Releases: aws/sagemaker-pytorch-training-toolkit
Releases · aws/sagemaker-pytorch-training-toolkit
v1.3.3
Bug Fixes and Other Changes
- change miniconda installation in 1.4.0 Dockerfiles
Testing and Release Infrastructure
- parallelize SageMaker integ test runs
- remove (unused) model_fn from training scripts
v1.3.2
Bug Fixes and Other Changes
- bump smdebug version
Testing and Release Infrastructure
- add requirements.txt integ test
v1.3.1
Bug Fixes and Other Changes
- upgrade pillow etc. to fix safety issues
- Upgrade sagemaker-containers and test with more than 1 epoch
v1.3.0
Features
- Install toolkit from PyPI.
Bug Fixes and Other Changes
- upgrade sagemaker-containers to 2.8.2
- Install jupyter_client 5.3.4 in advanced for py2 gpu image
- update smdebug
Testing and Release Infrastructure
- run test-toolkit unit tests for release
- run build steps only when necessary.
- refactor toolkit tests.
v1.2.4
Bug Fixes and Other Changes
- install sm experiments always when python 3.6 or greater
v1.2.3
Bug Fixes and Other Changes
- Update smdebug to 0.7.0
- install sagemaker-experiments package only for 3.6
v1.2.2
Bug Fixes and Other Changes
- upgrade to latest sagemaker-experiments
- install SageMaker Python SDK into Python 3 images
v1.2.1
Bug Fixes and Other Changes
- Install awscli from pypi instead of conda for PyTorch containers
v1.2.0
Features
- Remove unnecessary dependencies.
Bug Fixes and Other Changes
- Fix python 2 tox dependencies.
- copy all tests to test-toolkit folder.
- Update license URL
- Adding changes for PyTorch 1.4.0 DLC
v1.1.0
Features
- Add release to PyPI. Change package name to sagemaker-pytorch-training.
Bug Fixes and Other Changes
- Fix flake8 erros. Add flake configuration to run during PR.
- Add twine section to tox.
- Update build artifacts
- update: Bump awscli version and constrain spyder on conda
- update: bump smdebug version to 0.5.0.post0
- Create init.py
- run local GPU tests for Python 3
- update: Update buildspec for PyTorch 1.3.1
- update copyright year in license header
- Added changes for DLC 2.1 with PyTorch v1.3.1
- Remove stale-bot config
- upgrade sagemaker-containers to 2.5.11
- upgrade pillow to 6.2.0
- use SageMaker Containers' ProcessRunner for executing the entry point
- use regional endpoint for STS in builds
- update instance type region availability.
- Update Dockerfile.gpu
- Removing extra packages to optimize space
- Adding function to skip test for py2 verison
- Installing tochvision from official pip wheel
- Add /bin/bash as default CMD
- Pytorch 1.2 py2 py3 dockerfiles added
- Add wait on entrypoint
- Add entrypoint script
- split training and serving logic
Testing and Release Infrastructure
- properly fail build if has-matching-changes fails
- properly fail build if has-matching-changes fails