Closed Sirius083 closed 5 years ago
I think I know what is happening... This bug is related to certain CUDA and CUDNN version. Can you share your version?
thanks for your reply, my cuda version: 9.0 cudnn version: 7.0
I changed the model setting to depth_40_k_24 on cifar10, then the results (min-validation error is 0.566) is almost same as presented in the paper :blush:
Happy to see you solve the problem. I will fix the typo and prepare an updated version.
the tensorflow implementation on SparseNet depth=40 growth_rate=12 (no bottleneck) on cifar10 best validation error is 7.31% while the paper reported error is 5.47% what reason could probably cause the difference? (change nothing excepth for the training log directory) tensorflow version 1.12 tensorpack version 0.9.1 python version 3.6.6
Looking forward to your reply