optimum/exporters/executorch/recipes/coreml.py [102:115]:
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            ).to_executorch(
                config=ExecutorchBackendConfig(**backend_config_dict),
            )
            logging.debug(
                f"\nExecuTorch program for {pte_name}.pte: {et_progs[pte_name].exported_program().graph_module}"
            )
            delegation_info = get_delegation_info(et_progs[pte_name].exported_program().graph_module)
            logging.debug(f"\nDelegation info Summary for {pte_name}.pte: {delegation_info.get_summary()}")
            logging.debug(
                f"\nDelegation info for {pte_name}.pte: {tabulate(delegation_info.get_operator_delegation_dataframe(), headers='keys', tablefmt='fancy_grid')}"
            )
        return et_progs

    exported_progs = model.export()
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optimum/exporters/executorch/recipes/xnnpack.py [85:98]:
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            ).to_executorch(
                config=ExecutorchBackendConfig(**backend_config_dict),
            )
            logging.debug(
                f"\nExecuTorch program for {pte_name}.pte: {et_progs[pte_name].exported_program().graph_module}"
            )
            delegation_info = get_delegation_info(et_progs[pte_name].exported_program().graph_module)
            logging.debug(f"\nDelegation info Summary for {pte_name}.pte: {delegation_info.get_summary()}")
            logging.debug(
                f"\nDelegation info for {pte_name}.pte: {tabulate(delegation_info.get_operator_delegation_dataframe(), headers='keys', tablefmt='fancy_grid')}"
            )
        return et_progs

    exported_progs = model.export()
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