深度纸质学习与实验（四）-将TensorFlow加入kubernetes完成与minist数据集初试

总结一下今天的学习过程

上午将TensorFlow加入kubernetes中，参考链接：http://www.cnblogs.com/xuxinkun/p/5983633.html

registryHostname=cloud2

connect
#搜索TensorFlow
docker search tensorflow
#注意变量声明赋值不能有空格
nic=`docker search tensorflow | awk '{print $2}' | sed -n '2p;2q'`
docker pull $nic
docker stop registry
docker rm registry

docker run -d -p 5000:5000 --restart=always --name registry registry:2
docker tag $nic tensorflow:latest
docker push tensorflow
rm -rf /root/tensorflowyaml
mkdir -p /root/tensorflowyaml
cat > ps.yaml <<EOF
piVersion: v1
kind: ReplicationController
metadata:
name: tensorflow-ps-rc
spec:
replicas: 2
selector:
name: tensorflow-ps
template:
metadata:
labels:
name: tensorflow-ps
role: ps
spec:
containers:
- name: ps
image: $registryHostname:5000/tensorflow
ports:
- containerPort: 2222
EOF

cat > ps-srv.yaml <<EOF
piVersion: v1
kind: Service
metadata:
labels:
name: tensorflow-ps
role: service
name: tensorflow-ps-service
spec:
ports:
- port: 2222
targetPort: 2222
selector:
name: tensorflow-ps
EOF

cat > worker.yaml <<EOF
apiVersion: v1
kind: ReplicationController
metadata:
name: tensorflow-worker-rc
spec:
replicas: 2
selector:
name: tensorflow-worker
template:
metadata:
labels:
name: tensorflow-worker
role: worker
spec:
containers:
- name: worker
image: $registryHostname:5000/tensorflow
ports:
- containerPort: 2222
EOF

cat > cat worker-srv.yaml <<EOF
apiVersion: v1
kind: Service
metadata:
labels:
name: tensorflow-worker
role: service
name: tensorflow-wk-service
spec:
ports:
- port: 2222
targetPort: 2222
selector:
name: tensorflow-worker
EOF
for ss in `ll /root/tensorflowyaml | awk '{print $9}'`;
do
echo $ss;
kubectl delete -f $ss
done
kubectl create -f ps.yaml
kubectl create -f ps-srv.yaml
kubectl create -f worker.yaml
kubectl create -f worker-srv.yaml
#查看service来查看对应的容器的ip
kubectl describe service tensorflow-ps-service
kubectl describe service tensorflow-wk-service

2，买一本TensorFlow实战Google深度学习框架，里面有项目链接
参考GitHub项目https://github.com/caicloud/tensorflow-tutorial/blob/master/Deep_Learning_with_TensorFlow/0.12.0/Chapter05/2.%20TensorFlow%E8%AE%AD%E7%BB%83%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/1.%20%E5%85%A8%E6%A8%A1%E5%9E%8B.ipynb

查看并下载了项目，阅读了代码，不过还没有尝试成功在kubernetes中运行

美好的一天，明天加油