diff --git a/python/tvm/contrib/debugger/debug_runtime.py b/python/tvm/contrib/debugger/debug_runtime.py
index 9c81857339c6..7d150c7c3d34 100644
--- a/python/tvm/contrib/debugger/debug_runtime.py
+++ b/python/tvm/contrib/debugger/debug_runtime.py
@@ -85,7 +85,7 @@ class GraphModuleDebug(graph_runtime.GraphModule):
     Parameters
     ----------
     module : Module
-        The interal tvm module that holds the actual graph functions.
+        The internal tvm module that holds the actual graph functions.
 
     ctx : TVMContext
         The context this module is under.
@@ -188,7 +188,7 @@ def _run_debug(self):
                 out_tensor = array(out_tensor)
                 self.debug_datum._output_tensor_list.append(out_tensor)
 
-    def debug_get_output(self, node, out):
+    def debug_get_output(self, node, out=None):
         """Run graph up to node and get the output to out
 
         Parameters
@@ -199,12 +199,11 @@ def debug_get_output(self, node, out):
         out : NDArray
             The output array container
         """
-        ret = None
         if isinstance(node, str):
             output_tensors = self.debug_datum.get_output_tensors()
             try:
-                ret = output_tensors[node]
-            except:
+                out = output_tensors[node]
+            except KeyError:
                 node_list = output_tensors.keys()
                 raise RuntimeError(
                     "Node "
@@ -215,10 +214,10 @@ def debug_get_output(self, node, out):
                 )
         elif isinstance(node, int):
             output_tensors = self.debug_datum._output_tensor_list
-            ret = output_tensors[node]
+            out = output_tensors[node]
         else:
             raise RuntimeError("Require node index or name only.")
-        return ret
+        return out
 
     def run(self, **input_dict):
         """Run forward execution of the graph with debug
@@ -244,7 +243,6 @@ def run_individual(self, number, repeat=1, min_repeat_ms=0):
         ret = self._run_individual(number, repeat, min_repeat_ms)
         return ret.strip(",").split(",") if ret else []
 
-
     def exit(self):
         """Exits the dump folder and all its contents"""
         self._remove_dump_root()
diff --git a/python/tvm/contrib/graph_runtime.py b/python/tvm/contrib/graph_runtime.py
index 99e0bba7af83..2c945d2fca95 100644
--- a/python/tvm/contrib/graph_runtime.py
+++ b/python/tvm/contrib/graph_runtime.py
@@ -22,6 +22,7 @@
 from .._ffi.runtime_ctypes import TVMContext
 from ..rpc import base as rpc_base
 
+
 def create(graph_json_str, libmod, ctx):
     """Create a runtime executor module given a graph and module.
     Parameters
@@ -57,6 +58,7 @@ def create(graph_json_str, libmod, ctx):
 
     return GraphModule(fcreate(graph_json_str, libmod, *device_type_id))
 
+
 def get_device_ctx(libmod, ctx):
     """Parse and validate all the device context(s).
     Parameters
@@ -112,12 +114,12 @@ class GraphModule(object):
     Parameters
     ----------
     module : Module
-        The interal tvm module that holds the actual graph functions.
+        The internal tvm module that holds the actual graph functions.
 
     Attributes
     ----------
     module : Module
-        The interal tvm module that holds the actual graph functions.
+        The internal tvm module that holds the actual graph functions.
     """
 
     def __init__(self, module):
@@ -142,7 +144,7 @@ def set_input(self, key=None, value=None, **params):
            The input key
 
         params : dict of str to NDArray
-           Additonal arguments
+           Additional arguments
         """
         if key is not None:
             self._get_input(key).copyfrom(value)
@@ -211,7 +213,7 @@ def get_output(self, index, out=None):
         return self._get_output(index)
 
     def debug_get_output(self, node, out):
-        """Run graph upto node and get the output to out
+        """Run graph up to node and get the output to out
 
         Parameters
         ----------