code: def _process_empty_axes(input_tensor, axes):
      if axes is None:
          axes = _infer_axes_for_fftn(input_tensor)
      else:
          axes = _ops.convert_to_tensor(axes, _dtypes.int32)
      return axes
  
imports: import re
  import numpy
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import gen_spectral_ops
  from tensorflow.python.ops import manip_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.util import dispatch
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 4 for calling a global function with example usage: _process_empty_axes(input_tensor, axes) and returns: axes