[Model] Add Qwen3-Omni DSpark support by Zhou248 · Pull Request #52560 · vllm-project/vllm

Zhou248 · 2026-08-17T02:43:58Z

Purpose

Add framework support for using a Qwen3OmniDSparkModel draft architecture with a Qwen3-Omni thinker target.

This change:

registers the dedicated Qwen3-Omni DSpark architecture while reusing the shared Qwen3DSparkForCausalLM runtime implementation;
exposes the target thinker's post-DeepStack auxiliary hidden states required by DSpark;
preserves the dedicated architecture and DSpark sampling fields when converting msModelSpec configuration;
validates the target/draft hidden size, attention geometry, target-layer selection, vocabulary contract, and DSpark algorithm settings at startup;
makes embedding and lm-head sharing safe when the draft input/output vocabulary differs from the target vocabulary;
relies on the draft-logits cache stride fix from [Model Runner V2][Spec Decode] Fix draft logits cache column stride in gumbel_sample #53017 instead of maintaining a model-specific resizing workaround;
adds focused registry, configuration, model-contract, and configuration-bridge tests.

A repository search for Qwen3 Omni DSpark and Qwen3OmniDSpark found no existing PR implementing this support, so this does not duplicate known work.

This is a framework integration PR. Qwen3-Omni DSpark checkpoints are not yet available, so it does not claim model quality or acceptance-rate results.

AI assistance disclosure: this PR was prepared with OpenAI Codex assistance. The submitter is responsible for reviewing every changed line and completing the required NPU/model evaluation.

Test Plan

.venv/bin/ruff check \
  tests/model_executor/test_qwen3_omni.py \
  tests/models/registry.py tests/test_config.py \
  tests/transformers_utils/test_speculators_dspark_config.py \
  vllm/config/speculative.py \
  vllm/model_executor/models/qwen3_dflash.py \
  vllm/model_executor/models/qwen3_dspark.py \
  vllm/model_executor/models/qwen3_omni_moe_thinker.py \
  vllm/model_executor/models/registry.py \
  vllm/transformers_utils/configs/speculators/algos.py \
  vllm/v1/worker/gpu/spec_decode/dspark/utils.py

.venv/bin/ruff format --check <the same 11 files>

.venv/bin/python -m pytest -q \
  tests/transformers_utils/test_speculators_dspark_config.py \
  tests/test_config.py \
  -k 'qwen3_omni_dspark or dspark_updater'

.venv/bin/python -m pytest -q \
  tests/model_executor/test_qwen3_omni.py \
  -k 'incomplete_vocab_weights'

Outstanding NPU/model validation:

run the Qwen3-Omni hidden-state module tests in an environment with all multimodal dependencies;
load a compatible Qwen3-Omni DSpark checkpoint;
run NPU end-to-end eager and ACLGraph speculative-decoding tests in the dependent vLLM-Ascend PR;
report acceptance length, output correctness, memory, and throughput.

Test Result

Ruff check: passed.
Ruff format check: passed; 11 files already formatted.
Direct registry smoke test: passed; Qwen3OmniDSparkModel resolves to Qwen3DSparkForCausalLM.
Configuration and msModelSpec bridge tests: 21 passed, 201 deselected.
Vocabulary/weight-contract tests: 3 passed, 3 deselected.
git diff --check: passed.
tests/models/test_registry.py collection is blocked locally by the newly required model_hosting_container_standards package; the equivalent direct registry import check passed.
Model evaluation: not run because no Qwen3-Omni DSpark checkpoint is available.

github-actions · 2026-08-17T02:44:07Z

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claude

Claude Code Review

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TheEpicDolphin

Thanks for the new feature! Left some feedback

TheEpicDolphin · 2026-08-19T21:05:07Z

+    "Qwen3OmniDSparkModel": (
+        "qwen3_omni_dspark",
+        "Qwen3OmniDSparkForCausalLM",
+    ),


I think you can just map this to Qwen3DSparkForCausalLM instead. Qwen3OmniDSparkForCausalLM is just an empty wrapper over Qwen3DSparkForCausalLM

Thanks for the suggestions!! I’ve updated the PR in commit 3e7f8ae, could you please take another look?

TheEpicDolphin · 2026-08-20T00:46:21Z

+        # A draft-only noise token can make the input embedding vocabulary
+        # wider than the target vocabulary used by rejection sampling.
+        target_vocab_size = vllm_config.model_config.get_vocab_size()
+        if self.vocab_size != target_vocab_size:
+            self.vocab_size = target_vocab_size
+            if self.draft_logits is not None:
+                self.draft_logits = torch.zeros(
+                    self.max_num_reqs,
+                    self.num_speculative_steps,
+                    self.vocab_size,
+                    dtype=torch.float32,
+                    device=device,
+                )


I think this self.draft_logits override is no longer needed because of this recently merged PR: #53017. gumbel_sample now uses the correct stride from the draft logits cache tensor rather than the vocab size of the logits handed to it, which can be smaller.

