small fix following code review.

NEWS.txt

@@ -53,8 +53,8 @@ New Features
    (Frederic B., Simon McGregor)
  * MRG random now raises an error with a clear message when the passed shape
    contains dimensions with bad value like 0. (Frédéric B. reported by Ian G.)
- * "CudaNdarra[*] = ndarray" work in more case (Frederic B.)
- * "CudaNdarra[*] += ndarray" work in more case (Frederic B.)
+ * "CudaNdarray[*] = ndarray" work in more case (Frederic B.)
+ * "CudaNdarray[*] += ndarray" work in more case (Frederic B.)
  * We add dimensions to CudaNdarray to automatically broadcast more frequently.
    (Frederic B.)
 

theano/compile/debugmode.py

@@ -1028,7 +1028,7 @@ def _get_preallocated_maps(node, thunk, prealloc_modes, def_val,
                 # Build a C-contiguous buffer
                 new_buf = r.type.value_zeros(r_vals[r].shape)
                 # CudaNdarray don't have flags field
-#                assert new_buf.flags["C_CONTIGUOUS"]
+                # assert new_buf.flags["C_CONTIGUOUS"]
                 new_buf += numpy.asarray(def_val).astype(r.type.dtype)
 
                 c_cont_outputs[r] = new_buf

theano/sandbox/cuda/basic_ops.py

@@ -1937,9 +1937,10 @@ class GpuAdvancedIncSubtensor1(tensor.AdvancedIncSubtensor1, GpuOp):
 
         return Apply(self, [x_, y_, ilist_], [x_.type()])
 
-    #def perform(self, node, inp, out_):
     # CudaNdarray_Subscript() don't support Advanced slicing.
-        # so we use the parent version that loop on each indices.
+    # But we can't use the parent version that loop on each indices
+    # as we also need to loop when set_instead_of_inc is True and the
+    # parent don't look in that case.
     def perform(self, node, inp, out_):
         # TODO opt to make this inplace
         x, y, idx = inp

theano/sandbox/cuda/cuda_ndarray.cu

@@ -1065,7 +1065,9 @@ CudaNdarray_inplace_elemwise(PyObject* py_self, PyObject * py_other, operator_t
         {
             PyErr_SetString(
                 PyExc_ValueError,
-                "CudaNdarray_inplace_elemwise cannot work inplace on un-initialized array when the new value have more then 0 or 1 broadcastable dimensions");
+                "CudaNdarray_inplace_elemwise cannot work inplace on"
+                " un-initialized array when the new value have more then"
+                " 0 or 1 broadcastable dimensions");
             Py_XDECREF(new_other);
             return 0;
         }
@@ -2802,7 +2804,7 @@ int CudaNdarray_CopyFromCudaNdarray(CudaNdarray * self,
     }
     else if (self->nd != other->nd)
     {
-        CudaNdarray * new_other = (CudaNdarray *) CudaNdarray_View(other);
+        new_other = (CudaNdarray *) CudaNdarray_View(other);
         int added_dims = self->nd - other->nd;
         int pattern[self->nd];
         for(int i = 0; i < added_dims; i++)