Output size about pro_gan_pytorch

[akanimax]

Hey,
Changing the depth of the network produces higher resolution images. Note that you can only increase the sizes of the generated samples in powers of 2 (akin to mip-maps). And, you do need to retrain the network on this new higher resolution.

[minxdragon]

thank you!

[minxdragon]

hmm, whichever depth size I try I get AssertionError: batch_sizes are not compatible with depth.
do I need to change the Batch_sizes as well? I'm trying every power of 2 I can think of!

[akanimax]

Oh yeah, you do need to change all the progressive growing parameters to be compatible with the chosen depth. batch_sizes is indeed one of them. Afair, the other two should be epochs and fade-in_percentages. You don't need to change the values there, but just make sure that these list sizes are equal to the queried depth.

[dhawan98]

What would be a good combination of depths and batch_sizes?

[akanimax]

Also: #57
Please refer to the Progressive growing of GANs paper for the hyperparameters to be used with the specific datasets. Afair, CIFAR-10 is indeed one of the benchmarks.

Closing this issue for now.