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，默认是 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 regession 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)