Remove attempts to install a rnnlm from all recipes

egs/librispeech/s5/RESULTS

@@ -164,37 +164,6 @@
 %WER 17.16 [ 8982 / 52343, 855 ins, 1421 del, 6706 sub ] exp/nnet2_online/nnet_a_online/decode_test_other_tgmed/wer_12
 %WER 18.90 [ 9891 / 52343, 798 ins, 1786 del, 7307 sub ] exp/nnet2_online/nnet_a_online/decode_test_other_tgsmall/wer_13
 
-# RNNLM rescoring of tri6b (rnnlm-hs-0.1b hidden=150 direct=4.0Gb)
-%WER 7.39 [ 4023 / 54402, 540 ins, 444 del, 3039 sub ] exp/tri6b/decode_tglarge_dev_clean/wer_13_1.0
-%WER 7.06 [ 3839 / 54402, 547 ins, 401 del, 2891 sub ] exp/tri6b/decode_tglarge_dev_clean_rnnlm-hs-0.1b_h150-me5-1000_L0.25/wer_13_1.0
-%WER 7.14 [ 3883 / 54402, 579 ins, 364 del, 2940 sub ] exp/tri6b/decode_tglarge_dev_clean_rnnlm-hs-0.1b_h150-me5-1000_L0.5/wer_13_1.0
-%WER 7.54 [ 4103 / 54402, 651 ins, 343 del, 3109 sub ] exp/tri6b/decode_tglarge_dev_clean_rnnlm-hs-0.1b_h150-me5-1000_L0.75/wer_12_1.0
-
-%WER 21.31 [ 10858 / 50948, 1525 ins, 1151 del, 8182 sub ] exp/tri6b/decode_tglarge_dev_other/wer_17_0.0
-%WER 20.77 [ 10583 / 50948, 1387 ins, 1222 del, 7974 sub ] exp/tri6b/decode_tglarge_dev_other_rnnlm-hs-0.1b_h150-me5-1000_L0.25/wer_17_0.5
-%WER 20.88 [ 10638 / 50948, 1456 ins, 1148 del, 8034 sub ] exp/tri6b/decode_tglarge_dev_other_rnnlm-hs-0.1b_h150-me5-1000_L0.5/wer_16_0.5
-%WER 21.37 [ 10890 / 50948, 1518 ins, 1126 del, 8246 sub ] exp/tri6b/decode_tglarge_dev_other_rnnlm-hs-0.1b_h150-me5-1000_L0.75/wer_17_0.5
-
-%WER 9.21 [ 5012 / 54402, 703 ins, 510 del, 3799 sub ] exp/tri6b/decode_tgmed_dev_clean/wer_14_0.0
-%WER 7.97 [ 4334 / 54402, 579 ins, 465 del, 3290 sub ] exp/tri6b/decode_tgmed_dev_clean_rnnlm-hs-0.1b_h150-me5-1000_L0.25/wer_14_0.5
-%WER 7.77 [ 4226 / 54402, 615 ins, 394 del, 3217 sub ] exp/tri6b/decode_tgmed_dev_clean_rnnlm-hs-0.1b_h150-me5-1000_L0.5/wer_14_0.5
-%WER 7.97 [ 4338 / 54402, 614 ins, 420 del, 3304 sub ] exp/tri6b/decode_tgmed_dev_clean_rnnlm-hs-0.1b_h150-me5-1000_L0.75/wer_13_1.0
-
-%WER 24.27 [ 12365 / 50948, 1365 ins, 1591 del, 9409 sub ] exp/tri6b/decode_tgmed_dev_other/wer_17_0.0
-%WER 22.76 [ 11596 / 50948, 1557 ins, 1239 del, 8800 sub ] exp/tri6b/decode_tgmed_dev_other_rnnlm-hs-0.1b_h150-me5-1000_L0.25/wer_15_0.0
-%WER 22.50 [ 11465 / 50948, 1586 ins, 1155 del, 8724 sub ] exp/tri6b/decode_tgmed_dev_other_rnnlm-hs-0.1b_h150-me5-1000_L0.5/wer_15_0.0
-%WER 22.56 [ 11495 / 50948, 1597 ins, 1143 del, 8755 sub ] exp/tri6b/decode_tgmed_dev_other_rnnlm-hs-0.1b_h150-me5-1000_L0.75/wer_17_0.0
-
-%WER 10.50 [ 5711 / 54402, 693 ins, 674 del, 4344 sub ] exp/tri6b/decode_tgsmall_dev_clean/wer_15_0.0
-%WER 8.60 [ 4680 / 54402, 700 ins, 445 del, 3535 sub ] exp/tri6b/decode_tgsmall_dev_clean_rnnlm-hs-0.1b_h150-me5-1000_L0.25/wer_14_0.0
-%WER 8.17 [ 4447 / 54402, 723 ins, 352 del, 3372 sub ] exp/tri6b/decode_tgsmall_dev_clean_rnnlm-hs-0.1b_h150-me5-1000_L0.5/wer_13_0.0
-%WER 8.34 [ 4536 / 54402, 732 ins, 354 del, 3450 sub ] exp/tri6b/decode_tgsmall_dev_clean_rnnlm-hs-0.1b_h150-me5-1000_L0.75/wer_14_0.0
-
-%WER 26.22 [ 13358 / 50948, 1330 ins, 1955 del, 10073 sub ] exp/tri6b/decode_tgsmall_dev_other/wer_17_0.0
-%WER 24.06 [ 12258 / 50948, 1526 ins, 1394 del, 9338 sub ] exp/tri6b/decode_tgsmall_dev_other_rnnlm-hs-0.1b_h150-me5-1000_L0.25/wer_15_0.0
-%WER 23.53 [ 11988 / 50948, 1585 ins, 1267 del, 9136 sub ] exp/tri6b/decode_tgsmall_dev_other_rnnlm-hs-0.1b_h150-me5-1000_L0.5/wer_15_0.0
-%WER 23.61 [ 12030 / 50948, 1571 ins, 1268 del, 9191 sub ] exp/tri6b/decode_tgsmall_dev_other_rnnlm-hs-0.1b_h150-me5-1000_L0.75/wer_18_0.0
-
 # RNNLM rescoring of tri6b (faster-rnnlm hidden=150 direct=4.0Gb, Hierarchical Softmax)
 %WER 7.39 [ 4023 / 54402, 540 ins, 444 del, 3039 sub ] exp/tri6b/decode_tglarge_dev_clean/wer_13_1.0
 %WER 7.03 [ 3823 / 54402, 608 ins, 343 del, 2872 sub ] exp/tri6b/decode_tglarge_dev_clean_faster-rnnlm_h150-me5-1000_L0.25/wer_13_0.5

