Commit 87dc675
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fix: resolve MTRL eval base-model ARN against the configured hub (#6040)
When evaluating a fine-tuned model via attach()/ModelPackage, the base
model's hub-content ARN is reconstructed from the model package's
BaseModel metadata (HubContentName + HubContentVersion) because the
backend does not populate HubContentArn. That reconstruction was
hardcoded to SageMakerPublicHub with an account-less ("aws") owner.
Models customized against a private/custom hub (SAGEMAKER_HUB_NAME) then
resolve to a public-hub ARN that does not exist, and the evaluation
pipeline's CreateJob fails server-side with:
ResourceNotFound: Hub content with name <model> does not exist
Honor get_sagemaker_hub_name() when reconstructing the ARN, and use the
model package's own account for private hubs (public-hub content stays
account-less). The string/JumpStart-ID path already honored the hub via
_resolve_jumpstart_model; this aligns the model-package path with it.
Add a private-hub unit test and pin the existing test to the default hub.1 parent e9aa599 commit 87dc675
2 files changed
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- sagemaker-train
- src/sagemaker/train/common_utils
- tests/unit/train/common_utils
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