tensorflow/tools/api/golden/v2/tensorflow.train.-checkpoint.pbtxt

path: "tensorflow.train.Checkpoint"
tf_class {
  is_instance: "<class \'tensorflow.python.training.tracking.util.Checkpoint\'>"
  is_instance: "<class \'tensorflow.python.training.tracking.tracking.AutoTrackable\'>"
  is_instance: "<class \'tensorflow.python.training.tracking.base.Trackable\'>"
  is_instance: "<type \'object\'>"
  member {
    name: "save_counter"
    mtype: "<type \'property\'>"
  }
  member_method {
    name: "__init__"
    argspec: "args=[\'self\', \'root\'], varargs=None, keywords=kwargs, defaults=[\'None\'], "
  }
  member_method {
    name: "read"
    argspec: "args=[\'self\', \'save_path\', \'options\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "restore"
    argspec: "args=[\'self\', \'save_path\', \'options\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "save"
    argspec: "args=[\'self\', \'file_prefix\', \'options\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "write"
    argspec: "args=[\'self\', \'file_prefix\', \'options\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
}