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Use safe_is_leaf to test leafness #102706

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Use safe_is_leaf to test leafness #102706

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3 changes: 2 additions & 1 deletion torch/_functorch/aot_autograd.py
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Original file line number Diff line number Diff line change
Expand Up @@ -19,6 +19,7 @@
import torch.utils._pytree as pytree
import torch.utils.dlpack
from torch import Tensor
from torch._subclasses.meta_utils import safe_is_leaf
from torch._dispatch.python import enable_python_dispatcher
from torch._dynamo.utils import dynamo_timed, lazy_format_graph_code
from torch._guards import detect_fake_mode, tracing
Expand Down Expand Up @@ -748,7 +749,7 @@ def inner(*flat_args):
mutates_metadata = False

input_info.append(InputAliasInfo(
is_leaf=isinstance(arg, torch.Tensor) and arg.is_leaf,
is_leaf=isinstance(arg, torch.Tensor) and safe_is_leaf(arg),
mutates_data=mutates_data,
mutates_metadata=mutates_metadata
))
Expand Down