removed the return type test for the feature extractor

tests/test_feature_extraction_maskformer.py

@@ -284,14 +284,6 @@ def test_with_size_divisibility(self):
                 self.assertTrue((pixel_values.shape[-1] % size_divisibility) == 0)
                 self.assertTrue((pixel_values.shape[-2] % size_divisibility) == 0)
 
-    def test_return_tensors(self):
-        faulty_tensor_types = ["tf", "jax", "np"]
-        for tensor_type in faulty_tensor_types:
-            feature_extractor = self.feature_extraction_class(**self.feat_extract_dict)
-            with pytest.raises(Exception):
-                # this should fail one way or another
-                feature_extractor([np.random.rand(3, 100, 100)], return_tensors=tensor_type)
-
     def test_call_with_numpy_annotations(self):
         num_classes = 8
         batch_size = self.feature_extract_tester.batch_size