[Deps] Use cu13 extra for nvidia cutlass dsl#25576
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Switch nvidia-cutlass-dsl to the cu13 extra and update the pin to 4.5.1 for the CUDA 13 default environment.
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Co-authored-by: Mohammad Miadh Angkad <176301910+mmangkad@users.noreply.github.com>
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PR sgl-project#25576 bumped nvidia-cutlass-dsl[cu13] from 4.5.0 to 4.5.1. The bump exposed a latent file-level conflict between -libs-base and -libs-cu13 (both written by the additive [cu13] extra) as a hard GPUModuleOp TypeError on H100: -libs-cu13's pybind11 binding changed to the new MLIR-style ((operation: object)) without a matching bump to the Python wrapper in nvidia-cutlass-dsl, so loading -libs-cu13's .so makes the wrapper's old-style super().__init__() call fail. Two changes: 1. Revert the version bump (4.5.1 -> 4.5.0). At 4.5.0 both .so files expose a compatible binding, so the same coexistence no longer crashes. This removes the active TypeError on H100 and on the CUDA-13 Docker image for non-Blackwell users. 2. Add fix_cutlass_dsl_libs() to ci_install_dependency.sh, called from main() after download_flashinfer_cache. The function picks the right libs package per GPU family even at 4.5.0 to avoid two independent regressions that the silent conflict could still hit: Blackwell (IS_BLACKWELL=1, CU13): Purge -libs-base, force-reinstall -libs-cu13 so its files take precedence. -libs-base is CUDA-12.9-built and lacks the sm_110 arch alias that GB300/B200 need at cutlass import time. Non-Blackwell CU13 (H100, H200): Purge -libs-cu13, force-reinstall -libs-base. -libs-cu13 carries a CUDBG_EXCEPTION_WARP_ILLEGAL_ADDRESS regression in LoRA CUDA- graph capture on sm_90 (sgl-project#25743 / reverted by sgl-project#25756). Non-CU13: no-op (only -libs-base ever installed).
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Revert the version bump from PR sgl-project#25576. At 4.5.1, -libs-cu13's pybind11 binding changed to new MLIR-style ((operation: object)) without a matching bump to the Python wrapper in nvidia-cutlass-dsl, exposing the latent file-level conflict between -libs-base and -libs-cu13 (both written by the additive [cu13] extra) as a hard GPUModuleOp TypeError at kernel-compile time on CU13 runners. At 4.5.0 both .so files expose a compatible binding, so the same coexistence is silent and CI was empirically green on H100 and Blackwell during the post-sgl-project#25756, pre-sgl-project#25576 window. Going back to 4.5.0 restores that state. Supersedes sgl-project#25935 (which proposed the same revert but was closed).
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- Use "${REPO_ROOT}/python/pyproject.toml" instead of relative path so the
version probe doesn't depend on the working directory the script is
launched from (per gemini-code-assist review).
- Bump nvidia-cutlass-dsl[cu13] 4.5.0 -> 4.5.1 now that the wheel-mix
TypeError is mitigated by force_reinstall_cutlass_dsl_libs_cu13. This
re-applies sgl-project#25576 which was rolled back in sgl-project#25938 only because of the
install-order bug.
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May 21, 2026
- Use "${REPO_ROOT}/python/pyproject.toml" instead of relative path so the
version probe doesn't depend on the working directory the script is
launched from (per gemini-code-assist review).
- Bump nvidia-cutlass-dsl[cu13] 4.5.0 -> 4.5.1 now that the wheel-mix
TypeError is mitigated by force_reinstall_cutlass_dsl_libs_cu13. This
re-applies #25576 which was rolled back in #25938 only because of the
install-order bug.
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Summary
Add
[cu13]extra tonvidia-cutlass-dsldependency since we already default to CUDA 13 and optionally upgrade to 4.5.1Should fix #25564
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Latest PR Test (Base): ✅ Run #26077315178⚠️ Not enabled -- add
Latest PR Test (Extra):
run-ci-extralabel to opt in.