[tests] further fix Tester object has no attribute '_testMethodName' (#35781)

* bug fix

* update with more cases

* more entries

* Fix

---------

Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

tests/models/vit/test_image_processing_vit.py

@@ -29,7 +29,7 @@ if is_torchvision_available():
     from transformers import ViTImageProcessorFast
 
 
-class ViTImageProcessingTester(unittest.TestCase):
+class ViTImageProcessingTester:
     def __init__(
         self,
         parent,
@@ -44,7 +44,6 @@ class ViTImageProcessingTester(unittest.TestCase):
         image_mean=[0.5, 0.5, 0.5],
         image_std=[0.5, 0.5, 0.5],
     ):
-        super().__init__()
         size = size if size is not None else {"height": 18, "width": 18}
         self.parent = parent
         self.batch_size = batch_size

tests/models/vit/test_modeling_flax_vit.py

@@ -30,7 +30,7 @@ if is_flax_available():
     from transformers.models.vit.modeling_flax_vit import FlaxViTForImageClassification, FlaxViTModel
 
 
-class FlaxViTModelTester(unittest.TestCase):
+class FlaxViTModelTester:
     def __init__(
         self,
         parent,
@@ -72,7 +72,6 @@ class FlaxViTModelTester(unittest.TestCase):
         # in ViT, the seq length equals the number of patches + 1 (we add 1 for the [CLS] token)
         num_patches = (image_size // patch_size) ** 2
         self.seq_length = num_patches + 1
-        super().__init__()
 
     def prepare_config_and_inputs(self):
         pixel_values = floats_tensor([self.batch_size, self.num_channels, self.image_size, self.image_size])