#
# 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 vgg
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  = vgg.vgg_a(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])

if __name__ == "__main__":
    main()