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diff --git a/tensorflow/python/autograph/converters/builtin_functions.py b/tensorflow/python/autograph/converters/builtin_functions.py
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+++ b/tensorflow/python/autograph/converters/builtin_functions.py
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+# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================
+"""Handles builtins and other special functions."""
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+import gast
+
+from tensorflow.python.autograph.core import converter
+from tensorflow.python.autograph.operators import py_builtins
+from tensorflow.python.autograph.pyct import anno
+from tensorflow.python.autograph.pyct import templates
+
+
+class BuiltinFunctionTransformer(converter.Base):
+  """Handles builtin functions.
+
+  This transformer only covers functions that are translated into a
+  TF equivalent, like `len`.
+  """
+
+  def _convert_builtin(self, f, args, as_expression):
+    template = """
+      ag__.func(args)
+    """
+    if as_expression:
+      return templates.replace_as_expression(
+          template, func=py_builtins.overload_of(f).__name__, args=args)
+    else:
+      return templates.replace(
+          template, func=py_builtins.overload_of(f).__name__, args=args)
+
+  def visit_Call(self, node):
+    node = self.generic_visit(node)
+    if anno.hasanno(node.func, 'live_val'):
+      live_val = anno.getanno(node.func, 'live_val')
+      if live_val in py_builtins.SUPPORTED_BUILTINS:
+        node = self._convert_builtin(live_val, node.args, as_expression=True)
+    return node
+
+  def visit_Print(self, node):
+    node = self.generic_visit(node)
+    args = node.values
+    # Following is the case when calling print(a, b)
+    if len(args) == 1 and isinstance(args[0], gast.Tuple):
+      args = args[0].elts
+    return self._convert_builtin(print, args, as_expression=False)
+
+
+def transform(node, ctx):
+  return BuiltinFunctionTransformer(ctx).visit(node)