Confilict in VQGAN code book loss

In the code, β times `zq-z.detach()`, https://github.com/sczhou/CodeFormer/blob/e878192ee253cfcc8f19e29d3307c181501f53ae/basicsr/archs/vqgan_arch.py#L55 but i think it should times the commitment loss `z.detach()-zq` 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?