text: #
  # Copyright 2016 The BigDL Authors.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  #
  import tensorflow as tf
  from nets import alexnet
  from sys import argv
  
  from util import run_model
  
  def main():
      """
      You can also run these commands manually to generate the pb file
      1. git clone https://github.com/tensorflow/models.git
      2. export PYTHONPATH=Path_to_your_model_folder
      3. python alexnet.py
      """
      height, width = 224, 224
      inputs = tf.Variable(tf.random_uniform((1, height, width, 3)), name = 'input')
      net, end_points = alexnet.alexnet_v2(inputs, is_training=False)
      print("nodes in the graph")
      for n in end_points:
          print(n + " => " + str(end_points[n]))
      net_outputs = map(lambda x: tf.get_default_graph().get_tensor_by_name(x), argv[2].split(','))
      run_model(net_outputs, argv[1], 'alexnet', argv[3] == 'True')
  
  if __name__ == "__main__":
      main()
  