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if the registered model has s3:///modelname
I passed model-registry:///.
I have made a secret and service account to pass in the creds , however I end up in this error
kubectl logs -n model-workloads gpt-2-modelregistry-predictor-00001-deployment-568cc645d4-zljks -c storage-initializer Initializing, args: src_uri [model-registry://gpt-model/1] dest_path[ [/mnt/models] Falling back to base url model-registry-service.kubeflow.svc.cluster.local:8080 for model registry service Download model indexed in model registry: modelName=, storageUri=model-registry://gpt-model/1, modelDir=/mnt/models Parsed storageUri=model-registry://gpt-model/1 as: modelRegistryUrl=model-registry-service.kubeflow.svc.cluster.local:8080, registeredModelName=gpt-model, versionName=0xc0008142b0 Fetching model: registeredModelName=gpt-model, versionName=0xc0008142b0 Fetching model version: model=&{0xc0008100c8 0xc0008123a0 gpt-model 0xc0008123b0 0xc000812390 0xc0008123c0 0xc0008123d0 0xc0008123e0} Fetching model artifacts: version=&{0xc00088c070 0xc000812200 1 0xc000812230 0xc00088e1d0 3 0xc000812210 0xc00088e1e0 0xc000812220} Error downloading the model: unable to get batch objects RequestError: send request failed caused by: Get "http://modelserving.10.10.10.10:12345/?prefix=gpt2": dial tcp: lookup modelserving.10.10.10.10 on 19.25.25.10:53: no such host
the s3 uri is s3://modelserving/gpt2
the modelregistry uri is : model-registry://gpt-model/1
The text was updated successfully, but these errors were encountered:
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if the registered model has s3:///modelname
I passed model-registry:///.
I have made a secret and service account to pass in the creds , however I end up in this error
kubectl logs -n model-workloads gpt-2-modelregistry-predictor-00001-deployment-568cc645d4-zljks -c storage-initializer
Initializing, args: src_uri [model-registry://gpt-model/1] dest_path[ [/mnt/models]
Falling back to base url model-registry-service.kubeflow.svc.cluster.local:8080 for model registry service
Download model indexed in model registry: modelName=, storageUri=model-registry://gpt-model/1, modelDir=/mnt/models
Parsed storageUri=model-registry://gpt-model/1 as: modelRegistryUrl=model-registry-service.kubeflow.svc.cluster.local:8080, registeredModelName=gpt-model, versionName=0xc0008142b0
Fetching model: registeredModelName=gpt-model, versionName=0xc0008142b0
Fetching model version: model=&{0xc0008100c8 0xc0008123a0 gpt-model 0xc0008123b0 0xc000812390 0xc0008123c0 0xc0008123d0 0xc0008123e0}
Fetching model artifacts: version=&{0xc00088c070 0xc000812200 1 0xc000812230 0xc00088e1d0 3 0xc000812210 0xc00088e1e0 0xc000812220}
Error downloading the model: unable to get batch objects RequestError: send request failed
caused by: Get "http://modelserving.10.10.10.10:12345/?prefix=gpt2": dial tcp: lookup modelserving.10.10.10.10 on 19.25.25.10:53: no such host
the s3 uri is s3://modelserving/gpt2
the modelregistry uri is : model-registry://gpt-model/1
The text was updated successfully, but these errors were encountered: