[0609 15:27:39 @base.py:252] Epoch 14 (global_step 10934) finished, time:59.7 seconds.

[meidachen]

I'm running with dual 1080Ti and get 1 min for each epoch, using same parameters you used. Is this a reasonable running time?

And how should I use my own data for training and testing?

Thank you in advance!!!

[Sirius083]

I have the same gpu on windows and run for densenet(L=40, k=12), the total training time is 5h10minutes.
(without imgaug.MapImage(lambda x: x - pp_mean) and PrefetchData)
But other denseNet implementation cannot get the same accuracy as the original paper reported.

[Sirius083]

I have the same question one this issue. Since resnet-32 on cifar10 takes 1/3 of training time compared with densenet. Do you know the problem? thanks in advance.