Loading preprocessing/graph_reader.py 0 → 100644 +27 −0 Original line number Diff line number Diff line import tensorflow as tf from argparse import ArgumentParser def main(): parser = ArgumentParser( description='' ) parser.add_argument( '-g', '--graph', required=True, help='path to graph' ) args = parser.parse_args() filename = args.graph gf = tf.GraphDef() gf.ParseFromString(open(filename, 'rb').read()) with open(filename + '_layers.txt', 'w') as f: with open(filename + '_layers_for_lucid.txt', 'w') as w: for n in gf.node: if 'Concat' in n.op: w.write(n.name + ' => ' + n.op + '\n') f.write(n.name + ' => ' + n.op + '\n') f.write(n.name + ' => ' + n.op + '\n') if __name__ == '__main__': main() Loading
preprocessing/graph_reader.py 0 → 100644 +27 −0 Original line number Diff line number Diff line import tensorflow as tf from argparse import ArgumentParser def main(): parser = ArgumentParser( description='' ) parser.add_argument( '-g', '--graph', required=True, help='path to graph' ) args = parser.parse_args() filename = args.graph gf = tf.GraphDef() gf.ParseFromString(open(filename, 'rb').read()) with open(filename + '_layers.txt', 'w') as f: with open(filename + '_layers_for_lucid.txt', 'w') as w: for n in gf.node: if 'Concat' in n.op: w.write(n.name + ' => ' + n.op + '\n') f.write(n.name + ' => ' + n.op + '\n') f.write(n.name + ' => ' + n.op + '\n') if __name__ == '__main__': main()