| # Copyright (c) 2023-2024, Zexin He | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # https://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| # -*- coding: utf-8 -*- | |
| # @Organization : Tongyi Lab, Alibaba | |
| # @Author : Lingteng Qiu | |
| # @Email : 220019047@link.cuhk.edu.cn | |
| # @Time : 2025-08-31 10:02:15 | |
| # @Function : Torch dynamo configuration | |
| from accelerate.logging import get_logger | |
| logger = get_logger(__name__) | |
| def configure_dynamo(config: dict): | |
| try: | |
| import torch._dynamo | |
| logger.debug(f"Configuring torch._dynamo.config with {config}") | |
| for k, v in config.items(): | |
| if v is None: | |
| logger.debug(f"Skipping torch._dynamo.config.{k} with None") | |
| continue | |
| if hasattr(torch._dynamo.config, k): | |
| logger.warning( | |
| f"Overriding torch._dynamo.config.{k} from {getattr(torch._dynamo.config, k)} to {v}" | |
| ) | |
| setattr(torch._dynamo.config, k, v) | |
| except ImportError: | |
| logger.debug("torch._dynamo not found, skipping") | |
| pass | |