Closed l1346792580123 closed 4 years ago
Thanks for reporting this as it is potentially a bug where the pretrained group norm variables are not properly loaded at test but just re-initialized (printing out gammas under scope generator_1 will yield constant 1's which are their default init values). I'm working on a fix. But for your question: the params under the scope "generator" are the pretrained ones.
Thank you very much
Hi, the bug is fixed now. Also, the previous checkpoint file has some problems and cause the generated clothing shape being strange. A new one is updated here, feel free to download. Thanks.
when I list the pretrained model using tf.train.list_variables, I get results as follows. You can see there are two different group norm weights used by same decoder_resblock such as generator_1/decoder/decoder_resblock_cmr1/group_norm/beta and generator/decoder/decoder_resblock_cmr1/group_norm/beta. I want to transfer the pretrained model from tensorflow to pytorch, so I am not sure which I should transfer to.
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