v2.33.0

Features

• Add environment variable support for SageMaker training job

Bug Fixes and Other Changes

• add version length mismatch validation for HuggingFace
• Disable debugger when checkpointing is enabled with distributed training
• map user context is list associations response

Testing and Release Infrastructure

• disable_profiler on mx-horovod test

v2.32.1

Bug Fixes and Other Changes

• disable profiler in some release tests
• remove outdated notebook from test
• add compilation option for ml_eia2
• add short version to smdataparallel supported list

Documentation Changes

• creating a "latest" version sm distributed docs
• add docs for Sagemaker Model Parallel 1.3, released with PT 1.8
• update PyTorch version in doc

v2.32.0

Features

• upgrade neo mxnet to 1.8
• Enable Profiler in China Regions

Bug Fixes and Other Changes

• use workflow parameters in training hyperparameters (#2114) (#2115)
• skip HuggingFace tests in regions without p2 instances

Documentation Changes

• add Feature Store methods docs

v2.31.1

Bug Fixes and Other Changes

• added documentation for Hugging Face Estimator
• mark HuggingFace tests as release tests

Documentation Changes

• adding version 1.1.0 docs for smdistributed.dataparallel

v2.31.0

Features

• add HuggingFace framework estimator
• update TF framework version support
• Support all processor types in ProcessingStep

Bug Fixes and Other Changes

• Add pipelines functions.

v2.30.0

Features

• add support for PyTorch 1.8.0
• Allow users to send custom attributes to the model endpoint

Bug Fixes and Other Changes

• use ResolvedOutputS3Uir for Hive DDL LOCATION
• Do lazy initialization in predictor

v2.29.2

Bug Fixes and Other Changes

• move pandas to required dependency from specific use cases

v2.29.1

Bug Fixes and Other Changes

• return all failed row indices in feature_group.ingest
• move service-role path parsing for AmazonSageMaker-ExecutionRole for get_execution_role() into except block of IAM get_role() call and add warning message
• add description parameter for RegisterModelStep
• add type annotations for Lineage

Documentation Changes

• remove ellipsis from CHANGELOG.md

v2.29.0

Features

• add support for TensorFlow 2.4.1 for training, inference and…
• Support profiler config in the pipeline training job step
• support PyTorch 1.7.1 training, inference and data parallel

v2.28.0

Features

• support creating endpoints with model images from private registries