sparse - corrected broadcastable pattern of StructuredDot

theano/sparse/basic.py

@@ -741,7 +741,9 @@ class StructuredDot(gof.Op):
         if type(a) is not SparseVariable and type(a) is not SparseConstant:
             raise TypeError('First argument must be of type SparseVariable or SparseConstant');
         dtype_out = scalar.upcast(a.type.dtype, b.type.dtype)
-        return gof.Apply(self, [a,b], [tensor.tensor(dtype_out, (False, False))])
+        if b.type.ndim != 2:
+            raise NotImplementedError('non-matrix b')
+        return gof.Apply(self, [a,b], [tensor.tensor(dtype_out, (False, b.type.broadcastable[1]))])
 
     def perform(self, node, (a,b), (out,)):
         if a.shape[1] != b.shape[0]: