volatile GPU-Util 0%

[somuchsentimentality]

Hi dyelax,

I really appreciate for your work.
I tried to modified your code to Wgan and trained on AWS. But it seems like training pretty slow, it only trained 4000 iterations a day. Also it has high GPU Memory-Usage but zero volatile cpu-util. Do you have any idea why does this happening?

(tensorflow) ubuntu@ip-172-31-8-95:~$ nvidia-smi
Sun Apr 23 19:53:29 2017
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 375.51 Driver Version: 375.51 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 Tesla K80 Off | 0000:00:1E.0 Off | 0 |
| N/A 40C P0 71W / 149W | 10941MiB / 11439MiB | 0% Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 20379 C python 10937MiB |
+-----------------------------------------------------------------------------+

Thank you!

[dyelax]

Sorry for the delay on this. Are you getting the same results if you try running this code without your WGAN edits?