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/ci run |
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✅ Triggered Buildkite CI #92476 for commit |
Select the compatible 100f runtime compiler target on physical SM107 devices while preserving physical capability reporting. Apply the dependency patch during CMake configuration and recognize an already-applied patch. Co-authored-by: Codex <noreply@openai.com> Signed-off-by: Lisa Wang <liswang@nvidia.com>
The SM107 runtime compiler-target workaround is now merged into vllm-project/DeepGEMM in PR #23. Remove the local patch before updating the dependency pin. Co-authored-by: Codex <noreply@openai.com> Signed-off-by: Lisa Wang <liswang@nvidia.com>
Pin both the CMake dependency and standalone installer to 550036ad85e8c9af43d6da983af0a68e0d417888, including the SM107 runtime target workaround merged in vllm-project/DeepGEMM#23. The original vLLM patch was reverted before this update. Co-authored-by: Codex <noreply@openai.com> Signed-off-by: Lisa Wang <liswang@nvidia.com>
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Preserve the existing fork feature descriptions and document SM120 page_kv=32 support, NVFP4 Mega MoE updates, and the temporary SM107 JIT target workaround with its upstream references. Co-authored-by: Codex <noreply@openai.com> Signed-off-by: Lisa Wang <liswang@nvidia.com>
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| # activations, plus the CUDA 12.x layout header fix from vllm-project/DeepGEMM#12, | ||
| # SM120 page_kv=32 support, NVFP4 Mega MoE updates, and the temporary SM107 | ||
| # JIT target workaround from vllm-project/DeepGEMM#23 (see deepseek-ai/DeepGEMM#461). | ||
| DEEPGEMM_GIT_REF="550036ad85e8c9af43d6da983af0a68e0d417888" |
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not an issue with this PR but we should make this a single-source of truth so these don't need to stay in sync
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/ci run |
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✅ @lisawym, CI is now available for this PR.
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✅ Triggered Buildkite CI #92627 for commit |
Overview
Bump both DeepGEMM pins to
550036ad, which includes the SM107 runtime JIT workaround merged in vllm-project/DeepGEMM#23. This addresses Rubin startup failures tracked in deepseek-ai/DeepGEMM#461.Claims
100fJIT target while preserving device capability reporting and other architectures' compiler targets.Validation
550036adand initialized the expected CUTLASS/DeepJIT submodules100f; SM90, SM100, SM103, SM120, SM121 and a synthetic SM108 were preservedCommands run for the changed files:
Prior Rubin startup and serving checks used a custom build with the same JIT override at an earlier dependency revision, as described in DeepGEMM#23. The combined revision has not received a full CUDA build, GPU serving smoke test, or model accuracy evaluation in this update. Fresh GPU validation and CI are still needed; no performance improvement is claimed.
Details
The pinned CUTLASS 4.2.1 headers lack native SM107 feature guards. DeepGEMM#23 temporarily selects the compatible SM100 family JIT target for physical SM107 devices. Its removal requires validated native SM107 support in DeepGEMM.
The bump from
e1f418calso includes DeepGEMM #10/#14 (SM120) and #17/#19/#22 (NVFP4 Mega MoE). Their GPU paths need regression coverage. Related vLLM#59385 proposes an earlier pin for SM120 page-32 support; this revision also includes the SM107 fix.The original vLLM patch and its application logic have been reverted. Validate using a fresh dependency checkout: CMake can reuse an existing
_deps/deepgemm-src, and an externally installeddeep_gemmcan override the vendored copy.AI assistance: Codex assisted with implementation, host checks, review, and PR preparation.
Pull Request Checklist
I used vLLM's
/pr-checklistskill. (Mandatory for agents, optional for humans).AI assistance was used during the creation of this PR.
Design Fit: Minimizes impact on core components, reuses existing functionality, and justifies added complexity.
Testing and Validation: Validates the change and ensures any added tests are meaningful and reliable, with CI coverage or documented CI resource constraints and validation performed outside CI.
Code Quality and Style: Keeps code and comments clear and concise, and updates relevant documentation and examples.
Pull Request Contents: Includes a brief summary and relevant links, supports claims with evidence, explains root causes and implementation trade-offs, and follows the contributing guide.