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Creating new manifests for v0.10.1 (kubeflow#2736) (kubeflow#2739)
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Signed-off-by: rachitchauhan43 <rachitchauhan43@gmail.com>
Signed-off-by: Dan Sun <dsun20@bloomberg.net>
Co-authored-by: Rachit Chauhan <rachitchauhan43@gmail.com>
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yuzisun and rachitchauhan43 authored Mar 5, 2023
1 parent 6236c58 commit 38d9a56
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Showing 10 changed files with 41,803 additions and 5 deletions.
2 changes: 1 addition & 1 deletion charts/kserve-crd/Chart.yaml
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@@ -1,6 +1,6 @@
apiVersion: v1
name: kserve-crd
version: v0.10.0
version: v0.10.1
description: Helm chart for deploying kserve crds
keywords:
- kserve
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373 changes: 373 additions & 0 deletions charts/kserve-crd/templates/serving.kserve.io_inferencegraphs.yaml

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2 changes: 1 addition & 1 deletion charts/kserve-resources/Chart.yaml
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@@ -1,6 +1,6 @@
apiVersion: v1
name: kserve
version: v0.10.0
version: v0.10.1
description: Helm chart for deploying kserve resources
keywords:
- kserve
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2 changes: 1 addition & 1 deletion charts/kserve-resources/values.yaml
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@@ -1,5 +1,5 @@
kserve:
version: &defaultVersion v0.10.0
version: &defaultVersion v0.10.1
modelmeshVersion: &defaultModelMeshVersion v0.10.0
agent:
image: kserve/agent
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1 change: 1 addition & 0 deletions hack/generate-install.sh
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Expand Up @@ -43,6 +43,7 @@ RELEASES=(
"v0.10.0-rc0"
"v0.10.0-rc1"
"v0.10.0"
"v0.10.1"
)

TAG=$1
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2 changes: 1 addition & 1 deletion hack/quick_install.sh
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Expand Up @@ -32,7 +32,7 @@ done

export ISTIO_VERSION=1.15.0
export KNATIVE_VERSION=knative-v1.7.0
export KSERVE_VERSION=v0.10.0
export KSERVE_VERSION=v0.10.1
export CERT_MANAGER_VERSION=v1.3.0
export SCRIPT_DIR="$( dirname -- "${BASH_SOURCE[0]}" )"

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311 changes: 311 additions & 0 deletions install/v0.10.1/kserve-runtimes.yaml
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apiVersion: serving.kserve.io/v1alpha1
kind: ClusterServingRuntime
metadata:
name: kserve-lgbserver
spec:
annotations:
prometheus.kserve.io/path: /metrics
prometheus.kserve.io/port: "8080"
containers:
- args:
- --model_name={{.Name}}
- --model_dir=/mnt/models
- --http_port=8080
- --nthread=1
image: kserve/lgbserver:v0.10.1
name: kserve-container
resources:
limits:
cpu: "1"
memory: 2Gi
requests:
cpu: "1"
memory: 2Gi
protocolVersions:
- v1
supportedModelFormats:
- autoSelect: true
name: lightgbm
version: "3"
---
apiVersion: serving.kserve.io/v1alpha1
kind: ClusterServingRuntime
metadata:
name: kserve-mlserver
spec:
annotations:
prometheus.kserve.io/path: /metrics
prometheus.kserve.io/port: "8080"
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:
annotations:
prometheus.kserve.io/path: /metrics
prometheus.kserve.io/port: "8080"
containers:
- args:
- --model_name={{.Name}}
- --model_dir=/mnt/models
- --http_port=8080
image: kserve/paddleserver:v0.10.1
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:
annotations:
prometheus.kserve.io/path: /metrics
prometheus.kserve.io/port: "8080"
containers:
- args:
- --model_name={{.Name}}
- --model_dir=/mnt/models
- --http_port=8080
image: kserve/pmmlserver:v0.10.1
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:
annotations:
prometheus.kserve.io/path: /metrics
prometheus.kserve.io/port: "8080"
containers:
- args:
- --model_name={{.Name}}
- --model_dir=/mnt/models
- --http_port=8080
image: kserve/sklearnserver:v0.10.1
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:
annotations:
prometheus.kserve.io/path: /metrics
prometheus.kserve.io/port: "8080"
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:
annotations:
prometheus.kserve.io/path: /metrics
prometheus.kserve.io/port: "8082"
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:0.7.0
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:
annotations:
prometheus.kserve.io/path: /metrics
prometheus.kserve.io/port: "8002"
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:
annotations:
prometheus.kserve.io/path: /metrics
prometheus.kserve.io/port: "8080"
containers:
- args:
- --model_name={{.Name}}
- --model_dir=/mnt/models
- --http_port=8080
- --nthread=1
image: kserve/xgbserver:v0.10.1
name: kserve-container
resources:
limits:
cpu: "1"
memory: 2Gi
requests:
cpu: "1"
memory: 2Gi
protocolVersions:
- v1
supportedModelFormats:
- autoSelect: true
name: xgboost
version: "1"
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