Thanks for the suggestions!! I’ve updated the PR in commit 3e7f8ae, could you please take another look?

@Zhou248 thanks, will take a nother look soon

mergify · 2026-08-20T17:23:27Z

This pull request has merge conflicts that must be resolved before it can be
merged. Please rebase the PR, @Zhou248.

https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/syncing-a-fork

Zhou248 · 2026-08-22T11:57:19Z

/ci run

github-actions · 2026-08-22T11:57:37Z

✅ Triggered Buildkite CI #85179 for commit 06b5a8894e5b.

Zhou248 · 2026-08-22T13:38:53Z

/ci run

github-actions · 2026-08-22T13:39:10Z

✅ Triggered Buildkite CI #85185 for commit dc41c64cf534.

A merge conflict resolution regression in PR vllm-project#52560 reverted the decoder_layer_cls indirection in DFlashQwen3Model, forcing the underlying layer instantiation to hardcode DFlashQwen3DecoderLayer. This prevented subclassed model topologies like DFlash2Qwen3Model from correctly instantiating DFlash2Qwen3DecoderLayer, causing loading failures for draft models. I restore the dynamically looked up class instantiation self.decoder_layer_cls and introduce a meta-device unit test to guard against regression. Signed-off-by: Karan Shelar <karanshelar8775@gmail.com>

…_cls The source fix from this PR landed independently as vllm-project#53435 (a9a17e7), so this is rebased down to the part that has no equivalent on main. `test_dflash2_model_decoder_layer_cls` from vllm-project#53435 builds a model and checks `isinstance(model.layers[0], DFlash2Qwen3DecoderLayer)`. This adds a cheap static tripwire on top: it inspects the source of `DFlashQwen3Model.__init__` and asserts the layers are built through `self.decoder_layer_cls(`, never by naming `DFlashQwen3DecoderLayer` directly. That is the exact regression that caused vllm-project#53428 -- vllm-project#52816 introduced the indirection, vllm-project#52560 re-hardcoded the class, and DFlash2 drafts silently got plain DFlash layers until weight loading failed on `layers.0.attention_conv`. The tripwire catches a third occurrence without a model build. Also annotates `decoder_layer_cls` as `type[nn.Module]` and documents why the indirection exists, so the next person editing the constructor sees it. Verified: the assertions hold on current main and fail on 2f55ef2, the commit that removed the indirection. Related: vllm-project#53428, vllm-project#53435 Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

Signed-off-by: Zhou248 <630563665@qq.com> Signed-off-by: khushali9 <khushali.desai9@gmail.com>

Signed-off-by: Zhou248 <630563665@qq.com>

Signed-off-by: Zhou248 <630563665@qq.com> Signed-off-by: mikeshawcode <michaelwshaw2@gmail.com>

### What this PR does / why we need it? Depends on vllm-project/vllm#52560. This PR completes the Ascend/NPU registration required for Qwen3-Omni DSpark framework support: - registers the checkpoint architecture `Qwen3OmniDSparkModel`; - maps it to the existing `AscendQwen3DSparkForCausalLM` runtime; - reuses the existing Ascend Qwen3 DSpark confidence-head, FC-rotation, and weight-loading implementation selected by the dependent vLLM support. The Qwen3-Omni checkpoint keeps its dedicated architecture name and configuration contract. No behavior-free Ascend wrapper is added because the Ascend execution and weight-loading path is the same as the existing Qwen3 DSpark runtime. This is a framework registration PR. A compatible trained Qwen3-Omni DSpark checkpoint is not currently available, so this PR does not claim Qwen3-Omni acceptance-rate, accuracy, performance, eager-mode, or ACLGraph results. AI assistance disclosure: this patch was prepared with OpenAI Codex assistance and reviewed against the dependent vLLM changes. ### Does this PR introduce _any_ user-facing change? Yes. After the dependent vLLM support is available, a draft checkpoint whose architecture is `Qwen3OmniDSparkModel` can resolve to the existing Ascend Qwen3 DSpark runtime. Existing Qwen3 DSpark behavior and command-line options are unchanged. ### How was this patch tested? Local static checks: ```bash ruff check vllm_ascend/models/__init__.py tests/ut/model_executor/test_qwen3_dspark.py ruff format --check vllm_ascend/models/__init__.py tests/ut/model_executor/test_qwen3_dspark.py git diff --check ``` Results: - Ruff check: passed. - Ruff format check: passed. - `git diff --check`: passed. The focused Qwen3 DSpark test cannot be collected in this local macOS environment because `torch_npu` is unavailable. It remains covered by the standard vLLM-Ascend CI environment. No Qwen3-Omni DSpark E2E test is added in this PR because no compatible trained checkpoint is currently available. A converted Qwen3 checkpoint would only be a shape/loading surrogate and would not provide a valid Qwen3-Omni DSpark behavioral E2E. Eager/ACLGraph correctness, acceptance, memory, and throughput coverage should be added with the real checkpoint in a follow-up. - dependent vLLM PR: vllm-project/vllm#52560 - vLLM main: vllm-project/vllm@ba07e4a Signed-off-by: Zhou248 <630563665@qq.com>

