Something seems wrong

[BaochangZhang]

In your model:
the Generator_B is defined as :
self.netG_B = networks.define_G(opt.output_nc, opt.input_nc, opt.ngf, opt.netG, opt.norm,
not opt.no_dropout, opt.init_type, opt.init_gain, self.gpu_ids,thres=True).
so the output range of self.netG_B should be [0, 1].
I find that self.real_A, self.real_C, self.real_B have been normalized to [-1, 1].
In the forward part:
self.fake_B = self.netG_A(self.real_A)(self.real_A+1)+(1-self.real_A)(self.real_C+1)/2-1 # G_A(A) tanh(-1,1)#self.real_Aself.real_C
self.rec_A = self.netG_B(self.fake_B) # G_B(G_A(A)) -->[0, 1]
self.fake_A = self.netG_B(self.real_B) # G_B(B)-->[0, 1]
_**self.rec_B = self.netG_A(self.fake_A)(self.fake_A+1)+(1-self.fake_A)*(self.real_B+1)/2-1 # G_A(G_B(B))#self.real_B*_
the last line seems wrong, the value range of self.real_A, and self.fake_A are different.
I can not understand. looking forward your reply.

[Sam291998]

@BaochangZhang Hello sir, did you get any updates regarding this issue?