ci: Add nightly build twice a week #513
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Signed-off-by: Christian Kadner <[email protected]>
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: ckadner, spolti The full list of commands accepted by this bot can be found here. The pull request process is described here
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: ckadner, spolti The full list of commands accepted by this bot can be found here. The pull request process is described here
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openshift-merge-bot bot
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Aug 20, 2024
* docs: changed every instance of default_bucket to bucket (kserve#507) #### Motivation Replacing default_bucket -> bucket everywhere in this repo to ensure it's consistent with KServe. #### Modifications replaced every instance of `default_bucket` to `bucket` #### Result Tested the [quickstart install](https://github.com/kserve/modelmesh-serving/blob/main/docs/quickstart.md) after modifying [quickstart.yaml](https://github.com/kserve/modelmesh-serving/blob/6c86da9473d50de63f9ea3af8a4d7c223849547e/config/dependencies/quickstart.yaml#L127) pods up and running - ``` kubectl get pods NAME READY STATUS RESTARTS AGE etcd-6fdc487479-m9pkx 1/1 Running 0 32m minio-6b5c846587-8bwdv 1/1 Running 0 32m modelmesh-controller-5cd8d68bc-9ls9p 1/1 Running 0 31m modelmesh-serving-mlserver-1.x-66bb94dcf6-hvgzj 4/4 Running 0 26m modelmesh-serving-mlserver-1.x-66bb94dcf6-qtdzw 4/4 Running 0 26m ``` Model deployed and InferenceService is Ready - ``` kubectl get isvc NAME URL READY PREV LATEST PREVROLLEDOUTREVISION LATESTREADYREVISION AGE example-sklearn-isvc grpc://modelmesh-serving.modelmesh-serving:8033 True ``` ``` kubectl describe isvc example-sklearn-isvc Name: example-sklearn-isvc Namespace: modelmesh-serving Labels: <none> Annotations: serving.kserve.io/deploymentMode: ModelMesh API Version: serving.kserve.io/v1beta1 Kind: InferenceService Metadata: Creation Timestamp: 2024-05-28T07:19:00Z Generation: 1 Resource Version: 5950 UID: db71cf11-7842-4bc1-af97-647282e6b9b9 Spec: Predictor: Model: Model Format: Name: sklearn Storage: Key: localMinIO Path: sklearn/mnist-svm.joblib Status: Components: Predictor: Grpc URL: grpc://modelmesh-serving.modelmesh-serving:8033 Rest URL: http://modelmesh-serving.modelmesh-serving:8008 URL: grpc://modelmesh-serving.modelmesh-serving:8033 Conditions: Last Transition Time: 2024-05-28T07:25:07Z Status: True Type: PredictorReady Last Transition Time: 2024-05-28T07:25:07Z Status: True Type: Ready Model Status: Copies: Failed Copies: 0 Total Copies: 1 States: Active Model State: Loaded Target Model State: Transition Status: UpToDate URL: grpc://modelmesh-serving.modelmesh-serving:8033 Events: <none> ``` Inference Request successful - ``` MODEL_NAME=example-sklearn-isvc grpcurl \ -plaintext \ -proto fvt/proto/kfs_inference_v2.proto \ -d '{ "model_name": "'"${MODEL_NAME}"'", "inputs": [{ "name": "predict", "shape": [1, 64], "datatype": "FP32", "contents": { "fp32_contents": [0.0, 0.0, 1.0, 11.0, 14.0, 15.0, 3.0, 0.0, 0.0, 1.0, 13.0, 16.0, 12.0, 16.0, 8.0, 0.0, 0.0, 8.0, 16.0, 4.0, 6.0, 16.0, 5.0, 0.0, 0.0, 5.0, 15.0, 11.0, 13.0, 14.0, 0.0, 0.0, 0.0, 0.0, 2.0, 12.0, 16.0, 13.0, 0.0, 0.0, 0.0, 0.0, 0.0, 13.0, 16.0, 16.0, 6.0, 0.0, 0.0, 0.0, 0.0, 16.0, 16.0, 16.0, 7.0, 0.0, 0.0, 0.0, 0.0, 11.0, 13.0, 12.0, 1.0, 0.0] }}]}' \ localhost:8033 \ inference.GRPCInferenceService.ModelInfer Handling connection for 8033 { "modelName": "example-sklearn-isvc__isvc-6b2eb0b8bf", "outputs": [ { "name": "predict", "datatype": "INT64", "shape": [ "1", "1" ], "contents": { "int64Contents": [ "8" ] } } ] } ``` This issue closes kserve#456 --------- Signed-off-by: Aayush Subramaniam <[email protected]> * ci: Add nightly build twice a week (kserve#513) Signed-off-by: Christian Kadner <[email protected]> * chore: Use ubi8/go-toolset:1.21 for dev image (kserve#515) Signed-off-by: Spolti <[email protected]> --------- Signed-off-by: Aayush Subramaniam <[email protected]> Signed-off-by: Christian Kadner <[email protected]> Signed-off-by: Spolti <[email protected]> Co-authored-by: Aayush Subramaniam <[email protected]> Co-authored-by: Christian Kadner <[email protected]> Co-authored-by: Filippe Spolti <[email protected]>