### What this PR does / why we need it This PR upgrades the verified vLLM main anchor from [`ba07e4a48fc951300d97eb506217dd530583dea3`](vllm-project/vllm@ba07e4a) to [`e6bfe03ad73a3330cb427885aa90d97a12e1c704`](vllm-project/vllm@e6bfe03). The exact upstream range is [ba07e4a48...e6bfe03ad](vllm-project/vllm@ba07e4a...e6bfe03). The branch is rebased onto the latest vllm-ascend `origin/main`. The current revision adds two follow-ups on top of the reviewed source mapping: - **`e67948b9c` - drop the local `pr_test.yaml` tweak.** The earlier "raise e2e timeout for `ready-all` partitions" change is reverted, so this PR no longer modifies `.github/workflows/pr_test.yaml`. - **`fe7f550b7` - drop the vLLM `v0.27.1` release lane from the tests.** Every `vllm_version_is("0.27.1")` gate in the unit/e2e suite is removed and each site resolves to the vLLM-main behavior: dual-lane if/else/ternary branches collapse to the main path, the v0.27.1-only skip and the `test_kimi_k3_gqa_mixed_groups_use_expected_physical_layout` test are deleted, the profiling-time and `prepare_inputs` AST contract tests are reshaped to the single main-lane implementation, dead `vllm_version_is` mocks/imports are dropped, the e2e `hunyuan-vl` case always skips, the obsolete `VLLM_VERSION=0.27.1` hack in `test_num_nans` is removed, and the orphaned legacy `_get_kv_cache_config_deepseek_v4` planner is deleted. `vllm_version_is()` stays in `vllm_ascend/utils.py` with its unit test. #### Review conclusion - **Latest revision (`fe7f550b7`):** clean rebase onto current `origin/main`; the two follow-ups above are committed and pushed. Local-only, non-PR working-tree sources are not part of this branch. - **Source review (earlier revisions):** the main2main adaptations for the pinned upstream range were reviewed and are documented below; no PR-introduced source-level blocker was found. - **CI:** the run triggered on the rebased head (`fe7f550b7`) supersedes the earlier run and is the authoritative gate for this revision. #### Upstream changes covered | Upstream PR | Exact commit | Contract adopted here | |---|---|---| | [#50465](vllm-project/vllm#50465) | [`d154d90d6c`](vllm-project/vllm@d154d90) | Batch-sharded sampling and `skip_gather` | | [#51718](vllm-project/vllm#51718) | [`8bdc70ec7b`](vllm-project/vllm@8bdc70e) | Standardized KV-cache layout | | [#52209](vllm-project/vllm#52209) | [`b26039b09f`](vllm-project/vllm@b26039b) | Custom routed-expert weight loading | | [#52560](vllm-project/vllm#52560) | [`2f55ef254c`](vllm-project/vllm@2f55ef2) | Qwen3-Omni DSpark support | | [#52816](vllm-project/vllm#52816) | [`b389ac2946`](vllm-project/vllm@b389ac2) | DFlash2 and DFlash class factories | | [#53183](vllm-project/vllm#53183) | [`4aab2b0ebe`](vllm-project/vllm@4aab2b0) | MRV2 becomes the default runner | | [#53435](vllm-project/vllm#53435) | [`a9a17e7095`](vllm-project/vllm@a9a17e7) | DFlash2 subclass loading fix | | [#53508](vllm-project/vllm#53508) | [`479eeb32d2`](vllm-project/vllm@479eeb3) | Isolated sleep-mode KV allocations | | [#53515](vllm-project/vllm#53515) | [`b1fbbc2ade`](vllm-project/vllm@b1fbbc2) | Persistent PCP graph input buffers | | [#53694](vllm-project/vllm#53694) | [`5acc1c4e4b`](vllm-project/vllm@5acc1c4) | Spec-decode `dp_sync` contract | | [#53869](vllm-project/vllm#53869) | [`b3af042abd`](vllm-project/vllm@b3af042) | PCP slot mappings for PIECEWISE capture | ### Changes by file > Note: the per-file notes below document the reviewed source mapping for the pinned upstream range. Where they describe code as keeping a v0.27.1 lane, the latest revision (`fe7f550b7`) removes the `vllm_version_is("0.27.1")` gates from the unit/e2e tests listed below and deletes the 0.27.1-only coverage; see "What this PR does". #### Repository metadata and CI ##### `.github/vllm-main-verified.commit` 1. Updates the verified vLLM main SHA to `e6bfe03ad73a3330cb427885aa90d97a12e1c704`. - Upstream: [exact compare range](vllm-project/vllm@ba07e4a...e6bfe03). - Review: correct; this is the exact new anchor used by the source and CI review. ##### `.github/workflows/pr_test.yaml` This revision reverts the earlier local e2e-timeout tweak; this PR no longer modifies `.github/workflows/pr_test.yaml`. #### Runtime source ##### `vllm_ascend/_310p/model_runner_310p.py` 1. Adds a version-aware `KVCacheTensor` layer-name accessor and keeps v0.27.1 aliasing while allocating main-lane attention/Mamba buffers per layer. 2. Marks the 310P runner as not supporting the standardized shared backing and derives cache sizes from each layer spec. - Upstream: [#51718](vllm-project/vllm#51718) / [`8bdc70ec7b`](vllm-project/vllm@8bdc70e). - Review: correct; it avoids treating an all-layer descriptor size as one layer's allocation. ##### `vllm_ascend/_310p/worker/v2/model_runner.py` 1. Reads `shared_by` on v0.27.1 and `layers` on main when binding 310P V2 KV tensors. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; the active descriptor field is selected without changing the release-lane behavior. ##### `vllm_ascend/_310p/worker_310p.py` 1. Applies the multi-group KV-memory scaling helper when the runner cannot consume standardized shared backing. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; this prevents per-layer materialization from exceeding the planner's shared-allocation budget. ##### `vllm_ascend/attention/context_parallel/dsa_cp.py` 1. Reads the DeepSeek V4 compression ratio from `compress_ratio` on v0.27.1 or `tokens_per_state` on main. