Installation

Pip

Install the server with pip.

pip install simple_tensorflow_serving

Source

Install from source code.

git clone https://github.com/tobegit3hub/simple_tensorflow_serving

cd ./simple_tensorflow_serving/

python ./setup.py install

Bazel

Install with bazel.

git clone https://github.com/tobegit3hub/simple_tensorflow_serving

cd ./simple_tensorflow_serving/

bazel build simple_tensorflow_serving:server

Docker

Deploy with docker image.

docker run -d -p 8500:8500 tobegit3hub/simple_tensorflow_serving

docker run -d -p 8500:8500 tobegit3hub/simple_tensorflow_serving:latest-gpu

docker run -d -p 8500:8500 tobegit3hub/simple_tensorflow_serving:latest-hdfs

docker run -d -p 8500:8500 tobegit3hub/simple_tensorflow_serving:latest-py34

Docker Compose

Deploy with docker-compose.

wget https://raw.githubusercontent.com/tobegit3hub/simple_tensorflow_serving/master/docker-compose.yml

docker-compose up -d

Kubernetes

Deploy in Kubernetes cluster.

wget https://raw.githubusercontent.com/tobegit3hub/simple_tensorflow_serving/master/simple_tensorflow_serving.yaml

kubectl create -f ./simple_tensorflow_serving.yaml