Method to_executorch

exir/program/_program.py:520–557

(
        self,
        config: Optional[ExecutorchBackendConfig] = None,
    )

        print(self.exported_program.graph_module.graph)

    def to_executorch(
        self,
        config: Optional[ExecutorchBackendConfig] = None,
    ) -> "ExecutorchProgram":
        if not self.after_to_edge_passes:
            raise RuntimeError("Must run to_edge before to_executorch.")
        config = config or ExecutorchBackendConfig()
        new_gm = self.exported_program.graph_module
        for p in edge_to_executorch_passes(config):
            new_gm_res = p(new_gm)
            assert new_gm_res is not None
            new_gm = new_gm_res.graph_module

        # This is tech debt on tech debt. memory planning pass inherits from some pass infra for GMs.
        # This isnt enough info now so i cant use call I have to use some new function 'run'.
        # Existing user passes dont use run so Im just cheating here because they dont need to work on mutable buffers yet.
        # After exir.capture is gone I will clean up the memory planning infra to be consistent.
        # Frankly all of exir has big code quality issues because of the migrations that need to be addressed.
        new_gm_res = config.memory_planning_pass(new_gm)  # pyre-ignore[29]
        assert new_gm_res is not None
        new_gm = new_gm_res.graph_module
        new_prog = ExirExportedProgram(
            copy.deepcopy(self.exported_program), self.after_to_edge_passes
        )
        _copy_module(new_prog.exported_program.graph_module, new_gm)
        executorch_prog = ExecutorchProgram(
            new_prog,
            emit_stacktrace=config.emit_stacktrace,
            extract_delegate_segments=config.extract_delegate_segments,
            segment_alignment=config.segment_alignment,
            constant_tensor_alignment=config.constant_tensor_alignment,
            delegate_alignment=config.delegate_alignment,
        )
        executorch_prog.graph_module.meta.update(new_gm.meta)
        executorch_prog.graph_module.meta.update(
            self.exported_program.graph_module.meta
        )
        return executorch_prog

    def __deepcopy__(
        self, memo: Optional[Dict[int, Any]] = None