deserialize_persistables¶

paddle.static. deserialize_persistables ( program, data, executor ) [源代码] ¶

根据指定的 program 和 executor，反序列化模型参数。

参数¶

program (Program) - 指定包含要反序列化的参数的名称的 program。

data (bytes) - 序列化之后的模型参数。

executor (Executor) - 用来执行 load op 的 executor 。

返回¶

Program：包含反序列化后的参数的 program。

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 parameters to bytes.
>>> serialized_params = paddle.static.serialize_persistables([image], [predict], exe)

# deserialize bytes to parameters.
>>> main_program = paddle.static.default_main_program()
>>> deserialized_params = paddle.static.deserialize_persistables(main_program, serialized_params, exe)

         