about the number of channels in the convolutional layer

[xxLinLucky]

Hello, this is a question about the number of channels in the convolutional layer

The paper described:
We use three-layer encoders with [64, 32, 16] channels, and three�layer decoders with [16, 32, 64] channels correspondingly.

But the code is:
def encoder1(self, x):
net = self.conv_block(x, 64)
net = self.conv_block(net, 64)
net = self.conv_block(net, 64)
return net

Did I misunderstand? Thank you

[Binyuan Hui]

This belongs to the hyper-parameter of the network, which can be adjusted according to different data, not a fixed value.