properly call super init

src/transformers/cache_utils.py

@@ -467,6 +467,7 @@ class QuantizedCache(DynamicCache):
     """
 
     def __init__(self, cache_config: QuantizedCacheConfig) -> None:
+        super().__init__()
         self._quantized_key_cache: List[torch.Tensor] = []
         self._quantized_value_cache: List[torch.Tensor] = []
 
@@ -478,8 +479,6 @@ def __init__(self, cache_config: QuantizedCacheConfig) -> None:
         self.compute_dtype = cache_config.compute_dtype
         self.device = cache_config.device
 
-        super().__init__()
-
     def update(
         self,
         key_states: torch.Tensor,
@@ -640,6 +639,7 @@ class SinkCache(Cache):
     """
 
     def __init__(self, window_length: int, num_sink_tokens: int) -> None:
+        super().__init__()
         self.key_cache: List[torch.Tensor] = []
         self.value_cache: List[torch.Tensor] = []
         self.window_length = window_length
@@ -993,6 +993,7 @@ class EncoderDecoderCache(Cache):
     """
 
     def __init__(self, self_attention_cache: Cache, cross_attention_cache: Cache):
+        super().__init__()
         self.self_attention_cache = self_attention_cache
         self.cross_attention_cache = cross_attention_cache