[bug] Fix the broadcastable pattern of the output of AdvancedIncSubtensor1.

theano/sandbox/cuda/basic_ops.py

@@ -2516,10 +2516,7 @@ class GpuAdvancedIncSubtensor1(tensor.AdvancedIncSubtensor1, GpuOp):
         if x_.type.ndim == 0:
             raise TypeError('cannot index into a scalar')
 
-        bcast = (ilist_.broadcastable[0],) + x_.broadcastable[1:]
-        return Apply(self, [x_, y_, ilist_],
-                     [CudaNdarrayType(dtype=x_.dtype,
-                                      broadcastable=bcast)()])
+        return Apply(self, [x_, y_, ilist_], [x_.type()])
 
     # CudaNdarray_Subscript() doesn't support Advanced slicing.
     # But we can't use the parent version that loops on each index
@@ -2685,10 +2682,7 @@ class GpuAdvancedIncSubtensor1_dev20(GpuAdvancedIncSubtensor1):
         if x_.type.ndim == 0:
             raise TypeError('cannot index into a scalar')
 
-        bcast = (ilist_.broadcastable[0],) + x_.broadcastable[1:]
-        return Apply(self, [x_, y_, ilist_],
-                     [CudaNdarrayType(dtype=x_.dtype,
-                                      broadcastable=bcast)()])
+        return Apply(self, [x_, y_, ilist_], [x_.type()])
 
     def c_code_cache_version(self):
         return (2,)

theano/tensor/subtensor.py

@@ -1737,9 +1737,8 @@ class AdvancedIncSubtensor1(Op):
                 'cannot %s x subtensor with ndim=%s'
                 ' by y with ndim=%s to x subtensor with ndim=%s ' % (
                     opname, x_.type.ndim, y_.type.ndim))
-        bcast = (ilist_.broadcastable[0],) + x_.broadcastable[1:]
-        return Apply(self, [x_, y_, ilist_], [TensorType(dtype=x.dtype,
-                                                     broadcastable=bcast)()])
+
+        return Apply(self, [x_, y_, ilist_], [x_.type()])
 
     def perform(self, node, inp, out_):
         # TODO opt to make this inplace