| # | |
| # 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() | |