Use Python 3.9 syntax in examples (#37279)

Signed-off-by: cyy <cyyever@outlook.com>

examples/quantization/custom_quantization_int8_example.py

@@ -1,5 +1,5 @@
 import json
-from typing import Any, Dict, List, Optional
+from typing import Any, Optional
 
 import torch
 import torch.nn as nn
@@ -112,7 +112,7 @@ class Int8SymmetricConfig(QuantizationConfigMixin):
     Configuration for INT8 symmetric quantization.
     """
 
-    def __init__(self, modules_to_not_convert: Optional[List[str]] = None, **kwargs):
+    def __init__(self, modules_to_not_convert: Optional[list[str]] = None, **kwargs):
         self.quant_method = "int8_symmetric"
         self.modules_to_not_convert = modules_to_not_convert
 
@@ -120,7 +120,7 @@ class Int8SymmetricConfig(QuantizationConfigMixin):
         config_dict = self.to_dict()
         return f"{self.__class__.__name__} {json.dumps(config_dict, indent=2, sort_keys=True)}\n"
 
-    def to_diff_dict(self) -> Dict[str, Any]:
+    def to_diff_dict(self) -> dict[str, Any]:
         config_dict = self.to_dict()
         default_config_dict = Int8SymmetricConfig().to_dict()
 
@@ -164,7 +164,7 @@ class Int8SymmetricQuantizer(HfQuantizer):
         model,
         param_value: "torch.Tensor",
         param_name: str,
-        state_dict: Dict[str, Any],
+        state_dict: dict[str, Any],
         **kwargs,
     ):
         module, tensor_name = get_module_from_name(model, param_name)
@@ -186,8 +186,8 @@ class Int8SymmetricQuantizer(HfQuantizer):
         param_value: "torch.Tensor",
         param_name: str,
         target_device: "torch.device",
-        state_dict: Dict[str, Any],
-        unexpected_keys: Optional[List[str]] = None,
+        state_dict: dict[str, Any],
+        unexpected_keys: Optional[list[str]] = None,
     ):
         """
         Quantizes weights to INT8 symmetric format.
@@ -202,7 +202,7 @@ class Int8SymmetricQuantizer(HfQuantizer):
         module._buffers[tensor_name] = weight_quantized.to(target_device)
         module._buffers["weight_scale"] = weight_scale.to(target_device)
 
-    def update_missing_keys(self, model, missing_keys: List[str], prefix: str) -> List[str]:
+    def update_missing_keys(self, model, missing_keys: list[str], prefix: str) -> list[str]:
         not_missing_keys = []
         for name, module in model.named_modules():
             if isinstance(module, Int8SymmetricLinear):