fix pre-commit

llama_stack/providers/datatypes.py

@@ -9,7 +9,7 @@ from typing import Any, List, Optional, Protocol
 from urllib.parse import urlparse
 
 from llama_models.schema_utils import json_schema_type
-from llama_stack.apis import post_training
+from pydantic import BaseModel, Field
 
 from llama_stack.apis.datasets import Dataset
 from llama_stack.apis.eval_tasks import EvalTask
@@ -17,7 +17,6 @@ from llama_stack.apis.memory_banks.memory_banks import MemoryBank
 from llama_stack.apis.models import Model
 from llama_stack.apis.scoring_functions import ScoringFn
 from llama_stack.apis.shields import Shield
-from pydantic import BaseModel, Field
 
 
 @json_schema_type

llama_stack/providers/inline/post_training/meta_reference/datasets/sft.py

@@ -1,3 +1,9 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates.
+# All rights reserved.
+#
+# This source code is licensed under the terms described in the LICENSE file in
+# the root directory of this source tree.
+
 # Copyright (c) Meta Platforms, Inc. and affiliates.
 # All rights reserved.
 #

llama_stack/providers/inline/post_training/meta_reference/recipes/lora_finetuning_single_device.py

@@ -4,20 +4,17 @@
 # This source code is licensed under the terms described in the LICENSE file in
 # the root directory of this source tree.
 
-import asyncio
 import logging
 import os
-import re
 from functools import partial
 from pathlib import Path
-from typing import Any, Dict, List, Optional, Tuple, Union
+from typing import Any, Dict, List, Optional, Tuple
 
 import torch
 from llama_models.sku_list import resolve_model
 from llama_stack.apis.datasetio import DatasetIO
 from torch import nn
 from torchtune import utils as torchtune_utils
-from torchtune.training.checkpointing._utils import ModelType
 from llama_stack.apis.post_training import *  # noqa
 from llama_stack.apis.post_training import PostTrainingSFTRequest
 from llama_stack.distribution.utils.model_utils import model_local_dir