[pre-commit.ci] auto fixes from pre-commit.com hooks

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examples/tutorial/opt/opt/run_clm.py

@@ -20,6 +20,7 @@ on a text file or a dataset without using HuggingFace Trainer.
 Here is the full list of checkpoints on the hub that can be fine-tuned by this script:
 https://huggingface.co/models?filter=text-generation
 """
+
 # You can also adapt this script on your own causal language modeling task. Pointers for this are left as comments.
 
 import math

examples/tutorial/sequence_parallel/data/__init__.py

@@ -18,7 +18,7 @@ def cyclic_iter(iter):
 def build_train_valid_test_data_iterators(
     train_iters, global_batch_size, eval_interval, eval_iters, dataloader_type="single", **kwargs
 ):
-    (train_dataloader, valid_dataloader, test_dataloader) = (None, None, None)
+    train_dataloader, valid_dataloader, test_dataloader = (None, None, None)
 
     logger = get_dist_logger()
     logger.info("> building train, validation, and test datasets ...", ranks=[0])

examples/tutorial/sequence_parallel/data/datasets/bert_dataset.py

@@ -252,7 +252,7 @@ def build_training_sample(
 
     # Masking.
     max_predictions_per_seq = masked_lm_prob * max_num_tokens
-    (tokens, masked_positions, masked_labels, _) = create_masked_lm_predictions(
+    tokens, masked_positions, masked_labels, _ = create_masked_lm_predictions(
         tokens,
         vocab_id_list,
         vocab_id_to_token_dict,

examples/tutorial/sequence_parallel/data/datasets/data_samplers.py

@@ -14,7 +14,6 @@
 # limitations under the License.
 """Dataloaders."""
 
-
 import torch
 
 from colossalai.legacy.context import ParallelMode