Name	Size	Mode	Actions
experimental/	-	0755	rm
passes/	-	0755	rm
__pycache__/	-	0755	rm
annotate.py	929	0644	editdlrm
graph.py	49098	0644	editdlrm
graph_module.py	28764	0644	editdlrm
immutable_collections.py	1312	0644	editdlrm
interpreter.py	18541	0644	editdlrm
node.py	25953	0644	editdlrm
operator_schemas.py	18169	0644	editdlrm
proxy.py	14807	0644	editdlrm
subgraph_rewriter.py	16983	0644	editdlrm
tensor_type.py	2889	0644	editdlrm
_compatibility.py	1000	0644	editdlrm
_pytree.py	1898	0644	editdlrm
_symbolic_trace.py	38082	0644	editdlrm
__init__.py	3769	0644	editdlrm

from ._compatibility import compatibility _help_mutation = """\ If you are attempting to modify the kwargs or args of a torch.fx.Node object, instead create a new copy of it and assign the copy to the node: new_args = ... # copy and mutate args node.args = new_args """ def _no_mutation(self, *args, **kwargs): raise NotImplementedError(f"'{type(self).__name__}' object does not support mutation. {_help_mutation}") def _create_immutable_container(base, mutable_functions): container = type('immutable_' + base.__name__, (base,), {}) for attr in mutable_functions: setattr(container, attr, _no_mutation) return container immutable_list = _create_immutable_container(list, ['__delitem__', '__iadd__', '__imul__', '__setitem__', 'append', 'clear', 'extend', 'insert', 'pop', 'remove']) immutable_list.__reduce__ = lambda self: (immutable_list, (tuple(iter(self)),)) compatibility(is_backward_compatible=True)(immutable_list) immutable_dict = _create_immutable_container(dict, ['__delitem__', '__setitem__', 'clear', 'pop', 'popitem', 'update']) immutable_dict.__reduce__ = lambda self: (immutable_dict, (iter(self.items()),)) compatibility(is_backward_compatible=True)(immutable_dict)