fixed the problem related to the cudandarray and inplace assignment

theano/sandbox/cuda/cula.py

@@ -91,7 +91,7 @@ class GpuSolve(GpuOp):
                 cula.culaDeviceSgesv(n, nrhs, A_ptr, lda, ipiv_ptr, b_ptr, ldb)
                 return A, b
 
-            A, b = cula_gpu_solve(A_pycuda, b_pycuda)
+            A_pycuda, b_pycuda = cula_gpu_solve(A_pycuda, b_pycuda)
             z[0] = b
 
         thunk.inputs = inputs

theano/sandbox/cuda/tests/test_cula.py

@@ -35,7 +35,7 @@ class TestCula(unittest.TestCase):
         solver = cula.gpu_solve(A, b)
         fn = theano.function([A, b], [solver])
         res = fn(A_val, b_val)
-        res[0].get(x_res)
+        x_res = numpy.array(res[0])
         utt.assert_allclose(x_res, x_val)
 
     def test_diag_solve(self):