dear author， can you tell me what is your device ,what is you used time with the default config; about capsnet-tensorflow

[naturomics]

                      The following table is the approximate training time

num x GPU device	other configurations	speed(min/epoch)
1 x 1080ti	default	3
1 x K80	default	11

I also ran on a 750ti GPU, but that cards is gone and the record is lost, remember it's 8-10 min/epoch

[reaIws]

谢谢，我是两个显卡不知道会用到几个，但是速度是 6.5min/epoch :>

[naturomics]

You can check it with the command nvidia-smi to see how many GPU the program is using under Linux. For windows user, find it out in Task Manager(任务管理器). But by default it should use one GPU.

[naturomics]

BTW, which tesla GPU and CPU u'r using?

[reaIws]

ma computer has two tesla k80
cpu is E5-2630v4
it computer capability is 3.7
1080Ti's capability is 6.1
then:
when i run pyhon main.py
i get:
createing tensorflow device {/device:GPU:0}
createing tensorflow device {/device:GPU:1}

when i run nvidia-smi
it show:

GPU	PID	Type	GPU memory usage	volatile GPU-Util	Temp
0	4853	C	9367MiB	83%	59C
1	4853	C	62MiB	0%	35C

[jackalwoods]

So this code will only work on GPU and not on CPU?

[naturomics]

Both should work. Training for 30min on a 1080ti is enough to have a good result, but on CPU, it might take for hours. Prashant Desai <[email protected]> 于2019年2月27日周三 下午9:06写道：

…

So this code will only work on GPU and not on CPU? — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#53 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/ASh0sSYxX9EnJx2VBu7gFTrDfQcuKIZ_ks5vRoLEgaJpZM4RaOTC> .

[jackalwoods]

Thanks for reply. Not sure why but I am getting below error on my CPU. tensorflow.python.framework.errors_impl.NotFoundError: C:\Users\prashant.desai\AppData\Local\Continuum\Anaconda3\lib\site-packages\tensorflow\contrib\rnn\python\ops\_gru_ops.so not found Regards, Prashant

…

On Thu, Feb 28, 2019 at 11:51 AM Huadong Liao ***@***.***> wrote: Both should work. Training for 30min on a 1080ti is enough to have a good result, but on CPU, it might take for hours. Prashant Desai ***@***.***> 于2019年2月27日周三 下午9:06写道： > So this code will only work on GPU and not on CPU? > > — > You are receiving this because you commented. > Reply to this email directly, view it on GitHub > < #53 (comment) >, > or mute the thread > < https://github.com/notifications/unsubscribe-auth/ASh0sSYxX9EnJx2VBu7gFTrDfQcuKIZ_ks5vRoLEgaJpZM4RaOTC > > . > — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#53 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AEJXwDp9SOrM7C917WdaE71BYHD60bnHks5vR3V1gaJpZM4RaOTC> .

[naturomics]

@jackalwoods Looks like it's your tf env problem. please make sure your tf is installed correctly or a right version (the code was developed with tf 1.3, a newer one but older than 2.0 should work).

[jackalwoods]

Thanks, yes it was the problem with tf indeed. Got solved. I am trying to modify this for image similarity problem. Which layer should i pull before final layer to match with other image? appreciate any guidance on this.

…

On Sun, Mar 10, 2019 at 3:06 PM Huadong Liao ***@***.***> wrote: @jackalwoods <https://github.com/jackalwoods> Looks like it's your tf env problem. please make sure your tf is installed correctly or a right version (the code was developed with tf 1.3, a newer one but older than 2.0 should work). — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#53 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AEJXwBD49WDlssELRrbz1Pk85fQ4Gqx8ks5vVNIwgaJpZM4RaOTC> .

[jackalwoods]

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