TF Model Optimization code 3

describe_graph.py

def describe_graph(graph_def, show_nodes=False):
  print('Input Feature Nodes: {}'.format(
      [node.name for node in graph_def.node if node.op=='Placeholder']))
  print('')
  print('Unused Nodes: {}'.format(
      [node.name for node in graph_def.node if 'unused'  in node.name]))
  print('')
  print('Output Nodes: {}'.format( 
      [node.name for node in graph_def.node if (
          'predictions' in node.name or 'softmax' in node.name)]))
  print('')
  print('Quantization Nodes: {}'.format(
      [node.name for node in graph_def.node if 'quant' in node.name]))
  print('')
  print('Constant Count: {}'.format(
      len([node for node in graph_def.node if node.op=='Const'])))
  print('')
  print('Variable Count: {}'.format(
      len([node for node in graph_def.node if 'Variable' in node.op])))
  print('')
  print('Identity Count: {}'.format(
      len([node for node in graph_def.node if node.op=='Identity'])))
  print('', 'Total nodes: {}'.format(len(graph_def.node)), '')

  if show_nodes==True:
    for node in graph_def.node:
      print('Op:{} - Name: {}'.format(node.op, node.name))