get default device through `PartialState().default_device` as it has been...

get default device through `PartialState().default_device` as it has been officially released (#27256)

get default device through `PartialState().default_device` as it has
been officially released

src/transformers/tools/base.py

@@ -46,6 +46,7 @@ if is_torch_available():
     import torch
 
 if is_accelerate_available():
+    from accelerate import PartialState
     from accelerate.utils import send_to_device
 
 
@@ -529,7 +530,7 @@ class PipelineTool(Tool):
             if self.device_map is not None:
                 self.device = list(self.model.hf_device_map.values())[0]
             else:
-                self.device = get_default_device()
+                self.device = PartialState().default_device
 
         if self.device_map is None:
             self.model.to(self.device)
@@ -597,23 +598,6 @@ def launch_gradio_demo(tool_class: Tool):
     ).launch()
 
 
-# TODO: Migrate to Accelerate for this once `PartialState.default_device` makes its way into a release.
-def get_default_device():
-    logger.warning(
-        "`get_default_device` is deprecated and will be replaced with `accelerate`'s `PartialState().default_device` "
-        "in version 4.38 of 🤗 Transformers. "
-    )
-    if not is_torch_available():
-        raise ImportError("Please install torch in order to use this tool.")
-
-    if torch.backends.mps.is_available() and torch.backends.mps.is_built():
-        return torch.device("mps")
-    elif torch.cuda.is_available():
-        return torch.device("cuda")
-    else:
-        return torch.device("cpu")
-
-
 TASK_MAPPING = {
     "document-question-answering": "DocumentQuestionAnsweringTool",
     "image-captioning": "ImageCaptioningTool",