Build Deep Learning Framework:Step2 Function

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import numpy as np

class Variable:
    def __init__(self, data):
        self.data = data

class Function:
    def __call__(self, input):
        x = input.data
        y = self.forward(x)
        output = Variable(y)
        return output

    def forward(self, in_data):
        raise NotImplementedError()

class Square(Function):
    def forward(self, x):
        return x ** 2

x = Variable(np.array(10))
f = Square()
y = f(x)
print(type(y))
print(y.data)

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$ python step02.py 
<class '__main__.Variable'>
100