egs/librispeech/s5/local/run_rnnlm.sh

@@ -56,19 +56,8 @@ fi
 
 if [ $stage -le 2 ]; then
   echo "$0: Training RNNLM. It will probably take several hours."
+  $KALDI_ROOT/tools/extras/check_for_rnnlm.sh "$rnnlm_ver" || exit 1
   rnnlm_path="$(readlink -f $KALDI_ROOT)/tools/$rnnlm_ver/rnnlm"
-  if [ -f "$rnnlm_path" ]; then
-      echo "$0: Using binary $rnnlm_path"
-  else
-      if [ $rnnlm_ver == "rnnlm-hs-0.1b" ]; then
-          echo "$0: ERROR RNNLM-HS is not installed. Use extras/install_rnnlm_hs.sh to install it"
-      elif [ $rnnlm_ver == "faster-rnnlm" ]; then
-          echo "$0: ERROR Faster RNNLM is not installed. Use extras/install_faster_rnnlm.sh to install it"
-      else
-          echo "$0: ERROR Cannot find $rnnlm_path"
-      fi
-      exit 1
-  fi
   cd $s5_dir
   mkdir -p $modeldir
   echo "$0: Model file: $modeldir/rnnlm"

egs/librispeech/s5/run.sh

@@ -330,16 +330,8 @@ steps/train_quick.sh --cmd "$train_cmd" \
 # steps/cleanup/debug_lexicon.sh --remove-stress true  --nj 200 --cmd "$train_cmd" data/train_clean_100 \
 #    data/lang exp/tri6b data/local/dict/lexicon.txt exp/debug_lexicon_100h
 
