How do I use distributed DNN training in TensorFlow?
Update
As you may have noticed. Tensorflow has already supported distributed DNN training for quite some time. Please refer to its offcial website for details.
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No, it doesn't support distribute training yet, which is a little disappointing. But I don't think it is difficult to extend from single machine to multi-machine. Compared to other open source libraries, like Caffe, TF's data graph structure is more suitable for cross-machine tasks.
Google released TensorFlow today.
I have been poking around in the code, and I don't see anything in the code or API about training across a cluster of GPU servers.
Does it have distributed training functionality yet?