{"payload":{"feedbackUrl":"https://github.com/orgs/community/discussions/53140","repo":{"id":530783131,"defaultBranch":"main","name":"modelmesh-serving","ownerLogin":"opendatahub-io","currentUserCanPush":false,"isFork":true,"isEmpty":false,"createdAt":"2022-08-30T18:34:14.000Z","ownerAvatar":"https://avatars.githubusercontent.com/u/57720972?v=4","public":true,"private":false,"isOrgOwned":true},"refInfo":{"name":"","listCacheKey":"v0:1726235742.0","currentOid":""},"activityList":{"items":[{"before":"7cd43a96996f519e1931022a07ac784fb3be0e53","after":null,"ref":"refs/tags/v0.12.0.4-rc0","pushedAt":"2024-08-27T21:09:24.000Z","pushType":"branch_deletion","commitsCount":0,"pusher":{"login":"spolti","name":"Filippe 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href=\"https://github.com/opendatahub-io/modelmesh-serving/pull/300\">#300</a> from spolti/sync"}},{"before":"970b9e3de41c5005ad8432802b59f3a2922c3140","after":"589dbac51531e44d5acf43e889e89db109509030","ref":"refs/heads/main","pushedAt":"2024-08-26T17:09:13.000Z","pushType":"force_push","commitsCount":0,"pusher":{"login":"spolti","name":"Filippe Spolti","path":"/spolti","primaryAvatarUrl":"https://avatars.githubusercontent.com/u/1863987?s=80&v=4"},"commit":{"message":"Merge pull request #294 from kserve/main\n\n[pull] main from kserve:main","shortMessageHtmlLink":"Merge pull request <a class=\"issue-link js-issue-link\" data-error-text=\"Failed to load title\" data-id=\"2320523709\" data-permission-text=\"Title is private\" data-url=\"https://github.com/opendatahub-io/modelmesh-serving/issues/294\" data-hovercard-type=\"pull_request\" data-hovercard-url=\"/opendatahub-io/modelmesh-serving/pull/294/hovercard\" href=\"https://github.com/opendatahub-io/modelmesh-serving/pull/294\">#294</a> from kserve/main"}},{"before":"49097084e08c7ea77de6575ecd5a093a44f95eb0","after":"970b9e3de41c5005ad8432802b59f3a2922c3140","ref":"refs/heads/main","pushedAt":"2024-08-22T21:38:33.000Z","pushType":"pr_merge","commitsCount":1,"pusher":{"login":"openshift-merge-bot[bot]","name":null,"path":"/apps/openshift-merge-bot","primaryAvatarUrl":"https://avatars.githubusercontent.com/in/412865?s=80&v=4"},"commit":{"message":"[pull] main from kserve:main (#298)\n\n* docs: changed every instance of default_bucket to bucket (#507)\n\n#### Motivation\r\n\r\nReplacing default_bucket -> bucket everywhere in this repo to ensure\r\nit's consistent with KServe.\r\n\r\n#### Modifications\r\n\r\nreplaced every instance of `default_bucket` to `bucket`\r\n\r\n#### Result\r\n\r\nTested the [quickstart\r\ninstall](https://github.com/kserve/modelmesh-serving/blob/main/docs/quickstart.md)\r\nafter modifying\r\n[quickstart.yaml](https://github.com/kserve/modelmesh-serving/blob/6c86da9473d50de63f9ea3af8a4d7c223849547e/config/dependencies/quickstart.yaml#L127)\r\n\r\npods up and running - \r\n\r\n```\r\nkubectl get pods\r\nNAME                                              READY   STATUS    RESTARTS   AGE\r\netcd-6fdc487479-m9pkx                             1/1     Running   0          32m\r\nminio-6b5c846587-8bwdv                            1/1     Running   0          32m\r\nmodelmesh-controller-5cd8d68bc-9ls9p              1/1     Running   0          31m\r\nmodelmesh-serving-mlserver-1.x-66bb94dcf6-hvgzj   4/4     Running   0          26m\r\nmodelmesh-serving-mlserver-1.x-66bb94dcf6-qtdzw   4/4     Running   0          26m\r\n```\r\n\r\nModel deployed and InferenceService is Ready - \r\n\r\n```\r\nkubectl get isvc\r\nNAME                   URL                                               READY   PREV   LATEST   PREVROLLEDOUTREVISION   LATESTREADYREVISION   AGE\r\nexample-sklearn-isvc   grpc://modelmesh-serving.modelmesh-serving:8033   True  \r\n```\r\n\r\n```\r\nkubectl describe isvc example-sklearn-isvc\r\nName:         example-sklearn-isvc\r\nNamespace:    