code: def iterate(
      name,
      iterable: Union[Iterable, Sized, int] = None,
      total_steps: Optional[int] = None,
      *,
      is_silent: bool = False,
      is_children_silent: bool = False,
      is_timed: bool = True,
      is_track: bool = False,
      is_not_in_loop: bool = False,
      context=None,
  ):
      """
      This creates a monitored iterator.
  
      Arguments:
          name (str, optional): Name of the iterator
          iterable (Union[Iterable, Sized, int]): The iterable
          total_steps (int, optional): Total number of steps. If not provided this is
              calculated from ``iterable``.
  
      Keyword Arguments:
          is_silent (bool, optional): Whether not to print time taken. Defaults to ``False``.
          is_timed (bool, optional): Whether to measure time. Default to ``True``.
          is_children_silent (bool, optional): Whether to make child sections silent.
              Defaults to ``True``.
          is_track (bool, optional): Whether to track the time.
              Defaults to ``False``.
          is_not_in_loop (bool, optional): Whether to forcefully track this outside :func:`loop`.
              Defaults to ``False``.
          context (optional): Reference to another section that will be used for monitoring the iteration.
      """
      if iterable is None:
          iterable = name
          name = "Iterate"
  
      return _internal().iterate(
          name,
          iterable,
          total_steps,
          is_silent=is_silent,
          is_children_silent=is_children_silent,
          is_timed=is_timed,
          is_track=is_track,
          is_not_in_loop=is_not_in_loop,
          section=context,
      )
  
imports: import functools
  from typing import Iterable, Sized, Collection, Callable, Tuple, Any, Dict
  from typing import Union, Optional, overload
  from labml.internal.monitor import TimeSummary
  from labml.internal.monitor import monitor_singleton
label_desc: Use image node_id 3 for calling a global function with example usage: iterate(name, iterable, total_steps) and returns: _internal