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egs/wsj/s5/steps/nnet3/make_denlats.sh
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#!/bin/bash # Copyright 2012 Johns Hopkins University (Author: Daniel Povey) # 2014-2015 Vimal Manohar # Apache 2.0. # Create denominator lattices for MMI/MPE training [deprecated]. # This version uses the neural-net models (version 3, i.e. the nnet3 code). # Creates its output in $dir/lat.*.gz # Note: the more recent discriminative training scripts will not use this # script at all, they'll use get_degs.sh which combines the decoding # and egs-dumping into one script (to save disk space and disk I/O). # Begin configuration section. nj=4 cmd=run.pl sub_split=1 beam=13.0 frames_per_chunk=50 lattice_beam=7.0 self_loop_scale=0.1 acwt=0.1 max_active=5000 min_active=200 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) num_threads=1 # number of threads of decoder [only applicable if not looped, for now] online_ivector_dir= determinize=true minimize=false ivector_scale=1.0 extra_left_context=0 extra_right_context=0 extra_left_context_initial=-1 extra_right_context_final=-1 # End configuration section. echo "$0 $@" # Print the command line for logging [ -f ./path.sh ] && . ./path.sh; # source the path. . parse_options.sh || exit 1; num_threads=1 # Fixed to 1 for now if [ $# != 4 ]; then echo "Usage: steps/nnet3/make_denlats.sh [options] <data-dir> <lang-dir> <src-dir> <exp-dir>" echo " e.g.: steps/nnet3/make_denlats.sh data/train data/lang exp/nnet4 exp/nnet4_denlats" 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." echo " --num-threads <n> # number of threads per decoding job" exit 1; fi data=$1 lang=$2 srcdir=$3 dir=$4 extra_files= [ ! -z "$online_ivector_dir" ] && \ extra_files="$online_ivector_dir/ivector_online.scp $online_ivector_dir/ivector_period" for f in $data/feats.scp $lang/L.fst $srcdir/final.mdl $extra_files; do [ ! -f $f ] && echo "$0: expected file $f to exist" && exit 1; done sdata=$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 split_data.sh $data $nj || exit 1; echo $nj > $dir/num_jobs utils/lang/check_phones_compatible.sh $lang/phones.txt $srcdir/phones.txt || exit 1; oov=`cat $lang/oov.int` || exit 1; cp -rH $lang $dir/ # Compute grammar FST which corresponds to unigram decoding graph. new_lang="$dir/"$(basename "$lang") # 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 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(" "); }' | \ utils/make_unigram_grammar.pl | fstcompile | fstarcsort --sort_type=ilabel > $new_lang/G.fst \ || exit 1; utils/mkgraph.sh --self-loop-scale $self_loop_scale $new_lang $srcdir $dir/dengraph || exit 1; fi cmvn_opts=`cat $srcdir/cmvn_opts 2>/dev/null` cp $srcdir/cmvn_opts $dir 2>/dev/null echo "$0: feature type is raw" feats="ark,s,cs:apply-cmvn $cmvn_opts --utt2spk=ark:$sdata/JOB/utt2spk scp:$sdata/JOB/cmvn.scp scp:$sdata/JOB/feats.scp ark:- |" # if this job is interrupted by the user, we want any background jobs to be # killed too. cleanup() { local pids=$(jobs -pr) [ -n "$pids" ] && kill $pids } trap "cleanup" INT QUIT TERM EXIT if [ ! -z "$online_ivector_dir" ]; then ivector_period=$(cat $online_ivector_dir/ivector_period) || exit 1; ivector_opts="--online-ivectors=scp:$online_ivector_dir/ivector_online.scp --online-ivector-period=$ivector_period" fi if [ -f $srcdir/frame_subsampling_factor ]; then # e.g. for 'chain' systems