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I have been going through the Pytorch examples and I swa that we can specify the number of nodes in the Trainer to enable multi node training. However, I do not see any discussion on how to specify the hosts of the multi nodes.
Moreover, our ML Platform is entirely on Kubernetes. We do not have fixed host ids. How can we launch a Distributed Pytorch lightning job over a set of Kubernetes pods.
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I have been going through the Pytorch examples and I swa that we can specify the number of nodes in the Trainer to enable multi node training. However, I do not see any discussion on how to specify the hosts of the multi nodes.
Moreover, our ML Platform is entirely on Kubernetes. We do not have fixed host ids. How can we launch a Distributed Pytorch lightning job over a set of Kubernetes pods.
Is there a guideline for that?
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