Add model checksum api for track original model.

mace/examples/mace_run.cc

@@ -32,6 +32,8 @@ namespace MACE_MODEL_TAG {
 
 extern NetDef CreateNet();
 
+extern const std::string ModelChecksum();
+
 }
 }
 
@@ -140,6 +142,7 @@ int main(int argc, char **argv) {
 
   VLOG(0) << "mace version: " << MaceVersion() << std::endl
           << "mace git version: " << MaceGitVersion() << std::endl
+          << "model checksum: " << mace::MACE_MODEL_TAG::ModelChecksum() << std::endl
           << "input_shape: " << input_shape << std::endl
           << "output_shape: " << output_shape << std::endl
           << "input_file: " << input_file << std::endl

mace/python/tools/model.template

@@ -263,6 +263,10 @@ NetDef CreateNet() {
   return net_def;
 }
 
+const std::string ModelChecksum() {
+  return {{ model_pb_checksum|tojson }};
+}
+
 }  // namespace {{tag}}
 }  // namespace mace
 {% endif %}

mace/python/tools/source_converter_lib.py

@@ -86,7 +86,7 @@ class TensorInfo:
 def stringfy(value):
   return ', '.join('"{0}"'.format(w) for w in value)
 
-def convert_to_source(net_def, template, obfuscate, model_tag, output, runtime):
+def convert_to_source(net_def, mode_pb_checksum, template, obfuscate, model_tag, output, runtime):
   if obfuscate:
     obfuscate_name(net_def)
   else:
@@ -140,6 +140,7 @@ def convert_to_source(net_def, template, obfuscate, model_tag, output, runtime):
     tag = model_tag,
     mode = 2,
     runtime = runtime,
+    model_pb_checksum = mode_pb_checksum,
   )
   with gfile.GFile(output, "wb") as f:
     f.write(source)

mace/python/tools/tf_converter.py

 import argparse
 import sys
+import hashlib
 import tensorflow as tf
 from tensorflow import gfile
 from mace.proto import mace_pb2
@@ -11,11 +12,19 @@ from mace.python.tools import source_converter_lib
 
 FLAGS = None
 
+def md5(fname):
+  hash_md5 = hashlib.md5()
+  with open(fname, "rb") as f:
+    for chunk in iter(lambda: f.read(4096), b""):
+      hash_md5.update(chunk)
+  return hash_md5.hexdigest()
+
 def main(unused_args):
   if not gfile.Exists(FLAGS.input):
     print("Input graph file '" + FLAGS.input + "' does not exist!")
     return -1
 
+  mode_pb_checksum = md5(FLAGS.input)
   input_graph_def = tf.GraphDef()
   with gfile.Open(FLAGS.input, "rb") as f:
     data = f.read()
@@ -29,7 +38,7 @@ def main(unused_args):
       input_graph_def, FLAGS.input_node, FLAGS.output_node, FLAGS.data_type, FLAGS.runtime)
 
   if FLAGS.output_type == 'source':
-    source_converter_lib.convert_to_source(output_graph_def, FLAGS.template, FLAGS.obfuscate,
+    source_converter_lib.convert_to_source(output_graph_def, mode_pb_checksum, FLAGS.template, FLAGS.obfuscate,
       FLAGS.model_tag, FLAGS.output, FLAGS.runtime)
   else:
     with gfile.GFile(FLAGS.output, "wb") as f: