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Sagemaker

Latest version: v2.223.0

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2.148.0

Features

* [huggingface] Add `torch.distributed` support for Trainium and `torchrun`
* Add PyTorch 2.0 to SDK

Bug Fixes and Other Changes

* updating batch transform job in monitoring schedule

2.147.0

Features

* support different types of deletion mode

2.146.1

Bug Fixes and Other Changes

* skip failing tests temporarily
* Added ml.p4d and ml.p4de as supported instances for DeepSpeed

Documentation Changes

* Add Model Registry Model Collection

2.146.0

Features

* Add support for JSON model inputs for Clarify Processor

Bug Fixes and Other Changes

* Feature/list collection
* improve reliability of Run integration test
* Add a comment that smdataparallel lib excludes tf 2.12 support

Documentation Changes

* Update reference to load run method in documentation

2.145.0

Features

* add support for async inline error notifications
* Add methods for feature group to list feature metadata parameters and tags
* Support huggingface hub model_id for DJL Models

Bug Fixes and Other Changes

* load_sagemaker_config should lazy initialize a default S3 resource

2.144.0

Features

* support create Clarify explainer enabled endpoint for Clarify Online Explainability
* Combined inference and training script artifact
* jumpstart instance types
* Deprecation warning for framework profiling for TF 2.12 and on, PT 2.0 and on

Bug Fixes and Other Changes

* always delete temporary directory even during exception
* Fixes the completion_criteria_config dict in the to_input_req method
* Update CHANGELOG.md

Documentation Changes

* Update SageMaker Debugger doc

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