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https://github.com/pytorch/pytorch/issues/105555 Existing flow first exports and then calls torch._inductor.aot_compile. However, export calls aot_autograd with the core aten decomposition table, and then torch._inductor.aot_compile calls aot_autograd again with the inductor decomposition table. The 2nd calling of aot_autograd is supposedly causing some problems, and seems excessive, so instead we will create a new function, torch._export.aot_compiler which will export using the inductor decomposition table, pass it to inductor's compile_fx_aot, and because it has already been exported, avoid recalling aot_autograd. ``` def aot_compile( f: Callable, args: Tuple[Any], kwargs: Optional[Dict[str, Any]] = None, constraints: Optional[List[Constraint]] = None, ) -> Tuple[str, ExportedProgram]: ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/105977 Approved by: https://github.com/desertfire, https://github.com/zhxchen17, https://github.com/eellison |
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| .. | ||
| aot_inductor | ||
| api | ||
| c10d | ||
| common | ||
| dist_autograd | ||
| jit | ||
| lazy | ||
| lite_interpreter_runtime | ||
| monitor | ||
| profiler | ||
| rpc | ||
| tensorexpr | ||
| __init__.py | ||