added test for CudaNdarray_inplace_add with tensor of 3,4 and 5 dimensions.

theano/sandbox/cuda/tests/test_cuda_ndarray.py

@@ -16,7 +16,11 @@ def test_host_to_device():
         assert numpy.all(a == c)
 
 def test_add():
-    for shape in ((), (0,), (3,), (2,3), (1,10000000),(10,1000000), (100,100000),(1000,10000),(10000,1000)):
+    for shape in ((), (0,), (3,), (2,3), (1,10000000),(10,1000000), (100,100000),
+		  (1000,10000),(10000,1000),
+		  (4100,33,34),(33,4100,34),(33,34,4100),
+		  (4100,33,34,6),(33,4100,34,6),(33,34,4100,6),(33,34,6,4100),
+		  (33,34,35,36,37)):
         a0 = theano._asarray(numpy.random.rand(*shape), dtype='float32')
         a1 = a0.copy()
         b0 = cuda_ndarray.CudaNdarray(a0)