1. 03 Apr, 2023 1 commit
  2. 22 Feb, 2023 1 commit
  3. 24 Sep, 2022 1 commit
  4. 23 Sep, 2022 3 commits
  5. 16 May, 2022 2 commits
  6. 09 May, 2022 1 commit
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  11. 24 Nov, 2021 1 commit
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  17. 16 Aug, 2021 1 commit
  18. 30 Jul, 2021 1 commit
    • Deepak Narayanan's avatar
      Support for pipeline parallelism in T5 model · 46c74b4c
      Deepak Narayanan authored
      - Accumulate encoder hidden state gradient to handle skip connection
      - Correctly compute the number of layers in encoder / decoder for T5 model
      - Ensure e weights are initialized the same way in embeddings
      - Synchronize embedding gradients across encoder and decoder for T5 model
      - Support for checkpoint loading and saving
      46c74b4c
  19. 02 Jul, 2021 1 commit
  20. 18 Mar, 2021 1 commit
  21. 09 Feb, 2021 1 commit
    • Deepak Narayanan's avatar
      Interleaved pipeline execution and code refactoring · dd889062
      Deepak Narayanan authored
      - Split a model's computation into multiple virtual stages as needed,
      and schedule communication correctly between these virtual stages
      - Move schedule code into `schedules.py` and communication code into
      `p2p_communication.py`
      - Use hyphens instead of spaces in all time logging for consistency
      - Factor out code in megatron/training.py into helper functions
      - Refactor evaluate() function: make it use forward_backward_schedule
      functions
      dd889062
  22. 26 Jan, 2021 1 commit
  23. 30 Dec, 2020 1 commit
  24. 19 Dec, 2020 1 commit
  25. 12 Nov, 2020 3 commits
  26. 01 Oct, 2020 1 commit
  27. 02 Sep, 2020 2 commits
  28. 27 Aug, 2020 1 commit
  29. 07 Aug, 2020 2 commits
  30. 06 Aug, 2020 1 commit