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Excuse me, line 216 in xmc_net.py, "x = dense_fn(self.gf_dim * 16 * 4 * 4)(z)", which input the noise "z" into the linear layer. However, Table 7 in supp shows that the input is the concatenation of noise and reshaped condition. I wonder which one is right.
The text was updated successfully, but these errors were encountered:
Thanks for catching this. In this case, the code is correct - the input to the linear layer is just z. However, I believe there won't be a significant effect on results either way.
Excuse me, line 216 in xmc_net.py, "x = dense_fn(self.gf_dim * 16 * 4 * 4)(z)", which input the noise "z" into the linear layer. However, Table 7 in supp shows that the input is the concatenation of noise and reshaped condition. I wonder which one is right.
The text was updated successfully, but these errors were encountered: