TrainingJob Operator README

Trainingjob operator is designed for EDL (elastic deep learning) and supports multiple frameworks. It supports automatic fault tolerance and flexible pod completion and termination strategies, and has been tested in paddlepadle, tensorflow, and python frameworks.

Getting started

Deploy trainingjob-operator

Trainingjob-operator can be deployed by compiling and executive

git clone https://github.com/elasticdeeplearning/trainingjob-operator.git
cd trainingjob-operator/cmd 
go build -o trainingjob-operator
./trainingjob-operator --master ${master_ip}:${port} --v 4 --thread-num 1000 --logtostderr --leader-elect=true --enable-creating-failed=true

Run an example trainingjob

Submit the trainingjob

kubectl apply -f https://raw.githubusercontent.com/elasticdeeplearning/trainingjob-operator/master/example/paddle-mnist.yaml

Monitor the status of the trainingjob

kubectl get aitj
kubectl describe aitj paddle-mnist

Delete the trainingjob

kubectl delete -f https://raw.githubusercontent.com/elasticdeeplearning/trainingjob-operator/master/example/paddle-mnist.yaml