Releases: aws/sagemaker-python-sdk
Releases · aws/sagemaker-python-sdk
v2.39.0
Features
- Add HF transformer version 4.5.0
Bug Fixes and Other Changes
- Allow hyperparameters in Tensorflow estimator to be parameterized
Testing and Release Infrastructure
- black format unit tests
v2.38.0
v2.37.0
Features
- add experiment_config for clarify processing job
Documentation Changes
- release notes for smdistributed.dataparallel v1.1.2
v2.36.0
Features
- enable smdataparallel custom mpi options support
v2.35.0
Features
- add support for PyTorch 1.8.1
Bug Fixes and Other Changes
- boto3 client param updated for feature store
- Updated release notes and API doc for smd model parallel 1.3.1
v2.34.0
Features
- Add support for accelerator in Clarify
Bug Fixes and Other Changes
- add Documentation for how to use
- enable local mode tests that were skipped
- add integ test for HuggingFace with TensorFlow
Documentation Changes
- release notes for smdistributed.dataparallel v1.1.1
- fixing the SageMaker distributed version references
Testing and Release Infrastructure
- pin version for ducutils
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- remove outdated notebook from test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
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