upgraded shape op's connection_pattern to the new type

theano/scalar/basic.py

@@ -26,6 +26,8 @@ from theano.gof import Op, utils, Variable, Constant, Type, Apply, FunctionGraph
 from theano.gof.python25 import partial, all, any
 from theano.configparser import config
 
+from theano.gradient import DisconnectedType
+
 builtin_complex = complex
 builtin_int = int
 builtin_float = float

theano/tensor/basic.py

@@ -2103,7 +2103,7 @@ class Shape(Op):
         # the elements of the tensor variable do not participate
         # in the computation of the shape, so they are not really
         # part of the graph
-        return [False]
+        return [[False]]
 
     def grad(self, inp, grads):
         # the grad returns the gradient with respect to the

theano/tensor/elemwise.py

@@ -14,6 +14,7 @@ from theano.scalar import Scalar
 from theano.printing import min_informative_str, pprint
 from theano.gof.python25 import all, any
 from theano.tensor.utils import hash_from_dict
+from theano.gradient import DisconnectedType
 
 config = theano.config
 
@@ -680,6 +681,8 @@ class Elemwise(Op):
 
         def transform(r):
             # From a graph of ScalarOps, make a graph of Broadcast ops.
+            if isinstance(r.type, DisconnectedType):
+                return r
             if r in scalar_inputs:
                 return inputs[scalar_inputs.index(r)]
             if r in scalar_ograds: