normalize_program

paddle.static. normalize_program ( program, feed_vars, fetch_vars ) [源代码]

根据指定的 feed_vars 和 fetch_vars，优化 program。

参数

  • program - 指定想要优化的 program。

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

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

返回

优化之后的 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())

# normalize main program.
>>> program = paddle.static.default_main_program()
>>> normalized_program = paddle.static.normalize_program(program, [image], [predict])