v2.244.0

Features

• support custom workflow deployment in ModelBuilder using SMD image.

Bug Fixes and Other Changes

• Add Owner ID check for bucket with path when prefix is provided
• Add model server timeout
• pin mamba version to 24.11.3-2 to avoid inconsistent test runs
• Update ModelTrainer to support s3 uri and tar.gz file as source_dir
• chore: add huggingface images

v2.243.3

Bug Fixes and Other Changes

• update readme to reflect py312 upgrade
• Revert the PR changes 5122
• Py312 upgrade step 2: Update dependencies, integ tests and unit tests
• update pr test to deprecate py38 and add py312
• update image_uri_configs 04-16-2025 07:18:18 PST
• update image_uri_configs 04-15-2025 07:18:10 PST
• update image_uri_configs 04-11-2025 07:18:19 PST

v2.243.2

Bug Fixes and Other Changes

• tgi image uri unit tests
• Fix deepdiff dependencies

v2.243.1

Bug Fixes and Other Changes

• Added handler for pipeline variable while creating process job
• Fix issue #4856 by copying environment variables
• remove historical job_name caching which causes long job name
• Update instance gpu info
• Master
• Add mlflow tracking arn telemetry
• chore: fix semantic versioning for wildcard identifier
• flaky test

Documentation Changes

• update pipelines step caching examples to include more steps
• update ModelStep data dependency info

v2.243.0

Features

• Enabled update_endpoint through model_builder

Bug Fixes and Other Changes

• Update for PT 2.5.1, SMP 2.8.0
• chore: move jumpstart region definitions to json file
• fix flaky clarify model monitor test
• fix flaky spark processor integ
• use temp file in unit tests
• Update transformers version
• Aligned disable_output_compression for @Remote with Estimator
• Update Jinja version
• update image_uri_configs 03-26-2025 07:18:16 PST
• chore: fix integ tests to use latest version of model
• update image_uri_configs 03-25-2025 07:18:13 PST
• Skip tests failed due to deprecated instance type
• update image_uri_configs 03-21-2025 07:17:55 PST
• factor in set instance type when building JumpStart models in ModelBuilder.
• ADD Documentation to ReadtheDocs for Upgrading torch versions
• add new regions to JUMPSTART_LAUNCHED_REGIONS

v2.242.0

Features

• add integ tests for training JumpStart models in private hub

Bug Fixes and Other Changes

• Torch upgrade
• Prevent RunContext overlap between test_run tests
• remove s3 output location requirement from hub class init
• Fixing Pytorch training python version in tests
• update image_uri_configs 03-11-2025 07:18:09 PST
• resolve infinite loop in _find_config on Windows systems
• pipeline definition function doc update

v2.241.0

Features

• Make DistributedConfig Extensible
• support training for JumpStart model references as part of Curated Hub Phase 2
• Allow ModelTrainer to accept hyperparameters file

Bug Fixes and Other Changes

• Skip tests with deprecated instance type
• Ensure Model.is_repack() returns a boolean
• Fix error when there is no session to call _create_model_request()
• Use sagemaker session's s3_resource in download_folder
• Added check for the presence of model package group before creating one
• Fix key error in _send_metrics()

v2.240.0

Features

• Add support for TGI Neuronx 0.0.27 and HF PT 2.3.0 image in PySDK

Bug Fixes and Other Changes

• Remove main function entrypoint in ModelBuilder dependency manager.
• forbid extras in Configs
• altconfig hubcontent and reenable integ test
• Merge branch 'master-rba' into local_merge
• py_version doc fixes
• Add backward compatbility for RecordSerializer and RecordDeserializer
• update image_uri_configs 02-21-2025 06:18:10 PST
• update image_uri_configs 02-20-2025 06:18:08 PST

Documentation Changes

• Removed a line about python version requirements of training script which can misguide users.

v2.239.3

Bug Fixes and Other Changes

• added ap-southeast-7 and mx-central-1 for Jumpstart
• update image_uri_configs 02-19-2025 06:18:15 PST

v2.239.2

Bug Fixes and Other Changes

• Add warning about not supporting torch.nn.SyncBatchNorm
• pass in inference_ami_version to model_based endpoint type
• Fix hyperparameter strategy docs
• Add framework_version to all TensorFlowModel examples
• Move RecordSerializer and RecordDeserializer to sagemaker.serializers and sagemaker.deserialzers