Ran ruff to format the files

Author: quic-meetkuma

QEfficient/cloud/finetune.py

@@ -63,9 +63,9 @@ def main(**kwargs):
         # TODO: may have to init qccl backend, next try run with torchrun command
         torch_device = torch.device(device)
         assert torch_device.type != "cpu", "Host doesn't support single-node DDP"
-        assert (
-            torch_device.index is None
-        ), f"DDP requires specification of device type only, however provided device index as well: {torch_device}"
+        assert torch_device.index is None, (
+            f"DDP requires specification of device type only, however provided device index as well: {torch_device}"
+        )
         dist.init_process_group(backend=train_config.dist_backend)
         # from here onward "qaic/cuda" will automatically map to "qaic:i/cuda:i", where i = process rank
         getattr(torch, torch_device.type).set_device(dist.get_rank())
@@ -126,7 +126,6 @@ def main(**kwargs):
             model = get_peft_model(model, peft_config)
         model.print_trainable_parameters()
 
-
     # Get the dataset utils
     dataset_config = generate_dataset_config(train_config, kwargs)
     dataset_processer = tokenizer

QEfficient/finetune/utils/train_utils.py

@@ -211,7 +211,6 @@ def train(
                 train_step_loss.append(loss.detach().float().item())
                 train_step_perplexity.append(float(torch.exp(loss.detach().float())))
 
-
             if train_config.grad_scaler:
                 scaler.scale(loss).backward()  # backward pass
             else: