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…SM80) Unlocks DSpark speculative decoding under pipeline parallelism on top of base commit f8ea5bb ("[Attention] DeepSeek-V4 sparse MLA on SM8x"). 8-file source diff baked into the published club-170hx image ghcr.io/pixelml/club-170hx:vllm-deepseek-v4-sm80-20260902, recovered from the build image (docker diff against a clean f8ea5bb checkout) and receipted at dsv4-vision-exp-4card-20260902T0440Z/receipts/vllm-source-patches.diff in the PixelML/DeepSeek-V4-Flash-Vision-Exp-CMP-170HX evidence trail. This is the first commit that makes sm80 the exact source of the published text-path image, per the follow-up flagged in docs/SM80.md. CPU checks: py_compile and pyflakes clean on all 7 touched Python files.
… step 1/4) Ports vision-only files unmodified from the pinned DeepSeek-V4-Flash-Vision-Exp head onto this SM80 fork, plus registry/ __init__ wiring to expose DeepseekV4ForConditionalGeneration as a multimodal model: - vllm/models/deepseek_v4/vl_stub.py (non-CUDA platform stub) - vllm/models/deepseek_v4/nvidia/vl_model.py - vllm/models/deepseek_v4/common/mm_preprocess.py - vllm/models/deepseek_v4/common/vision.py Source: PixelML/DeepSeek-V4-Flash-Vision-Exp-CMP-170HX, branch codex/path3-vision-on-sm80-fork, format-patch 0001 (commit 2cb04cc1). No adaptation needed for these files: their imports resolve against generic vLLM infra already present on this fork, and the one deepseek_v4-internal symbol they need (_make_deepseek_v4_weights_mapper) already exists in nvidia/model.py. CPU checks: py_compile and pyflakes clean on all 6 touched/added files.
Hand-ports the vision-only hunks from the pinned Vision-Exp head's MoE
routing chain onto this fork, keeping the existing ampere_sparse SM80
attention backend untouched:
- csrc/libtorch_stable/moe/{moe_ops.h,torch_bindings.cpp,
topk_softplus_sqrt_kernels.cu}: add bias_vl/image_sentinel_lo to the
topk_softplus_sqrt native op (fast hash-table kernel and the generic
templated kernel), so image sentinel tokens route by bias_vl instead
of the text correction bias or hash table.
- vllm/_custom_ops.py: thread the two new params through the op wrapper.
- vllm/model_executor/layers/fused_moe/router/dsv4_topk.py: extend the
Triton fast-path kernel with an optional per-row image-bias override.
- vllm/model_executor/layers/fused_moe/router/fused_topk_bias_router.py,
router_factory.py, vllm/model_executor/layers/fused_moe/layer.py:
plumb bias_vl/image_sentinel_lo through the router and FusedMoEFactory.
- vllm/models/deepseek_v4/nvidia/model.py: create gate.bias_vl and
image_sentinel_lo on vision checkpoints, pass them into
FusedMoEFactory, require input_ids when bias_vl routing is active.
- vllm/v1/worker/gpu/model_runner.py: keep input_ids on non-first PP
ranks when the model sets requires_raw_input_tokens.
Deliberately not ported: the pinned head's unrelated removal of the
SM90-only dsv3_router_gemm kernel; MegaMoE shared-expert/sequence-
parallel refactors (SM90+-only); XPU-only fallback paths.
Source: PixelML/DeepSeek-V4-Flash-Vision-Exp-CMP-170HX, branch
codex/path3-vision-on-sm80-fork, commit 93df7ea6.
CPU checks: py_compile and pyflakes clean on all touched Python files.
CUDA/C++ files not compile-checked on this host (no build toolchain
here); scoped to the same pattern as the existing topk_softplus_sqrt
kernel and verified against the evidence repo's tracked source.
…tep 3/4) Widens combine_topk_swa_indices / build_flashinfer_mixed_sparse_indices and their Triton kernels with optional left_visible / right_visible / max_image_tokens parameters, so prefill tokens inside an image span get a bidirectionally widened sliding window instead of plain causal attention. Image-free batches stay byte-identical to prior behavior. Adds self.max_image_tokens on DeepseekV4Attention, computed from vision_max_n_token / vision_n_layers (zero on text-only checkpoints), which the widened-SWA hunk reads from the attention layer. Source: PixelML/DeepSeek-V4-Flash-Vision-Exp-CMP-170HX, branch codex/path3-vision-on-sm80-fork, commits b6721bf1 (cache_utils.py) and 24d07d22 (attention.py). CPU checks: py_compile and pyflakes clean on both touched files.
