Update kserve manifests from v0.11.1

Update kserve/kserve manifests from v0.11.1

README.md

@@ -55,7 +55,7 @@ This repo periodically syncs all official Kubeflow components from their respect
 | Tensorboards Web App | apps/tensorboard/tensorboards-web-app/upstream | [v1.8.0-rc.2](https://github.com/kubeflow/kubeflow/tree/v1.8.0-rc.2/components/crud-web-apps/tensorboards/manifests) |
 | Volumes Web App | apps/volumes-web-app/upstream | [v1.8.0-rc.2](https://github.com/kubeflow/kubeflow/tree/v1.8.0-rc.2/components/crud-web-apps/volumes/manifests) |
 | Katib | apps/katib/upstream | [v0.16.0-rc.1](https://github.com/kubeflow/katib/tree/v0.16.0-rc.1/manifests/v1beta1) |
-| KServe | contrib/kserve/kserve | [v0.11.0](https://github.com/kserve/kserve/tree/v0.11.0/install/v0.11.0) |
+| KServe | contrib/kserve/kserve | [v0.11.1](https://github.com/kserve/kserve/tree/v0.11.1/install/v0.11.1) |
 | KServe Models Web App | contrib/kserve/models-web-app | [v0.10.0](https://github.com/kserve/models-web-app/tree/v0.10.0/config) |
 | Kubeflow Pipelines | apps/pipeline/upstream | [2.0.2](https://github.com/kubeflow/pipelines/tree/2.0.2/manifests/kustomize) |
 | Kubeflow Tekton Pipelines | apps/kfp-tekton/upstream | [2.0.1](https://github.com/kubeflow/kfp-tekton/tree/2.0.x/manifests/kustomize) |

contrib/kserve/kserve/kserve-runtimes.yaml

@@ -12,7 +12,7 @@ spec:
     - --model_dir=/mnt/models
     - --http_port=8080
     - --nthread=1
-    image: kserve/lgbserver:v0.11.0
+    image: kserve/lgbserver:v0.11.1
     name: kserve-container
     resources:
       limits:
@@ -23,9 +23,11 @@ spec:
         memory: 2Gi
   protocolVersions:
   - v1
+  - v2
   supportedModelFormats:
   - autoSelect: true
     name: lightgbm
+    priority: 1
     version: "3"
 ---
 apiVersion: serving.kserve.io/v1alpha1
@@ -60,15 +62,23 @@ spec:
   supportedModelFormats:
   - autoSelect: true
     name: sklearn
+    priority: 1
     version: "0"
+  - autoSelect: true
+    name: sklearn
+    priority: 2
+    version: "1"
   - autoSelect: true
     name: xgboost
+    priority: 2
     version: "1"
   - autoSelect: true
     name: lightgbm
+    priority: 2
     version: "3"
   - autoSelect: true
     name: mlflow
+    priority: 1
     version: "1"
 ---
 apiVersion: serving.kserve.io/v1alpha1
@@ -84,7 +94,7 @@ spec:
     - --model_name={{.Name}}
     - --model_dir=/mnt/models
     - --http_port=8080
-    image: kserve/paddleserver:v0.11.0
+    image: kserve/paddleserver:v0.11.1
     name: kserve-container
     resources:
       limits:
@@ -95,9 +105,11 @@ spec:
         memory: 2Gi
   protocolVersions:
   - v1
+  - v2
   supportedModelFormats:
   - autoSelect: true
     name: paddle
+    priority: 1
     version: "2"
 ---
 apiVersion: serving.kserve.io/v1alpha1
@@ -113,7 +125,7 @@ spec:
     - --model_name={{.Name}}
     - --model_dir=/mnt/models
     - --http_port=8080
-    image: kserve/pmmlserver:v0.11.0
+    image: kserve/pmmlserver:v0.11.1
     name: kserve-container
     resources:
       limits:
@@ -124,12 +136,15 @@ spec:
         memory: 2Gi
   protocolVersions:
   - v1
+  - v2
   supportedModelFormats:
   - autoSelect: true
     name: pmml
+    priority: 1
     version: "3"
   - autoSelect: true
     name: pmml
+    priority: 1
     version: "4"
 ---
 apiVersion: serving.kserve.io/v1alpha1
@@ -145,7 +160,7 @@ spec:
     - --model_name={{.Name}}
     - --model_dir=/mnt/models
     - --http_port=8080
-    image: kserve/sklearnserver:v0.11.0
+    image: kserve/sklearnserver:v0.11.1
     name: kserve-container
     resources:
       limits:
@@ -156,9 +171,11 @@ spec:
         memory: 2Gi
   protocolVersions:
   - v1
+  - v2
   supportedModelFormats:
   - autoSelect: true
     name: sklearn
+    priority: 1
     version: "1"
 ---
 apiVersion: serving.kserve.io/v1alpha1
@@ -193,9 +210,11 @@ spec:
   supportedModelFormats:
   - autoSelect: true
     name: tensorflow
+    priority: 2
     version: "1"
   - autoSelect: true
     name: tensorflow
+    priority: 2
     version: "2"
 ---
 apiVersion: serving.kserve.io/v1alpha1
@@ -215,7 +234,7 @@ spec:
     env:
     - name: TS_SERVICE_ENVELOPE
       value: '{{.Labels.serviceEnvelope}}'
-    image: pytorch/torchserve-kfs:0.8.0
+    image: pytorch/torchserve-kfs:0.8.2
     name: kserve-container
     resources:
       limits:
@@ -231,6 +250,7 @@ spec:
   supportedModelFormats:
   - autoSelect: true
     name: pytorch
+    priority: 2
     version: "1"
 ---
 apiVersion: serving.kserve.io/v1alpha1
@@ -264,20 +284,25 @@ spec:
   supportedModelFormats:
   - autoSelect: true
     name: tensorrt
+    priority: 1
     version: "8"
   - autoSelect: true
     name: tensorflow
+    priority: 1
     version: "1"
   - autoSelect: true
     name: tensorflow
+    priority: 1
     version: "2"
   - autoSelect: true
     name: onnx
+    priority: 1
     version: "1"
   - name: pytorch
     version: "1"
   - autoSelect: true
     name: triton
+    priority: 1
     version: "2"
 ---
 apiVersion: serving.kserve.io/v1alpha1
@@ -294,7 +319,7 @@ spec:
     - --model_dir=/mnt/models
     - --http_port=8080
     - --nthread=1
-    image: kserve/xgbserver:v0.11.0
+    image: kserve/xgbserver:v0.11.1
     name: kserve-container
     resources:
       limits:
@@ -305,7 +330,9 @@ spec:
         memory: 2Gi
   protocolVersions:
   - v1
+  - v2
   supportedModelFormats:
   - autoSelect: true
     name: xgboost
+    priority: 1
     version: "1"