Add new test lines

theano/tensor/nnet/tests/test_abstract_conv.py

@@ -687,6 +687,24 @@ class TestBilinearUpsampling(unittest.TestCase):
             up_mat_2d = self.get_upsampled_twobytwo_mat(input_x, ratio)
             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
+
+        """
+        # 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,
+                                                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)
+                utt.assert_allclose(f(), up_mat_2d, rtol=1e-06)
+
     def test_compare_1D_and_2D_upsampling_values(self):
         """Compare 1D and 2D upsampling