code: def zero_pad(
      x,
      /,
      pad_width,
      *,
      out: Optional[Union[tf.Tensor, tf.Variable]] = None,
  ):
      if x.shape == ():
          x = tf.reshape(x, (-1,))
      return tf.pad(x, pad_width)
  
imports: import math
  from numbers import Number
  from typing import Union, Tuple, Optional, List, Sequence
  import numpy
  import tensorflow
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.ivy.manipulation import _calculate_out_shape
  from .None import backend_version
label_desc: Use image node_id 14 for calling a global function with example usage: zero_pad(pad_width) and returns: tf