update sample deployment manifest to compatible with k8s 1.16 (#5)

Author: walkley

README.md

@@ -45,12 +45,15 @@ $ kubectl create -f https://raw.githubusercontent.com/awslabs/aws-virtual-gpu-de
 Virtual NVIDIA GPUs can now be consumed via container level resource requirements using the resource name `k8s.amazonaws.com/vgpu`:
 
 ```yaml
-apiVersion: extensions/v1beta1
+apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: resnet-deployment
 spec:
   replicas: 3
+  selector:
+    matchLabels:
+      app: resnet-server
   template:
     metadata:
       labels:

examples/README.md

@@ -23,7 +23,7 @@ Enter python client pod we created.
 ```shell
 $ kubectl exec -it python-client bash
 
-$ apt update && apt install -y vim
+$ apt update && apt install -y vim && pip install requests
 ```
 
 Prepare model client, copy the scripts from [resnet_client.py](./resnet_client.py)
@@ -37,4 +37,4 @@ Invoke model prediction, the first call will take some time to warm up, reset of
 ```shell
 $ python client.py
 Prediction class: 286, avg latency: 26.615 ms
-```
+```

examples/resnet.yaml

@@ -1,9 +1,12 @@
-apiVersion: extensions/v1beta1
+apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: resnet-deployment
 spec:
   replicas: 3
+  selector:
+    matchLabels:
+      app: resnet-server
   template:
     metadata:
       labels: