Releases: awslabs/sagemaker-debugger
Releases · awslabs/sagemaker-debugger
fix sagemaker model parallel lib segment fault by removing horovod import
Increase version threshold for PyTorch 2.0
refactor: update pytorch version threshold to 3.0.0 (#658) * refactor: update pytorch version threshold to 3.0.0 * refactor: bump version * style: add newline --------- Co-authored-by: Shibo Xing <[email protected]>
Pandas 2.0 support
- Updates Pandas syntax to support Pandas 2.0
Minor importing issue fix
Fix: fix importing tensorflow data type in pytorch hook issue (#654) * fix tf 212 and coe minor issues * version bump
tensorflow 2.12 support and COE fix
fix: smp will not be imported if not specified by user (#651) * fix: smp will not be imported if not specified by user * fix: add pipeline_parallel_degree for smp after v1.60 * remove tf related model parallel vars * version bump
Removed time string in version tag
- Help unblock xgboost container release
Fix XGBoost hook for xgboost version <= 1.7
- Create new XGBoost hook for its new callback since xgb v1.3
- Adapt xgboost category column since xgb v1.5
- Adapt xgboost rabit package deprecation since xgb v1.7
Support tensorflow 2.9 re-release
- fixed embedding layer gradient collection feature
Support tensorflow 2.11 release
Changes in both debugger and profiler sides to support tensorflow 2.11 changes
Debugger:
- Removed a ZCC test
- Replacing optimizers tensorflow2 tests with legacy ones according to breaking changes in tensorflow 2.11 optimizers
Profiler:
- Skipping some tests according to breaking changes in tensorflow 2.11
trace.json
file generation
Other:
- Replacing deprecated data types in numpy
fix tensorflow 2.11 test failing
1.0.23 bump the version to 1.0.23 (#627)