openshift-merge-bot bot
pushed a commit
to opendatahub-io/modelmesh-serving
that referenced
this pull request
Aug 22, 2024
* docs: changed every instance of default_bucket to bucket (kserve#507) #### Motivation Replacing default_bucket -> bucket everywhere in this repo to ensure it's consistent with KServe. #### Modifications replaced every instance of `default_bucket` to `bucket` #### Result Tested the [quickstart install](https://github.com/kserve/modelmesh-serving/blob/main/docs/quickstart.md) after modifying [quickstart.yaml](https://github.com/kserve/modelmesh-serving/blob/6c86da9473d50de63f9ea3af8a4d7c223849547e/config/dependencies/quickstart.yaml#L127) pods up and running - ``` kubectl get pods NAME READY STATUS RESTARTS AGE etcd-6fdc487479-m9pkx 1/1 Running 0 32m minio-6b5c846587-8bwdv 1/1 Running 0 32m modelmesh-controller-5cd8d68bc-9ls9p 1/1 Running 0 31m modelmesh-serving-mlserver-1.x-66bb94dcf6-hvgzj 4/4 Running 0 26m modelmesh-serving-mlserver-1.x-66bb94dcf6-qtdzw 4/4 Running 0 26m ``` Model deployed and InferenceService is Ready - ``` kubectl get isvc NAME URL READY PREV LATEST PREVROLLEDOUTREVISION LATESTREADYREVISION AGE example-sklearn-isvc grpc://modelmesh-serving.modelmesh-serving:8033 True ``` ``` kubectl describe isvc example-sklearn-isvc Name: example-sklearn-isvc Namespace: modelmesh-serving Labels: <none> Annotations: serving.kserve.io/deploymentMode: ModelMesh API Version: serving.kserve.io/v1beta1 Kind: InferenceService Metadata: Creation Timestamp: 2024-05-28T07:19:00Z Generation: 1 Resource Version: 5950 UID: db71cf11-7842-4bc1-af97-647282e6b9b9 Spec: Predictor: Model: Model Format: Name: sklearn Storage: Key: localMinIO Path: sklearn/mnist-svm.joblib Status: Components: Predictor: Grpc URL: grpc://modelmesh-serving.modelmesh-serving:8033 Rest URL: http://modelmesh-serving.modelmesh-serving:8008 URL: grpc://modelmesh-serving.modelmesh-serving:8033 Conditions: Last Transition Time: 2024-05-28T07:25:07Z Status: True Type: PredictorReady Last Transition Time: 2024-05-28T07:25:07Z Status: True Type: Ready Model Status: Copies: Failed Copies: 0 Total Copies: 1 States: Active Model State: Loaded Target Model State: Transition Status: UpToDate URL: grpc://modelmesh-serving.modelmesh-serving:8033 Events: <none> ``` Inference Request successful - ``` MODEL_NAME=example-sklearn-isvc grpcurl \ -plaintext \ -proto fvt/proto/kfs_inference_v2.proto \ -d '{ "model_name": "'"${MODEL_NAME}"'", "inputs": [{ "name": "predict", "shape": [1, 64], "datatype": "FP32", "contents": { "fp32_contents": [0.0, 0.0, 1.0, 11.0, 14.0, 15.0, 3.0, 0.0, 0.0, 1.0, 13.0, 16.0, 12.0, 16.0, 8.0, 0.0, 0.0, 8.0, 16.0, 4.0, 6.0, 16.0, 5.0, 0.0, 0.0, 5.0, 15.0, 11.0, 13.0, 14.0, 0.0, 0.0, 0.0, 0.0, 2.0, 12.0, 16.0, 13.0, 0.0, 0.0, 0.0, 0.0, 0.0, 13.0, 16.0, 16.0, 6.0, 0.0, 0.0, 0.0, 0.0, 16.0, 16.0, 16.0, 7.0, 0.0, 0.0, 0.0, 0.0, 11.0, 13.0, 12.0, 1.0, 0.0] }}]}' \ localhost:8033 \ inference.GRPCInferenceService.ModelInfer Handling connection for 8033 { "modelName": "example-sklearn-isvc__isvc-6b2eb0b8bf", "outputs": [ { "name": "predict", "datatype": "INT64", "shape": [ "1", "1" ], "contents": { "int64Contents": [ "8" ] } } ] } ``` This issue closes kserve#456 --------- Signed-off-by: Aayush Subramaniam <[email protected]> * ci: Add nightly build twice a week (kserve#513) Signed-off-by: Christian Kadner <[email protected]> * chore: Use ubi8/go-toolset:1.21 for dev image (kserve#515) Signed-off-by: Spolti <[email protected]> --------- Signed-off-by: Aayush Subramaniam <[email protected]> Signed-off-by: Christian Kadner <[email protected]> Signed-off-by: Spolti <[email protected]> Co-authored-by: Aayush Subramaniam <[email protected]> Co-authored-by: Christian Kadner <[email protected]> Co-authored-by: Filippe Spolti <[email protected]>
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Motivation
#508 (comment)
Modifications
Add cron schedule build trigger
FYI @spolti