code: def get_distributions(vec_cat, vec_uniform):
      cat = tf.distributions.Categorical(
          logits=vec_cat, validate_args=True, name="cat"
      )
      uni = tf.distributions.Normal(
          vec_uniform,
          scale=1.0,
          validate_args=True,
          allow_nan_stats=False,
          name="uni_a",
      )
      return cat, uni
  
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 2 for calling a global function with example usage: get_distributions(vec_cat, vec_uniform) and returns: cat,  uni