Skip to content

Releases: awslabs/sagemaker-debugger

Release v1.0.9

07 May 23:09
d604e9f
Compare
Choose a tag to compare

Implement error handling for TF2 (#483)
Implement error handling for PyTorch (#484)
Fix bug in TF2 error handling (#489)

Release v1.0.8

01 Apr 07:50
8a1bf56
Compare
Choose a tag to compare

bugfix for timelinewriter #460

Release v1.0.7

22 Mar 22:36
b45b20f
Compare
Choose a tag to compare
  • Autoconfigure losses collection for xgboost #462
  • Reduce log level in pytorch hook #465

Release v1.0.6

12 Mar 04:54
ab96f6d
Compare
Choose a tag to compare

Adding support for pytorch 1.8 (#459)
Revert accidental commits to the master repo. (#458)
Pre commit build (#457)
[bugfix] Do not wrap models when the hook has a default_config (#456)

Release v1.0.5

24 Feb 05:50
c5296cf
Compare
Choose a tag to compare

SMDDP should use size() and rank() for TF jobs (#451)

Release v1.0.4

22 Feb 19:11
64fb95f
Compare
Choose a tag to compare
Filter Repeating Logs (#449)

Release v1.0.3

22 Feb 19:10
f3b31a6
Compare
Choose a tag to compare
Split inputs to save nested structures (#444)

Release v1.0.2

28 Jan 05:02
99282cd
Compare
Choose a tag to compare
  • Updated tests to support TF 2.4

Release v1.0.1

15 Dec 01:35
Compare
Choose a tag to compare

Supporting sagemaker debugger functionality for the pytorch 1.7.1

1.0.0

08 Dec 17:03
Compare
Choose a tag to compare

This version introduces profiling functionality to the sagemaker-debugger