code: def shapeless_placeholder(x, axis, name):
      """
      Make the static shape of a tensor less specific.
  
      If you want to feed to a tensor, the shape of the feed value must match
      the tensor's static shape. This function creates a placeholder which
      defaults to x if not fed, but has a less specific static shape than x.
      See also `tensorflow#5680 <https://github.com/tensorflow/tensorflow/issues/5680>`_.
  
      Args:
          x: a tensor
          axis(int or list of ints): these axes of ``x.get_shape()`` will become
              None in the output.
          name(str): name of the output tensor
  
      Returns:
          a tensor equal to x, but shape information is partially cleared.
      """
      shp = x.get_shape().as_list()
      if not isinstance(axis, list):
          axis = [axis]
      for a in axis:
          if shp[a] is None:
              raise ValueError(
                  "Axis {} of shape {} is already unknown!".format(
                      a, shp
                  )
              )
          shp[a] = None
      x = tf.placeholder_with_default(x, shape=shp, name=name)
      return x
  
imports: import argparse
  import numpy
  import os
  import cv2
  import tensorflow
  from tensorpack import *
  from tensorpack.dataflow import dataset
  from tensorpack.tfutils import gradproc, optimizer, summary
  from tensorpack.tfutils.scope_utils import auto_reuse_variable_scope, under_name_scope
  from tensorpack.utils import viz
  from GAN import GANModelDesc, GANTrainer
label_desc: Use image node_id 1 for calling a global function with example usage: shapeless_placeholder(x, axis, name) and returns: x