… step 4/4) Three of the five boot errors found bringing the ported vision model up on 4x CMP 170HX (the other two are a launch-flag change, not a source fix, and the load_weights finalize fix already committed separately): - vllm/multimodal/processing/processor.py: add _plan_prompt_updates, a thin variant of _apply_matches that returns the ordered (update, match) pairs instead of applying them, so mm_preprocess.py can splice in compressor-alignment padding whose size depends on each match's final position in the prompt. - vllm/models/deepseek_v4/common/mm_preprocess.py: override _call_hf_processor on DeepseekV4VLMultiModalProcessor to tokenize the prompt and merge input_ids into the processor output (fixes `KeyError: 'input_ids'`); override _hf_processor_applies_updates to return False so the normal placeholder-expansion path runs instead of being skipped (fixes "found 0 prompt placeholders"). - vllm/v1/worker/gpu/cudagraph_utils.py: add the same requires_raw_input_tokens gate to create_forward_fn's capture path that gpu/model_runner.py's regular forward-input-prep path already had, so CUDA-graph warmup on non-first PP ranks stops crashing with "DeepSeek V4 vision MoE routing requires input_ids." Default behavior is unchanged for every other model. Source: PixelML/DeepSeek-V4-Flash-Vision-Exp-CMP-170HX, branch codex/path3-vision-on-sm80-fork, commits 7ab7cf2f (processor.py), 0c991df3 (mm_preprocess.py), c1e2de67 (cudagraph_utils.py). See that repo's docs/VISION-PORT.md for the full five-fix account, including fix 1 (drop --safetensors-load-strategy eager; a launch-flag change, no source diff) and fix 4 (load_weights finalize call, already in the "vision-only files + registry wiring" ancestor commit's follow-up). CPU checks: py_compile and pyflakes clean on all three touched files.
… loads Boot fix 4 of 5 from the vision port: DeepseekV4ForCausalLM.load_weights did not call self.process_weights_after_loading() before returning. The outer VL wrapper (vl_model.py) sets self._weights_finalized = True right after delegating to this method, assuming finalization already ran here; without this call, the wrapper's own process_weights_after_loading() (the only other place finalize_mega_moe_weights / finalize_mhc_broadcast_weights could run) saw the flag already set and skipped them, so hc_attn_fn_broadcast was never populated for any real (non-dummy) weight load. This crashed DeepseekV4DecoderLayer.forward with `AssertionError: self.hc_attn_fn_broadcast is not None` during profile_run's image dummy-forward. Fix: call self.process_weights_after_loading() before returning, mirroring the pinned Vision head's (2c8af21) ordering exactly. Source: PixelML/DeepSeek-V4-Flash-Vision-Exp-CMP-170HX, branch codex/path3-vision-on-sm80-fork, commit f7c0f5e7. CPU checks: py_compile and pyflakes clean.
…tensors Adds patches/safetensors_torch_f8_e8m0.py, a full replacement for the installed safetensors/torch.py that adds an F8_E8M0 dtype entry (torch.float8_e8m0fnu, Torch 2.5.0+) to the load/save dtype tables. Without it, safetensors raises an unrecognized-dtype error on a checkpoint shard carrying a ue8m0 block-scale tensor. This is a third-party-package overlay, not a vLLM source patch, applied at image build time by copying it over the installed safetensors package (see patches/README.md and docker/Dockerfile.sm80). Source: PixelML/DeepSeek-V4-Flash-Vision-Exp-CMP-170HX, patches/safetensors_torch.py (matches the copy baked into the published vision image, receipted at dsv4-vision-exp-4card-20260902T0440Z/receipts/safetensors_torch.py). CPU checks: py_compile and pyflakes clean.
… (RCA Bug A) Root-causes the c>=4 EngineCore/shm_broadcast crash on the vision build: Worker_PP3 dies with a device-side assert (NCCL watchdog), which EngineCore then reports downstream as a shm_broadcast "cancelled" timeout. Vision's bias_vl MoE routing (added in an earlier commit) made every PP rank read real input_ids on every decoder layer, but an unfilled CUDA-graph padding row can hold a stale, possibly sentinel-range token id left over from a prior, larger batch at the same bucket size. Text-only models never hit this because they keep input_ids=None on non-first ranks. Fix: zero the padding rows of input_ids right after the real rows are written, gated on requires_raw_input_tokens (false for every model except this vision port) — an SM80-fork-only code path, so this does not change behavior on SM90+. Source: seanphan/pixelml issue vllm-project#79, RCA comment, "Minimal patch proposal (Bug A)". CPU checks: py_compile and pyflakes clean.
…ion (RCA Bug B) Root-causes the 131k-token engine crash on the vision build: a heavily-chunked long prefill (--max-num-batched-tokens 2048) can produce a boundary chunk where DSpark verify rejects every scheduled token, collapsing valid_ctx_end (ctx_end - num_rejected) to ctx_start or below. The kernel then read before this request's own context window, raising "Triton Error [CUDA]: an illegal memory access was encountered" in _prepare_dflash_inputs_kernel. Fix: clamp valid_ctx_end to be at least ctx_start + 1, mirroring the existing upper-bound-clamp style already used in this kernel for block indices. Only changes behavior for the num_rejected >= num_ctx edge case; architecture-agnostic Triton index math, so it applies identically on SM90+, and only prevents an out-of-bounds read that would otherwise fault on any architecture. Source: seanphan/pixelml issue vllm-project#79, RCA comment, "Minimal patch proposal (Bug B)". CPU checks: py_compile and pyflakes clean.
