קgrddlmZmZddlmZddlmZddlmZm Z dddded e d ee fd Z d efd Z dS))CallableOptional) TorchRefsMode) GraphModule)make_fxwrapper_and_args_for_make_fxatenN)executorexecutor_parametersgmr r cL|dkr |j|Sd|d}t|)zJ Prototype ATen executor. Just executes the context's graph. r z*Received unexpected value for 'executor': z. Allowed values are: aten.)forward ValueError)r r r argsmsgs Q/var/www/html/ai-engine/env/lib/python3.11/site-packages/torch/_prims/executor.pyexecuter s:6rz4  \x \ \ \C S//fncddfd }|S)a 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') r r ct||\}}t5t||}dddn #1swxYwYt|||S)Nr)rrrr)r rkwargswrappedall_argsr rs r_tracedzmake_traced.._traced4s8T6JJ __ , ,!!!(++B , , , , , , , , , , , , , , ,r8h7777sA  A A )rrs` r make_tracedrs20!'8888888 Nr)typingrrtorch._prims.contextrtorch.fxr"torch.fx.experimental.proxy_tensorrrstrdictrrrrrr%s%%%%%%%%...... TTTTTTTT *. "$ & H      r