-# #Perform rescoring of tri6b be means of rnnlm-hs
-# #Attention: with default settings requires 4 GB of memory per rescoring job, so commenting this out by default
-# wait && local/run_rnnlm.sh \
-#     --rnnlm-ver "rnnlm-hs-0.1b" \
-#     --rnnlm-options "-hidden 150 -direct 1000 -direct-order 5" \
-#     --rnnlm_tag "h150-me5-1000" $data data/local/lm
-
 # #Perform rescoring of tri6b be means of faster-rnnlm
-# #Results are identical to results obtained by rnnlm-hs (or better)
+# #Attention: with default settings requires 4 GB of memory per rescoring job, so commenting this out by default
-# #Hovewer, faster-rnnlm training is several times faster
 # wait && local/run_rnnlm.sh \
 #     --rnnlm-ver "faster-rnnlm" \
 #     --rnnlm-options "-hidden 150 -direct 1000 -direct-order 5" \

egs/sprakbanken/s5/local/sprak_train_rnnlms.sh

@@ -28,32 +28,10 @@ devtext=$2
 dir=$3
 mkdir -p $dir
 
+$KALDI_ROOT/tools/extras/check_for_rnnlm.sh "$rnnlm_ver" || exit 1
 export PATH=$KALDI_ROOT/tools/$rnnlm_ver:$PATH
 
 
-( # First make sure the kaldi_lm toolkit is installed.
- # Note: this didn't work out of the box for me, I had to
- # change the g++ version to just "g++" (no cross-compilation
- # needed for me as I ran on a machine that had been setup
- # as 64 bit by default.
- cd $KALDI_ROOT/tools || exit 1;
- if [ -d $rnnlm_ver ]; then
-   echo Not installing the rnnlm toolkit since it is already there.
- else
-   echo Downloading and installing the rnnlm tools
-   # http://www.fit.vutbr.cz/~imikolov/rnnlm/$rnnlm_ver.tgz
-   if [ ! -f $rnnlm_ver.tgz ]; then
-     wget http://www.fit.vutbr.cz/~imikolov/rnnlm/$rnnlm_ver.tgz || exit 1;
-   fi
-   mkdir $rnnlm_ver
-   cd $rnnlm_ver
-   tar -xvzf ../$rnnlm_ver.tgz || exit 1;
-   make CC=g++ || exit 1;
-   echo Done making the rnnlm tools
- fi
-) || exit 1;
-
-
 if [ ! -f $srcdir/transcripts.uniq ] || [ ! -f $srcdir/lexicon.txt ]; then
   echo "Expecting $srcdir/transcripts.uniq and $srcdir/lexicon.txt to exist";
   exit 1;

egs/wsj/s5/local/run_rnnlm-hs_tri3b.sh

@@ -7,42 +7,42 @@ echo "$0 $@"  # Print the command line for logging
 
 . cmd.sh
  # This step interpolates a small RNNLM (with weight 0.15) with the 4-gram LM.
-steps/rnnlmrescore.sh --rnnlm_ver rnnlm-hs-0.1b \
+steps/rnnlmrescore.sh --rnnlm_ver faster-rnnlm \
   --N 100 --cmd "$decode_cmd" --inv-acwt 17 \
   0.15 data/lang${lang_suffix}_test_bd_fg \
   data/local/rnnlm-hs.h30.voc10k data/test_eval92 \
   exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg \
   exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg_rnnlm-hs30_0.15 || exit 1;
 
