Why the size after average pooling of Global Perceptron be (1, 1)

[Lloyd-Pottiger]

https://github.com/DingXiaoH/RepMLP/blob/main/repmlpnet.py#L49

def forward(self, inputs):
        x = F.adaptive_avg_pool2d(inputs, output_size=(1, 1))
        x = self.fc1(x)

according to the paper, it may should be (h, w)?