Fix incomplete tests in batch and transforms (#506)

* Fix test_compute_deltas_twochannels

* Fix 3batch test helper

test/test_batch_consistency.py

@@ -64,7 +64,10 @@ def _test_batch(functional, tensor, *args, **kwargs):
     expected = expected.repeat(*ind)
 
     torch.random.manual_seed(42)
-    _ = functional(tensors.clone(), *args, **kwargs)
+    computed = functional(tensors.clone(), *args, **kwargs)
+
+    assert expected.shape == computed.shape, (expected.shape, computed.shape)
+    assert torch.allclose(expected, computed, **kwargs_compare)
 
 
 class TestFunctional(unittest.TestCase):

test/test_transforms.py

@@ -212,11 +212,12 @@ class Tester(unittest.TestCase):
 
     def test_compute_deltas_twochannel(self):
         specgram = torch.tensor([1., 2., 3., 4.]).repeat(1, 2, 1)
-        _ = torch.tensor([[[0.5, 1.0, 1.0, 0.5],
-                           [0.5, 1.0, 1.0, 0.5]]])
-        transform = transforms.ComputeDeltas()
+        expected = torch.tensor([[[0.5, 1.0, 1.0, 0.5],
+                                  [0.5, 1.0, 1.0, 0.5]]])
+        transform = transforms.ComputeDeltas(win_length=3)
         computed = transform(specgram)
-        self.assertTrue(computed.shape == specgram.shape, (computed.shape, specgram.shape))
+        assert computed.shape == expected.shape, (computed.shape, expected.shape)
+        assert torch.allclose(computed, expected, atol=1e-6, rtol=1e-8)
 
 
 if __name__ == '__main__':