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Remote worker configuration #12

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@kmatzen

Does this release support remote workers out of the box? I couldn't find details in the tutorials, but the whitepaper and tensorflow/core/common_runtime/device.h talked about adding remote devices through RPC. Is a parameter server or alternative already implemented in here somewhere? If remote workers are supported out of the box, what is the execution model? Is there a daemon or do you have to configure a session in a certain way to act as one?

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  1. ebrevdo commented on Nov 9, 2015

    @ebrevdo
    Contributor

    This release does not support distributed computation.

  2. vrv commented on Nov 9, 2015

    @vrv

    Hi kmatzen: As mentioned in our FAQ, this release does not have an RPC and distributed implementation available yet: http://tensorflow.org/resources/faq.md#running_a_tensorflow_computation, but we are working on it and hope to make it available when it's ready.

    As a short-term proxy, you can see the Cifar tutorial for an example of how training and distributing among multiple GPUs works -- http://tensorflow.org/tutorials/deep_cnn/index.md

  3. vrv commented on Nov 9, 2015

    @vrv

    (De-duping with #23)

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