Fix toarray() call to be optional.

theano/sparse/tests/test_basic.py

@@ -67,6 +67,12 @@ def eval_outputs(outputs):
     return compile.function([], outputs)()[0]
 
 
+def as_ndarray(val):
+    if hasattr(val, 'toarray'):
+        return val.toarray()
+    return val
+
+
 def random_lil(shape, dtype, nnz):
     rval = sp.lil_matrix(shape, dtype=dtype)
     huge = 2 ** 30
@@ -2956,7 +2962,7 @@ class StructuredAddSVTester(unittest.TestCase):
 
                 out = f(spmat, mat)
 
-                utt.assert_allclose(spones.multiply(spmat + mat).toarray(),
+                utt.assert_allclose(as_ndarray(spones.multiply(spmat + mat)),
                                     out.toarray())
 
 
@@ -3072,7 +3078,7 @@ class SamplingDotTester(utt.InferShapeTester):
         x, y, p = self.a
         expected = p.multiply(numpy.dot(x, y.T))
 
-        utt.assert_allclose(expected.toarray(), tested.toarray())
+        utt.assert_allclose(as_ndarray(expected), tested.toarray())
         assert tested.format == 'csr'
         assert tested.dtype == expected.dtype