Sagemaker

Latest version: v2.224.1

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2.214.0

Not secure
Features

* add support to ``clarify.py`` for time series explainability jobs

Bug Fixes and Other Changes

* remove pytorch test for deprecated function
* skip test_experiment_analytics to unblock release
* Create workflow module scoped sagemaker_session to resolve test race condition
* Simplify how we process test dependencies, which are supposed to include all extras.
* skip failing feature store search integ test
* skip failing pt test
* list jumpstart models with invalid version strings
* urge customers to install latest version

2.213.0

Not secure
Features

* Add support for Streaming Inference
* tgi optimum 0.0.19, 0.0.20 releases
* support JumpStart proprietary models
* Add ModelDataSource and SourceUri support for model package and while registering
* Accept user-defined env variables for the entry-point
* Add overriding logic in ModelBuilder when task is provided

Bug Fixes and Other Changes

* Improvement of the tuner documentation
* Skip of tests which are long running and causing the ResourceLimitInUse exception
* Add AutoML -> AutoMLV2 mapper
* add ci-health checks
* split coverage out from testenv in tox.ini
* add PT 2.2 support for smdistributed, pytorchddp, and torch_distributed distributions
* sagemaker session region not being used
* chore: emit warning when no instance specific gated training env var is available, and raise exception when accept_eula flag is not supplied
* enable github actions for PRs
* Move sagemaker pysdk version check after bootstrap in remote job
* make unit tests compatible with pytest-xdist
* Update tblib constraint

2.212.0

Not secure
Features

* Update SM Python SDK for PT 2.2.0 SM DLC

Bug Fixes and Other Changes

* Create custom tarfile extractall util to fix backward compatibility issue
* Upgrade smp to version 2.2
* Enhance model builder selection logic to include model size

2.211.0

Not secure
Features

* pin dll version to support python3.11 to the sdk
* instance specific jumpstart host requirements
* Add TensorFlow 2.14 image configs
* Add AutoMLV2 support
* Support selective pipeline execution between function step and regular step
* Add new Triton DLC URIs

Bug Fixes and Other Changes

* Skip No Canvas regions for test_deploy_best_candidate
* make sure gpus are found in local_gpu run
* Bump Apache Airflow version to 2.8.2
* properly close sagemaker config file after loading config
* remove enable_network_isolation from the python doc

Documentation Changes

* Add doc for new feature processor APIs and classes

2.210.0

Not secure
Features

* Prepend SageMaker Studio App Type to boto3 User Agent string
* TGI optimum 0.0.18 (general+llm)
* TGI 1.4.2

Bug Fixes and Other Changes

* tolerate vulnerable old model for integ test and temporarily skip test_list_jumpstart_models_script_filter
* add missing regions to pytorch config
* Add validation for sagemaker version on remote job
* fixed implementation of fail_on_violation for transform with monitoring

2.209.0

Not secure
Features

* ModelBuilder to fetch local schema when no SchemaBuilder present.
* AutoGluon 1.0.0 image_uris update

Bug Fixes and Other Changes

* skip pytorch training compiler integ test
* add fixes for tarfile extractall functionality PEP-721
* Fix telemetry image uri option logic for ModelBuilder
* Add telemetry metrics on usage of default images for ModelBuilder
* Fix error message typo
* Add "distribution" parameter into record_set

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