path: "tensorflow.profiler"
tf_module {
  member {
    name: "AdviceProto"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "GraphNodeProto"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "MultiGraphNodeProto"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "OpLogProto"
    mtype: "<class \'google.protobuf.pyext.cpp_message.GeneratedProtocolMessageType\'>"
  }
  member {
    name: "ProfileOptionBuilder"
    mtype: "<type \'type\'>"
  }
  member {
    name: "Profiler"
    mtype: "<type \'type\'>"
  }
  member_method {
    name: "advise"
    argspec: "args=[\'graph\', \'run_meta\', \'options\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'0\'], "
  }
  member_method {
    name: "profile"
    argspec: "args=[\'graph\', \'run_meta\', \'op_log\', \'cmd\', \'options\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'scope\', \'0\'], "
  }
  member_method {
    name: "write_op_log"
    argspec: "args=[\'graph\', \'log_dir\', \'op_log\', \'run_meta\', \'add_trace\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'True\'], "
  }
}