TensorFlow Model Deployment

 


Pre-requisites:

Save TF Model

tf_model.save('saved_model/my-model')

Create Dockerfile

By default TensorFlow serving looks at /models/model/<integer> directory for saved models.  Lets copy our saved model:

FROM tensorflow/serving

RUN mkdir -p /models/model/1

COPY ./saved_model/my-model/ /models/model/1/

EXPOSE 8501

Build & Run Docker Container

docker build -t my-model .

docker container run --name my-model -p 8080:8501 -it my-model


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