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import paddle
from paddle.jit import to_static
from paddle.nn import Layer
from paddle.static import InputSpec

class SimpleNet(Layer):
    def __init__(self, ):
        super(SimpleNet, self).__init__()
        self.linear = paddle.nn.Linear(10, 3)
        self.relu = paddle.nn.ReLU()

    def forward(self, x, use_act=False):
        out = self.linear(x)
        if use_act:
            out = self.relu(out)
        return out

net = SimpleNet()
# 方式一：save inference model with use_act=False
net = to_static(net, input_spec=[InputSpec(shape=[None, 10], name='x')])
paddle.jit.save(net, path='./simple_net')

# 方式二：save inference model with use_act=True
net = to_static(net, input_spec=[InputSpec(shape=[None, 10], name='x'), True])
paddle.jit.save(net, path='./simple_net')

The above code can work, thus shows that input_spec can be used to specify non-Tensor arguments in the forward method.

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