一直在等待，一直会等待 TensorFlow常见API--5

tf.train.Saver

__init__(
    var_list=None,
    reshape=False,
    sharded=False,
    max_to_keep=5,
    keep_checkpoint_every_n_hours=10000.0,
    name=None,
    restore_sequentially=False,
    saver_def=None,
    builder=None,
    defer_build=False,
    allow_empty=False,
    write_version=tf.train.SaverDef.V2,
    pad_step_number=False,
    save_relative_paths=False,
    filename=None
)

        用以存储与恢复变量的构造器，包含了一些操作方法。
var_list： 用以说明被存储与恢复的变量。

save： 通过构造器的存储方法保存变量。It requires a session in which the graph was launched. 变量存储之前必须被初始化。

save(
    sess,
    save_path,
    global_step=None,
    latest_filename=None,
    meta_graph_suffix='meta',
    write_meta_graph=True,
    write_state=True,
    strip_default_attrs=False
)

sess: A Session to use to save the variables.
save_path: String. Prefix of filenames created for the checkpoint.
global_step: If provided the global step number is appended to save_path to create the checkpoint filenames. The optional argument can be a Tensor, a Tensor name or an integer.

restore：

restore(
    sess,
    save_path
)

        恢复之前存储的变量
sess: A Session to use to restore the parameters. None in eager mode.
save_path: Path where parameters were previously saved.