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; both fields encode the same logical ratio in their respective lanes. ##### `vllm_ascend/attention/dsa_v1.py` 1. Applies the same `compress_ratio` / `tokens_per_state` compatibility when building DSA metadata. 2. Retains `AscendDSABackend.get_kv_cache_shape` intentionally: main removed the generic base declaration, but Ascend allocation code still calls the concrete backend helper. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; deleting the concrete helper would break Ascend's own allocator. ##### `vllm_ascend/core/kv_cache_interface.py` 1. Makes `AscendMLAAttentionSpec.storage_block_size` and `merge()` lane-aware for `compress_ratio` versus `tokens_per_state`. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; layout compatibility is compared using the field that exists in each lane. ##### `vllm_ascend/distributed/kv_transfer/kv_p2p/mooncake_connector.py` 1. Replaces direct `shared_by` reads with the version-aware helper. 2. Registers each real per-layer storage when one standardized descriptor represents multiple private Ascend buffers. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; registration uses actual aligned storage addresses instead of assuming descriptor-level aliasing. ##### `vllm_ascend/distributed/kv_transfer/kv_p2p/mooncake_hybrid_connector.py` 1. Uses the version-aware tensor-layer accessor for hybrid Mooncake transfers. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct. ##### `vllm_ascend/distributed/kv_transfer/kv_p2p/mooncake_layerwise_connector.py` 1. Uses the version-aware tensor-layer accessor for layerwise Mooncake transfers. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct. ##### `vllm_ascend/distributed/kv_transfer/kv_pool/ascend_store/layerwise_cache_layout.py` 1. Reads layer names through the compatibility helper. 2. Constructs v0.27.1 tensors with `shared_by` and main tensors with `layers`, `layer_stride`, `block_stride`, and `offset`. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; the produced descriptor is valid in both dataclass versions. ##### `vllm_ascend/distributed/kv_transfer/kv_pool/kv_offload/native/offloading_connector.py` 1. Removes the deleted `is_kv_cache_tensor_packed` import/call and uses `bool(block_stride)` on main. 2. Replaces `shared_by` with the version-aware layer accessor. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; this resolves both introduced P1 import/call findings while preserving the old packed-layout meaning. ##### `vllm_ascend/distributed/kv_transfer/kv_pool/recompute_cpu_offload/manager.py` 1. Uses the version-aware layer accessor when building recompute offload metadata. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct. ##### `vllm_ascend/distributed/kv_transfer/kv_pool/recompute_cpu_offload/worker.py` 1. Preserves new descriptor geometry (`layers`, strides, offset) on main and old `shared_by` construction on v0.27.1. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; reconstructed tensors retain the layout information required by main. ##### `vllm_ascend/models/deepseek_v4/indexer.py` 1. Constructs `AscendMLAAttentionSpec` with `compress_ratio` on v0.27.1 and `tokens_per_state` on main. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct. ##### `vllm_ascend/models/layer/attention/layer.py` 1. Applies the same lane-specific MLA spec field when attention layers publish their KV-cache specs. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct. ##### `vllm_ascend/models/qwen3_dflash2.py` 1. Declares `decoder_layer_cls` and `model_cls` for the new upstream factory-based construction path. 2. Retains the module-global swap only for v0.27.1, where the factories do not exist. - Upstream: [#52816](vllm-project/vllm#52816) / [`b389ac2946`](vllm-project/vllm@b389ac2), finalized by [#53435](vllm-project/vllm#53435) / [`a9a17e7095`](vllm-project/vllm@a9a17e7). - Review: correct; each lane instantiates `DFlash2Qwen3DecoderLayer` and `DFlash2Qwen3Model` through its native mechanism. ##### `vllm_ascend/ops/vocab_parallel_embedding.py` 1. Adds the new `skip_gather` argument and mirrors the upstream early return before tensor-parallel gather. - Upstream: [#50465](vllm-project/vllm#50465) / [`d154d90d6c`](vllm-project/vllm@d154d90). - Review: correct; the trailing default keeps the old call contract valid. ##### `vllm_ascend/patch/platform/patch_fused_moe.py` 1. Composes an upstream custom `RoutedExperts` subclass with `AscendRoutedExperts` instead of replacing the class by name. 2. Preserves the upstream subclass's custom loader while retaining Ascend routing/EPLB behavior. - Upstream: [#52209](vllm-project/vllm#52209) / [`b26039b09f`](vllm-project/vllm@b26039b). - Review: correct; it adapts the actual factory return type and avoids bypassing new upstream loading behavior. ##### `vllm_ascend/patch/platform/patch_kv_cache_utils.py` 1. Constructs lane-correct `KVCacheTensor` descriptors and inlines page-size calculation removed from the old patch target. 2. Replaces the removed `_get_kv_cache_config_packed` hook on main with patches for `get_kv_cache_config_from_groups`, `_max_memory_usage_bytes_from_groups`, and `_pool_bytes_per_block`. 