code: def get_num_dims(x, /, *, as_array=False):
      return (
          tf.cast(tf.shape(tf.shape(x))[0], tf.int64)
          if as_array
          else int(tf.shape(tf.shape(x)))
      )
  
imports: from typing import Optional, Union, Sequence, Callable, Tuple
  import numpy
  import multiprocessing
  from numbers import Number
  import tensorflow
  import ivy
  from ivy.functional.ivy.gradients import _is_variable
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.utils.exceptions import _check_inplace_update_support
  from .None import backend_version
  from ...ivy.general import _broadcast_to
label_desc: Use image node_id 13 for calling a global function with example usage: get_num_dims() and returns: unknown