-steps/rnnlmrescore.sh --rnnlm_ver rnnlm-hs-0.1b \
+steps/rnnlmrescore.sh --rnnlm_ver faster-rnnlm \
   --N 100 --cmd "$decode_cmd" --inv-acwt 17 \
   0.3 data/lang${lang_suffix}_test_bd_fg \
   data/local/rnnlm-hs.h100.voc20k data/test_eval92 \
   exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg \
   exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg_rnnlm-hs100_0.3 || exit 1;
 
-steps/rnnlmrescore.sh --rnnlm_ver rnnlm-hs-0.1b \
+steps/rnnlmrescore.sh --rnnlm_ver faster-rnnlm \
   --N 100 --cmd "$decode_cmd" --inv-acwt 17 \
   0.3 data/lang${lang_suffix}_test_bd_fg \
   data/local/rnnlm-hs.h300.voc30k data/test_eval92 \
   exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg \
   exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg_rnnlm-hs300_0.3 || exit 1;
 
-steps/rnnlmrescore.sh --rnnlm_ver rnnlm-hs-0.1b \
+steps/rnnlmrescore.sh --rnnlm_ver faster-rnnlm \
   --N 100 --cmd "$decode_cmd" --inv-acwt 17 \
   0.3 data/lang${lang_suffix}_test_bd_fg \
   data/local/rnnlm-hs.h400.voc40k data/test_eval92 \
   exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg \
   exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg_rnnlm-hs400_0.3 || exit 1;
 
-steps/rnnlmrescore.sh --rnnlm_ver rnnlm-hs-0.1b \
+steps/rnnlmrescore.sh --rnnlm_ver faster-rnnlm \
   --N 1000 --cmd "$decode_cmd" --inv-acwt 17 \
   0.3 data/lang${lang_suffix}_test_bd_fg \
   data/local/rnnlm-hs.h400.voc40k data/test_eval92 \
   exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg \
   exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg_rnnlm-hs400_0.3_N1000 
 
-steps/rnnlmrescore.sh --rnnlm_ver rnnlm-hs-0.1b \
+steps/rnnlmrescore.sh --rnnlm_ver faster-rnnlm \
   --N 1000 --cmd "$decode_cmd" --inv-acwt 17 \
   0.3 data/lang${lang_suffix}_test_bd_fg \
   data/local/rnnlm-hs.h400.voc40k data/test_eval92 \
@@ -53,7 +53,7 @@ steps/rnnlmrescore.sh --rnnlm_ver rnnlm-hs-0.1b \
 dir=exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg_rnnlm-hs400_0.4_N1000
 rm -rf $dir
 cp -r exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg_rnnlm-hs400_0.3_N1000 $dir
-steps/rnnlmrescore.sh --rnnlm_ver rnnlm-hs-0.1b \
+steps/rnnlmrescore.sh --rnnlm_ver faster-rnnlm \
   --stage 7 --N 1000 --cmd "$decode_cmd" --inv-acwt 17 \
   0.4 data/lang${lang_suffix}_test_bd_fg \
   data/local/rnnlm-hs.h400.voc40k data/test_eval92 \
@@ -62,7 +62,7 @@ steps/rnnlmrescore.sh --rnnlm_ver rnnlm-hs-0.1b \
 dir=exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg_rnnlm-hs400_0.4
 rm -rf $dir
 cp -r exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg_rnnlm-hs400_0.3 $dir
-steps/rnnlmrescore.sh --rnnlm_ver rnnlm-hs-0.1b \
+steps/rnnlmrescore.sh --rnnlm_ver faster-rnnlm \
   --stage 7 --N 100 --cmd "$decode_cmd" --inv-acwt 17 \
   0.4 data/lang${lang_suffix}_test_bd_fg \
   data/local/rnnlm-hs.h400.voc40k data/test_eval92 \
@@ -71,13 +71,13 @@ steps/rnnlmrescore.sh --rnnlm_ver rnnlm-hs-0.1b \
 dir=exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg_rnnlm-hs400_0.15
 rm -rf $dir
 cp -r exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg_rnnlm-hs400_0.3 $dir
-steps/rnnlmrescore.sh --rnnlm_ver rnnlm-hs-0.1b \
+steps/rnnlmrescore.sh --rnnlm_ver faster-rnnlm \
   --stage 7 --N 100 --cmd "$decode_cmd" --inv-acwt 17 \
   0.15 data/lang${lang_suffix}_test_bd_fg \
   data/local/rnnlm-hs.h400.voc40k data/test_eval92 \
   exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg $dir
 
