Sagemaker

Latest version: v2.223.0

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2.160.0

Features

* PyTorch 2.0 release
* Add TFS 2.12.1 Graviton image

Bug Fixes and Other Changes

* Fix failing integ test
* remove unnecessary log messages for loading existing experiment runs
* build(deps): bump requests from 2.27.1 to 2.31.0 in /requirements/extras
* SDK Defaults - switch from config printing to logging

2.159.0

Features

* Add TF Serving 2.12.1 images to the SM PySDK

Bug Fixes and Other Changes

* Update the list of extension packages pylint is allowed to load

2.158.0

Features

* Enable default role for Spark processors
* SDK Defaults - S3 Params for Session
* Bump up images for DJL transformers Neuronx DLCs

Bug Fixes and Other Changes

* Relax local-mode PyPI requirements on urllib3

Documentation Changes

* Fix Tensorflow and PyTorch supported version in HuggingFaceProcessor
* Update doc for model_server_workers param in PyTorchModel

2.157.0

Features

* Handle use case where endpoint is created outside of python …

Bug Fixes and Other Changes

* Make type annotation of UploadedCode consistent
* Add SELinux label to local docker volumes

2.156.0

Features

* Partition support for DJLModel using SM Training job
* Update run-notebook-test to consider skips failures

Bug Fixes and Other Changes

* Update apache airflow and update test requirements
* Perform integrity checks for remote function execution
* Add p2 instances to integ tests
* Fix typo in logging message within ir mixin
* double Run create on load_run
* Update dtype logic for huggingface backend for new containers

Documentation Changes

* Update container version for SKLearn
* Add description for parameters in TransformInput

2.155.0

Features

* Add support for SageMaker Serverless inference Provisioned Concurrency feature

Bug Fixes and Other Changes

* Revert "fix: make RemoteExecutor context manager non-blocking on pend…
* Add BOM to no No P2 Availability region list

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