A few questions about your idea

[YSL0226]

Thank you for your great work.
After I read description in ReamMe and codes, I got confuse.

updae: Sorry, I get mistake in the pervious post. The 32 in convs.15 's weight ([1, 32, 32, 3, 3]) is channel.
So you train large feature map resolution of generator, right?

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Did you freeze generator layers in 1616, 3232 resolution, etc.?
At first I thought you freeze large feature map resolution weights. However, from the code requires_grad(generator, True, target_layer=f'convs.{generator.num_layers-2-2*loc}'), your turn on grade in convs.15.
convs.15 's weight is [1, 32, 32, 3, 3]. It means you train low feature map resolution weight in generator?
(You didn't train in large feature map resolution, such as, 256, 512).
Is it correct?

[bryandlee]

Hi, that's correct. The weights for large feature maps are trained.