convert_from_tensorflow.py: add option to dump graph for visualization in tensorboard

Guo, Yejun committed 7 years ago

Commit 2c014341 parent aac382e2 files · +12 −7Browse files

Unified · Split

2 files

     parser.add_argument('--outdir', type=str, default='./', help='where to put generated files')
     parser.add_argument('--infmt', type=str, default='tensorflow', help='format of the deep learning model')
     parser.add_argument('infile', help='path to the deep learning model with weights')
+    parser.add_argument('--dump4tb', type=str, default='no', help='dump file for visualization in tensorboard')
     return parser.parse_args()
     basefile = os.path.split(args.infile)[1]
     basefile = os.path.splitext(basefile)[0]
     outfile = os.path.join(args.outdir, basefile) + '.model'
+    dump4tb = False
+    if args.dump4tb.lower() in ('yes', 'true', 't', 'y', '1'):
+        dump4tb = True
     if args.infmt == 'tensorflow':
-        convert_from_tensorflow(args.infile, outfile)
+        convert_from_tensorflow(args.infile, outfile, dump4tb)
 if __name__ == '__main__':
     main()

 __all__ = ['convert_from_tensorflow']
 class TFConverter:
-    def __init__(self, graph_def, nodes, outfile):
+    def __init__(self, graph_def, nodes, outfile, dump4tb):
         self.graph_def = graph_def
         self.nodes = nodes
         self.outfile = outfile
+        self.dump4tb = dump4tb
         self.layer_number = 0
         self.output_names = []
         self.name_node_dict = {}
     def dump_for_tensorboard(self):
         graph = tf.get_default_graph()
         tf.import_graph_def(self.graph_def, name="")
-        # tensorboard --logdir=/tmp/graph
         tf.summary.FileWriter('/tmp/graph', graph)
+        print('graph saved, run "tensorboard --logdir=/tmp/graph" to see it')
     def get_conv2d_params(self, node):
         self.remove_identity()
         self.generate_edges()
-        #check the graph with tensorboard with human eyes
+        if self.dump4tb:
-        #self.dump_for_tensorboard()
+            self.dump_for_tensorboard()
         self.dump_to_file()
-def convert_from_tensorflow(infile, outfile):
+def convert_from_tensorflow(infile, outfile, dump4tb):
     with open(infile, 'rb') as f:
         # read the file in .proto format
         graph_def = tf.GraphDef()
         graph_def.ParseFromString(f.read())
         nodes = graph_def.node
-    converter = TFConverter(graph_def, nodes, outfile)
+    converter = TFConverter(graph_def, nodes, outfile, dump4tb)
     converter.run()

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