code: def _round_to_multiple(
      number: int,
      multiple: int,
      round_up: bool = True,
  ) -> int:
      """Assumes arguments are positive integers"""
      return (
          (number + multiple - 1 if round_up else number)
          // multiple
          * multiple
      )
  
imports: import collections
  import contextlib
  from dataclasses import dataclass
  import enum
  import inspect
  import io
  import itertools
  import threading
  from typing import Any, Callable, Dict, Iterable, List, Optional, Set, Tuple, Union
  import warnings
  import torch
  from torch.distributed.distributed_c10d import _get_default_group
  from apex.multi_tensor_apply import multi_tensor_applier
  import amp_C
  import distributed_adam_cuda
  from torch.distributed.distributed_c10d import _coalescing_manager
label_desc: Use image node_id 1 for calling a global function with example usage: _round_to_multiple(number, multiple, round_up) and returns: unknown