[GitHub] thbupt opened a new issue #12582: In dcgan.py, the parameters of netD are updated as training G?

[GitBox <gi...@apache.org>]

thbupt opened a new issue #12582: In dcgan.py, the parameters of netD are updated as training G?
URL: https://github.com/apache/incubator-mxnet/issues/12582
 
 
   In dcgan.py, the code for updating G is as followings.
   print(netD(fake))
           with autograd.record():
               output = netD(fake)
               output = output.reshape((-1, 2))
               errG = loss(output, real_label)
               errG.backward()
           trainerG.step(opt.batch_size)
           print(netD(fake))
   I print the output of netD before and after updating G, I found they have different outputs, which means the netD was also updated? In my opinion, only the parameters of G should be updated as excuting trainerG.step(). So what's problem?

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