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Sync kserve manifests for v0.8.0 (kubeflow#2240)
* Update kserve manifests from v0.8.0 Update kserve/kserve manifests from 8079f375cbcedc4d45a1b4aade2e2308ea6f9ae8 Update kserve/models-web-app manifests from v0.8.0 * add auto script for kserve and kserve models webapp manifests * update readme and kustomization * add rretry in kserve install for webhook * ignore error while installing * move cmds to script to allow local testing and remove sleep * move crd wait outside set +e (cherry picked from commit c3db49b)
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,256 @@ | ||
| 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:v0.8.0 | ||
| name: kserve-container | ||
| resources: | ||
| limits: | ||
| cpu: "1" | ||
| memory: 2Gi | ||
| requests: | ||
| cpu: "1" | ||
| memory: 2Gi | ||
| 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:0.5.3 | ||
| name: kserve-container | ||
| resources: | ||
| limits: | ||
| cpu: "1" | ||
| memory: 2Gi | ||
| requests: | ||
| cpu: "1" | ||
| memory: 2Gi | ||
| supportedModelFormats: | ||
| - name: sklearn | ||
| version: "0" | ||
| - name: xgboost | ||
| version: "1" | ||
| - 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:v0.8.0 | ||
| name: kserve-container | ||
| resources: | ||
| limits: | ||
| cpu: "1" | ||
| memory: 2Gi | ||
| requests: | ||
| cpu: "1" | ||
| memory: 2Gi | ||
| 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:v0.8.0 | ||
| name: kserve-container | ||
| resources: | ||
| limits: | ||
| cpu: "1" | ||
| memory: 2Gi | ||
| requests: | ||
| cpu: "1" | ||
| memory: 2Gi | ||
| 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:v0.8.0 | ||
| name: kserve-container | ||
| resources: | ||
| limits: | ||
| cpu: "1" | ||
| memory: 2Gi | ||
| requests: | ||
| cpu: "1" | ||
| memory: 2Gi | ||
| 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 | ||
| 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: kserve/torchserve-kfs:0.5.3 | ||
| name: kserve-container | ||
| resources: | ||
| limits: | ||
| cpu: "1" | ||
| memory: 2Gi | ||
| requests: | ||
| cpu: "1" | ||
| memory: 2Gi | ||
| 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 | ||
| supportedModelFormats: | ||
| - name: tensorrt | ||
| version: "8" | ||
| - name: tensorflow | ||
| version: "1" | ||
| - 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:v0.8.0 | ||
| name: kserve-container | ||
| resources: | ||
| limits: | ||
| cpu: "1" | ||
| memory: 2Gi | ||
| requests: | ||
| cpu: "1" | ||
| memory: 2Gi | ||
| supportedModelFormats: | ||
| - autoSelect: true | ||
| name: xgboost | ||
| version: "1" |
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