Confilict in VQGAN code book loss

[yhao-z]

In the code, β times zq-z.detach(),

CodeFormer/basicsr/archs/vqgan_arch.py

Line 55 in e878192

loss = torch.mean((z_q.detach()-z)**2) + self.beta * torch.mean((z_q - z.detach()) ** 2)

but i think it should times the commitment loss zq.detach()-z to control the learning of Encoder, referred to the CoderFormer and VQVAE papers.
Although the VQVAE paper pointed that

the results did not vary for values of β ranging from 0.1 to 2.0

β (in the code) is placed in the wrong place and set to be 0.25, leading to the weight of the commitment loss, the real β, being 4.0.

Is there a slight possibility that it will affect the performance of VQVAE?