code: def array_equal(
      x0: Union[tf.Tensor, tf.Variable],
      x1: Union[tf.Tensor, tf.Variable],
      /,
  ) -> bool:
      x0, x1 = ivy.promote_types_of_inputs(x0, x1)
      return bool(tf.experimental.numpy.array_equal(x0, x1))
  
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 2 for calling a global function with example usage: array_equal() and returns: bool