How does the PaddlePaddle framework handle input and output data?

In the PaddlePaddle framework, network input data can be defined using the paddle.static.Input function, and network output data can be defined using the paddle.static.Output function. Both functions can be used during the network construction process to specify the network’s input and output data.

For example, here is a simple code snippet that demonstrates how to define network inputs and outputs using the PaddlePaddle framework.

import paddle

# 定义网络的输入数据
input_data = paddle.static.Input([None, 784], 'float32')

# 构建网络
hidden = paddle.static.nn.fc(input=input_data, size=200, activation='relu')
output = paddle.static.nn.fc(input=hidden, size=10, activation='softmax')

# 定义网络的输出数据
output_data = paddle.static.Output(output)

In the example above, we start by using the paddle.static.Input function to define an input data input_data, with a shape of [None, 784] and a data type of float32. We then define a hidden layer and an output layer through network construction, and finally use the paddle.static.Output function to define the network’s output data output_data.