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chore: Update nightly tests golden values - #4805

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balasaajay merged 1 commit into
NVIDIA:mainfrom
balasaajay:update-nightly-golden
May 15, 2026
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chore: Update nightly tests golden values#4805
balasaajay merged 1 commit into
NVIDIA:mainfrom
balasaajay:update-nightly-golden

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What does this PR do ?

Update nightly test golden values. Needed as we updated pytorch and TE versions for the release.

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@balasaajay
balasaajay requested a review from chtruong814 May 14, 2026 18:56
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This pull request requires additional validation before any workflows can run on NVIDIA's runners.

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@balasaajay

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/ok to test 7b3a0cc

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🔄 Merge queue validation started!

You can track the progress here: https://github.com/NVIDIA/Megatron-LM/actions/runs/25890482190

Merged via the queue into NVIDIA:main with commit a53107c May 15, 2026
195 checks passed
@balasaajay
balasaajay deleted the update-nightly-golden branch May 15, 2026 03:09
SpencerGarnets added a commit to ai-blaise/Megatron-LM that referenced this pull request May 16, 2026
Upstream main tip: f92a207

Pulled commits:

- f92a207 Update copy-pr-bot.yaml [skip ci]

- b3b6719 ci: tolerate git-gc race in /home/runner chown after checkout (NVIDIA#4808)

- 9b4074b Inference: Optimize Prefill Engine Steps for Nemotron (NVIDIA#4764)

- a53107c chore: Update nightly tests golden values (NVIDIA#4805)

- e9a0930 ci: Update workflow to use same commit for build+test (NVIDIA#4787)

- 266562f Update owners (NVIDIA#4794)

- 98031e1 Bump nvidia-modelopt>=0.44.0 (NVIDIA#4803)

- d167123 fix tokenizers in respect to newer transformers (NVIDIA#4608)

- dbfc96b Use Protocols to type-check linear_proj submodules of Attention (NVIDIA#3434)

Conflict resolutions:

- .github/CODEOWNERS: --theirs (upstream granular team mapping)

- megatron/core/transformer/attention.py: composed -- kept ours StreamBP imports, dropped dead ModuleSpec/build_module import (replaced by Protocol in NVIDIA#3434), kept ours attn_proj_manager pattern because our fine_grained_activation_offload.py keeps group_offload API while upstream split to static group_commit, but adopted apply_module(self.linear_proj) wrapper from NVIDIA#3434

- megatron/core/transformer/multi_latent_attention.py: same apply_module+attn_proj_manager composition; took ours ChunkRange parameter for StreamBP plus upstream BaseInferenceContext type annotation

- pyproject.toml: bumped modelopt >=0.44 (upstream); kept transformer-engine[pytorch,core_cu13]>=2.9.0a0,<2.12.0 pin (custom for CUDA 13 / SM100)

- uv.lock: --ours; modelopt bump is non-breaking. uv lock regenerate blocked by stale /home/sjpat/wheelhouse torchcomms path (pre-existing).

Gates:

- git diff --check: clean

- conflict markers: none

- py_compile (15 changed .py files): OK

- attention.py + multi_latent_attention.py import OK

- indexcache: 27/28 pass (same single GPU-env failure as pre-merge base)

- transformer gdn/mtp/moe suite: 53 failed / 7 passed / 55 skipped / 5 errors -- identical to base (all failures are cudaErrorDevicesUnavailable from sglang occupying all H200s)

- 2-rank torchrun smoke: blocked (no free GPUs)

Custom preserved: StreamBP (megatron/core/transformer/streambp.py + tests/unit_tests/transformer/test_streambp.py + tools/streambp_prod_verify.py), IndexCache config + NVFP4 indexer, HISA topk1024 backward, emerging_optimizers v0.2.0 pin, mHC/MTP/MoE composition.
Victarry pushed a commit to yanring/Megatron-LM that referenced this pull request May 18, 2026
* origin/main: (138 commits)
  Refactor CUDA graph API: decompose cuda_graph_scope into full_iteration impl, inference scope, and per-layer capture modules (NVIDIA#4292)
  Add high-priority A2A stream and HybridEP preprocessing SMs (NVIDIA#4694)
  add is_torch_min_version in fsdp src (NVIDIA#4812)
  [Main][feat] Support A2A Overlap for Megatron-FSDP (NVIDIA#3797)
  Reorder mtp_post_process after attention backward in 1F1B schedule plan (NVIDIA#4695)
  [fix] Use MSC for checking checkpoint existence (NVIDIA#4251)
  Combine GEMM + SwiGLU fused MLP PRs (3890, 4071, 4095, 4219, 4311, 4324) → main (NVIDIA#4636)
  Strengthen test_checkpoint to verify distributed checkpoint behavior (NVIDIA#4711)
  Disable MSC by default; opt in via --enable-msc (NVIDIA#4629)
  additional tests for nvrx (NVIDIA#4522)
  Update copy-pr-bot.yaml [skip ci]
  ci: tolerate git-gc race in /home/runner chown after checkout (NVIDIA#4808)
  Inference: Optimize Prefill Engine Steps for Nemotron (NVIDIA#4764)
  chore: Update nightly tests golden values (NVIDIA#4805)
  ci: Update workflow to use same commit for building docker image and running tests (NVIDIA#4787)
  Update owners (NVIDIA#4794)
  Bump nvidia-modelopt>=0.44.0 (NVIDIA#4803)
  fix tokenizers in respect to newer transformers (NVIDIA#4608)
  Use Protocols to type-check linear_proj submodules of Attention (NVIDIA#3434)
  Fix recompute checkpointing + training CGs (NVIDIA#3919)
  ...

# Conflicts:
#	megatron/core/transformer/moe/moe_utils.py
janEbert pushed a commit to janEbert/Megatron-LM that referenced this pull request Jun 2, 2026
yhgalaxy pushed a commit to yhgalaxy/Megatron-LM that referenced this pull request Jun 17, 2026
Signed-off-by: yhgalaxy <yhgalaxy@outlook.com>
jon-barker pushed a commit to jon-barker/Megatron-LM that referenced this pull request Jul 10, 2026
Signed-off-by: Jon Barker <jbarker@aws-cmh-slurm-1-vscode-02.cm.cluster>
terminator123 pushed a commit to 021ai/Megatron-LM that referenced this pull request Aug 3, 2026
svcnvidia-nemo-ci pushed a commit to dimapihtar/Megatron-LM that referenced this pull request Aug 4, 2026
Signed-off-by: Dmytro Pykhtar <dpykhtar@nvidia.com>
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3 participants