This architecture gives you a lot of flexibility. One client can connect to multiple servers by opening multiple sessions in different threads. One server can handle multiple sessions simultaneously from one or more clients. You can run one client per task (typically within the same process), or just one client to control all tasks. All options are open.
- 12. Distributing TensorFlow Across Devices and Servers
- from Hands-On Machine Learning with Scikit-Learn and TensorFlow
- Publisher: O'Reilly Media, Inc.
- Released: March 2017
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