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Use ubi8 go-toolset:1.21 #515

Merged
merged 1 commit into from
Jun 27, 2024
Merged

Use ubi8 go-toolset:1.21 #515

merged 1 commit into from
Jun 27, 2024

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spolti
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@spolti spolti commented Jun 20, 2024

chore: The ubi8/go-toolset:1.21 was released, we can now revert the develop image
to this image.

Motivation

Modifications

Result

chore:	The ubi8/go-toolset:1.21 was released, we can now revert the develop image
	to this image.

Signed-off-by: Spolti <[email protected]>
@spolti spolti requested review from rafvasq and removed request for joerunde, rafvasq and njhill June 20, 2024 20:57
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/lgtm

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oss-prow-bot bot commented Jun 26, 2024

[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.

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oss-prow-bot bot commented Jun 26, 2024

[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

Needs approval from an approver in each of these files:

Approvers can indicate their approval by writing /approve in a comment
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@ckadner ckadner merged commit f8cc7aa into kserve:main Jun 27, 2024
7 checks passed
@spolti spolti deleted the gotoolset branch June 28, 2024 18:44
openshift-merge-bot bot pushed a commit to opendatahub-io/modelmesh-serving that referenced this pull request 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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2 participants