Add Optional to remaining types (#37808)

More Optional typing

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

examples/legacy/seq2seq/run_distributed_eval.py

@@ -19,6 +19,7 @@ import time
 from json import JSONDecodeError
 from logging import getLogger
 from pathlib import Path
+from typing import Optional
 
 import torch
 from torch.utils.data import DataLoader
@@ -54,7 +55,7 @@ def eval_data_dir(
     task="summarization",
     local_rank=None,
     num_return_sequences=1,
-    dataset_kwargs: dict = None,
+    dataset_kwargs: Optional[dict] = None,
     prefix="",
     **generate_kwargs,
 ) -> dict:

examples/modular-transformers/image_processing_new_imgproc_model.py

@@ -74,7 +74,7 @@ class ImgprocModelImageProcessor(BaseImageProcessor):
     def __init__(
         self,
         do_resize: bool = True,
-        size: dict[str, int] = None,
+        size: Optional[dict[str, int]] = None,
         resample: PILImageResampling = PILImageResampling.BICUBIC,
         do_rescale: bool = True,
         rescale_factor: Union[int, float] = 1 / 255,
@@ -159,7 +159,7 @@ class ImgprocModelImageProcessor(BaseImageProcessor):
         image_mean: Optional[Union[float, list[float]]] = None,
         image_std: Optional[Union[float, list[float]]] = None,
         return_tensors: Optional[Union[str, TensorType]] = None,
-        do_convert_rgb: bool = None,
+        do_convert_rgb: Optional[bool] = None,
         data_format: ChannelDimension = ChannelDimension.FIRST,
         input_data_format: Optional[Union[str, ChannelDimension]] = None,
     ) -> PIL.Image.Image: