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| # Licensed under the TENCENT HUNYUAN COMMUNITY LICENSE AGREEMENT (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # https://github.com/Tencent-Hunyuan/HunyuanVideo-1.5/blob/main/LICENSE | |
| # | |
| # Unless and only to the extent required by applicable law, the Tencent Hunyuan works and any | |
| # output and results therefrom are provided "AS IS" without any express or implied warranties of | |
| # any kind including any warranties of title, merchantability, noninfringement, course of dealing, | |
| # usage of trade, or fitness for a particular purpose. You are solely responsible for determining the | |
| # appropriateness of using, reproducing, modifying, performing, displaying or distributing any of | |
| # the Tencent Hunyuan works or outputs and assume any and all risks associated with your or a | |
| # third party's use or distribution of any of the Tencent Hunyuan works or outputs and your exercise | |
| # of rights and permissions under this agreement. | |
| # See the License for the specific language governing permissions and limitations under the License. | |
| import torch | |
| from unison.commons.infer_state import get_infer_state | |
| def torch_compile_wrapper(): | |
| """Return a decorator that lazily applies torch.compile when enabled in infer_state.""" | |
| def decorator(func): | |
| def wrapper(*args, **kwargs): | |
| if get_infer_state() and get_infer_state().enable_torch_compile: | |
| compiled_func = torch.compile(func) | |
| return compiled_func(*args, **kwargs) | |
| else: | |
| return func(*args, **kwargs) | |
| return wrapper | |
| return decorator | |