9i2SSKrSSKr\RRSS5r\R S5 \RR \SS5\RR \SS5S\RS \S \R4S j55r S r g) NexportFRAGMENTzLaccess_subclass_inner_tensor(Tensor src_subclass_tensor, str attr) -> Tensoraccess_subclass_inner_tensorAutogradPythonsrc_subclass_tensorattrreturncSSKJn U"U5(de[XS5nUb[U[R 5(d[ SUSU35eU$)Nr)is_traceable_wrapper_subclassz Attribute z% is not a tensor or doesn't exist in )torch.utils._python_dispatchr getattr isinstancetorchTensor RuntimeError)rr r vals W/var/www/html/land-doc-ocr/venv/lib/python3.13/site-packages/torch/export/custom_ops.py_access_subclass_inner_tensorrscK ()< = == = %T 2C {*S%,,77CDWCX Y   JcURSS5up4[R"U5n[XT5n[ US5(deUR "U0UD6$)aA Import a custom autograd function by string name and call it. This is pretty bad because: 1) There is no schema Ideally we should automatically wrap custom autograd functions with a custom op, but that is too much work because we need to schematize custom autograd functions. For now, we just hackily put it in the IR. .apply)rsplit importlib import_modulerhasattrr)function_cls_nameargskwargs module_name class_namemodule function_clss r._call_custom_autograd_function_in_pre_dispatchr& s^066sA>K $ $[ 1F6.L < ) )) )   t .v ..r) rrlibraryLibrarylibdefineimplrstrrr&rrr.s  mmHj1 R C7DC7B  -0  \\ CE /r