code: def to_scalar(x: Union[tf.Tensor, tf.Variable], /) -> Number:
      ret = to_numpy(x).item()
      if x.dtype == tf.bfloat16:
          return float(ret)
      return ret
  
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 8 for calling a global function with example usage: to_scalar() and returns: ret, float