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[MXFP8/FP4-param-gather] Post processing after forced param AG in eval - #4563

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ericharper merged 6 commits into
NVIDIA:devfrom
WanZzzzzz:qiyu/param_gather_eval_fix_dev
May 7, 2026
Merged

ericharper merged 6 commits into
NVIDIA:devfrom
WanZzzzzz:qiyu/param_gather_eval_fix_dev

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@WanZzzzzz

@WanZzzzzz WanZzzzzz commented Apr 30, 2026 •

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What does this PR do ?

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

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Signed-off-by: qiyuw <qiyuw@nvidia.com>
@WanZzzzzz
WanZzzzzz requested review from a team as code owners April 30, 2026 20:34
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WanZzzzzz added 2 commits May 6, 2026 16:20
Signed-off-by: qiyuw <qiyuw@nvidia.com>
Signed-off-by: qiyuw <qiyuw@nvidia.com>
@WanZzzzzz WanZzzzzz changed the title Update colwise data after param AG in eval [MXFP8/FP4-param-gather] Post processing after forced param AG in eval May 6, 2026
@ericharper
ericharper enabled auto-merge May 6, 2026 23:40
WanZzzzzz added 3 commits May 7, 2026 13:29
Signed-off-by: qiyuw <qiyuw@nvidia.com>
Signed-off-by: qiyuw <qiyuw@nvidia.com>
Signed-off-by: qiyuw <qiyuw@nvidia.com>
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/ok to test da05c93

@ericharper
ericharper added this pull request to the merge queue May 7, 2026
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🔄 Merge queue validation started!

You can track the progress here: https://github.com/NVIDIA/Megatron-LM/actions/runs/25525393569

Merged via the queue into NVIDIA:dev with commit 4401ac8 May 7, 2026
64 of 65 checks passed
Phlip79 added a commit that referenced this pull request May 11, 2026
Brings forward six regressions previously fixed manually on PR #4659
(commits 676f3fa, d019432, 2207908) that the new sync of main
into dev re-introduced, plus one further dropped import that surfaced
as a runtime NameError on gpt_dynamic_inference CI:

- transformer_layer.py: add input_ids=None to _forward_mlp_router so the
  body's input_ids reference (line 2103) resolves; callers already pass
  input_ids from _forward_mlp.
- param_and_grad_buffer.py: replace inline fp8_params else-branch in
  finish_param_sync with self._post_param_sync() to match the three
  other call sites and dev's refactor (PR #4563).
- moe_layer.py: call _maybe_record_overload_factor() on dispatched_input
  before the routed-experts conditional, as on dev.
- token_dispatcher.py: pass
  num_sms_preprocessing_api=self.config.moe_hybridep_num_sms_preprocessing
  to _HybridEPManager constructor.
- datasets/readme.md: restore the dev-only "Packing Scheduler"
  documentation section before main's "Offline cache preparation".
- gpt_dynamic_inference_with_coordinator.py: restore
  `from megatron.training.arguments import parse_and_validate_args`
  import; the call at line 216 raised NameError on the
  gpt_dynamic_inference_tp2_pp2_dp2_583m_logitsmatch_zmq CI job.

Verified: ast.parse OK on all 5 changed .py files; ruff F821 reports
only pre-existing TYPE_CHECKING-guarded names; CODEOWNERS and the
pyproject.toml/uv.lock/Dockerfile.ci.dev triple unchanged from
origin/dev.
Phlip79 added a commit that referenced this pull request May 11, 2026
Brings forward six regressions previously fixed manually on PR #4659
(commits 676f3fa, d019432, 2207908) that the new sync of main
into dev re-introduced, plus one further dropped import that surfaced
as a runtime NameError on gpt_dynamic_inference CI:

- transformer_layer.py: add input_ids=None to _forward_mlp_router so the
  body's input_ids reference (line 2103) resolves; callers already pass
  input_ids from _forward_mlp.
- param_and_grad_buffer.py: replace inline fp8_params else-branch in
  finish_param_sync with self._post_param_sync() to match the three
  other call sites and dev's refactor (PR #4563).
- moe_layer.py: call _maybe_record_overload_factor() on dispatched_input
  before the routed-experts conditional, as on dev.
- token_dispatcher.py: pass
  num_sms_preprocessing_api=self.config.moe_hybridep_num_sms_preprocessing
  to _HybridEPManager constructor.
- datasets/readme.md: restore the dev-only "Packing Scheduler"
  documentation section before main's "Offline cache preparation".
- gpt_dynamic_inference_with_coordinator.py: restore
  `from megatron.training.arguments import parse_and_validate_args`
  import; the call at line 216 raised NameError on the
  gpt_dynamic_inference_tp2_pp2_dp2_583m_logitsmatch_zmq CI job.

Verified: ast.parse OK on all 5 changed .py files; ruff F821 reports
only pre-existing TYPE_CHECKING-guarded names; CODEOWNERS and the
pyproject.toml/uv.lock/Dockerfile.ci.dev triple unchanged from
origin/dev.

This branch was previously deployed

1 inactive deployment
test — da05c937 Deployed May 7, 2026 by copy-pr-bot[bot] via cicd-wait-in-queue #13032
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4 participants