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serve-tf-demo's Introduction

RayServe + TensorFlow

How to run?

  1. Install ray 0.8.4:
pip install ray==0.8.4
  1. Start the ray cluster
ray start --head
  1. Run the training scrip to generate model file.
python 3_train_tf_model.py
  1. Run the deployment scripts to deploy to the running cluster.

Open two terminal, in one terminal:

python 1_init.py # deploys a hello world function, and queries available routes in while True loop

In the other terminal:

python 2_counter.py # deploys a counter
python 4_serve_tf_model.py # deploys a TF model
python 5_serve_tf_model_v2.py # deploys the second TF model sharing the same /mnist route

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