Skip to content

[MXFP8/FP4-param-gather] Post processing after forced param AG in eval#4562

Merged
Phlip79 merged 10 commits into
NVIDIA:mainfrom
WanZzzzzz:qiyu/param_gather_eval_fix_main
May 22, 2026
Merged

[MXFP8/FP4-param-gather] Post processing after forced param AG in eval#4562
Phlip79 merged 10 commits into
NVIDIA:mainfrom
WanZzzzzz:qiyu/param_gather_eval_fix_main

Conversation

@WanZzzzzz

@WanZzzzzz WanZzzzzz commented Apr 30, 2026

Copy link
Copy Markdown
Contributor

What does this PR do ?

The same PR to dev has been merged: #4563
Fixes FP8/MXFP8/FP4 parameter-gather convergence when eval runs between training steps.

When eval disables forward pre-hooks, start_param_sync(force_sync=True) can complete parameter all-gather synchronously. In that path there is no async gather handle for the next train forward hook to wait on (line), so the usual post-all-gather processing was skipped in next train step. In eval, the post processing is also skipped if the job enables overlap_param_gather (line). With FP8 (blockwise scaling) or FP4 param gather, this can leave columnwise weight storage stale while rowwise storage has been refreshed, causing the next train backward to use staled weights. With MXFP8 param+reuse_grad_buff_for_mxfp8_param_ag, the AG'ed weights will not be copied(quantized) from param buffer to model weights, which is not correct.

In this PR we add post processing in bucket group's start_param_sync for synchronous gather, hence making sure the above cases are correctly handled.

Validated the fix on DSv3 proxy model pretraining for FP4 param gather:
image

⚠️ For major changes (either in lines of code or in its impact), please make sure to first share a design doc with the team. If you're unsure what's the best way to do so, contact the @mcore-oncall.

Issue tracking

For PRs from open-source community contributors:

  • New features: a linked issue is required. Please open a feature request and reference it here before submitting the PR.
  • Small updates (bug fixes, minor improvements): a linked issue is recommended and will accelerate the PR review process.

Linked issue:

Contribution process

Pre-checks

  • I have added relevant unit tests
  • I have added relevant functional tests
  • I have added proper typing to my code Typing guidelines
  • I have added relevant documentation
  • I have run the autoformatter.sh on my PR

Code review

Feel free to message or comment the @mcore-oncall to help accelerate your merge into main. The less complex your PR is, the faster it will be approved and merged!

All PRs start as draft. If you open a non-draft PR, it will be automatically converted to draft.

Step 1: Mark PR as "Ready for Review"

  1. When your PR is ready, click Ready for Review.
  2. An oncall reviewer is auto-assigned and expert reviewers are notified based on your changes.
    • Some PRs may jump straight to step 2. This is determined by .github/CODEOWNERS.

⚠️ Only mark as ready once merge-conflicts are resolved and the CI is passing.
Final Review might get declined if these requirements are not fulfilled.

Step 2: Final Review

For PRs that change megatron/core, once all expert reviewers have approved, the Final Review label is applied automatically and final reviewers are assigned.

For PRs outside megatron/core, this step is skipped.

Step 3: Approved

Once all required reviewers have approved, the Approved label is applied automatically.

Merge

Any member of mcore-engineers will be able to merge your PR.

For MRs into `dev` branch The proposed review process for `dev` branch is under active discussion.

MRs are mergable after one approval by either eharper@nvidia.com or zijiey@nvidia.com.

Signed-off-by: qiyuw <qiyuw@nvidia.com>
@WanZzzzzz WanZzzzzz requested review from a team as code owners April 30, 2026 20:19
@copy-pr-bot

copy-pr-bot Bot commented Apr 30, 2026

Copy link
Copy Markdown

This pull request requires additional validation before any workflows can run on NVIDIA's runners.

Pull request vetters can view their responsibilities here.

Contributors can view more details about this message here.

@svcnvidia-nemo-ci svcnvidia-nemo-ci marked this pull request as draft April 30, 2026 20:19
@github-actions

Copy link
Copy Markdown
Contributor

This PR has been automatically converted to draft because all PRs must start as drafts.

When you are ready for review, click Ready for Review to begin the review process. This will:

  1. Add the oncall reviewer (optional reviewer)
  2. Add required review teams based on your changes

See the contribution guide for more details.

