Sagemaker

Latest version: v2.224.1

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2.131.1

Not secure
Bug Fixes and Other Changes

* test dub gpu integs with p3
* fix(experiments/run.py): Stop duplication of RUN_TC_TAG on Consecutive Experiment Runs
* Enable load_run without name args in Transform env
* Remove confusing log line emitted during feature group ingestion
* Enable Experiment integ test on beta clients
* Make test_processor_with_role_as_pipeline_parameter more concrete

Documentation Changes

* add security note for the estimator hyperparameter arg
* SageMaker distributed - model parallism library release note
* Add a deprecation note for DetailedProfileConfig

2.131.0

Not secure
Features

* Display file diff on black-check
* Support for environment variables in the HPO
* Support role as PipelineParameter in Processor class
* Add TrainingImageConfig support for SageMaker training jobs

Bug Fixes and Other Changes

* use FeatureGroup's Session in nonconcurrency ingestion
* Update feature_group.py ingest() description
* Do not use print function. User logger instead
* Add batch_get_record and search API for FeatureStore
* hashing problem for framework processors with identical source dirs

2.130.0

Not secure
Features

* Add PyTorch 1.13.1 to SDK
* Adding image_uri config for DJL containers
* Support specifying env-vars when creating model from model package
* local download dir for Model and Estimator classes

Bug Fixes and Other Changes

* increase creation time slack minutes
* Enable load_run auto pass in experiment config
* Add us-isob-east-1 accounts and configs
* Clean up Pipeline unit tests

2.129.0

Not secure
Features

* add p2 deprecation for PT>=1.13
* TF2.11 Update to PySDK

Bug Fixes and Other Changes

* Improve Pipeline integ tests and fix resource leak
* Update TF version to 2.8.4

2.128.0

Not secure
Features

* right_size() for inference recommender

Bug Fixes and Other Changes

* tf 2.9.3 release images
* Retry ValueError for airflow tests

2.127.0

Not secure
Features

* tensorflow inference 2.10.1 release

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