I'm a newbie. I'm learning d2l [DCGAN](http://d2l.ai/chapter_generative-adversarial-networks/dcgan.html). And I try to translate to pytorch. Then I found it isn't same with tutorial in pytorch.org. Which one is right? My issue is here: [Maybe our DCGAN have extra nn.BatchNorm2d(ndf)?](https://github.com/d2l-ai/d2l-en/issues/1381) Still not finish my work: [PR](https://github.com/d2l-ai/d2l-en/pull/1309)
--- BTW, I found `.add` in mxnet is easy to use than `.add_module` in pytorch, which must name a new layer. But I have another problem: After we added a layer, it will exist next time? If then, how to delete or change a layer? Or, more often we just create a new structure? -- You are receiving this because you authored the thread. Reply to this email directly or view it on GitHub: https://github.com/apache/incubator-mxnet/issues/18931#issuecomment-676540034
