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Pip package for tensorflow serving does not support GPU #668
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That's interesting, so 'tensorflow-gpu' overwrites the 'tensorflow' PIP package? |
@dakshvar22 as far as I know the open source of tensorflow serving does not compile with GPU support, there are issues. |
@dakshvar22 Even I am facing the same issue. Still didn't find any to use serving pip installable with GPU. Any updates on this? |
@ps48 the tensorflow serving pip package doesn't support GPU because before it couldn't be compiled easily with GPU support before. I think recent versions can be compile with GPU support with the command you saw if the issue #549, but the package hasn't been compiled with this options yet. So either you use a package without GPU or you compile it yourself. It is not related with apt-get. |
@jorgemf thanks for the pormpt reply. As far as i see this means serving-api as well as tensorflow-model-server have GPU support and just need to be compiled locally. Please correct me if I'm wrong. |
@ps48 The serving-api doesn't need GPU support as it is only to make requests to the server. Tensorflow-model-server does need to be compiled with GPU support as the other issue said. This might help: https://gist.github.com/jorgemf/c791841f769bff96718fd54bbdecfd4e |
i installed tensorflow serving pip package which comes with tensorflow 1.4 as a dependency. But it seems like the tensorflow package inside does not support GPU. Is there an alternative pip package?
I even installed tensorflow(GPU version) separately and then installed tensorflow serving pip package, but that seems to overwrite the GPU version. Any way by which I can stop tensorflow serving pip package from reinstalling tensorflow?
Thanks
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