old_contents: """
  unzip the following datafile
  tar
  
  
  ref:
  1. https://stackoverflow.com/questions/40118062/how-to-read-weights-saved-in-tensorflow-checkpoint-file
  2. https://www.tensorflow.org/s/results/?q=freezegraph&p=%2F
  
  Loading meta only might not work.
  If the checkpoint contains:
  model.ckpt.meta
  model.ckpt.index
  model.ckpt.data-XXXX
  
  model_name = model.ckpt
  
  If the checkpoint only contains model.ckpt
  model_name = model.ckpt
  
  
  Checked on inceptionv3 and mobilenet
  """
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import argparse
  import sys
  import math
  import pickle
  
  import numpy as np
  np.set_printoptions(precision=32)
  from tensorflow.python import pywrap_tensorflow
  from tensorflow.python.platform import app
  from tensorflow.python.platform import flags
  CHECK_ALL = True
  # CHECK_ALL = True
  weights_params = {}
  bn_params = {}
  # model_name = "../data/mobilenet_v1_1.0_224.ckpt"
  model_name = "/local/scratch/yaz21/tmp2/model.ckpt-741000"
  reader = pywrap_tensorflow.NewCheckpointReader(model_name)
  var_to_shape_map = reader.get_variable_to_shape_map()
  TEST = False
  w_vars_to_store = {}
  b_vars_to_store = {}
  
  for key in sorted(var_to_shape_map):
      if (key.endswith('/w')):
           w_vars_to_store[key] = var_to_shape_map[key]
           print (key)
      if (key.endswith('/b')):
           b_vars_to_store[key] = var_to_shape_map[key]
           print (key)
  
  vars_to_store = [w_vars_to_store, b_vars_to_store]
  with open('vgg_vars.pkl','wb') as f:
      pickle.dump(vars_to_store,f)
  
new_contents: """
  unzip the following datafile
  tar
  
  
  ref:
  1. https://stackoverflow.com/questions/40118062/how-to-read-weights-saved-in-tensorflow-checkpoint-file
  2. https://www.tensorflow.org/s/results/?q=freezegraph&p=%2F
  
  Loading meta only might not work.
  If the checkpoint contains:
  model.ckpt.meta
  model.ckpt.index
  model.ckpt.data-XXXX
  
  model_name = model.ckpt
  
  If the checkpoint only contains model.ckpt
  model_name = model.ckpt
  
  
  Checked on inceptionv3 and mobilenet
  """
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import argparse
  import sys
  import math
  import pickle
  
  import numpy as np
  np.set_printoptions(precision=32)
  from tensorflow.python import pywrap_tensorflow
  from tensorflow.python.platform import app
  from tensorflow.python.platform import flags
  CHECK_ALL = True
  # CHECK_ALL = True
  weights_params = {}
  bn_params = {}
  # model_name = "../data/mobilenet_v1_1.0_224.ckpt"
  model_name = "/local/scratch/yaz21/tmp2/model.ckpt-741000"
  reader = pywrap_tensorflow.NewCheckpointReader(model_name)
  var_to_shape_map = reader.get_variable_to_shape_map()
  TEST = False
  w_vars_to_store = {}
  b_vars_to_store = {}
  
  for key in sorted(var_to_shape_map):
      if (key.endswith('/w')):
           w_vars_to_store[key] = var_to_shape_map[key]
           print (key)
           print(np.shape(w_vars_to_store[key]))
      if (key.endswith('/b')):
           b_vars_to_store[key] = var_to_shape_map[key]
           print(np.shape(b_vars_to_store[key]))
           print (key)
  
  vars_to_store = [w_vars_to_store, b_vars_to_store]
  with open('vgg_vars.pkl','wb') as f:
      pickle.dump(vars_to_store,f)
  
subject: fix type