What is the difference between tensorflow on spark with the default distributed tensorflow 1.0?

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I am trying to install tensorflow on spark onto the server, as I was told by my boss because he thought it would be easy to use. But I also learnt the default distributed tensorflow on the tensorflow website. Can any expert tell me the difference between these two choice of distribution? Will spark automatically assign the parameter server or workers?

Thanks in advance.

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