Fix a couple more format calls

docs/source/usage_guides/deepspeed.md

@@ -656,7 +656,7 @@ ZeRO Stage-3 has 2 options:
    Below is the snippet from `examples/by_feature/deepspeed_with_config_support.py` showing this:
    ```python
    success = model.save_checkpoint(PATH, ckpt_id, checkpoint_state_dict)
-   status_msg = "checkpointing: PATH={}, ckpt_id={}".format(PATH, ckpt_id)
+   status_msg = f"checkpointing: PATH={PATH}, ckpt_id={ckpt_id}"
    if success:
        logging.info(f"Success {status_msg}")
    else:

src/accelerate/accelerator.py

@@ -429,15 +429,14 @@ def __init__(
         # Mixed precision attributes
         self.scaler = None
         self.native_amp = False
-        err = "{mode} mixed precision requires {requirement}"
         if (
             self.state.mixed_precision == "fp16"
             and self.device.type != "cpu"
             and self.distributed_type not in (DistributedType.DEEPSPEED, DistributedType.MEGATRON_LM)
         ):
             self.native_amp = True
             if self.device.type not in ("xpu", "cuda", "mps", "npu"):
-                raise ValueError(err.format(mode="fp16", requirement="a GPU"))
+                raise ValueError(f"fp16 mixed precision requires a GPU (not {self.device.type!r}).")
             kwargs = self.scaler_handler.to_kwargs() if self.scaler_handler is not None else {}
             if self.distributed_type == DistributedType.FSDP:
                 from torch.distributed.fsdp.sharded_grad_scaler import ShardedGradScaler
@@ -457,7 +456,7 @@ def __init__(
             else:
                 self.native_amp = is_bf16_available(True)
             if mixed_precision == "bf16" and not self.native_amp and not is_tpu_available():
-                raise ValueError(err.format(mode="bf16", requirement="PyTorch >= 1.10 and a supported device."))
+                raise ValueError("bf16 mixed precision requires PyTorch >= 1.10 and a supported device.")
 
         # Start of internal step tracking
         self.step = 0

src/accelerate/commands/launch.py

@@ -924,14 +924,12 @@ def _validate_launch_command(args):
                 args.mixed_precision = defaults.mixed_precision
                 mp_from_config_flag = True
         else:
-            native_amp = False
-            err = "{mode} mixed precision requires {requirement}"
             if args.use_cpu or (args.use_xpu and torch.xpu.is_available()):
                 native_amp = is_torch_version(">=", "1.10")
             else:
                 native_amp = is_bf16_available(True)
             if args.mixed_precision == "bf16" and not native_amp and not (args.tpu and is_tpu_available()):
-                raise ValueError(err.format(mode="bf16", requirement="PyTorch >= 1.10 and a supported device."))
+                raise ValueError("bf16 mixed precision requires PyTorch >= 1.10 and a supported device.")
 
         # Silently set the default here
         if args.dynamo_backend is None:

src/accelerate/utils/megatron_lm.py

@@ -844,8 +844,8 @@ def initialize(accelerator, extra_args_provider=None, args_defaults={}):
         if getattr(args, key, None) is not None:
             if args.rank == 0:
                 print(
-                    f"WARNING: overriding default arguments for {key}:{getattr(args, key)} \
-                        with {key}:{value}",
+                    f"WARNING: overriding default arguments for "
+                    f"{key}:{getattr(args, key)} with {key}:{value}",
                     flush=True,
                 )
         setattr(args, key, value)