frame_subsampling_opt="--frame-subsampling-factor=$(cat $srcdir/frame_subsampling_factor)" cp $srcdir/frame_subsampling_factor $dir fi lattice_determinize_cmd= if $determinize; then lattice_determinize_cmd="lattice-determinize-non-compact --acoustic-scale=$acwt --max-mem=$max_mem --minimize=$minimize --prune=true --beam=$lattice_beam ark:- ark:- |" fi if [ $sub_split -eq 1 ]; then $cmd --num-threads $num_threads JOB=1:$nj $dir/log/decode_den.JOB.log \ nnet3-latgen-faster$thread_string $ivector_opts $frame_subsampling_opt \ --frames-per-chunk=$frames_per_chunk \ --extra-left-context=$extra_left_context \ --extra-right-context=$extra_right_context \ --extra-left-context-initial=$extra_left_context_initial \ --extra-right-context-final=$extra_right_context_final \ --minimize=false --determinize-lattice=false \ --word-determinize=false --phone-determinize=false \ --max-active=$max_active --min-active=$min_active --beam=$beam \ --lattice-beam=$lattice_beam --acoustic-scale=$acwt --allow-partial=false \ --max-mem=$max_mem --word-symbol-table=$lang/words.txt $srcdir/final.mdl \ $dir/dengraph/HCLG.fst "$feats" \ "ark:|$lattice_determinize_cmd gzip -c >$dir/lat.JOB.gz" || exit 1 else # each job from 1 to $nj is split into multiple pieces (sub-split), and we aim # to have at most two jobs running at each time. The idea is that if we have stragglers # from one job, we can be processing another one at the same time. rm $dir/.error 2>/dev/null prev_pid= for n in `seq $[nj+1]`; do if [ $n -gt $nj ]; then this_pid= elif [ -f $dir/.done.$n ] && [ $dir/.done.$n -nt $srcdir/final.mdl ]; then echo "Not processing subset $n as already done (delete $dir/.done.$n if not)"; this_pid= else sdata2=$data/split$nj/$n/split${sub_split}utt; split_data.sh --per-utt $sdata/$n $sub_split || exit 1; mkdir -p $dir/log/$n mkdir -p $dir/part feats_subset=`echo $feats | sed s:JOB/:$n/split${sub_split}utt/JOB/:g` $cmd --num-threads $num_threads JOB=1:$sub_split $dir/log/$n/decode_den.JOB.log \ nnet3-latgen-faster$thread_string $ivector_opts $frame_subsampling_opt \ --frames-per-chunk=$frames_per_chunk \ --extra-left-context=$extra_left_context \ --extra-right-context=$extra_right_context \ --extra-left-context-initial=$extra_left_context_initial \ --extra-right-context-final=$extra_right_context_final \ --minimize=false --determinize-lattice=false \ --word-determinize=false --phone-determinize=false \ --max-active=$max_active --min-active=$min_active --beam=$beam \ --lattice-beam=$lattice_beam --acoustic-scale=$acwt --allow-partial=false \ --max-mem=$max_mem --word-symbol-table=$lang/words.txt $srcdir/final.mdl \ $dir/dengraph/HCLG.fst "$feats_subset" \ "ark:|$lattice_determinize_cmd gzip -c >$dir/lat.$n.JOB.gz" || touch $dir/.error & this_pid=$! fi if [ ! -z "$prev_pid" ]; then # Wait for the previous job; merge the previous set of lattices. wait $prev_pid [ -f $dir/.error ] && echo "$0: error generating denominator lattices" && exit 1; rm $dir/.merge_error 2>/dev/null echo Merging archives for data subset $prev_n for k in `seq $sub_split`; do gunzip -c $dir/lat.$prev_n.$k.gz || touch $dir/.merge_error; done | gzip -c > $dir/lat.$prev_n.gz || touch $dir/.merge_error; [ -f $dir/.merge_error ] && echo "$0: Merging lattices for subset $prev_n failed (or maybe some other error)" && exit 1; rm $dir/lat.$prev_n.*.gz touch $dir/.done.$prev_n fi prev_n=$n prev_pid=$this_pid done fi echo "$0: done generating denominator lattices." |