serialize_program¶

paddle.static. serialize_program ( feed_vars, fetch_vars, **kwargs ) [源代码] ¶

根据指定的 feed_vars 和 fetch_vars，序列化 program。

参数¶

feed_vars (Variable | list[Variable]) – 模型的输入变量。

fetch_vars (Variable | list[Variable]) – 模型的输出变量。

kwargs - 支持的 key 包括 program。(注意：kwargs 主要是用来做反向兼容的)。

program - 指定想要序列化的 program，默认使用 default_main_program。

返回¶

字节数组。

代码示例¶

          >>> import paddle
>>> paddle.enable_static()

>>> path_prefix = "./infer_model"

# User defined network, here a softmax regression example
>>> image = paddle.static.data(name='img', shape=[None, 28, 28], dtype='float32')
>>> label = paddle.static.data(name='label', shape=[None, 1], dtype='int64')
>>> predict = paddle.static.nn.fc(image, 10, activation='softmax')

>>> loss = paddle.nn.functional.cross_entropy(predict, label)

>>> exe = paddle.static.Executor(paddle.CPUPlace())
>>> exe.run(paddle.static.default_startup_program())

# serialize the default main program to bytes.
>>> serialized_program = paddle.static.serialize_program([image], [predict])

# deserialize bytes to program
>>> deserialized_program = paddle.static.deserialize_program(serialized_program)

         