#!/bin/bash

# Copyright 2012-2013  Johns Hopkins University (Author: Daniel Povey).
# Apache 2.0.

# This script does decoding with a neural-net.  If the neural net was built on
# top of fMLLR transforms from a conventional system, you should provide the
# --transform-dir option.

# Begin configuration section.
stage=1
transform_dir=    # dir to find fMLLR transforms.
nj=4 # number of decoding jobs.  If --transform-dir set, must match that number!
acwt=0.1  # Just a default value, used for adaptation and beam-pruning..
cmd=run.pl
beam=15.0
max_active=7000
lat_beam=8.0 # Beam we use in lattice generation.
iter=final
num_threads=1 # if >1, will use gmm-latgen-faster-parallel
parallel_opts=  # If you supply num-threads, you should supply this too.
scoring_opts=
skip_scoring=false
feat_type=
spk_vecs_dir=
# 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 [ $# -ne 3 ]; then
  echo "Usage: $0 [options] <graph-dir> <data-dir> <decode-dir>"
  echo " e.g.: $0 --transform-dir exp/tri3b/decode_dev93_tgpr \\"
  echo "      exp/tri3b/graph_tgpr data/test_dev93 exp/tri4a_nnet/decode_dev93_tgpr"
  echo "main options (for others, see top of script file)"
  echo "  --transform-dir <decoding-dir>           # directory of previous decoding"
  echo "                                           # where we can find transforms for SAT systems."
  echo "  --config <config-file>                   # config containing options"
  echo "  --nj <nj>                                # number of parallel jobs"
  echo "  --cmd <cmd>                              # Command to run in parallel with"
  echo "  --beam <beam>                            # Decoding beam; default 15.0"
  echo "  --iter <iter>                            # Iteration of model to decode; default is final."
  echo "  --scoring-opts <string>                  # options to local/score.sh"
  echo "  --num-threads <n>                        # number of threads to use, default 1."
  echo "  --parallel-opts <opts>                   # e.g. '-pe smp 4' if you supply --num-threads 4"
  exit 1;
fi

graphdir=$1
data=$2
dir=$3
srcdir=`dirname $dir`; # Assume model directory one level up from decoding directory.
model=$srcdir/$iter.mdl

for f in $graphdir/HCLG.fst $data/feats.scp $model; do
  [ ! -f $f ] && echo "$0: no such file $f" && exit 1;
done

sdata=$data/split$nj;
splice_opts=`cat $srcdir/splice_opts 2>/dev/null`
thread_string=
[ $num_threads -gt 1 ] && thread_string="-parallel --num-threads=$num_threads" 

mkdir -p $dir/log
[[ -d $sdata && $data/feats.scp -ot $sdata ]] || split_data.sh $data $nj || exit 1;
echo $nj > $dir/num_jobs


## Set up features.
if [ -z "$feat_type" ]; then
  if [ -f $srcdir/final.mat ]; then feat_type=lda; else feat_type=raw; fi
  echo "$0: feature type is $feat_type"
fi

case $feat_type in
  raw) feats="ark,s,cs:apply-cmvn --norm-vars=false --utt2spk=ark:$sdata/JOB/utt2spk scp:$sdata/JOB/cmvn.scp scp:$sdata/JOB/feats.scp ark:- |";;
  lda) feats="ark,s,cs:apply-cmvn --norm-vars=false --utt2spk=ark:$sdata/JOB/utt2spk scp:$sdata/JOB/cmvn.scp scp:$sdata/JOB/feats.scp ark:- | splice-feats $splice_opts ark:- ark:- | transform-feats $srcdir/final.mat ark:- ark:- |"
    ;;
  *) echo "$0: invalid feature type $feat_type" && exit 1;
esac
if [ ! -z "$transform_dir" ]; then
  echo "$0: using transforms from $transform_dir"
  if [ "$feat_type" == "lda" ]; then
    [ ! -f $transform_dir/trans.1 ] && echo "$0: no such file $transform_dir/trans.1" && exit 1;
    [ "$nj" -ne "`cat $transform_dir/num_jobs`" ] \
      && echo "$0: #jobs mismatch with transform-dir." && exit 1;
    feats="$feats transform-feats --utt2spk=ark:$sdata/JOB/utt2spk ark,s,cs:$transform_dir/trans.JOB ark:- ark:- |"
  else
    [ ! -f $transform_dir/raw_trans.1 ] && echo "$0: no such file $transform_dir/raw_trans.1" && exit 1;
    [ "$nj" -ne "`cat $transform_dir/num_jobs`" ] \
      && echo "$0: #jobs mismatch with transform-dir." && exit 1;
    feats="$feats transform-feats --utt2spk=ark:$sdata/JOB/utt2spk ark,s,cs:$transform_dir/raw_trans.JOB ark:- ark:- |"
  fi
elif grep 'transform-feats --utt2spk' $srcdir/log/train.1.log >&/dev/null; then
  echo "$0: **WARNING**: you seem to be using a neural net system trained with transforms,"
  echo "  but you are not providing the --transform-dir option in test time."
fi
##

if [ ! -z $spk_vecs_dir ]; then
  [ ! -f $spk_vecs_dir/vecs.1 ] && echo "No such file $spk_vecs_dir/vecs.1" && exit 1;
  spk_vecs_opt=("--spk-vecs=ark:cat $spk_vecs_dir/vecs.*|" "--utt2spk=ark:$data/utt2spk")
else
  spk_vecs_opt=()
fi

if [ $stage -le 1 ]; then
  $cmd $parallel_opts JOB=1:$nj $dir/log/decode.JOB.log \
    nnet-latgen-faster$thread_string "${spk_vecs_opt[@]}" --max-active=$max_active --beam=$beam \
     --lattice-beam=$lat_beam --acoustic-scale=$acwt --allow-partial=true \
     --word-symbol-table=$graphdir/words.txt "$model" \
     $graphdir/HCLG.fst "$feats" "ark:|gzip -c > $dir/lat.JOB.gz" || exit 1;
fi

# The output of this script is the files "lat.*.gz"-- we'll rescore this at 
# different acoustic scales to get the final output.


if [ $stage -le 2 ]; then
  if ! $skip_scoring ; then
    [ ! -x local/score.sh ] && \
      echo "Not scoring because local/score.sh does not exist or not executable." && exit 1;
    echo "score best paths"
    local/score.sh $scoring_opts --cmd "$cmd" $data $graphdir $dir
    echo "score confidence and timing with sclite"
  fi
fi
echo "Decoding done."
exit 0;