3. Preserves DeepSeek V4 shared tuples and rank-consistent KV block planning. - Upstream: [#51718](vllm-project/vllm#51718) / [`8bdc70ec7b`](vllm-project/vllm@8bdc70e). - Review: correct; this resolves the introduced P0 removed-target finding against the live main entry points. ##### `vllm_ascend/patch/platform/patch_use_v2_model_runner.py` 1. Removes DSpark and DFlash2 from Ascend's V1-only unsupported-feature result when the upstream helper exists. - Upstream: MRV2 default switch [#53183](vllm-project/vllm#53183), with DSpark from [#52560](vllm-project/vllm#52560) and DFlash2 from [#52816](vllm-project/vllm#52816). - Review: correct; the filter is narrow and does not change other unsupported features. ##### `vllm_ascend/patch/worker/patch_v2/patch_attn_utils.py` 1. Keeps the legacy `_allocate_kv_cache` / `_reshape_kv_cache` patches only on v0.27.1. 2. Patches main's live `allocate_kv_cache` entry point with `allocate_kv_cache_main` and retains Ascend reshape binding. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; this resolves the removed-import and removed-monkey-patch-target P0/P1 findings. ##### `vllm_ascend/utils.py` 1. Adds `get_kv_cache_tensor_layers()` to normalize `shared_by` and `layers` reads. - Upstream: [#51718](vllm-project/vllm#51718). 2. Strips a PEP 440 local suffix (for example `+empty`) before `vllm_version_is()` comparison. - Upstream: no direct upstream patch; downstream compatibility hardening needed for release-lane version strings. - Review: correct; the comparison changes only local build metadata handling. ##### `vllm_ascend/worker/model_runner_v1.py` 1. Implements lane-correct KV descriptor reads and advertises support for standardized shared backing. 2. On main, overlays compatible attention/Mamba groups in one backing store and exposes descriptor-offset views; otherwise materializes correctly sized private per-layer buffers. 3. Preserves v0.27.1 aliasing, SFA/indexer layouts, sparse/offload paths, cache-only caches, and page-padding geometry. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; the allocation follows the new descriptor geometry without changing the release-lane memory model. ##### `vllm_ascend/worker/v2/aclgraph_utils.py` 1. Keeps old-lane dummy-batch repartitioning but consumes already-local persistent buffers on main. 2. Uses PCP dummy block tables and slot mappings and forwards `pcp_manager` through graph capture. - Upstream: persistent buffers [#53515](vllm-project/vllm#53515) and capture slot mappings [#53869](vllm-project/vllm#53869). - Review: correct; main no longer repartitions an already rank-local capture batch. ##### `vllm_ascend/worker/v2/attn_utils.py` 1. Removes main-lane dependence on the deleted `indexes_kv_by_block_stride` marker and uses standardized page geometry. 2. Allocates one hybrid backing on main, then creates per-layer views from `offset`, `layer_stride`, and `block_stride`; private SFA/attention allocations are retained where sharing is invalid. 3. Adds `allocate_kv_cache_main`, reconstructs Ascend attention groups, and binds the live upstream allocation entry point. 4. Retains calls to concrete Ascend `get_kv_cache_shape` helpers because Ascend still needs backend-specific views after the generic base method was removed. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; the three machine-reported calls are intentional concrete-backend calls, not calls to the removed base implementation. ##### `vllm_ascend/worker/v2/model_runner.py` 1. Advertises standardized shared KV backing and keeps separate `prepare_inputs` implementations for the two upstream signatures. 2. Preserves the larger of real PCP tokens and graph-descriptor padding; main forwards `padded_num_tokens` to the PCP manager. - Upstream: KV layout [#51718](vllm-project/vllm#51718), persistent PCP buffers [#53515](vllm-project/vllm#53515), and capture mappings [#53869](vllm-project/vllm#53869). - Review: correct; runtime PCP tokens are not truncated to the graph descriptor. ##### `vllm_ascend/worker/v2/pcp_manager.py` 1. Matches the optional constructor/partition keywords exposed by each lane. 2. Uses persistent `AscendInputBuffers`, including the `max_num_reqs + 1` query-offset view required by prefix sums. 3. Preserves explicit graph padding in the main-lane local batch. - Upstream: [#53515](vllm-project/vllm#53515) and [#53869](vllm-project/vllm#53869). - Review: correct; buffer lifetime, shape, and padding match the new PCP capture contract. ##### `vllm_ascend/worker/v2/spec_decode/autoregressive/speculator.py` 1. Accepts `dp_sync`, forwards `num_tokens_across_dp` on v0.27.1, and forwards `dp_sync` on main. - Upstream: [#53694](vllm-project/vllm#53694) / [`5acc1c4e4b`](vllm-project/vllm@5acc1c4). - Review: correct. ##### `vllm_ascend/worker/v2/spec_decode/dflash/speculator.py` 1. Applies the same lane-specific `num_tokens_across_dp` / `dp_sync` forwarding in DFlash. - Upstream: [#53694](vllm-project/vllm#53694). - Review: correct. ##### `vllm_ascend/worker/v2/spec_decode/dspark/speculator.py` 1. Applies the same lane-specific `num_tokens_across_dp` / `dp_sync` forwarding in DSpark. - Upstream: [#53694](vllm-project/vllm#53694). - Review: correct. ##### `vllm_ascend/worker/worker.py` 1. Guards the removed `post_kv_cache_wake_up` hook with `hasattr`. - Upstream: [#53508](vllm-project/vllm#53508) / [`479eeb32d2`](vllm-project/vllm@479eeb3). 2. Scales multi-group KV memory only when Ascend must materialize private buffers; skips DeepSeek V4 custom planning and compatible standardized hybrid sharing. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; it prevents OOM without reducing capacity for runners that can consume the shared layout. #### Unit tests ##### `tests/ut/_310p/test_model_runner_310p.py` 1. Verifies that the 310P runner does not advertise standardized shared KV backing. