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Training ImageNet with 2 GPUs #630

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caffecuda opened this issue Jul 6, 2014 · 5 comments
Closed

Training ImageNet with 2 GPUs #630

caffecuda opened this issue Jul 6, 2014 · 5 comments

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@caffecuda
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Hello,
I have two identical GPUs in my machine but when training ImageNet it seems only one of them is used, is this normal? If not how should I change the configurations to use both GPUs? Does using one or two GPU(s) produce identical/similar nets? Thanks!

@anguyen8
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anguyen8 commented Jul 6, 2014

I seem to be having the same issue.. only 1 GPU is used while 2 are available. I greatly appreciate some advice on how to configure caffe to use 2 GPUs.

@sguada
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sguada commented Jul 6, 2014

Currently Caffe uses one GPU at the time, but we working in MultiGPU
training.

On Sunday, July 6, 2014, Anh Nguyen notifications@github.com wrote:

I seem to be having the same issue.. only 1 GPU is used while 2 are
available. I greatly appreciate some advice on how to configure caffe to
use 2 GPUs.


Reply to this email directly or view it on GitHub
#630 (comment).

Sergio

@kloudkl
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kloudkl commented Jul 7, 2014

NVBLAS may provide the convenience.
#547 (comment)

@anguyen8
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anguyen8 commented Jul 7, 2014

@sguada : Thank you for your confirmation.
@kloudkl 👍 Oh nice. Thanks for the pointer, I will definitely give it a try in a near future.

@shelhamer
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Duplicate of #653.

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