Publish v0.9.0 release (kserve#2343)

Signed-off-by: Dan Sun <[email protected]>
rachitchauhan43 · Jul 21, 2022 · 6e9bd24 · 6e9bd24
1 parent 8bc67d7
commit 6e9bd24
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diff --git a/charts/kserve/Chart.yaml b/charts/kserve/Chart.yaml
@@ -1,6 +1,6 @@
 apiVersion: v1
 name: kserve 
-version: v0.9.0-rc0
+version: v0.9.0
 description: Helm chart for deploying kserve resources and CRDs
 keywords:
   - kserve

diff --git a/charts/kserve/values.yaml b/charts/kserve/values.yaml
@@ -1,6 +1,6 @@
 kserve:
-  version: &defaultVersion v0.9.0-rc0
-  modelmeshVersion: &defaultModelMeshVersion v0.9.0-rc0
+  version: &defaultVersion v0.9.0
+  modelmeshVersion: &defaultModelMeshVersion v0.9.0
   agent:
     image: kserve/agent
     tag: *defaultVersion

diff --git a/hack/generate-install.sh b/hack/generate-install.sh
@@ -39,6 +39,7 @@ RELEASES=(
     "v0.8.0-rc0"
     "v0.8.0"
     "v0.9.0-rc0"
+    "v0.9.0"
 )
 