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/_310p/test_model_runner_v2_310p.py` 1. Makes the descriptor fixture valid with `shared_by` on v0.27.1 and `layers` on main. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/attention/test_dsa_v1.py` 1. Covers both `compress_ratio` and `tokens_per_state` metadata inputs. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/core/test_recompute_scheduler.py` 1. Constructs base MLA specs with the ratio field available in the active lane. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/distributed/ascend_store/test_layerwise_cache_layout.py` 1. Adds a lane-aware `KVCacheTensor` fixture and validates layout reads through the compatibility helper. 2. Covers main descriptor strides/offsets and packed-descriptor rejection. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/kv_offload/test_mooncake_connector.py` 1. Adapts fixtures/assertions to standardized descriptors and main group-allocation sizes. 2. Adds coverage for registering multiple private per-layer storages represented by one descriptor. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/patch/platform/test_patch_fused_moe.py` 1. Verifies composition of a custom upstream routed-expert subclass with the Ascend contract and loader preservation. - Upstream coverage: [#52209](vllm-project/vllm#52209). ##### `tests/ut/patch/platform/test_patch_use_v2_model_runner.py` 1. Verifies that only DSpark and DFlash2 are removed from the V1-only unsupported list. - Upstream coverage: [#53183](vllm-project/vllm#53183), [#52560](vllm-project/vllm#52560), and [#52816](vllm-project/vllm#52816). ##### `tests/ut/patch/platform/test_prefix_cache_cp_patches.py` 1. Adapts standardized KV descriptor fixtures. 2. Covers DeepSeek V4 shared-tuple capacity and rank-consistent replanning. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/spec_decode/test_dflash2_proposer.py` 1. Verifies DFlash2's `decoder_layer_cls` and `model_cls` declarations. - Upstream coverage: [#52816](vllm-project/vllm#52816) and [#53435](vllm-project/vllm#53435). ##### `tests/ut/test_compressed_prefix_cache.py` 1. Constructs compressed-prefix MLA specs with the lane-specific ratio field. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/tools/bisect/test_version_compat.py` 1. Isolates `VLLM_VERSION` environment state so one compatibility test cannot leak its lane into another. - Upstream coverage: no direct source patch; downstream test isolation for the two-lane compatibility logic. ##### `tests/ut/worker/a2/test_model_runner_v1.py` 1. Covers standardized descriptor allocation, per-layer views, shared capacity, and cache-only behavior. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/worker/a2/test_model_runner_v1_with_device.py` 1. Adapts device-backed V1 fixtures to `shared_by` / `layers` and validates main-lane geometry. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/worker/a2/test_worker_v1.py` 1. Covers shared-layout capacity versus private-buffer budget scaling. 2. Covers the optional wake hook after sleep-mode KV allocation changes. - Upstream coverage: [#51718](vllm-project/vllm#51718) and [#53508](vllm-project/vllm#53508). ##### `tests/ut/worker/test_attn_utils_v2.py` 1. Covers the main `allocate_kv_cache` entry point, new descriptor geometry, MLA ratio field, and flat attention-group reshape contract. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/worker/test_model_runner_v2.py` 1. Verifies both prepare-input implementations preserve real PCP tokens and only main forwards graph padding. - Upstream coverage: [#53515](vllm-project/vllm#53515) and [#53869](vllm-project/vllm#53869). ##### `tests/ut/worker/test_model_runner_v2_finegrained_tp.py` 1. Adds `batch_sharder` and request-count fields to the bare fixture to match the new sampling contract. - Upstream coverage: [#50465](vllm-project/vllm#50465). ##### `tests/ut/worker/test_model_runner_v2_mamba.py` 1. Adds lane-aware descriptors and validates one main-lane hybrid backing with per-layer offsets. 2. Covers the removal of `indexes_kv_by_block_stride` through observable page-padding geometry. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/worker/test_pcp_manager_v2.py` 1. Covers persistent Ascend input buffers, prefix-sum offset shape, padded local batches, main capture slot mappings, and old/new keyword signatures. 2. Verifies `dp_sync` on all three Ascend speculators and `pcp_manager` on graph capture. - Upstream coverage: [#53515](vllm-project/vllm#53515), [#53694](vllm-project/vllm#53694), and [#53869](vllm-project/vllm#53869). ### Does this PR introduce any user-facing change? No. This is an internal compatibility update; it does not add an Ascend-specific public API. ### How was this patch tested? - Exact-contract main2main validation and range prediction for vLLM [`ba07e4a48...e6bfe03ad`](vllm-project/vllm@ba07e4a...e6bfe03). - GitHub Actions: [run 33229439657](https://github.com/vllm-project/vllm-ascend/actions/runs/33229439657). - Successful in that run: pre-commit, both 310P jobs, all A3 jobs, and the passing A2 shards on both `e6bfe03ad...` and `v0.27.1`. - Pending rerun: ModelScope HTTP 500 failures on A2; two unchanged EPLB CPU tests fail identically on both lanes. - vLLM main: vllm-project/vllm@ba07e4a --------- Signed-off-by: liaoqidan <1107297340@qq.com> Signed-off-by: shenzhao <shenzhao9@huawei.com> Signed-off-by: LQDLove <LQDLove@users.noreply.github.com> Co-authored-by: shenzhao <shenzhao9@huawei.com> Co-authored-by: LQDLove <LQDLove@users.noreply.github.com>