…ched from it) (cherry picked from commit 588a947)
Updates docs/SM80.md and the README supported-models table now that sm80 carries the DSpark patch, the vision port, and the safetensors overlay as commits instead of a documented gap: - removes the "known gap" note (the DSpark 8-file patch is now committed on this branch, source recovered from the club-170hx image's build receipts); - adds the Qwen3.8-27B row (stock vLLM, no fork changes needed); - adds a known-limits section for the vision build's two crashes (c>=4, 131k-token prefill), both root-caused and patched on this branch per seanphan/pixelml#79, not yet re-verified on a GPU boot; - points the build instructions at docker/Dockerfile.sm80.
Copies the fork's Dockerfile.fullbuild16 lineage (haosdent/vllm's 16-job variant of the allover326 Dockerfile.fullbuild) into the repo as docker/Dockerfile.sm80, so images build from this repo instead of a separately-tracked Dockerfile plus bind-mounted fixes. Adds the safetensors F8_E8M0 overlay COPY step and an in-container import gate for vllm, the custom ops, and the DeepSeek-V4 text/vision/dspark classes, so a broken import fails the build instead of surfacing only at boot. Build from the repo root: `docker build -f docker/Dockerfile.sm80 -t <tag> .`
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docker build here runs under the default runc runtime with no NVIDIA driver visible, so the deepseek_v4 import chain pulls in vllm/v1/attention/ops/fp8_sm80.py, whose triton-disabled fallback path calls tl.constexpr unconditionally. That call is not itself callable once triton_utils disables triton for a missing driver, so it raises TypeError at import time -- a pre-existing upstream gap, not one of this branch's patches, that only shows up with no GPU present. Narrow the Dockerfile.sm80 build-time gate to vllm/torch/custom-ops import (what a driver-less container can actually verify), and document the fuller deepseek_v4-class import check to run post-build with a GPU runtime once one is free.
COPY . /vllm/ sits before the ~80-minute compile RUN in docker/Dockerfile.sm80, so any change inside the build context -- the Dockerfile itself, a doc edit, even a new commit touching .git -- busts that cache and forces a full recompile. Add docker/, notebooks/, *.md, and receipts/ to .dockerignore so edits there stop invalidating the compile layer. Keep .git in the context; setuptools-scm reads it for the version string. Document the cause and a follow-up (split the gate/overlay steps into a later stage with a narrow COPY) in docs/SM80.md.
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Summary
Consolidates everything that currently runs on the four CMP 170HX cards
into this repo, so images build from
sm80instead of a pinned baseplus bind-mounted fixes:
text image (
ghcr.io/pixelml/club-170hx:vllm-deepseek-v4-sm80-20260902),recovered from that image's build receipts.
SWA window, and three of the five boot fixes, plus the fourth
(
load_weightsfinalize) as its own commit. Ported fromPixelML/DeepSeek-V4-Flash-Vision-Exp-CMP-170HX,codex/path3-vision-on-sm80-fork.safetensorsF8_E8M0 overlay patch (loads aue8m0block-scaletensor from a DeepSeek-V4 checkpoint shard).
seanphan/pixelml#79: thec>=4EngineCore crash (stale CUDA-graph padding row) and the 131k-token
prefill crash (out-of-bounds read on a fully-rejected DSpark chunk).
Neither is re-verified on a GPU boot yet.
sm80-docscommits (provenance, README section)and adds a third updating them for the consolidation — Qwen3.8-27B
row, known-limits section linking the two RCA fixes above.
docker/Dockerfile.sm80: the fork'sDockerfile.fullbuild16lineage,TORCH_CUDA_ARCH_LIST=8.0, plus the safetensors overlay COPY and anin-container import gate (vllm, custom ops, DeepSeek-V4
text/vision/dspark classes).
13 commits on top of base
f8ea5bb163. Every commit's touched Pythonfiles pass
py_compileandpyflakesindividually and as a full-branchdiff; CUDA/C++ files are not compile-checked on this host (no build
toolchain here) but are scoped identically to existing kernel code and
verified against the evidence repo's tracked source.
Test plan
py_compileandpyflakesclean on every touched Python file,per commit and as a full-branch diff.
docker/Dockerfile.sm80's build-timegate): pending image build (~60 min compile).
by the resident GLM-5.3-Flash server; skip until free.
c>=4and 131k-token RCA fixes on a real boot.