AttnGAN
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Question about the Code
In the /code/model.py, the c_code
is passed to the class NEXT_STAGE_G
as a parameter. However, the c_code
is covered by the function c_code, att = self.att(h_code, word_embs)
so that the parameter here is redundant. I'm not sure whether the c_code
in the definition is necessary or just misused in c_code, att = self.att(h_code, word_embs)
.
Thanks~
def forward(self, h_code, c_code, word_embs, mask): """ h_code1(query): batch x idf x ih x iw (queryL=ihxiw) word_embs(context): batch x cdf x sourceL (sourceL=seq_len) c_code1: batch x idf x queryL att1: batch x sourceL x queryL """ self.att.applyMask(mask) c_code, att = self.att(h_code, word_embs) h_c_code = torch.cat((h_code, c_code), 1) out_code = self.residual(h_c_code) # state size ngf/2 x 2in_size x 2in_size out_code = self.upsample(out_code) return out_code, att
Oh, I take a closer look at the network architecture in the paper and think that the c_code
in the defination should be unnecessary. The definition should be def forward(self, h_code, word_embs, mask):
. Right?