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* Added platform architecture field to TrainedModelMetadata and users of TrainedModelMetadata * Added TransportVersions guarding for TrainedModelMetadata * Prevent platform-specific models from being deployed on the wrong architecture * Added logic to only verify node architectures for models which are platform specific * Handle null platform architecture * Added logging for the detection of heterogeneous platform architectures among ML nodes and refactoring to support this * Added platform architecture field to TrainedModelConfig * Stop platform-speficic model when rebalance occurs and the cluster has a heterogeneous architecture among ML nodes * Added logic to TransportPutTrainedModelAction to return a warning response header when the model is paltform-specific and cannot be depoloyed on the cluster at that time due to heterogenous architectures among ML nodes * Added MlPlatformArchitecturesUtilTests * Updated Create Trained Models API docs to describe the new platform_architecture optional field. * Updated/incremented InferenceIndexConstants * Added special override to make models with linux-x86_64 in the model ID to be platform specific |
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.. | ||
clear-trained-model-deployment-cache.asciidoc | ||
delete-trained-models-aliases.asciidoc | ||
delete-trained-models.asciidoc | ||
get-trained-models-stats.asciidoc | ||
get-trained-models.asciidoc | ||
index.asciidoc | ||
infer-trained-model-deployment.asciidoc | ||
infer-trained-model.asciidoc | ||
ml-trained-models-apis.asciidoc | ||
put-trained-model-definition-part.asciidoc | ||
put-trained-model-vocabulary.asciidoc | ||
put-trained-models-aliases.asciidoc | ||
put-trained-models.asciidoc | ||
start-trained-model-deployment.asciidoc | ||
stop-trained-model-deployment.asciidoc | ||
update-trained-model-deployment.asciidoc |