[egs] python3 compatibility in example scripts (#3126)

kaldi-asr · Mar 17, 2019 · 61637e6 · 61637e6
1 parent 461b50c
commit 61637e6
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Showing 256 changed files with 256 additions and 256 deletions.
diff --git a/egs/aishell/s5/local/chain/tuning/run_tdnn_1a.sh b/egs/aishell/s5/local/chain/tuning/run_tdnn_1a.sh
@@ -90,7 +90,7 @@ if [ $stage -le 10 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $treedir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/aishell/s5/local/chain/tuning/run_tdnn_2a.sh b/egs/aishell/s5/local/chain/tuning/run_tdnn_2a.sh
@@ -92,7 +92,7 @@ if [ $stage -le 10 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $treedir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/aishell2/s5/local/chain/tuning/run_tdnn_1a.sh b/egs/aishell2/s5/local/chain/tuning/run_tdnn_1a.sh
@@ -103,7 +103,7 @@ fi
 if [ $stage -le 10 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
   num_targets=$(tree-info $treedir/tree | grep num-pdfs | awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
   opts="l2-regularize=0.002"
   linear_opts="orthonormal-constraint=1.0"
   output_opts="l2-regularize=0.0005 bottleneck-dim=256"

diff --git a/egs/aishell2/s5/local/chain/tuning/run_tdnn_1b.sh b/egs/aishell2/s5/local/chain/tuning/run_tdnn_1b.sh
@@ -150,7 +150,7 @@ if [ $stage -le 10 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
   feat_dim=$(feat-to-dim scp:data/${train_set}_hires/feats.scp -)
   num_targets=$(tree-info $treedir/tree | grep num-pdfs | awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
   opts="l2-regularize=0.002"
   linear_opts="orthonormal-constraint=1.0"
   output_opts="l2-regularize=0.0005 bottleneck-dim=256"

diff --git a/egs/ami/s5b/local/chain/multi_condition/tuning/run_tdnn_1a.sh b/egs/ami/s5b/local/chain/multi_condition/tuning/run_tdnn_1a.sh
@@ -220,7 +220,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
   affine_opts="l2-regularize=0.01 dropout-proportion=0.0 dropout-per-dim=true dropout-per-dim-continuous=true"
   tdnnf_opts="l2-regularize=0.01 dropout-proportion=0.0 bypass-scale=0.66"
   linear_opts="l2-regularize=0.01 orthonormal-constraint=-1.0"

diff --git a/egs/ami/s5b/local/chain/multi_condition/tuning/run_tdnn_lstm_1a.sh b/egs/ami/s5b/local/chain/multi_condition/tuning/run_tdnn_lstm_1a.sh
@@ -211,7 +211,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/ami/s5b/local/chain/multi_condition/tuning/run_tdnn_lstm_1b.sh b/egs/ami/s5b/local/chain/multi_condition/tuning/run_tdnn_lstm_1b.sh
@@ -235,7 +235,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
   tdnn_opts="l2-regularize=0.006"
   lstm_opts="l2-regularize=0.0025 decay-time=20 dropout-proportion=0.0"
   output_opts="l2-regularize=0.001"

diff --git a/egs/ami/s5b/local/chain/tuning/run_cnn_tdnn_lstm_1a.sh b/egs/ami/s5b/local/chain/tuning/run_cnn_tdnn_lstm_1a.sh
@@ -184,7 +184,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   lstm_opts="decay-time=20"
 

diff --git a/egs/ami/s5b/local/chain/tuning/run_cnn_tdnn_lstm_1b.sh b/egs/ami/s5b/local/chain/tuning/run_cnn_tdnn_lstm_1b.sh
@@ -176,7 +176,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   lstm_opts="decay-time=20 dropout-proportion=0"
 

diff --git a/egs/ami/s5b/local/chain/tuning/run_cnn_tdnn_lstm_1c.sh b/egs/ami/s5b/local/chain/tuning/run_cnn_tdnn_lstm_1c.sh
@@ -185,7 +185,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   lstm_opts="decay-time=40"
 

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_1b.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_1b.sh
@@ -164,7 +164,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_1c.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_1c.sh
@@ -151,7 +151,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_1d.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_1d.sh
@@ -163,7 +163,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_1e.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_1e.sh
@@ -161,7 +161,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_1f.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_1f.sh
@@ -165,7 +165,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_1g.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_1g.sh
@@ -166,7 +166,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_1h.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_1h.sh
@@ -167,7 +167,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_1i.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_1i.sh
@@ -168,7 +168,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
   opts="l2-regularize=0.02"
   output_opts="l2-regularize=0.004"
 

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1a.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1a.sh
@@ -171,7 +171,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1b.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1b.sh
@@ -173,7 +173,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1c.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1c.sh
@@ -172,7 +172,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1d.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1d.sh
@@ -172,7 +172,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1e.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1e.sh
@@ -174,7 +174,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1f.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1f.sh
@@ -173,7 +173,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1g.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1g.sh
@@ -174,7 +174,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1h.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1h.sh
@@ -171,7 +171,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1i.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1i.sh
@@ -174,7 +174,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1j.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1j.sh
@@ -181,7 +181,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   lstm_opts="decay-time=20"
 

