[scripts] tfrnnlm: Modify TensorFlow flag format for compatibility wi…

…th recent versions (#2760)

egs/ami/s5/local/tfrnnlm/run_lstm.sh

@@ -27,7 +27,7 @@ mkdir -p $dir
 if [ $stage -le 2 ]; then
 # the following script uses TensorFlow. You could use tools/extras/install_tensorflow_py.sh to install it
   $cuda_cmd $dir/train_rnnlm.log utils/parallel/limit_num_gpus.sh \
-    python steps/tfrnnlm/lstm.py --data-path=$dir --save-path=$dir/rnnlm --vocab-path=$dir/wordlist.rnn.final
+    python steps/tfrnnlm/lstm.py --data_path=$dir --save_path=$dir/rnnlm --vocab_path=$dir/wordlist.rnn.final
 fi
 
 final_lm=ami_fsh.o3g.kn

egs/ami/s5/local/tfrnnlm/run_lstm_fast.sh

@@ -27,7 +27,7 @@ mkdir -p $dir
 if [ $stage -le 2 ]; then
 # the following script uses TensorFlow. You could use tools/extras/install_tensorflow_py.sh to install it
   $cuda_cmd $dir/train_rnnlm.log utils/parallel/limit_num_gpus.sh \
-    python steps/tfrnnlm/lstm_fast.py --data-path=$dir --save-path=$dir/rnnlm --vocab-path=$dir/wordlist.rnn.final
+    python steps/tfrnnlm/lstm_fast.py --data_path=$dir --save_path=$dir/rnnlm --vocab_path=$dir/wordlist.rnn.final
 fi
 
 final_lm=ami_fsh.o3g.kn

egs/ami/s5/local/tfrnnlm/run_vanilla_rnnlm.sh

@@ -27,7 +27,7 @@ mkdir -p $dir
 if [ $stage -le 2 ]; then
 # the following script uses TensorFlow. You could use tools/extras/install_tensorflow_py.sh to install it
   $cuda_cmd $dir/train_rnnlm.log utils/parallel/limit_num_gpus.sh \
-    python steps/tfrnnlm/vanilla_rnnlm.py --data-path=$dir --save-path=$dir/rnnlm --vocab-path=$dir/wordlist.rnn.final
+    python steps/tfrnnlm/vanilla_rnnlm.py --data_path=$dir --save_path=$dir/rnnlm --vocab_path=$dir/wordlist.rnn.final
 fi
 
 final_lm=ami_fsh.o3g.kn

egs/wsj/s5/steps/tfrnnlm/lstm.py

@@ -16,8 +16,8 @@
 
 # this script trains a vanilla RNNLM with TensorFlow. 
 # to call the script, do
-# python steps/tfrnnlm/lstm.py --data-path=$datadir \
-#        --save-path=$savepath --vocab-path=$rnn.wordlist [--hidden-size=$size]
+# python steps/tfrnnlm/lstm.py --data_path=$datadir \
+#        --save_path=$savepath --vocab_path=$rnn.wordlist [--hidden-size=$size]
 #
 # One example recipe is at egs/ami/s5/local/tfrnnlm/run_lstm.sh
 
@@ -38,15 +38,15 @@
 flags = tf.flags
 logging = tf.logging
 
-flags.DEFINE_integer("hidden-size", 200, "hidden dim of RNN")
+flags.DEFINE_integer("hidden_size", 200, "hidden dim of RNN")
 
-flags.DEFINE_string("data-path", None,
+flags.DEFINE_string("data_path", None,
                     "Where the training/test data is stored.")
-flags.DEFINE_string("vocab-path", None,
+flags.DEFINE_string("vocab_path", None,
                     "Where the wordlist file is stored.")
-flags.DEFINE_string("save-path", None,
+flags.DEFINE_string("save_path", None,
                     "Model output directory.")
-flags.DEFINE_bool("use-fp16", False,
+flags.DEFINE_bool("use_fp16", False,
                   "Train using 16-bit floats instead of 32bit floats")
 
 FLAGS = flags.FLAGS

egs/wsj/s5/steps/tfrnnlm/lstm_fast.py

@@ -16,8 +16,8 @@
 
 # this script trains a vanilla RNNLM with TensorFlow. 
 # to call the script, do
-# python steps/tfrnnlm/lstm_fast.py --data-path=$datadir \
-#        --save-path=$savepath --vocab-path=$rnn.wordlist [--hidden-size=$size]
+# python steps/tfrnnlm/lstm_fast.py --data_path=$datadir \
+#        --save_path=$savepath --vocab_path=$rnn.wordlist [--hidden-size=$size]
 #
 # One example recipe is at egs/ami/s5/local/tfrnnlm/run_vanilla_rnnlm.sh
 
@@ -38,15 +38,15 @@
 flags = tf.flags
 logging = tf.logging
 
-flags.DEFINE_integer("hidden-size", 200, "hidden dim of RNN")
+flags.DEFINE_integer("hidden_size", 200, "hidden dim of RNN")
 
-flags.DEFINE_string("data-path", None,
+flags.DEFINE_string("data_path", None,
                     "Where the training/test data is stored.")
-flags.DEFINE_string("vocab-path", None,
+flags.DEFINE_string("vocab_path", None,
                     "Where the wordlist file is stored.")
-flags.DEFINE_string("save-path", None,
+flags.DEFINE_string("save_path", None,
                     "Model output directory.")
-flags.DEFINE_bool("use-fp16", False,
+flags.DEFINE_bool("use_fp16", False,
                   "Train using 16-bit floats instead of 32bit floats")
 
 FLAGS = flags.FLAGS

egs/wsj/s5/steps/tfrnnlm/vanilla_rnnlm.py

@@ -16,8 +16,8 @@
 
 # this script trains a vanilla RNNLM with TensorFlow. 
 # to call the script, do
-# python steps/tfrnnlm/vanilla_rnnlm.py --data-path=$datadir \
-#        --save-path=$savepath --vocab-path=$rnn.wordlist [--hidden-size=$size]
+# python steps/tfrnnlm/vanilla_rnnlm.py --data_path=$datadir \
+#        --save_path=$savepath --vocab_path=$rnn.wordlist [--hidden-size=$size]
 #
 # One example recipe is at egs/ami/s5/local/tfrnnlm/run_vanilla_rnnlm.sh
 
@@ -38,15 +38,15 @@
 flags = tf.flags
 logging = tf.logging
 
-flags.DEFINE_integer("hidden-size", 200, "hidden dim of RNN")
+flags.DEFINE_integer("hidden_size", 200, "hidden dim of RNN")
 
-flags.DEFINE_string("data-path", None,
+flags.DEFINE_string("data_path", None,
                     "Where the training/test data is stored.")
-flags.DEFINE_string("vocab-path", None,
+flags.DEFINE_string("vocab_path", None,
                     "Where the wordlist file is stored.")
-flags.DEFINE_string("save-path", None,
+flags.DEFINE_string("save_path", None,
                     "Model output directory.")
-flags.DEFINE_bool("use-fp16", False,
+flags.DEFINE_bool("use_fp16", False,
                   "Train using 16-bit floats instead of 32bit floats")
 
 FLAGS = flags.FLAGS