-steps/rnnlmrescore.sh --rnnlm_ver rnnlm-hs-0.1b \
+steps/rnnlmrescore.sh --rnnlm_ver faster-rnnlm \
   --N 10 --cmd "$decode_cmd" --inv-acwt 17 \
   0.3 data/lang${lang_suffix}_test_bd_fg \
   data/local/rnnlm-hs.h400.voc40k data/test_eval92 \
@@ -88,7 +88,7 @@ steps/rnnlmrescore.sh --rnnlm_ver rnnlm-hs-0.1b \
 dir=exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg_rnnlm-hs400_0.4_N1000
 rm -rf $dir
 cp -r exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg_rnnlm-hs400_0.3_N1000 $dir
-steps/rnnlmrescore.sh --rnnlm_ver rnnlm-hs-0.1b \
+steps/rnnlmrescore.sh --rnnlm_ver faster-rnnlm \
   --stage 7 --N 1000 --cmd "$decode_cmd" --inv-acwt 17 \
   0.4 data/lang${lang_suffix}_test_bd_fg \
   data/local/rnnlm-hs.h400.voc40k data/test_eval92 \
@@ -97,7 +97,7 @@ steps/rnnlmrescore.sh --rnnlm_ver rnnlm-hs-0.1b \
 dir=exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg_rnnlm-hs400_0.15_N1000
 rm -rf $dir
 cp -r exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg_rnnlm-hs400_0.3_N1000 $dir
-steps/rnnlmrescore.sh --rnnlm_ver rnnlm-hs-0.1b \
+steps/rnnlmrescore.sh --rnnlm_ver faster-rnnlm \
   --stage 7 --N 1000 --cmd "$decode_cmd" --inv-acwt 17 \
   0.15 data/lang${lang_suffix}_test_bd_fg \
   data/local/rnnlm-hs.h400.voc40k data/test_eval92 \
@@ -106,7 +106,7 @@ steps/rnnlmrescore.sh --rnnlm_ver rnnlm-hs-0.1b \
 dir=exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg_rnnlm-hs400_0.5_N1000
 rm -rf $dir
 cp -r exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg_rnnlm-hs400_0.3_N1000 $dir
-steps/rnnlmrescore.sh --rnnlm_ver rnnlm-hs-0.1b \
+steps/rnnlmrescore.sh --rnnlm_ver faster-rnnlm \
   --stage 7 --N 1000 --cmd "$decode_cmd" --inv-acwt 17 \
   0.5 data/lang${lang_suffix}_test_bd_fg \
   data/local/rnnlm-hs.h400.voc40k data/test_eval92 \
@@ -115,7 +115,7 @@ steps/rnnlmrescore.sh --rnnlm_ver rnnlm-hs-0.1b \
 dir=exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg_rnnlm-hs400_0.75_N1000
 rm -rf $dir
 cp -r exp/tri3b/decode${lang_suffix}_bd_tgpr_eval92_fg_rnnlm-hs400_0.3_N1000 $dir
-steps/rnnlmrescore.sh --rnnlm_ver rnnlm-hs-0.1b \
+steps/rnnlmrescore.sh --rnnlm_ver faster-rnnlm \
   --stage 7 --N 1000 --cmd "$decode_cmd" --inv-acwt 17 \
   0.75 data/lang${lang_suffix}_test_bd_fg \
   data/local/rnnlm-hs.h400.voc40k data/test_eval92 \

egs/wsj/s5/local/wsj_train_rnnlms.sh

@@ -38,39 +38,10 @@ dir=$1
 srcdir=data/local/dict${dict_suffix}_larger
 mkdir -p $dir
 
