code: def stack(
      arrays: Union[Tuple[tf.Tensor], List[tf.Tensor]],
      /,
      *,
      axis: int = 0,
      out: Optional[Union[tf.Tensor, tf.Variable]] = None,
  ) -> Union[tf.Tensor, tf.Variable]:
      try:
          return tf.experimental.numpy.stack(arrays, axis)
      except ValueError as e:
          raise ivy.utils.exceptions.IvyIndexError(e) from e
  
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 9 for calling a global function with example usage: stack() and returns: tf