TF Model Optimization 7

optimize_graph.py

from tensorflow.tools.graph_transforms import TransformGraph

def get_graph_def_from_file(graph_filepath):
  with ops.Graph().as_default():
    with tf.gfile.GFile(graph_filepath, 'rb') as f:
      graph_def = tf.GraphDef()
      graph_def.ParseFromString(f.read())
      return graph_def

def optimize_graph(model_dir, graph_filename, transforms, output_node):
  input_names = []
  output_names = [output_node]
  if graph_filename is None:
    graph_def = get_graph_def_from_saved_model(model_dir)
  else:
    graph_def = get_graph_def_from_file(os.path.join(model_dir, graph_filename))
  optimized_graph_def = TransformGraph(
      graph_def,
      input_names,
      output_names,
      transforms)
  tf.train.write_graph(optimized_graph_def,
                      logdir=model_dir,
                      as_text=False,
                      name='optimized_model.pb')
  print('Graph optimized!')