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1k.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1k.sh
@@ -177,7 +177,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   lstm_opts="decay-time=20"
 

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1l.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1l.sh
@@ -224,7 +224,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1m.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1m.sh
@@ -226,7 +226,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   lstm_opts="decay-time=20 dropout-proportion=0.0"
 

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1n.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1n.sh
@@ -178,7 +178,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1o.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_1o.sh
@@ -182,7 +182,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
   tdnn_opts="l2-regularize=0.025"
   lstm_opts="l2-regularize=0.01"
   output_opts="l2-regularize=0.004"

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_bs_1a.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_lstm_bs_1a.sh
@@ -180,7 +180,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
   tdnn_opts="l2-regularize=0.003"
   lstm_opts="l2-regularize=0.005"
   output_opts="l2-regularize=0.001"

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_opgru_1a.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_opgru_1a.sh
@@ -178,7 +178,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
   gru_opts="dropout-per-frame=true dropout-proportion=0.0"
 
   mkdir -p $dir/configs

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_opgru_1b.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_opgru_1b.sh
@@ -177,7 +177,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
   gru_opts="dropout-per-frame=true dropout-proportion=0.0"
 
   mkdir -p $dir/configs

diff --git a/egs/ami/s5b/local/chain/tuning/run_tdnn_opgru_1c.sh b/egs/ami/s5b/local/chain/tuning/run_tdnn_opgru_1c.sh
@@ -176,7 +176,7 @@ if [ $stage -le 15 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
   gru_opts="dropout-per-frame=true dropout-proportion=0.0"
 
   mkdir -p $dir/configs

diff --git a/egs/aspire/s5/local/chain/tuning/run_blstm_7b.sh b/egs/aspire/s5/local/chain/tuning/run_blstm_7b.sh
@@ -138,7 +138,7 @@ if [ $stage -le 11 ]; then
 
   num_targets=$(tree-info $treedir/tree | grep num-pdfs | awk '{print $2}')
   [ -z $num_targets ] && { echo "$0: error getting num-targets"; exit 1; }
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   lstm_opts="decay-time=20"
 

diff --git a/egs/aspire/s5/local/chain/tuning/run_tdnn_7b.sh b/egs/aspire/s5/local/chain/tuning/run_tdnn_7b.sh
@@ -136,7 +136,7 @@ if [ $stage -le 11 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $treedir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/aspire/s5/local/chain/tuning/run_tdnn_lstm_1a.sh b/egs/aspire/s5/local/chain/tuning/run_tdnn_lstm_1a.sh
@@ -151,7 +151,7 @@ if [ $stage -le 12 ]; then
   echo "$0: creating neural net configs using the xconfig parser";
 
   num_targets=$(tree-info $treedir/tree |grep num-pdfs|awk '{print $2}')
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   lstm_opts="decay-time=40"
 

diff --git a/egs/babel/s5d/local/chain/tuning/run_tdnn.sh b/egs/babel/s5d/local/chain/tuning/run_tdnn.sh
@@ -128,7 +128,7 @@ if [ $stage -le 17 ]; then
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
   [ -z $num_targets ] && { echo "$0: error getting num-targets"; exit 1; }
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
 
   mkdir -p $dir/configs
   cat <<EOF > $dir/configs/network.xconfig

diff --git a/egs/babel/s5d/local/chain/tuning/run_tdnn_lstm.sh b/egs/babel/s5d/local/chain/tuning/run_tdnn_lstm.sh
@@ -129,7 +129,7 @@ if [ $stage -le 17 ]; then
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
   [ -z $num_targets ] && { echo "$0: error getting num-targets"; exit 1; }
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
   lstm_opts="decay-time=20"
   label_delay=5
 

diff --git a/egs/babel/s5d/local/chain/tuning/run_tdnn_lstm_bab1.sh b/egs/babel/s5d/local/chain/tuning/run_tdnn_lstm_bab1.sh
@@ -127,7 +127,7 @@ if [ $stage -le 17 ]; then
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
   [ -z $num_targets ] && { echo "$0: error getting num-targets"; exit 1; }
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
   lstm_opts="decay-time=20"
   label_delay=5
 

diff --git a/egs/babel/s5d/local/chain/tuning/run_tdnn_lstm_bab2.sh b/egs/babel/s5d/local/chain/tuning/run_tdnn_lstm_bab2.sh
@@ -127,7 +127,7 @@ if [ $stage -le 17 ]; then
 
   num_targets=$(tree-info $tree_dir/tree |grep num-pdfs|awk '{print $2}')
   [ -z $num_targets ] && { echo "$0: error getting num-targets"; exit 1; }
-  learning_rate_factor=$(echo "print 0.5/$xent_regularize" | python)
+  learning_rate_factor=$(echo "print (0.5/$xent_regularize)" | python)
   lstm_opts="decay-time=20"
   label_delay=5