Minor modifications

theano/tensor/nnet/tests/test_abstract_conv.py

@@ -688,18 +688,17 @@ class TestBilinearUpsampling(unittest.TestCase):
             utt.assert_allclose(f(), up_mat_2d, rtol=1e-06)
 
     def test_bilinear_upsampling_reshaping(self):
-        """Test bilinear upsampling without giving shape information
-
-        This method tests the bilinear_upsampling method
-        without giving batch_size and num_input_channels
-
-        """
+        # Test bilinear upsampling without giving shape information
+        # This method tests the bilinear_upsampling method
+        # without giving batch_size and num_input_channels
         # upsampling for a ratio of two
         input_x = np.array([[[[1, 2], [3, 4]]]], dtype=theano.config.floatX)
 
         for ratio in [2, 3]:
             for use_1D_kernel in [True, False]:
                 bilin_mat = bilinear_upsampling(input=input_x, ratio=ratio,
+                                                batch_size=None,
+                                                num_input_channels=None,
                                                 use_1D_kernel=use_1D_kernel)
                 f = theano.function([], bilin_mat, mode=self.compile_mode)
                 up_mat_2d = self.get_upsampled_twobytwo_mat(input_x, ratio)