Switches to OrderedDict to make the dictionary order deterministic so we have less randomness from graph building.

PiperOrigin-RevId: 167755072

tensorflow/python/ops/parsing_ops.py

@@ -198,7 +198,11 @@ def _features_to_raw_params(features, types):
   sparse_types = []
   dense_keys = []
   dense_types = []
-  dense_defaults = {}
+  # When the graph is built twice, multiple dense_defaults in a normal dict
+  # could come out in different orders. This will fail the _e2e_test which
+  # expects exactly the same graph.
+  # OrderedDict which preserves the order can solve the problem.
+  dense_defaults = collections.OrderedDict()
   dense_shapes = []
   if features:
     # NOTE: We iterate over sorted keys to keep things deterministic.
@@ -624,7 +628,8 @@ def _parse_example_raw(serialized,
   """
   with ops.name_scope(name, "ParseExample", [serialized, names]):
     names = [] if names is None else names
-    dense_defaults = {} if dense_defaults is None else dense_defaults
+    dense_defaults = collections.OrderedDict(
+    ) if dense_defaults is None else dense_defaults
     sparse_keys = [] if sparse_keys is None else sparse_keys
     sparse_types = [] if sparse_types is None else sparse_types
     dense_keys = [] if dense_keys is None else dense_keys