v2.116.0

Features

• support customized timeout for model data download and inference container startup health check for Hosting Endpoints
• Trainium Neuron support for PyTorch
• Pipelines cache keys update
• Caching Improvements for SM Pipeline Workflows

v2.115.0

Features

• Add support for TF 2.10 training
• Disable profiler for Trainium instance type
• support the Hyperband strategy with the StrategyConfig
• support the GridSearch strategy for hyperparameter optimization

Bug Fixes and Other Changes

• Update Graviton supported instance families

v2.114.0

Features

• Graviton support for XGB and SKLearn frameworks
• Graviton support for PyTorch and Tensorflow frameworks
• do not expand estimator role when it is pipeline parameter
• added support for batch transform with model monitoring

Bug Fixes and Other Changes

• regex in tuning integs
• remove debugger environment var set up
• adjacent slash in s3 key
• Fix Repack step auto install behavior
• Add retry for airflow ParsingError

Documentation Changes

• doc fix

v2.113.0

Features

• support torch_distributed distribution for Trainium instances

Bug Fixes and Other Changes

• bump apache-airflow from 2.4.0 to 2.4.1 in /requirements/extras

Documentation Changes

• fix kwargs and descriptions of the smdmp checkpoint function
• add the doc for the MonitorBatchTransformStep

v2.112.2

Bug Fixes and Other Changes

• Update Neo-TF2.x versions to TF2.9(.2)

Documentation Changes

• fix typo in PR template

v2.112.1

Bug Fixes and Other Changes

• fix(local-mode): loosen docker requirement to allow 6.0.0
• CreateModelPackage API error for Scikit-learn and XGBoost frameworkss

v2.112.0

Features

• added monitor batch transform step (pipeline)

Bug Fixes and Other Changes

• Add PipelineVariable annotation to framework estimators

v2.111.0

Features

• Edit test file for supporting TF 2.10 training

Bug Fixes and Other Changes

• support kms key in processor pack local code
• security issue by bumping apache-airflow from 2.3.4 to 2.4.0
• instance count retrieval logic
• Add regex for short-form sagemaker-xgboost tags
• Upgrade attrs>=20.3.0,<23
• Add PipelineVariable annotation to Amazon estimators

Documentation Changes

• add context for pytorch

v2.110.0

Features

• Support KeepAlivePeriodInSeconds for Training APIs
• added ANALYSIS_CONFIG_SCHEMA_V1_0 in clarify
• add model monitor image accounts for ap-southeast-3

Bug Fixes and Other Changes

• huggingface release test
• Fixing the logic to return instanceCount for heterogeneousClusters
• Disable type hints in doc signature and add PipelineVariable annotations in docstring
• estimator hyperparameters in script mode

Documentation Changes

• Added link to example notebook for Pipelines local mode

v2.109.0

Features

• add search filters

Bug Fixes and Other Changes

• local pipeline step argument parsing bug
• support fail_on_violation flag for check steps
• fix links per app security scan
• Add PipelineVariable annotation for all processor subclasses

Documentation Changes

• the SageMaker model parallel library 1.11.0 release