Remove tf.RegisterShape from public API. No longer needed since

Vijay Vasudevan · tensorflower-gardener · commit f56237c44067 · 2016-11-21T11:01:44.000-08:00
all real shape functions are now registered via the C++ API.
Change: 139803467
diff --git a/RELEASE.md b/RELEASE.md
@@ -12,6 +12,7 @@ BUS_ANY was used.
   indicating its preferred use in language bindings for TensorFlow.
   What was previously `TF_Session` has been renamed to `TF_DeprecatedSession`.
 * Renamed TF_Port to TF_Output in the C API.
+* Removes RegisterShape from public API. Use C++ shape function registration instead.
 
 # Release 0.11.0
 
diff --git a/tensorflow/python/framework/framework_lib.py b/tensorflow/python/framework/framework_lib.py
@@ -53,7 +53,6 @@
 @@RegisterGradient
 @@NotDifferentiable
 @@NoGradient
-@@RegisterShape
 @@TensorShape
 @@Dimension
 @@op_scope
diff --git a/tensorflow/python/framework/importer_test.py b/tensorflow/python/framework/importer_test.py
@@ -141,7 +141,7 @@ def _unknown_shape(op):
 op_def_registry.register_op_list(_op_list)
 # NOTE(mrry): Dummy shape registrations for ops used in the tests.
 for op_def in _op_list.op:
-  tf.RegisterShape(op_def.name)(None)
+  ops.RegisterShape(op_def.name)(None)
 
 
 class ImportGraphDefTest(tf.test.TestCase):
diff --git a/tensorflow/python/framework/ops.py b/tensorflow/python/framework/ops.py
@@ -1571,10 +1571,11 @@ def call_with_requiring(op):
 
 
 class RegisterShape(object):
-  """A decorator for registering the shape function for an op type.
+  """No longer used.  Was: A decorator for registering a shape function.
+
+  Shape functions must now be registered via the SetShapeFn on the
+  original Op specification in C++.
 
-  Soon to be removed.  Shape functions should be registered via
-  the SetShapeFn on the original Op specification in C++.
   """
 
   def __init__(self, op_type):
