diff --git a/tensorflow/lite/python/lite.py b/tensorflow/lite/python/lite.py
index 99be58f4376..ce59c56a1d0 100644
--- a/tensorflow/lite/python/lite.py
+++ b/tensorflow/lite/python/lite.py
@@ -386,13 +386,8 @@ class TFLiteConverterBase(object):
         return True
     return False
 
-  def _parse_saved_model_args(self, always_enable_saved_model_import=False):
-    """Parses SavedModel arguments from the given Keras/RNN SavedModel.
-
-    Args:
-      always_enable_saved_model_import: Bool. When the value is true, it enables
-        MLIR saved model import path regardless of checking the conditions.
-    """
+  def _parse_saved_model_args(self):
+    """Parses SavedModel arguments from the given Keras/RNN SavedModel."""
     if not self.experimental_new_converter:
       self.saved_model_dir = None
       return
@@ -405,17 +400,16 @@ class TFLiteConverterBase(object):
         # frozen graph def path.
         self.saved_model_dir = None
         return
-      if (not always_enable_saved_model_import and
-          not self._contains_function_with_implements_attr(saved_model_proto)):
+      if not self._contains_function_with_implements_attr(saved_model_proto):
         self.saved_model_dir = None
-        return
-
-      if not self._saved_model_exported_names:
-        self._saved_model_exported_names = []
-      self._saved_model_version = saved_model_proto.saved_model_schema_version
-      if self._saved_model_version not in [1, 2]:
-        raise ValueError("SavedModel file format({0}) is not supported".format(
-            self._saved_model_version))
+      else:
+        if not self._saved_model_exported_names:
+          self._saved_model_exported_names = []
+        self._saved_model_version = saved_model_proto.saved_model_schema_version
+        if self._saved_model_version not in [1, 2]:
+          raise ValueError(
+              "SavedModel file format({0}) is not supported".format(
+                  self._saved_model_version))
 
 
 class TFLiteConverterBaseV2(TFLiteConverterBase):
@@ -548,7 +542,7 @@ class TFLiteSavedModelConverterV2(TFLiteConverterBaseV2):
     self._saved_model_tags = saved_model_tags
     self._saved_model_exported_names = saved_model_exported_names
     self._trackable_obj = trackable_obj
-    self._parse_saved_model_args(always_enable_saved_model_import=True)
+    self._parse_saved_model_args()
 
   def convert(self):
     """Converts a TensorFlow GraphDef based on instance variables.