done > $dir/lat.scp


echo "$0: done generating denominator lattices."