Convert keras model to pb file

gistfile1.txt

# load keras model from disk
model_name = "GVC_IncepvtionV3_epoch_6_vanilla_vgg_chute_date_2018_07_27"                                  
json_file = open(model_name+'.json', 'r')                          
model_json = json_file.read()                                      
json_file.close()                                                  
model = tensorflow.keras.models.model_from_json(model_json)        
# load weights into new model                                      
model.load_weights(model_name+".h5")                               
print("Loaded model from disk")

from tensorflow.python.framework.graph_util import convert_variables_to_constants

# access the default graph
graph = tensorflow.keras.backend.get_session().graph
# retrieve the protobuf graph definition
input_graph_def = graph.as_graph_def()
output_node_names = "inception_resnet_v2_input,output/Softmax"

# check names of graph
# [n.name for n in graph.as_graph_def().node if "up_sampling2d_42" in n.name]

# TensorFlow built-in helper to export variables to constants
output_graph_def = convert_variables_to_constants(
    sess=tensorflow.keras.backend.get_session(),
    input_graph_def=input_graph_def, # GraphDef object holding the network
    output_node_names=output_node_names.split(",")
)


tf.train.write_graph(output_graph_def,
                     "./",
                     model_name+"_graph.pb",
                     as_text=False)