[pytes collection] Fix flax test collection (huggingface#34004)

bit weird but to filter I had to use this

tests/models/albert/test_modeling_flax_albert.py

@@ -80,6 +80,7 @@ def __init__(
         self.type_sequence_label_size = type_sequence_label_size
         self.initializer_range = initializer_range
         self.num_choices = num_choices
+        super().__init__()
 
     def prepare_config_and_inputs(self):
         input_ids = ids_tensor([self.batch_size, self.seq_length], self.vocab_size)

tests/models/beit/test_modeling_flax_beit.py

@@ -79,6 +79,7 @@ def __init__(
         # in BeiT, 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])

tests/models/bert/test_modeling_flax_bert.py

@@ -79,6 +79,7 @@ def __init__(
         self.type_sequence_label_size = type_sequence_label_size
         self.initializer_range = initializer_range
         self.num_choices = num_choices
+        super().__init__()
 
     def prepare_config_and_inputs(self):
         input_ids = ids_tensor([self.batch_size, self.seq_length], self.vocab_size)

tests/models/big_bird/test_modeling_flax_big_bird.py

@@ -90,6 +90,7 @@ def __init__(
         self.use_bias = use_bias
         self.block_size = block_size
         self.num_random_blocks = num_random_blocks
+        super().__init__()
 
     def prepare_config_and_inputs(self):
         input_ids = ids_tensor([self.batch_size, self.seq_length], self.vocab_size)

tests/models/distilbert/test_modeling_flax_distilbert.py

@@ -79,6 +79,7 @@ def __init__(
         self.type_sequence_label_size = type_sequence_label_size
         self.initializer_range = initializer_range
         self.num_choices = num_choices
+        super().__init__()
 
     def prepare_config_and_inputs(self):
         input_ids = ids_tensor([self.batch_size, self.seq_length], self.vocab_size)

tests/models/electra/test_modeling_flax_electra.py

@@ -67,6 +67,7 @@ def __init__(
         self.type_sequence_label_size = type_sequence_label_size
         self.initializer_range = initializer_range
         self.num_choices = num_choices
+        super().__init__()
 
     def prepare_config_and_inputs(self):
         input_ids = ids_tensor([self.batch_size, self.seq_length], self.vocab_size)

tests/models/mbart/test_modeling_flax_mbart.py

@@ -116,6 +116,7 @@ def __init__(
         self.bos_token_id = bos_token_id
         self.decoder_start_token_id = decoder_start_token_id
         self.initializer_range = initializer_range
+        super().__init__()
 
     def prepare_config_and_inputs(self):
         input_ids = np.clip(ids_tensor([self.batch_size, self.seq_length - 1], self.vocab_size), 3, self.vocab_size)

tests/models/regnet/test_modeling_flax_regnet.py

@@ -65,6 +65,7 @@ def __init__(
         self.num_labels = num_labels
         self.scope = scope
         self.num_stages = len(hidden_sizes)
+        super().__init__()
 
     def prepare_config_and_inputs(self):
         pixel_values = floats_tensor([self.batch_size, self.num_channels, self.image_size, self.image_size])

tests/models/resnet/test_modeling_flax_resnet.py

@@ -64,6 +64,7 @@ def __init__(
         self.num_labels = num_labels
         self.scope = scope
         self.num_stages = len(hidden_sizes)
+        super().__init__()
 
     def prepare_config_and_inputs(self):
         pixel_values = floats_tensor([self.batch_size, self.num_channels, self.image_size, self.image_size])

tests/models/roberta/test_modeling_flax_roberta.py

@@ -78,6 +78,7 @@ def __init__(
         self.type_sequence_label_size = type_sequence_label_size
         self.initializer_range = initializer_range
         self.num_choices = num_choices
+        super().__init__()
 
     def prepare_config_and_inputs(self):
         input_ids = ids_tensor([self.batch_size, self.seq_length], self.vocab_size)

tests/models/roberta_prelayernorm/test_modeling_flax_roberta_prelayernorm.py

@@ -81,6 +81,7 @@ def __init__(
         self.type_sequence_label_size = type_sequence_label_size
         self.initializer_range = initializer_range
         self.num_choices = num_choices
+        super().__init__()
 
     def prepare_config_and_inputs(self):
         input_ids = ids_tensor([self.batch_size, self.seq_length], self.vocab_size)

tests/models/roformer/test_modeling_flax_roformer.py

@@ -79,6 +79,7 @@ def __init__(
         self.type_sequence_label_size = type_sequence_label_size
         self.initializer_range = initializer_range
         self.num_choices = num_choices
+        super().__init__()
 
     def prepare_config_and_inputs(self):
         input_ids = ids_tensor([self.batch_size, self.seq_length], self.vocab_size)

tests/models/vit/test_modeling_flax_vit.py

@@ -72,6 +72,7 @@ def __init__(
         # 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])