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434b0b0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 | # 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
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