Comments (5)
I use iter_size = 8 in the solver, in order to simulate the 8gpu training described in paper. Thus the time should be 1.5s/iter in your case. Maybe that is a reasonable time for K80 because I didn't have such GPU to test.
If you are interested, you may set a timer to see which part cause the slow speed. (e.g. preparing data in CPU or the network forward)
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We didn't test the speed of Alexnet. But you may reach ~160ms/frame on a TitanX card if you use ZF net.
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Do you have network arch, test.prototxt and pre-trained model of ZF net
available so that I can try it?
Thanks
On Mon, Jul 11, 2016 at 1:50 AM, Haozhi Qi [email protected] wrote:
We didn't test the speed of Alexnet. But you may reach ~160ms/frame on a
TitanX card if you use ZF net.—
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@oh233 hi~ i am train on my own data. about 12s/iter on K80, is it something wrong happend?
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@oh233 thank you ! i set a timer in mnc_data_layer to see which part to slow speed but in show that get_next_minibatch did not take too long. i wonder if i can see excute time in every layer? my data only has too much mask which different from yours.
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