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You should run the start_tf.sh inside the k8s cluster. That means you need to use
kubectl exec -it some-pod bash
to go into the cluster and start the training process. some-pod
could be any pod that runs inside the cluster. For example you use the ps-worker pod.
If you want to train models using remote server, TensorFlow uses gRPC by default (and I don't think you can change that without significant code change).
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您好!
您已经开源了自己的v1.0版本的代码,我想问下,如果自己搭建起来了kubernetes集群后,将您的v1.0版本的代码整合到想有集群中,可行么?
谢谢🙏
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