path: "tensorflow.data.Iterator"
tf_class {
  is_instance: "<class \'tensorflow.python.data.ops.iterator_ops.Iterator\'>"
  is_instance: "<class \'tensorflow.python.training.checkpointable.base.CheckpointableBase\'>"
  is_instance: "<type \'object\'>"
  member {
    name: "initializer"
    mtype: "<type \'property\'>"
  }
  member {
    name: "output_classes"
    mtype: "<type \'property\'>"
  }
  member {
    name: "output_shapes"
    mtype: "<type \'property\'>"
  }
  member {
    name: "output_types"
    mtype: "<type \'property\'>"
  }
  member_method {
    name: "__init__"
    argspec: "args=[\'self\', \'iterator_resource\', \'initializer\', \'output_types\', \'output_shapes\', \'output_classes\'], varargs=None, keywords=None, defaults=None"
  }
  member_method {
    name: "from_string_handle"
    argspec: "args=[\'string_handle\', \'output_types\', \'output_shapes\', \'output_classes\'], varargs=None, keywords=None, defaults=[\'None\', \'None\'], "
  }
  member_method {
    name: "from_structure"
    argspec: "args=[\'output_types\', \'output_shapes\', \'shared_name\', \'output_classes\'], varargs=None, keywords=None, defaults=[\'None\', \'None\', \'None\'], "
  }
  member_method {
    name: "get_next"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "make_initializer"
    argspec: "args=[\'self\', \'dataset\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
  member_method {
    name: "string_handle"
    argspec: "args=[\'self\', \'name\'], varargs=None, keywords=None, defaults=[\'None\'], "
  }
}