After running 300K on TPU, we didn't achieve satisfactory results.

[AaronAnima]

We run **'launch_train_tpu_sagan.sh' on V3 pod for 300k steps, but it seems to collapse from 10k. And the generation quality is not good, i wonder wether you've managed to achieve or at least close to biggan's performance? Here're some results: After 100k After 180k After 300k

[zsdonghao]

I got the same problem, it seems this code is not useful ..

[AaronAnima]

I didn't use 'comet' module, and keep 'launch_train_tpu_sagan.sh' almost the same( just do some small changes regarding to my local environment, those important configs such as bs, lr... remain the same)

[davidhughhenrymack]

Hi all,

The code didn’t get finished, hence you’re not seeing good results. Feel free to submit PRs to improve it :)

On October 15, 2019 at 8:35:13 PM, Mingdong Wu (notifications@github.com) wrote:

I didn't use 'comet' module, and keep 'launch_train_tpu_sagan.sh' almost the same( just do some small changes regarding to my local environment, those important configs such as bs, lr... remain the same)

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[gwern]

We also can report failure; after swapping the initialization to tf.orthogonal_initializer(1.0) to make it more BigGAN-like, a 6h run on a TPU pod (~12k/s or >4.3m total) produced only blobs like attached:

[zsdonghao]

this project just does not work

[gwern]

Well, we know that now. Unfortunately, the README doesn't mention that at all (a minor omission, to be sure).