 TAG=$1

diff --git a/install/v0.9.0/kserve-runtimes.yaml b/install/v0.9.0/kserve-runtimes.yaml
@@ -0,0 +1,284 @@
+apiVersion: serving.kserve.io/v1alpha1
+kind: ClusterServingRuntime
+metadata:
+  name: kserve-lgbserver
+spec:
+  containers:
+  - args:
+    - --model_name={{.Name}}
+    - --model_dir=/mnt/models
+    - --http_port=8080
+    - --nthread=1
+    image: kserve/lgbserver:v0.9.0
+    name: kserve-container
+    resources:
+      limits:
+        cpu: "1"
+        memory: 2Gi
+      requests:
+        cpu: "1"
+        memory: 2Gi
+  protocolVersions:
+  - v1
+  supportedModelFormats:
+  - autoSelect: true
+    name: lightgbm
+    version: "2"
+---
+apiVersion: serving.kserve.io/v1alpha1
+kind: ClusterServingRuntime
+metadata:
+  name: kserve-mlserver
+spec:
+  containers:
+  - env:
+    - name: MLSERVER_MODEL_IMPLEMENTATION
+      value: '{{.Labels.modelClass}}'
+    - name: MLSERVER_HTTP_PORT
+      value: "8080"
+    - name: MLSERVER_GRPC_PORT
+      value: "9000"
+    - name: MODELS_DIR
+      value: /mnt/models
+    image: docker.io/seldonio/mlserver:1.0.0
+    name: kserve-container
+    resources:
+      limits:
+        cpu: "1"
+        memory: 2Gi
+      requests:
+        cpu: "1"
+        memory: 2Gi
+  protocolVersions:
+  - v2
+  supportedModelFormats:
+  - autoSelect: true
+    name: sklearn
+    version: "0"
+  - autoSelect: true
+    name: xgboost
+    version: "1"
+  - autoSelect: true
+    name: lightgbm
+    version: "3"
+  - autoSelect: true
+    name: mlflow
+    version: "1"
+---
+apiVersion: serving.kserve.io/v1alpha1
+kind: ClusterServingRuntime
+metadata:
+  name: kserve-paddleserver
+spec:
+  containers:
+  - args:
+    - --model_name={{.Name}}
+    - --model_dir=/mnt/models
+    - --http_port=8080
+    image: kserve/paddleserver:v0.9.0
+    name: kserve-container
+    resources:
+      limits:
+        cpu: "1"
+        memory: 2Gi
+      requests:
+        cpu: "1"
+        memory: 2Gi
+  protocolVersions:
+  - v1
+  supportedModelFormats:
+  - autoSelect: true
+    name: paddle
+    version: "2"
+---
+apiVersion: serving.kserve.io/v1alpha1
+kind: ClusterServingRuntime
+metadata:
+  name: kserve-pmmlserver
+spec:
+  containers:
+  - args:
+    - --model_name={{.Name}}
+    - --model_dir=/mnt/models
+    - --http_port=8080
+    image: kserve/pmmlserver:v0.9.0
+    name: kserve-container
+    resources:
+      limits:
+        cpu: "1"
+        memory: 2Gi
+      requests:
+        cpu: "1"
+        memory: 2Gi
+  protocolVersions:
+  - v1
+  supportedModelFormats:
+  - autoSelect: true
+    name: pmml
+    version: "3"
+  - autoSelect: true
+    name: pmml
+    version: "4"
+---
+apiVersion: serving.kserve.io/v1alpha1
+kind: ClusterServingRuntime
+metadata:
+  name: kserve-sklearnserver
+spec:
+  containers:
+  - args:
+    - --model_name={{.Name}}
+    - --model_dir=/mnt/models
+    - --http_port=8080
+    image: kserve/sklearnserver:v0.9.0
+    name: kserve-container
+    resources:
+      limits:
+        cpu: "1"
+        memory: 2Gi
+      requests:
+        cpu: "1"
+        memory: 2Gi
+  protocolVersions:
+  - v1
+  supportedModelFormats:
+  - autoSelect: true
+    name: sklearn
+    version: "1"
+---
+apiVersion: serving.kserve.io/v1alpha1
+kind: ClusterServingRuntime
+metadata:
+  name: kserve-tensorflow-serving
+spec:
+  containers:
+  - args:
+    - --model_name={{.Name}}
+    - --port=9000
+    - --rest_api_port=8080
+    - --model_base_path=/mnt/models
+    - --rest_api_timeout_in_ms=60000
+    command:
+    - /usr/bin/tensorflow_model_server
+    image: tensorflow/serving:2.6.2
+    name: kserve-container
+    resources:
+      limits:
+        cpu: "1"
+        memory: 2Gi
+      requests:
+        cpu: "1"
+        memory: 2Gi
+  protocolVersions:
+  - v1
+  - grpc-v1
+  supportedModelFormats:
+  - autoSelect: true
+    name: tensorflow
+    version: "1"
+  - autoSelect: true
+    name: tensorflow
+    version: "2"
+---
+apiVersion: serving.kserve.io/v1alpha1
+kind: ClusterServingRuntime
+metadata:
+  name: kserve-torchserve
+spec:
+  containers:
+  - args:
+    - torchserve
+    - --start
+    - --model-store=/mnt/models/model-store
+    - --ts-config=/mnt/models/config/config.properties
+    env:
+    - name: TS_SERVICE_ENVELOPE
+      value: '{{.Labels.serviceEnvelope}}'
+    image: pytorch/torchserve-kfs:0.6.0
+    name: kserve-container
+    resources:
+      limits:
+        cpu: "1"
+        memory: 2Gi
+      requests:
+        cpu: "1"
+        memory: 2Gi
+  protocolVersions:
+  - v1
+  - v2
+  - grpc-v1
+  supportedModelFormats:
+  - autoSelect: true
+    name: pytorch
+    version: "1"
+---
+apiVersion: serving.kserve.io/v1alpha1
+kind: ClusterServingRuntime
+metadata:
+  name: kserve-tritonserver
+spec:
+  containers:
+  - args:
+    - tritonserver
+    - --model-store=/mnt/models
+    - --grpc-port=9000
+    - --http-port=8080
+    - --allow-grpc=true
+    - --allow-http=true
+    image: nvcr.io/nvidia/tritonserver:21.09-py3
+    name: kserve-container
+    resources:
+      limits:
+        cpu: "1"
+        memory: 2Gi
+      requests:
+        cpu: "1"
+        memory: 2Gi
+  protocolVersions:
+  - v2
+  - grpc-v2
+  supportedModelFormats:
+  - autoSelect: true
+    name: tensorrt
+    version: "8"
+  - autoSelect: true
+    name: tensorflow
+    version: "1"
+  - autoSelect: true
+    name: tensorflow
+    version: "2"
+  - autoSelect: true
+    name: onnx
+    version: "1"
+  - name: pytorch
+    version: "1"
+  - autoSelect: true
+    name: triton
+    version: "2"
+---
+apiVersion: serving.kserve.io/v1alpha1
+kind: ClusterServingRuntime
+metadata:
+  name: kserve-xgbserver
+spec:
+  containers:
+  - args:
+    - --model_name={{.Name}}
+    - --model_dir=/mnt/models
+    - --http_port=8080
+    - --nthread=1
+    image: kserve/xgbserver:v0.9.0
+    name: kserve-container
+    resources:
+      limits:
+        cpu: "1"
+        memory: 2Gi
+      requests:
+        cpu: "1"
+        memory: 2Gi
+  protocolVersions:
+  - v1
+  supportedModelFormats:
+  - autoSelect: true
+    name: xgboost
+    version: "1"