path: "tensorflow.DeviceSpec"
tf_class {
  is_instance: "<class \'tensorflow.python.framework.device_spec.DeviceSpecV2\'>"
  is_instance: "<type \'object\'>"
  member {
    name: "device_index"
    mtype: "<type \'property\'>"
  }
  member {
    name: "device_type"
    mtype: "<type \'property\'>"
  }
  member {
    name: "job"
    mtype: "<type \'property\'>"
  }
  member {
    name: "replica"
    mtype: "<type \'property\'>"
  }
  member {
    name: "task"
    mtype: "<type \'property\'>"
  }
  member_method {
    name: "__init__"
    argspec: "args=[\'self\', \'job\', \'replica\', \'task\', \'device_type\', \'device_index\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "from_string"
    argspec: "args=[\'cls\', \'spec\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "make_merged_spec"
    argspec: "args=[\'self\', \'dev\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "parse_from_string"
    argspec: "args=[\'self\', \'spec\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "replace"
    argspec: "args=[\'self\'], varargs=None, keywords=kwargs, defaults=None"
  }
  member_method {
    name: "to_string"
    argspec: "args=[\'self\'], varargs=None, keywords=None, defaults=None"
  }
}