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…spatchers `CPUModelRunner._postprocess_triton` swaps Triton kernels for their C++ CPU implementations when Triton is unavailable, which is the production path on arm64 and macOS (`docker/Dockerfile.cpu` builds triton-cpu only for amd64). vllm-project#56323 moved the sampling and DFlash kernels behind `triton_kernel_dispatcher_with_warmup`, which captures the kernel on the dispatcher instance at import time and launches `self.kernel`. Three of the patches were updated to assign `.kernel`; six were left rebinding the module-level kernel name, which nothing reads at call time any more, so those fallbacks were never installed. Point the remaining six at the dispatchers, matching the three that were already correct. The `dflash` module `setattr` block is dropped because `dflash.py` imports and calls the dispatcher rather than the kernel name; it was the only user of `import sys` in this file. Add a regression test covering all nine dispatchers, which fails on the unpatched module-level assignments. Signed-off-by: Iyed Sebai <iyed.se1ai@gmail.com>
… names The dispatcher binds each dispatch input to a kernel argument named `name`, `name_ptr`, `NAME` or `NAME_PTR` (`_launch_binding_plan`). Two CPU shims use names that match none of those, so the fallback raises `TypeError` for a missing positional argument once it is installed: - `_expand_kernel_impl` took `input_val`; the dispatch input is `input`. - `_eagle_step_slot_mapping_metadata_kernel_impl` took `stride`; the dispatch input is `block_table_stride`, and that dispatch passes no launch kwargs. Rename both to the dispatch argument names so the launch binds. Signed-off-by: Iyed Sebai <iyed.se1ai@gmail.com>
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Verified on a completed arm64 build — and a sequencing warningMy native build has finished, so I can replace the "not tested" caveat with real execution, and I found something reviewers need before merging this. Build: 1. The regression test, now executed against the compiled extensionUnmodified With this PR: 2.
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Signed-off-by: Iyed Sebai <iyed.se1ai@gmail.com>
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Superseded by #43048 ([Feature] Triton kernel dispatcher), merged today. Closing. #43048 removes So the failure this PR fixed — patches rebinding a module global the dispatcher One thing that outlives this PR, for anyone landing on it from the CPU side: Thanks @wangxiyuan — the dispatcher is a much better fix than retargeting the |
Purpose
Fixes #58214.
CPUModelRunner._postprocess_tritoninstalls C++ CPU fallbacks for Triton kernels when Triton is unavailable — the production path onlinux/arm64and macOS, sincedocker/Dockerfile.cpubuildstriton-cpuonly forTARGETARCH=amd64. CI's CPU lane is x86, where Triton is present, so these fallbacks are never exercised there.Two independent defects stop them working:
1. Six patches never take effect. #56323 (
aed894c19) moved the sampling and DFlash kernels behindtriton_kernel_dispatcher_with_warmup, which captures the kernel on the dispatcher instance at import and launchesself.kernel. Three patches were updated to assign.kernel; six were left rebinding the module-level kernel name, which nothing reads at call time any more. Before that commit these were launched by module-global lookup (expand_kernel[(batch_size,)](...)atrejection_sampler.py:597in parente19a3e172), so the rebinding used to work.The dead
setattronto thedflashmodule is dropped too:dflash.pyimports and calls the dispatcher, never that name. It was the only user ofimport sysin the file.2. Two shim signatures do not bind.
_launch_binding_planmaps each dispatch input to a kernel argument namedname,name_ptr,NAMEorNAME_PTR._expand_kernel_impltookinput_val(dispatch input isinput) and_eagle_step_slot_mapping_metadata_kernel_impltookstride(dispatch input isblock_table_stride, and that dispatch passes no launch kwargs). Both are renamed.Why this is not a duplicate
mamba_utils.batch_memcpyonly, at its call site. Different kernel, untouched here._expand_kernel_impl. Orthogonal, and that shim is currently never installed on arm64. This PR does not change its body.cpu_triton_utilsor_postprocess_tritonpatching.Test Plan
New
tests/v1/worker/test_cpu_triton_fallbacks.pyparametrizes over all nine dispatchers and asserts_postprocess_triton()installs each CPU fallback. It would have caught #56323. Run onlinux/arm64with Triton absent (HAS_TRITON = False):Test Result
On unmodified
main— the six module-global patches fail, the three.kernelpatches pass:With this PR:
End-to-end, calling
expand_batch_to_tokens()on the CPU path:mainTypeError: Cannot inspect kernel parameters for functionTypeError: _expand_kernel_impl() missing 1 required positional argument: 'input_val'Limitation, stated plainly: my native extension build has not finished, so the final call ends at
'_C' object has no attribute 'expand_kernel_impl'— the Python dispatch chain is verified, the C++ kernel execution is not. I have not run a full arm64 spec-decode serving test, and I would value a reviewer with a complete arm64 build confirming that last hop. No model-output or accuracy change is expected: this only determines whether the existing C++ fallbacks are reached at all.Notes
AI assistance was used to investigate and prepare this change. I reviewed every changed line and ran the tests above.
Happy to split the two defects into separate PRs, or to drop the first half if maintainers prefer making the dispatcher resolve its kernel dynamically so this class of breakage cannot recur.