modelmesh-serving\r\nLabels:       <none>\r\nAnnotations:  serving.kserve.io/deploymentMode: ModelMesh\r\nAPI Version:  serving.kserve.io/v1beta1\r\nKind:         InferenceService\r\nMetadata:\r\n  Creation Timestamp:  2024-05-28T07:19:00Z\r\n  Generation:          1\r\n  Resource Version:    5950\r\n  UID:                 db71cf11-7842-4bc1-af97-647282e6b9b9\r\nSpec:\r\n  Predictor:\r\n    Model:\r\n      Model Format:\r\n        Name:  sklearn\r\n      Storage:\r\n        Key:   localMinIO\r\n        Path:  sklearn/mnist-svm.joblib\r\nStatus:\r\n  Components:\r\n    Predictor:\r\n      Grpc URL:  grpc://modelmesh-serving.modelmesh-serving:8033\r\n      Rest URL:  http://modelmesh-serving.modelmesh-serving:8008\r\n      URL:       grpc://modelmesh-serving.modelmesh-serving:8033\r\n  Conditions:\r\n    Last Transition Time:  2024-05-28T07:25:07Z\r\n    Status:                True\r\n    Type:                  PredictorReady\r\n    Last Transition Time:  2024-05-28T07:25:07Z\r\n    Status:                True\r\n    Type:                  Ready\r\n  Model Status:\r\n    Copies:\r\n      Failed Copies:  0\r\n      Total Copies:   1\r\n    States:\r\n      Active Model State:  Loaded\r\n      Target Model State:  \r\n    Transition Status:     UpToDate\r\n  URL:                     grpc://modelmesh-serving.modelmesh-serving:8033\r\nEvents:                    <none>\r\n```\r\n\r\nInference Request successful - \r\n\r\n```\r\nMODEL_NAME=example-sklearn-isvc\r\ngrpcurl \\\r\n  -plaintext \\\r\n  -proto fvt/proto/kfs_inference_v2.proto \\\r\n  -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] }}]}' \\\r\n  localhost:8033 \\\r\n  inference.GRPCInferenceService.ModelInfer\r\n\r\nHandling connection for 8033\r\n{\r\n  \"modelName\": \"example-sklearn-isvc__isvc-6b2eb0b8bf\",\r\n  \"outputs\": [\r\n    {\r\n      \"name\": \"predict\",\r\n      \"datatype\": \"INT64\",\r\n      \"shape\": [\r\n        \"1\",\r\n        \"1\"\r\n      ],\r\n      \"contents\": {\r\n        \"int64Contents\": [\r\n          \"8\"\r\n        ]\r\n      }\r\n    }\r\n  ]\r\n}\r\n```\r\n\r\n\r\nThis issue closes #456\r\n\r\n---------\r\n\r\nSigned-off-by: Aayush Subramaniam <aayushsubramaniam@gmail.com>\n\n* ci: Add nightly build twice a week (#513)\n\nSigned-off-by: Christian Kadner <ckadner@us.ibm.com>\n\n* chore: Use ubi8/go-toolset:1.21 for dev image (#515)\n\nSigned-off-by: Spolti <fspolti@redhat.com>\n\n---------\n\nSigned-off-by: Aayush Subramaniam <aayushsubramaniam@gmail.com>\nSigned-off-by: Christian Kadner <ckadner@us.ibm.com>\nSigned-off-by: Spolti <fspolti@redhat.com>\nCo-authored-by: Aayush Subramaniam <51130346+aayushsss1@users.noreply.github.com>\nCo-authored-by: Christian Kadner <ckadner@us.ibm.com>\nCo-authored-by: Filippe Spolti <fspolti@redhat.com>","shortMessageHtmlLink":"[pull] main from kserve:main (<a class=\"issue-link js-issue-link\" data-error-text=\"Failed to load title\" data-id=\"2476803976\" data-permission-text=\"Title is private\" data-url=\"https://github.com/opendatahub-io/modelmesh-serving/issues/298\" data-hovercard-type=\"pull_request\" data-hovercard-url=\"/opendatahub-io/modelmesh-serving/pull/298/hovercard\" href=\"https://github.com/opendatahub-io/modelmesh-serving/pull/298\">#298</a>)"}},{"before":"589dbac51531e44d5acf43e889e89db109509030","after":"49097084e08c7ea77de6575ecd5a093a44f95eb0","ref":"refs/heads/main","pushedAt":"2024-08-20T20:51:02.000Z","pushType":"pr_merge","commitsCount":1,"pusher":{"login":"openshift-merge-bot[bot]","name":null,"path":"/apps/openshift-merge-bot","primaryAvatarUrl":"https://avatars.githubusercontent.com/in/412865?s=80&v=4"},"commit":{"message":"[pull] main from kserve:main (#295)\n\n* docs: changed every instance of default_bucket to bucket (#507)\n\n#### Motivation\r\n\r\nReplacing default_bucket -> bucket everywhere in this repo to ensure\r\nit's consistent with KServe.