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Integrate rock for xgbserver v0.11.2 #222

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merged 1 commit into from
Mar 8, 2024
Merged

Integrate rock for xgbserver v0.11.2 #222

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2 changes: 1 addition & 1 deletion charms/kserve-controller/src/default-custom-images.json
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Original file line number Diff line number Diff line change
Expand Up @@ -14,7 +14,7 @@
"serving_runtimes__tensorflow_serving": "tensorflow/serving:2.6.2",
"serving_runtimes__torchserve": "pytorch/torchserve-kfs:0.8.2",
"serving_runtimes__tritonserver": "nvcr.io/nvidia/tritonserver:23.05-py3",
"serving_runtimes__xgbserver": "kserve/xgbserver:v0.11.1"
"serving_runtimes__xgbserver": "charmedkubeflow/xgbserver:0.11.2-d1246b8"
}


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1 change: 1 addition & 0 deletions charms/kserve-controller/tests/integration/test_charm.py
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Expand Up @@ -201,6 +201,7 @@ def create_namespace():
"./tests/integration/sklearn-iris.yaml",
"./tests/integration/pmml-server.yaml",
"./tests/integration/paddleserver-resnet.yaml",
"./tests/integration/xgbserver.yaml",
],
)
def test_inference_service_raw_deployment(
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19 changes: 19 additions & 0 deletions charms/kserve-controller/tests/integration/xgbserver.yaml
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Original file line number Diff line number Diff line change
@@ -0,0 +1,19 @@
apiVersion: "serving.kserve.io/v1beta1"
kind: "InferenceService"
metadata:
name: "xgboost-v2-iris"
spec:
predictor:
model:
modelFormat:
name: xgboost
protocolVersion: v2
runtime: kserve-xgbserver
storageUri: "gs://kfserving-examples/models/xgboost/iris"
resources:
limits:
cpu: 1
memory: 500Mi
requests:
cpu: 100m
memory: 250Mi
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