deprecate `use_mps_device` (#24239)

docs/source/en/main_classes/trainer.mdx

@@ -656,7 +656,8 @@ Therefore, improving end-to-end performance.
 please follow this nice medium article [GPU-Acceleration Comes to PyTorch on M1 Macs](https://medium.com/towards-data-science/gpu-acceleration-comes-to-pytorch-on-m1-macs-195c399efcc1).
 
 **Usage**:
-User has to just pass `--use_mps_device` argument. 
+`mps` device will be used by default if available similar to the way `cuda` device is used.
+Therefore, no action from user is required. 
 For example, you can run the official Glue text classififcation task (from the root folder) using Apple Silicon GPU with below command:
 
 ```bash
@@ -672,7 +673,6 @@ python examples/pytorch/text-classification/run_glue.py \
   --learning_rate 2e-5 \
   --num_train_epochs 3 \
   --output_dir /tmp/$TASK_NAME/ \
-  --use_mps_device \
   --overwrite_output_dir
 ```
 

src/transformers/training_args.py

@@ -581,7 +581,7 @@ class TrainingArguments:
             (https://pytorch.org/docs/stable/distributed.html#torch.distributed.init_process_group) for more
             information.
         use_mps_device (`bool`, *optional*, defaults to `False`):
-            Whether to use Apple Silicon chip based `mps` device.
+            This argument is deprecated.`mps` device will be used if it is available similar to `cuda` device.
         torch_compile (`bool`, *optional*, defaults to `False`):
             Whether or not to compile the model using PyTorch 2.0
             [`torch.compile`](https://pytorch.org/get-started/pytorch-2.0/).
@@ -780,7 +780,11 @@ class TrainingArguments:
     )
     no_cuda: bool = field(default=False, metadata={"help": "Do not use CUDA even when it is available"})
     use_mps_device: bool = field(
-        default=False, metadata={"help": "Whether to use Apple Silicon chip based `mps` device."}
+        default=False,
+        metadata={
+            "help": "This argument is deprecated. `mps` device will be used if available similar to `cuda` device."
+            " It will be removed in version 5.0 of 🤗 Transformers"
+        },
     )
     seed: int = field(default=42, metadata={"help": "Random seed that will be set at the beginning of training."})
     data_seed: Optional[int] = field(default=None, metadata={"help": "Random seed to be used with data samplers."})
@@ -1714,28 +1718,17 @@ class TrainingArguments:
             pass
         elif self.distributed_state.distributed_type == DistributedType.NO:
             if self.use_mps_device:
-                if not torch.backends.mps.is_available():
-                    if not torch.backends.mps.is_built():
-                        raise AssertionError(
-                            "MPS not available because the current PyTorch install was not "
-                            "built with MPS enabled. Please install torch version >=1.12.0 on "
-                            "your Apple silicon Mac running macOS 12.3 or later with a native "
-                            "version (arm64) of Python"
-                        )
-                    else:
-                        raise AssertionError(
-                            "MPS not available because the current MacOS version is not 12.3+ "
-                            "and/or you do not have an MPS-enabled device on this machine."
-                        )
-                else:
-                    if not version.parse(version.parse(torch.__version__).base_version) > version.parse("1.12.0"):
                 warnings.warn(
-                            "We strongly recommend to install PyTorch >= 1.13 (nightly version at the time of writing)"
-                            " on your MacOS machine. It has major fixes related to model correctness and performance"
-                            " improvements for transformer based models. Please refer to"
-                            " https://github.com/pytorch/pytorch/issues/82707 for more details."
+                    "`use_mps_device` is deprecated and will be removed in version 5.0 of 🤗 Transformers."
+                    "`mps` device will be used by default if available similar to the way `cuda` device is used."
+                    "Therefore, no action from user is required. "
+                )
+                if device.type != "mps":
+                    raise ValueError(
+                        "Either you do not have an MPS-enabled device on this machine or MacOS version is not 12.3+ "
+                        "or current PyTorch install was not built with MPS enabled."
                     )
-                    device = torch.device("mps")
+            if device.type == "mps":
                 self._n_gpu = 1
             elif self.no_cuda:
                 device = torch.device("cpu")