+$KALDI_ROOT/tools/extras/check_for_rnnlm.sh "$rnnlm_ver" || exit 1
 export PATH=$KALDI_ROOT/tools/$rnnlm_ver:$PATH
 
 
-( # First make sure the kaldi_lm toolkit is installed.
- # Note: this didn't work out of the box for me, I had to
- # change the g++ version to just "g++" (no cross-compilation
- # needed for me as I ran on a machine that had been setup
- # as 64 bit by default.
- cd $KALDI_ROOT/tools || exit 1;
- if [ -f $rnnlm_ver/rnnlm ]; then
-   echo Not installing the rnnlm toolkit since it is already there.
- else
-   if [ $rnnlm_ver == "rnnlm-hs-0.1b" ]; then
-       extras/install_rnnlm_hs.sh
-   elif [ $rnnlm_ver == "faster-rnnlm" ]; then
-       echo "ERROR Faster RNNLM is not installed. Use extras/install_faster_rnnlm.sh to install it"
-       exit 1
-   else
-       echo Downloading and installing the rnnlm tools
-       # http://www.fit.vutbr.cz/~imikolov/rnnlm/$rnnlm_ver.tgz
-       if [ ! -f $rnnlm_ver.tgz ]; then
-	   wget http://www.fit.vutbr.cz/~imikolov/rnnlm/$rnnlm_ver.tgz || exit 1;
-       fi
-       mkdir $rnnlm_ver
-       cd $rnnlm_ver
-       tar -xvzf ../$rnnlm_ver.tgz || exit 1;
-       make CC=g++ || exit 1;
-       echo Done making the rnnlm tools
-       fi
-   fi
-) || exit 1;
-
-
 if [ ! -f $srcdir/cleaned.gz -o ! -f $srcdir/lexicon.txt ]; then
   echo "Expecting files $srcdir/cleaned.gz and $srcdir/wordlist.final to exist";
   echo "You need to run local/wsj_extend_dict.sh before running this script."

egs/wsj/s5/run.sh

@@ -80,19 +80,19 @@ local/wsj_format_data.sh --lang-suffix "_nosp" || exit 1;
    (
        num_threads_rnnlm=8
        local/wsj_train_rnnlms.sh --dict-suffix "_nosp" \
-         --rnnlm_ver rnnlm-hs-0.1b --threads $num_threads_rnnlm \
+         --rnnlm_ver faster-rnnlm --threads $num_threads_rnnlm \
          --cmd "$decode_cmd --mem 1G --num-threads $num_threads_rnnlm" --bptt 4 --bptt-block 10 \
          --hidden 30  --nwords 10000 --direct 1000 data/local/rnnlm-hs.h30.voc10k  
        local/wsj_train_rnnlms.sh --dict-suffix "_nosp" \
-         --rnnlm_ver rnnlm-hs-0.1b --threads $num_threads_rnnlm \
+         --rnnlm_ver faster-rnnlm --threads $num_threads_rnnlm \
          --cmd "$decode_cmd --mem 1G --num-threads $num_threads_rnnlm" --bptt 4 --bptt-block 10 \
          --hidden 100 --nwords 20000 --direct 1500 data/local/rnnlm-hs.h100.voc20k 
        local/wsj_train_rnnlms.sh --dict-suffix "_nosp" \
-         --rnnlm_ver rnnlm-hs-0.1b --threads $num_threads_rnnlm \
+         --rnnlm_ver faster-rnnlm --threads $num_threads_rnnlm \
          --cmd "$decode_cmd --mem 1G --num-threads $num_threads_rnnlm" --bptt 4 --bptt-block 10 \
          --hidden 300 --nwords 30000 --direct 1500 data/local/rnnlm-hs.h300.voc30k 
        local/wsj_train_rnnlms.sh --dict-suffix "_nosp" \
-         --rnnlm_ver rnnlm-hs-0.1b --threads $num_threads_rnnlm \
+         --rnnlm_ver faster-rnnlm --threads $num_threads_rnnlm \
          --cmd "$decode_cmd --mem 1G --num-threads $num_threads_rnnlm" --bptt 4 --bptt-block 10 \
          --hidden 400 --nwords 40000 --direct 2000 data/local/rnnlm-hs.h400.voc40k 
    )
@@ -479,4 +479,4 @@ local/nnet/run_dnn.sh
 
