profile.py 文件源码

def load_metadata(model_dir):
  """Loads RunMetadata, Graph and OpLog from files
  """
  # Import RunMetadata
  run_meta_path = os.path.join(model_dir, "metadata/run_meta")
  run_meta = tf.RunMetadata()
  if gfile.Exists(run_meta_path):
    with gfile.GFile(run_meta_path, "rb") as file:
      run_meta.MergeFromString(file.read())
    print("Loaded RunMetadata from {}".format(run_meta_path))
  else:
    print("RunMetadata does not exist a {}. Skipping.".format(run_meta_path))

  # Import Graph
  graph_def_path = os.path.join(model_dir, "graph.pbtxt")
  graph = tf.Graph()
  if gfile.Exists(graph_def_path):
    with graph.as_default():
      _register_function_ops(CUSTOM_OP_FUNCTIONS)
      graph_def = tf.GraphDef()
      with gfile.GFile(graph_def_path, "rb") as file:
        text_format.Parse(file.read(), graph_def)
      tf.import_graph_def(graph_def, name="")
      print("Loaded Graph from {}".format(graph_def_path))
  else:
    print("Graph does not exist a {}. Skipping.".format(graph_def_path))

  # Import OpLog
  op_log_path = os.path.join(model_dir, "metadata/tfprof_log")
  op_log = tfprof_log_pb2.OpLog()
  if gfile.Exists(op_log_path):
    with gfile.GFile(op_log_path, "rb") as file:
      op_log.MergeFromString(file.read())
      print("Loaded OpLog from {}".format(op_log_path))
  else:
    print("OpLog does not exist a {}. Skipping.".format(op_log_path))

  return run_meta, graph, op_log