…t#14392) ### What this PR does / why we need it? Depends on vllm-project/vllm#52560. This PR completes the Ascend/NPU registration required for Qwen3-Omni DSpark framework support: - registers the checkpoint architecture `Qwen3OmniDSparkModel`; - maps it to the existing `AscendQwen3DSparkForCausalLM` runtime; - reuses the existing Ascend Qwen3 DSpark confidence-head, FC-rotation, and weight-loading implementation selected by the dependent vLLM support. The Qwen3-Omni checkpoint keeps its dedicated architecture name and configuration contract. No behavior-free Ascend wrapper is added because the Ascend execution and weight-loading path is the same as the existing Qwen3 DSpark runtime. This is a framework registration PR. A compatible trained Qwen3-Omni DSpark checkpoint is not currently available, so this PR does not claim Qwen3-Omni acceptance-rate, accuracy, performance, eager-mode, or ACLGraph results. AI assistance disclosure: this patch was prepared with OpenAI Codex assistance and reviewed against the dependent vLLM changes. ### Does this PR introduce _any_ user-facing change? Yes. After the dependent vLLM support is available, a draft checkpoint whose architecture is `Qwen3OmniDSparkModel` can resolve to the existing Ascend Qwen3 DSpark runtime. Existing Qwen3 DSpark behavior and command-line options are unchanged. ### How was this patch tested? Local static checks: ```bash ruff check vllm_ascend/models/__init__.py tests/ut/model_executor/test_qwen3_dspark.py ruff format --check vllm_ascend/models/__init__.py tests/ut/model_executor/test_qwen3_dspark.py git diff --check ``` Results: - Ruff check: passed. - Ruff format check: passed. - `git diff --check`: passed. The focused Qwen3 DSpark test cannot be collected in this local macOS environment because `torch_npu` is unavailable. It remains covered by the standard vLLM-Ascend CI environment. No Qwen3-Omni DSpark E2E test is added in this PR because no compatible trained checkpoint is currently available. A converted Qwen3 checkpoint would only be a shape/loading surrogate and would not provide a valid Qwen3-Omni DSpark behavioral E2E. Eager/ACLGraph correctness, acceptance, memory, and throughput coverage should be added with the real checkpoint in a follow-up. - dependent vLLM PR: vllm-project/vllm#52560 - vLLM main: vllm-project/vllm@ba07e4a Signed-off-by: Zhou248 <630563665@qq.com>