 # # A couple of nnet3 recipes:
 # local/nnet3/run_tdnn_baseline.sh  # designed for exact comparison with nnet2 recipe
-# local/nnet3/run_tdnn.sh  # better absolute results
+# local/nnet3/run_tdnn.sh  # better absolute results

tools/extras/check_for_rnnlm.sh

@@ -0,0 +1,28 @@
+#!/usr/bin/env bash
+
+set -e
+
+if [ $# -ne 1 ]; then
+    echo "The scripts checks whether requested rnnlm binary exists in tools/<rnnlm_ver>/rnnlm"
+    echo
+    echo "Usage: $0 <rnnlm_ver>"
+    exit 1
+fi
+
+rnnlm_ver=$1
+rnnlm_path="$(readlink -f "$(dirname "$0")/../")/$rnnlm_ver/rnnlm"
+scriptname="$(basename "$0")"
+
+if [ -f "$rnnlm_path" ]; then
+    echo "$scriptname: Found binary $rnnlm_path"
+else
+    if [ $rnnlm_ver == "faster-rnnlm" ]; then
+        echo "$scriptname: ERROR Faster RNNLM is not installed. Use extras/install_faster_rnnlm.sh to install it"
+    elif [ $rnnlm_ver == "rnnlm-0.??" ]; then
+        echo "$scriptname: ERROR Class based RNNLM is not installed. Use extras/install_class_rnnlm.sh to install it"
+    else
+        echo "$scriptname: ERROR Cannot find $rnnlm_path. Neither know how to install it"
+    fi
+    exit 1
+fi
+

tools/extras/install_class_rnnlm.sh

@@ -0,0 +1,31 @@
+#!/usr/bin/env bash
+
+set -e
+
+if [ $# -ne 1 ]; then
+    echo "Download and install given rnnlm version from rnnlm.org"
+    echo
+    echo "Usage: $0 <rnnlm_ver> # e.g. $0 rnnlm-0.3e"
+    exit 1
+fi
+
+rnnlm_ver=$1
+tools_dir="$(readlink -f "$(dirname "$0")/../")"
+
+if [ "$(basename "$tools_dir")" != "tools" ]; then
+    echo "Cannot find tools/ dir. Am I in tools/extras?"
+    exit 1
+fi
+
+cd $tools_dir
+echo Downloading and installing the rnnlm tools
+# http://www.fit.vutbr.cz/~imikolov/rnnlm/$rnnlm_ver.tgz
+arc_file="$rnnlm_ver.tgz"
+if [ ! -f "$arc_file" ]; then
+    wget "http://www.fit.vutbr.cz/~imikolov/rnnlm/$rnnlm_ver.tgz" -O "$arc_file" || exit 1;
+fi
+mkdir $rnnlm_ver
+cd $rnnlm_ver
+tar -xvzf ../$rnnlm_ver.tgz || exit 1;
+make CC=g++ || exit 1;
+echo Done making the rnnlm tools