chore: relaunch vllm 0.20.1 bump#2448
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Re-applies #2427 (vllm 0.20.1 bump) after revert in #2437.
Why
torch.mm(..., out_dtype=torch.float32), which needs torch >= 2.10 — comfortably available with the new flash-attn wheel pinned to torch 2.11 here.LogitsProcessorAPI is byte-identical between 0.19.0 and 0.20.1 (__init__,_get_logits,_gather_logitssignatures unchanged), somonkey_patch_fp32_lm_headfrom feat(inference): fp32 lm_head via native bf16xbf16 -> fp32 mm (alt to #2438) #2441 keeps working without modification.What
vllm>=0.20.1+cu128torch2.11torchvision/torchaudiodeps viapytorch-cu128monkey_patch_fused_moe_lora_dp(fixed in vLLM 0.20 via #40338)monkey_patch_offloading_connector_cpu_block_count(fixed in vLLM 0.20 via #39617)monkey_patch_fp32_lm_head(feat(inference): fp32 lm_head via native bf16xbf16 -> fp32 mm (alt to #2438) #2441) is preserved as-is — auto-merge handled the overlap with the patches removed by the bump.🤖 Generated with Claude Code
Note
Medium Risk
Upgrades core inference dependencies (vLLM/PyTorch/Flash-Attn), which can change runtime behavior and performance across serving and distributed execution despite minimal application-code changes.
Overview
Updates the inference dependency stack to vLLM
>=0.20.1and aligns CUDA 12.8 wheels by addingtorchvision/torchaudiofrom thepytorch-cu128index and updating the pinnedflash-attnwheel to the+cu128torch2.11build.Simplifies local vLLM patching by removing monkey patches that are now fixed upstream (the LoRA+MoE+DP corruption workaround and the offloading connector CPU block count fix), and adjusts comments/config (
exclude-newer-packagenow unblocksvllm).Reviewed by Cursor Bugbot for commit 464bea4. Bugbot is set up for automated code reviews on this repo. Configure here.