diff --git a/hpvm/projects/keras/keras_frontend/approxhpvm_translator.py b/hpvm/projects/keras/keras_frontend/approxhpvm_translator.py
index 87a55913d997c6a893b5075ace6d07f988db0c29..8f39d77987fe0a4b595f48276480b80187047ea2 100644
--- a/hpvm/projects/keras/keras_frontend/approxhpvm_translator.py
+++ b/hpvm/projects/keras/keras_frontend/approxhpvm_translator.py
@@ -459,7 +459,7 @@ class TensorRtTranslator:
 
       if strides[0] > 1 and cur_node.padding.strip() == "same":
         print ("!ERROR: Same Padding not supported for Conv with Stride > 1")
-        print ("Use: ZeroPadding2D(padding=(" + str(padding) + "," + str(padding) + "));\n");
+        print ("Use: ZeroPadding2D(padding=(" + str(padding) + "," + str(padding) + ")) before the Conv2D/DepthwiseConv2D Operator  \n");
         sys.exit(0)
 
       # NOTE: For Json (tuning config) file generation
@@ -467,8 +467,6 @@ class TensorRtTranslator:
         self.addConvOverheads(weights, padding, strides)
   
       elif layer_type == "DepthwiseConv2D":
-        #self.json_str += "depthwise_convolution_" + str(self.op_count) + " : 0, \n"
-        #self.op_count += 1
         self.addBaselineKnob("depthwise_convolution")
 
     
@@ -1148,7 +1146,7 @@ def translate_to_approxhpvm(model,
   if reload_weights:
     print ("NOTE: Using existing pretrained weights \n")
   else:
-    print ("NOTE: dumping new set of weights \n")
+    print ("NOTE: Translating Keras .h5 file to HPVM .bin files  \n")
     
   print ("-- Weight Files Under : ", weights_dir)
   print ("-- TensorRT src : ", src_dir + "/src.cc")