[Thu SSKJrJrJrJr SSKJrJrJr SSK J r SSK J r SSK JrJr \"S5r\"S5r\"S5rS S S .S \ S \\S\S\\S\4 SjjrS\\\4S\\\44Sjrg ))AnyCallableOptionalTypeVar) ParamSpec TypeVarTupleUnpack) TorchRefsMode) GraphModule)make_fxwrapper_and_args_for_make_fxTPTsatenN)executorexecutor_parametersgmargsrrreturncNUS:XaUR"U6$SUS3n[U5e)z> Prototype ATen executor. Just executes the context's graph. rz*Received unexpected value for 'executor': z. Allowed values are: aten.)forward ValueError)rrrrmsgs M/var/www/auris/envauris/lib/python3.13/site-packages/torch/_prims/executor.pyexecuters46zz4  6xj@[ \C S/fncd^S[RS[RS[4U4SjjnU$)av Returns a function that, when called, will trace its torch operations to prims and then execute those prims on the requested trace executor (possibly lowering them to that trace executor first). Only supports the torch operations defined in _torch_to_reference_map in context.py and operations with positional args. All args must be tensors. In the near future all these restrictions will be lifted. Example usage: def foo(a, b): return torch.add(a, b) traced_foo = make_traced(foo) a = torch.randn((1, 2, 3, 4, 5), device='cuda') b = torch.randn((1, 2, 3, 4, 5), device='cuda') result = traced_foo(a, b, executor='aten') rkwargsrc>[URSS55n[TX5up4[5 [ U5"U5nSSS5 [ WXBS9$!,(df  N=f)Nrr)r)strpopr r r r)rr rwrappedall_argsrrs r_tracedmake_traced.._traced9sWvzz*f569TJ _!(+Br877_s A A')rrr r)rr&s` r make_tracedr(!s,08qvv88a8 Nr)typingrrrrtyping_extensionsrrr torch._prims.contextr torch.fxr "torch.fx.experimental.proxy_tensorr r rrrr"dictrr(rrr0s33==. T CL cN$ *.  ":"$   &"HQTN"x1~"r