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We should be able to support this if there are no graph breaks:
import torch import contextlib lst = [] @contextlib.contextmanager def lst_append(): try: yield finally: lst.append(4) @torch.compile(backend="eager", fullgraph=True) def f(x): with lst_append(): pass return x = torch.randn(2) f(x) print(lst)
cc @ezyang @anijain2305 @chauhang @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng
The text was updated successfully, but these errors were encountered:
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We should be able to support this if there are no graph breaks:
cc @ezyang @anijain2305 @chauhang @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @chenyang78 @kadeng
The text was updated successfully, but these errors were encountered: