tf-fibonacci

This is a simple example of computing Fibonacci numbers in TensorFlow, exporting the computation graph as a TensorFlow SavedModel and finally serve the resulting SavedModel using TensorFlow-Serving using Docker.

Serving the model using TF serving and docker

Run or follow the steps in serve_model.sh to deploy the model on your localhost.

You can then send http requests to make predictions as follows

curl -X POST \
  -H "Content-type: application/json" \
  -H "Accept: application/json" \
  -d '{"instances": [0, 25, 5, 10, 50]}' \
  "http://localhost:8501/v1/models/fibonacci:predict"

>>{
    "predictions": [0, 75025, 5, 55, 12586269025]
}

Alternatively, send gRPC requests to port 8500.