CHANGELOG.md

CHANGELOG

0.2.1 (October 05, 2020)

PyTorch Elastic

NOTE: As of torch-1.7 and torchelastic-0.2.1 torchelastic will be bundled into the main pytorch docker image. torchelastic/examples will be available post torch-1.7 release since its base image will now be pytorch/pytorch

• Torchelastic agent:

  • run_id available to workers as TORCHELASTIC_RUN_ID environment variable
  • Allow max_restarts=0
  • Worker exit barrier added to torchelastic agent to protect against variances in worker finish times
  • Improvements to error handling and propagation from torchelastic agent
  • Enable fault handlers on worker processes to get torch C++ stack traces

• torchelastic.distributed.launch CLI:

  • New option --role to allow users to set worker role name
  • CLI options can now be set via environment variables (e.g. PET_NNODES="1:2")

• Project:

  • Upgraded to Python 3.8
  • Tests moved to test directory within the respective modules
  • Use Pyre

• Deprecated:

  • pytorch/elastic Docker image

• Experimental:

  • Training Session Manager (TSM) with localhost scheduler
  • torchelastic.multiprocessing

0.2.0 (April 29, 2020)

PyTorch Elastic

• Separate infrastructure related work from the user script. DesignDoc
• Events API

0.1.0rc1 (December 06, 2019)

PyTorch Elastic

• First release torchelastic v0.1.0rc1 (experimental)