s/AutographParseError/AutoGraphParseError/ (properly camel-casing AutoGraph.)

PiperOrigin-RevId: 229754536

tensorflow/python/autograph/__init__.py

@@ -50,7 +50,7 @@ from tensorflow.python.autograph.lang.directives import set_element_type
 from tensorflow.python.autograph.lang.directives import set_loop_options
 from tensorflow.python.autograph.lang.special_functions import stack
 from tensorflow.python.autograph.lang.special_functions import tensor_list
-from tensorflow.python.autograph.pyct.transformer import AutographParseError
+from tensorflow.python.autograph.pyct.transformer import AutoGraphParseError
 from tensorflow.python.util.all_util import remove_undocumented
 
 # TODO(mdan): Revisit this list once we finalize the generated code mechanism.
@@ -77,7 +77,7 @@ _allowed_symbols = [
     'stack',
     'tensor_list',
     # Exceptions
-    'AutographParseError',
+    'AutoGraphParseError',
     # Utilities: to be removed
     'utils',
 ]

tensorflow/python/autograph/converters/control_flow_test.py

@@ -184,7 +184,7 @@ class ControlFlowTest(converter_testing.TestCase):
       return b
 
     node, ctx = self.prepare(test_fn, {})
-    with self.assertRaises(transformer.AutographParseError):
+    with self.assertRaises(transformer.AutoGraphParseError):
       control_flow.transform(node, ctx)
 
   @test_util.run_deprecated_v1

tensorflow/python/autograph/converters/decorators_test.py

@@ -121,7 +121,7 @@ class DecoratorsTest(converter_testing.TestCase):
       return inner_fn(a)
 
     # Expected to fail because simple_decorator could not be imported.
-    with self.assertRaises(transformer.AutographParseError):
+    with self.assertRaises(transformer.AutoGraphParseError):
       test_fn(1)
 
   def test_nested_decorators_imported(self):

tensorflow/python/autograph/converters/slices_test.py

@@ -68,7 +68,7 @@ class SliceTest(converter_testing.TestCase):
     def_.directives[directives.set_element_type] = {
         'dtype': parser.parse_expression('tf.float32')
     }
-    with self.assertRaises(transformer.AutographParseError):
+    with self.assertRaises(transformer.AutoGraphParseError):
       slices.transform(node, ctx)
 
 

tensorflow/python/autograph/pyct/transformer.py

@@ -29,7 +29,7 @@ from tensorflow.python.autograph.pyct import pretty_printer
 from tensorflow.python.autograph.pyct import templates
 
 
-class AutographParseError(SyntaxError):
+class AutoGraphParseError(SyntaxError):
   pass
 
 
@@ -495,8 +495,8 @@ class Base(gast.NodeTransformer):
       # In other words, we need to find how to suppress the "During handling
       # of the above exception, another exception occurred" message.
       six.reraise(
-          AutographParseError,
-          AutographParseError(msg, (original_file_path, original_line_number,
+          AutoGraphParseError,
+          AutoGraphParseError(msg, (original_file_path, original_line_number,
                                     original_col_offset, original_source_line)),
           sys.exc_info()[2])
     finally: