Make tensor device correct when ACCELERATE_TORCH_DEVICE is defined (#31751)

return correct device when ACCELERATE_TORCH_DEVICE is defined

src/transformers/training_args.py

@@ -2194,7 +2194,9 @@ class TrainingArguments:
                 # trigger an error that a device index is missing. Index 0 takes into account the
                 # GPUs available in the environment, so `CUDA_VISIBLE_DEVICES=1,2` with `cuda:0`
                 # will use the first GPU in that env, i.e. GPU#1
-                device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
+                device = torch.device(
+                    "cuda:0" if torch.cuda.is_available() else os.environ.get("ACCELERATE_TORCH_DEVICE", "cpu")
+                )
                 # Sometimes the line in the postinit has not been run before we end up here, so just checking we're not at
                 # the default value.
                 self._n_gpu = torch.cuda.device_count()