@WanZzzzzz WanZzzzzz marked this pull request as ready for review April 30, 2026 20:31
@svcnvidia-nemo-ci svcnvidia-nemo-ci added the Final Review PR is in the "final review" stage label Apr 30, 2026
@svcnvidia-nemo-ci svcnvidia-nemo-ci requested a review from a team April 30, 2026 20:32
WanZzzzzz added 6 commits May 8, 2026 11:13
Signed-off-by: qiyuw <qiyuw@nvidia.com>
Signed-off-by: qiyuw <qiyuw@nvidia.com>
Signed-off-by: qiyuw <qiyuw@nvidia.com>
Signed-off-by: qiyuw <qiyuw@nvidia.com>
Signed-off-by: qiyuw <qiyuw@nvidia.com>
Signed-off-by: qiyuw <qiyuw@nvidia.com>
@WanZzzzzz WanZzzzzz changed the title Update colwise data after synced param AG [MXFP8/FP4-param-gather] Post processing after forced param AG in eval May 8, 2026
@Phlip79 Phlip79 added the 26.06 label May 12, 2026
Signed-off-by: qiyuw <qiyuw@nvidia.com>
@WanZzzzzz

Copy link
Copy Markdown
Contributor Author

/ok to test b7a1243

@WanZzzzzz WanZzzzzz requested a review from a team as a code owner May 21, 2026 21:10
@deepakn94

Copy link
Copy Markdown
Contributor

/claude review

@claude claude Bot left a comment

Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM

@svcnvidia-nemo-ci svcnvidia-nemo-ci added the Final Review PR is in the "final review" stage label May 22, 2026
@Phlip79

Phlip79 commented May 22, 2026

Copy link
Copy Markdown
Member

/ok to test a853e77

@svcnvidia-nemo-ci svcnvidia-nemo-ci added Approved All necessary approvals have been made and removed Final Review PR is in the "final review" stage labels May 22, 2026
@Phlip79 Phlip79 added this pull request to the merge queue May 22, 2026
@svcnvidia-nemo-ci

Copy link
Copy Markdown

🔄 Merge queue validation started!

You can track the progress here: https://github.com/NVIDIA/Megatron-LM/actions/runs/26311255690

@svcnvidia-nemo-ci

Copy link
Copy Markdown

🔄 Merge queue validation started!

You can track the progress here: https://github.com/NVIDIA/Megatron-LM/actions/runs/26312657518

Merged via the queue into NVIDIA:main with commit 08bad7a May 22, 2026
82 of 84 checks passed
santhnm2 pushed a commit to santhnm2/Megatron-LM that referenced this pull request May 26, 2026
Victarry added a commit to yanring/Megatron-LM that referenced this pull request May 27, 2026
* origin/main: (50 commits)
  Drain predecessor reduce-scatter at dispatch time (NVIDIA#4940)
  ci: Add allow_failure flag to gpt and moe recipes that are failing in nightlies (NVIDIA#4905)
  fix(tests): initialize num_microbatches calculator in vision cudagraph tests (NVIDIA#4986)
  test: re-enable test_pp2_create_cudagraphs_first_stage on TE 2.15+ (NVIDIA#4985)
  ci: Add support for MBridge job gating based on PR labels  (NVIDIA#4926)
  test(ci): re-enable 8experts2parallel_multi_dist_optimizer_instances_1node (NVIDIA#4984)
  test: re-enable paged stashing MoE tests (NVIDIA#4978)
  Fix elastification unwrap_model import (NVIDIA#4972)
  Avoid offsetting functional test master port (NVIDIA#4973)
  test: enable NVTE_CUTEDSL_FUSED_GROUPED_MLP via pytest fixture (NVIDIA#4931)
  chore(beep boop 🤖): Bump  (main) (2026-05-25)
  test(release): add release goldens for deepseekv3/nemotron3 and set tp2pp2 exit-interval (NVIDIA#4932)
  Fix `get_batch` return order to ignore BlendedDataset provenance fields (NVIDIA#4952)
  ci: restore perf test torchrun logs (NVIDIA#4951)
  Various training utils (NVIDIA#4872)
  ci: Update training script paths in BERT and T5 (NVIDIA#4939)
  [MXFP8/FP4-param-gather] Post processing after forced param AG in eval (NVIDIA#4562)
  Fix mxfp8 param gather numerical issue when DP overlap is off (NVIDIA#4800)
  Add TEFusedDenseMLP for Dense+Grouped GEMM fusion on SM100+ (NVIDIA#4318) (NVIDIA#4786)
  Fix paged stashing test submodules lookup (NVIDIA#4925)
  ...

# Conflicts:
#	megatron/training/training.py
janEbert pushed a commit to janEbert/Megatron-LM that referenced this pull request Jun 2, 2026
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

26.06 Approved All necessary approvals have been made complexity: low

Projects

None yet

Development

Successfully merging this pull request may close these issues.

6 participants