Remove the restriction on indexing a broadcastable dimension for…

theano/sandbox/cuda/basic_ops.py

@@ -2513,9 +2513,6 @@ class GpuAdvancedIncSubtensor1(tensor.AdvancedIncSubtensor1, GpuOp):
             raise TypeError('index must be vector')
         if x_.type.ndim == 0:
             raise TypeError('cannot index into a scalar')
-        if x_.type.broadcastable[0]:
-            # the caller should have made a copy of x len(ilist) times
-            raise TypeError('cannot index into a broadcastable dimension')
 
         return Apply(self, [x_, y_, ilist_], [x_.type()])
 

theano/sandbox/cuda/tests/test_basic_ops.py

@@ -986,6 +986,7 @@ class T_subtensor(theano.tensor.tests.test_subtensor.T_subtensor):
                                  # optimized for that case.
                                  ((4, 4, 2, 3), [3, 3, 1, 1, 2, 2, 0, 0,
                                                  -1, -2, -3, -4], False),
+                                 ((1, 10), [0, 0], True),
                              ]:
             # If there is not enough memory on the GPU, skip the test
             size_needed = numpy.prod(shape) * (4 + 1)