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diff --git a/kaldi_decode/decode.sh b/kaldi_decode/decode.sh
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-#!/bin/bash
-
-# Copyright 2012-2013 Karel Vesely, Daniel Povey
-# Apache 2.0
-
-# Begin configuration section. 
-nnet=               # non-default location of DNN (optional)
-feature_transform=  # non-default location of feature_transform (optional)
-model=              # non-default location of transition model (optional)
-class_frame_counts= # non-default location of PDF counts (optional)
-srcdir=             # non-default location of DNN-dir (decouples model dir from decode dir)
-
-stage=0 # stage=1 skips lattice generation
-nj=4
-cmd=run.pl
-
-acwt=0.10 # note: only really affects pruning (scoring is on lattices).
-beam=13.0
-lattice_beam=8.0
-min_active=200
-max_active=7000 # limit of active tokens
-max_mem=50000000 # approx. limit to memory consumption during minimization in bytes
-nnet_forward_opts="--prior-scale=1.0"
-
-skip_scoring=false
-scoring_opts="--min-lmwt 4 --max-lmwt 15"
-
-num_threads=1 # if >1, will use latgen-faster-parallel
-parallel_opts=   # Ignored now.
-use_gpu="no" # yes|no|optionaly
-# 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 [ $# != 4 ]; then
-   echo "Usage: $0 [options] <graph-dir> <data-dir> <nerv-config> <decode-dir>"
-   echo "... where <decode-dir> is assumed to be a sub-directory of the directory"
-   echo " where the DNN and transition model is."
-   echo "e.g.: $0 exp/dnn1/graph_tgpr data/test config.lua exp/dnn1/decode_tgpr"
-   echo ""
-   echo "This script works on plain or modified features (CMN,delta+delta-delta),"
-   echo "which are then sent through feature-transform. It works out what type"
-   echo "of features you used from content of srcdir."
-   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 ""
-   echo "  --srcdir <dir>                                   # non-default dir with DNN/models, can be different"
-   echo "                                                   # from parent dir of <decode-dir>' (opt.)"
-   echo ""
-   echo "  --acwt <float>                                   # select acoustic scale for decoding"
-   echo "  --scoring-opts <opts>                            # options forwarded to local/score.sh"
-   echo "  --num-threads <N>                                # N>1: run multi-threaded decoder"
-   exit 1;
-fi
-
-
-graphdir=$1
-data=$2
-config=$3
-dir=$4
-[ -z $srcdir ] && srcdir=`dirname $dir`; # Default model directory one level up from decoding directory.
-sdata=$data/split$nj;
-
-mkdir -p $dir/log
-
-[[ -d $sdata && $data/feats.scp -ot $sdata ]] || split_data.sh $data $nj || exit 1;
-echo $nj > $dir/num_jobs
-
-# Select default locations to model files (if not already set externally)
-[ -z "$model" ] && model=$srcdir/final.mdl
-#
-[ -z "$class_frame_counts" -a -f $srcdir/prior_counts ] && class_frame_counts=$srcdir/prior_counts # priority,
-[ -z "$class_frame_counts" ] && class_frame_counts=$srcdir/ali_train_pdf.counts
-
-# Check that files exist
-for f in $sdata/1/feats.scp $model $class_frame_counts $graphdir/HCLG.fst; do
-  [ ! -f $f ] && echo "$0: missing file $f" && exit 1;
-done
-
-# Possibly use multi-threaded decoder
-thread_string=
-[ $num_threads -gt 1 ] && thread_string="-parallel --num-threads=$num_threads" 
-
-
-# PREPARE FEATURE EXTRACTION PIPELINE
-# import config,
-cmvn_opts=
-delta_opts=
-D=$srcdir
-[ -e $D/norm_vars ] && cmvn_opts="--norm-means=true --norm-vars=$(cat $D/norm_vars)" # Bwd-compatibility,
-[ -e $D/cmvn_opts ] && cmvn_opts=$(cat $D/cmvn_opts)
-[ -e $D/delta_order ] && delta_opts="--delta-order=$(cat $D/delta_order)" # Bwd-compatibility,
-[ -e $D/delta_opts ] && delta_opts=$(cat $D/delta_opts)
-#
-# Create the feature stream,
-feats="ark,s,cs:copy-feats scp:$sdata/JOB/feats.scp ark:- |"
-# apply-cmvn (optional),
-[ ! -z "$cmvn_opts" -a ! -f $sdata/1/cmvn.scp ] && echo "$0: Missing $sdata/1/cmvn.scp" && exit 1
-[ ! -z "$cmvn_opts" ] && feats="$feats apply-cmvn $cmvn_opts --utt2spk=ark:$sdata/JOB/utt2spk scp:$sdata/JOB/cmvn.scp ark:- ark:- |"
-# add-deltas (optional),
-[ ! -z "$delta_opts" ] && feats="$feats add-deltas $delta_opts ark:- ark:- |"
-#
-# Run the decoding in the queue,
-if [ $stage -le 0 ]; then
-  $cmd --num-threads $((num_threads+1)) JOB=1:$nj $dir/log/decode.JOB.log \
-    ./src/nnet-forward $nnet_forward_opts --class-frame-counts=$class_frame_counts --use-gpu=$use_gpu $config "$feats" ark:- \| \
-    latgen-faster-mapped$thread_string --min-active=$min_active --max-active=$max_active --max-mem=$max_mem --beam=$beam \
-    --lattice-beam=$lattice_beam --acoustic-scale=$acwt --allow-partial=true --word-symbol-table=$graphdir/words.txt \
-    $model $graphdir/HCLG.fst ark:- "ark:|gzip -c > $dir/lat.JOB.gz" || exit 1;
-fi
-# Run the scoring
-if ! $skip_scoring ; then
-  [ ! -x local/score.sh ] && \
-    echo "Not scoring because local/score.sh does not exist or not executable." && exit 1;
-  local/score.sh $scoring_opts --cmd "$cmd" $data $graphdir $dir || exit 1;
-fi
-
-exit 0;