canot run about fast_tffm HOT 7 CLOSED

Hi @tashanzhishi

try this patch:
1.txt

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my env is that
redhot 6.5 (linux core verison is 2.6.32)
python 2.7.12
gcc 5.3.0
i run tensorflow 0.9 without GPU

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@snnn Thanks a lot for your help!

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@snnn thank you very much. I reslove the problem by your idea.

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@kopopt you have train 36672494 training examples in 157 seconds in local model. is the dataset's size is 1TB?
if i want to make the training process run longer time(i have optimize the tensorflow's communication model, and i want to contrast with original), how can i modify the parameter?

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@tashanzhishi
I use the criteo dataset. 36672494 training examples is only about 7.7 GB

Actually I did not quite get your request about running longer time. The speed is obtained by using 10 threads. If you use one training thread, the speed will become quite slow.

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@kopopt thank your response, and i am downloading the dataset.

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