def _make_frozen_graph(settings: SerializationSettings, graph: tf.Graph,
sess: tf.Session) -> tf.GraphDef:
with graph.as_default():
target_nodes = ",".join(_process_graph(settings, graph))
graph_def = graph.as_graph_def()
output_graph_def = graph_util.convert_variables_to_constants(
sess, graph_def,
target_nodes.replace(" ", "").split(","))
return output_graph_def
def _process_graph(settings: SerializationSettings, graph: tf.Graph) -> List[str]:
"""
Gets the list of the output nodes present in the graph for inference
:return: list of node names
"""
all_nodes = [x.name for x in graph.as_graph_def().node]
nodes = [x for x in all_nodes if x in POSSIBLE_OUTPUT_NODES | MODEL_CONSTANTS]
logger.info("List of nodes to export for brain :" + settings.brain_name)
for n in nodes:
logger.info("\t" + n)
return nodes