class_docstr: Prints summary statistics of all tf variables.
class_docstr_tok: ["Prints","summary","statistics","of","all","tf","variables","."]
code: def after_run(self, _, vals):
      print("=============")
      print("Weight stats:")
      for v, r in zip(self._fetches, vals.results):
          print("\t", v.name, np.min(r), np.mean(r), np.max(r), r.shape)
      print("=============")
  
imports: import os
  import time
  from absl import logging
  from magenta.models.gansynth.lib import networks
  import numpy
  import tensorflow.compat.v1
  import tensorflow_gan
label_desc: Use image node_id 3 for calling the ProganDebugHook obj's underlying member method code with example usage: obj.after_run(_, vals) without return types