| import os | |
| from keras import backend as K | |
| import tensorflow as tf | |
| from tensorflow.python.tools.freeze_graph import freeze_graph | |
| def exportModelToTF(tfModelOutputDir): | |
| if not os.path.exists(tfModelOutputDir): | |
| os.makedirs(tfModelOutputDir) | |
| # Save checkpoint | |
| saver = tf.train.Saver() | |
| save_path = saver.save(K.get_session(), tfModelOutputDir + "/model") | |
| # Save metagraph | |
| tf.train.write_graph(K.get_session().graph.as_graph_def(), "", tfModelOutputDir + "/metagraph.pb", False) | |
| # Freeze graph | |
| freeze_graph(input_graph=tfModelOutputDir + "/metagraph.pb", input_saver="", input_binary=True, | |
| input_checkpoint=tfModelOutputDir + "/model", output_node_names='softmax/Softmax', | |
| restore_op_name="save/restore_all", filename_tensor_name="save/Const:0", | |
| output_graph=tfModelOutputDir + "/graph.pb", clear_devices=True, initializer_nodes="") | |