The just released TensorFlow v0.8.0 RC0 has supported distributed computing as announced here. Can we support distributed computing by this way of tensorflow? (instead of by Spark)
Yes, you can do that, by setting your own TF session via K.set_session(sess).
@fchollet any keras references for this TF distributed computing support? Can we setup keras cluster as TF like this below?
model.ClusterSpec({"local": ["10.0.0.1", "10.0.0.2"]})
model.fit(x, y)
An example on how to user K.set_session(sess) for this would be awesome. In particular, in the examples folder.
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Most helpful comment
Yes, you can do that, by setting your own TF session via
K.set_session(sess).