Releases: aws/sagemaker-tensorflow-training-toolkit
Releases · aws/sagemaker-tensorflow-training-toolkit
v2.2.6
Bug Fixes and Other Changes
- smdebug 0.7.1
- Added marker to skip on pipeline
v3.1.5
Bug Fixes and Other Changes
- Add default timeout
- install experiments with python 3
- add py2 fixture for tf2.x test
v2.2.5
Bug Fixes and Other Changes
- install smexperiments when python >= 3.6
- SM integration test for TF 1.x
- upgrade to latest sagemaker-experiments
- Added pytest fixture
v3.1.4
Bug Fixes and Other Changes
- Add smdebug to TF 2.x
- remove python 3.6 specific f strings
- Updating LD_LIBRARY_PATH for tf-2.0 Dockerfile.gpu
v2.2.4
v3.1.3
Bug Fixes and Other Changes
- install SageMaker Python SDK into Python 3 images
- Add sagemaker-experiments
v2.2.3
Bug Fixes and Other Changes
- update smdebug wheel
- Update smdebug to 0.7.0 - TF 1.15.2
- install SageMaker Python SDK into Python 3 images
v2.2.2.post0
Testing and Release Infrastructure
- fix PR build
v3.1.2
Bug Fixes and Other Changes
- update sagemaker-tensorflow version to 2.1
Testing and Release Infrastructure
- add pipemode integ tests.
v2.2.2
Bug Fixes and Other Changes
- copy all tests to test-toolkit folder.