commenting number of cores for session

toolkit.py

@@ -43,15 +43,15 @@ from .utils import WeightedRobustScaler, weighted_quantile
 
 # configure number of cores
 # this doesn't seem to work, but at least with these settings keras only uses 4 processes
-import tensorflow as tf
-from keras import backend as K
-num_cores = 1
-config = tf.ConfigProto(intra_op_parallelism_threads=num_cores,
-                        inter_op_parallelism_threads=num_cores,
-                        allow_soft_placement=True,
-                        device_count = {'CPU': num_cores})
-session = tf.Session(config=config)
-K.set_session(session)
+# import tensorflow as tf
+# from keras import backend as K
+# num_cores = 1
+# config = tf.ConfigProto(intra_op_parallelism_threads=num_cores,
+#                         inter_op_parallelism_threads=num_cores,
+#                         allow_soft_placement=True,
+#                         device_count = {'CPU': num_cores})
+# session = tf.Session(config=config)
+# K.set_session(session)
 
 import ROOT