Releases: aws/sagemaker-pytorch-training-toolkit
Releases · aws/sagemaker-pytorch-training-toolkit
v2.4.0
Features
Bug Fixes and Other Changes
- use ubuntu 18.04 base image in dlc gpu image
- remove TODOs in 1.6.0 dlc gpu dockerfile and reduce parameters for data parallel integ test
- use base cuda 11 image for test dlc gpu image
- use 1.6.0 for gpu tests and disable horovod tests
- remove local data parallel integ test
- use sagemaker-training 3.7.0 and enable data parallel integ tests
- patch socket call and update flake8 violations
v2.3.0
Features
- Use MPIRunnerType
Bug Fixes and Other Changes
- Update main buildspec to only perform CPU integration tests
- Add GPU and unit test buildspecs
- Pin SageMaker version to less than v2
Documentation Changes
- improve training.py doc style
v2.2.1.post2
Testing and Release Infrastructure
- add issue templates
v2.2.1.post1
Documentation Changes
- remove confusing information from the Readme.
Testing and Release Infrastructure
- do not duplicate test dependencies in tox.ini
- Rename buildspec files.
v2.2.1.post0
Testing and Release Infrastructure
- Make docker folder read only, remove unused tests, rename test-toolkit/ -> test/.
v2.2.1
Bug Fixes and Other Changes
- Bump version of sagemaker-training for typing fix
v2.2.0
Features
- add Python 3.7 support
v2.1.1
Bug Fixes and Other Changes
- Pin Smdebug to the latest version (0.7.2)
v2.1.0
Features
- add Dockerfiles for PyTorch 1.5.0
v2.0.0
Breaking Changes
- Replace sagemaker-containers with sagemaker-training