code: def _reshape_fortran_tf(x, shape):
      if len(x.shape) > 0:
          x = tf.transpose(x)
      return tf.transpose(tf.reshape(x, shape[::-1]))
  
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 1 for calling a global function with example usage: _reshape_fortran_tf(x, shape) and returns: tf