Fission: Tensorflow Serving Environment
This is the Tensorflow Serving environment for Fission.
It's a Docker image containing a Go runtime, along with a tensorflow serving service.
How it works
Tensorflow Serving is an serving service that supports both RESTful API and gRPC endpoints. In current implementation,
Go server launches tensorflow_model_server
to load in model during specialization. As long as the Go server receives
requests from router it creates a reverse proxy that connects to RESTful API endpoint exposed by tensorflow_model_server
and get response from the upstream server for user.
Build this image
docker build -t USER/tensorflow-serving . && docker push USER/tensorflow-serving
Using the image in fission
You can add this customized image to fission with "fission env create":
fission env create --name tensorflow --image USER/tensorflow-serving --version 2
After this, fission functions that have the env parameter set to the
same environment name as this command will use this environment.