code: def modf(
      x: Union[tf.Tensor, tf.Variable],
      /,
      *,
      out: Optional[Union[tf.Tensor, tf.Variable]] = None,
  ) -> Tuple[
      Union[tf.Tensor, tf.Variable], Union[tf.Tensor, tf.Variable]
  ]:
      integer_part = tf.math.floor(x)
      fractional_part = x - integer_part
      return fractional_part, integer_part
  
imports: import operator
  from typing import Union, Optional, Tuple, List, Sequence
  from numbers import Number
  import tensorflow
  from tensorflow.python.ops.numpy_ops import np_math_ops
  import ivy
  from ivy import promote_types_of_inputs
  from ivy.func_wrapper import with_unsupported_dtypes, with_supported_dtypes
  from ..None import backend_version
label_desc: Use image node_id 25 for calling a global function with example usage: modf() and returns: fractional_part,  integer_part