\r\n\r\n#### Modifications\r\n\r\nreplaced every instance of `default_bucket` to `bucket`\r\n\r\n#### Result\r\n\r\nTested the [quickstart\r\ninstall](https://github.com/kserve/modelmesh-serving/blob/main/docs/quickstart.md)\r\nafter modifying\r\n[quickstart.yaml](https://github.com/kserve/modelmesh-serving/blob/6c86da9473d50de63f9ea3af8a4d7c223849547e/config/dependencies/quickstart.yaml#L127)\r\n\r\npods up and running - \r\n\r\n```\r\nkubectl get pods\r\nNAME                                              READY   STATUS    RESTARTS   AGE\r\netcd-6fdc487479-m9pkx                             1/1     Running   0          32m\r\nminio-6b5c846587-8bwdv                            1/1     Running   0          32m\r\nmodelmesh-controller-5cd8d68bc-9ls9p              1/1     Running   0          31m\r\nmodelmesh-serving-mlserver-1.x-66bb94dcf6-hvgzj   4/4     Running   0          26m\r\nmodelmesh-serving-mlserver-1.x-66bb94dcf6-qtdzw   4/4     Running   0          26m\r\n```\r\n\r\nModel deployed and InferenceService is Ready - \r\n\r\n```\r\nkubectl get isvc\r\nNAME                   URL                                               READY   PREV   LATEST   PREVROLLEDOUTREVISION   LATESTREADYREVISION   AGE\r\nexample-sklearn-isvc   grpc://modelmesh-serving.modelmesh-serving:8033   True  \r\n```\r\n\r\n```\r\nkubectl describe isvc example-sklearn-isvc\r\nName:         example-sklearn-isvc\r\nNamespace:    modelmesh-serving\r\nLabels:       <none>\r\nAnnotations:  serving.kserve.io/deploymentMode: ModelMesh\r\nAPI Version:  serving.kserve.io/v1beta1\r\nKind:         InferenceService\r\nMetadata:\r\n  Creation Timestamp:  2024-05-28T07:19:00Z\r\n  Generation:          1\r\n  Resource Version:    5950\r\n  UID:                 db71cf11-7842-4bc1-af97-647282e6b9b9\r\nSpec:\r\n  Predictor:\r\n    Model:\r\n      Model Format:\r\n        Name:  sklearn\r\n      Storage:\r\n        Key:   localMinIO\r\n        Path:  sklearn/mnist-svm.joblib\r\nStatus:\r\n  Components:\r\n    Predictor:\r\n      Grpc URL:  grpc://modelmesh-serving.modelmesh-serving:8033\r\n      Rest URL:  http://modelmesh-serving.modelmesh-serving:8008\r\n      URL:       grpc://modelmesh-serving.modelmesh-serving:8033\r\n  Conditions:\r\n    Last Transition Time:  2024-05-28T07:25:07Z\r\n    Status:                True\r\n    Type:                  PredictorReady\r\n    Last Transition Time:  2024-05-28T07:25:07Z\r\n    Status:                True\r\n    Type:                  Ready\r\n  Model Status:\r\n    Copies:\r\n      Failed Copies:  0\r\n      Total Copies:   1\r\n    States:\r\n      Active Model State:  Loaded\r\n      Target Model State:  \r\n    Transition Status:     UpToDate\r\n  URL:                     grpc://modelmesh-serving.modelmesh-serving:8033\r\nEvents:                    <none>\r\n```\r\n\r\nInference Request successful - \r\n\r\n```\r\nMODEL_NAME=example-sklearn-isvc\r\ngrpcurl \\\r\n  -plaintext \\\r\n  -proto fvt/proto/kfs_inference_v2.proto \\\r\n  -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] }}]}' \\\r\n  localhost:8033 \\\r\n  inference.GRPCInferenceService.ModelInfer\r\n\r\nHandling connection for 8033\r\n{\r\n  \"modelName\": \"example-sklearn-isvc__isvc-6b2eb0b8bf\",\r\n  \"outputs\": [\r\n    {\r\n      \"name\": \"predict\",\r\n      \"datatype\": \"INT64\",\r\n      \"shape\": [\r\n        \"1\",\r\n        \"1\"\r\n      ],\r\n      \"contents\": {\r\n        \"int64Contents\": [\r\n          \"8\"\r\n        ]\r\n      }\r\n    }\r\n  ]\r\n}\r\n```\r\n\r\n\r\nThis issue closes #456\r\n\r\n---------\r\n\r\nSigned-off-by: Aayush Subramaniam <aayushsubramaniam@gmail.com>\n\n* ci: Add nightly build twice a week (#513)\n\nSigned-off-by: Christian Kadner <ckadner@us.ibm.com>\n\n* chore: Use 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