### What this PR does / why we need it This PR upgrades the verified vLLM main anchor from [`ba07e4a48fc951300d97eb506217dd530583dea3`](vllm-project/vllm@ba07e4a) to [`e6bfe03ad73a3330cb427885aa90d97a12e1c704`](vllm-project/vllm@e6bfe03). The exact upstream range is [ba07e4a48...e6bfe03ad](vllm-project/vllm@ba07e4a...e6bfe03). The branch is rebased onto the latest vllm-ascend `origin/main`. The current revision adds two follow-ups on top of the reviewed source mapping: - **`e67948b9c` - drop the local `pr_test.yaml` tweak.** The earlier "raise e2e timeout for `ready-all` partitions" change is reverted, so this PR no longer modifies `.github/workflows/pr_test.yaml`. - **`fe7f550b7` - drop the vLLM `v0.27.1` release lane from the tests.** Every `vllm_version_is("0.27.1")` gate in the unit/e2e suite is removed and each site resolves to the vLLM-main behavior: dual-lane if/else/ternary branches collapse to the main path, the v0.27.1-only skip and the `test_kimi_k3_gqa_mixed_groups_use_expected_physical_layout` test are deleted, the profiling-time and `prepare_inputs` AST contract tests are reshaped to the single main-lane implementation, dead `vllm_version_is` mocks/imports are dropped, the e2e `hunyuan-vl` case always skips, the obsolete `VLLM_VERSION=0.27.1` hack in `test_num_nans` is removed, and the orphaned legacy `_get_kv_cache_config_deepseek_v4` planner is deleted. `vllm_version_is()` stays in `vllm_ascend/utils.py` with its unit test. #### Review conclusion - **Latest revision (`fe7f550b7`):** clean rebase onto current `origin/main`; the two follow-ups above are committed and pushed. Local-only, non-PR working-tree sources are not part of this branch. - **Source review (earlier revisions):** the main2main adaptations for the pinned upstream range were reviewed and are documented below; no PR-introduced source-level blocker was found. - **CI:** the run triggered on the rebased head (`fe7f550b7`) supersedes the earlier run and is the authoritative gate for this revision. #### Upstream changes covered | Upstream PR | Exact commit | Contract adopted here | |---|---|---| | [#50465](vllm-project/vllm#50465) | [`d154d90d6c`](vllm-project/vllm@d154d90) | Batch-sharded sampling and `skip_gather` | | [#51718](vllm-project/vllm#51718) | [`8bdc70ec7b`](vllm-project/vllm@8bdc70e) | Standardized KV-cache layout | | [#52209](vllm-project/vllm#52209) | [`b26039b09f`](vllm-project/vllm@b26039b) | Custom routed-expert weight loading | | [#52560](vllm-project/vllm#52560) | [`2f55ef254c`](vllm-project/vllm@2f55ef2) | Qwen3-Omni DSpark support | | [#52816](vllm-project/vllm#52816) | [`b389ac2946`](vllm-project/vllm@b389ac2) | DFlash2 and DFlash class factories | | [#53183](vllm-project/vllm#53183) | [`4aab2b0ebe`](vllm-project/vllm@4aab2b0) | MRV2 becomes the default runner | | [#53435](vllm-project/vllm#53435) | [`a9a17e7095`](vllm-project/vllm@a9a17e7) | DFlash2 subclass loading fix | | [#53508](vllm-project/vllm#53508) | [`479eeb32d2`](vllm-project/vllm@479eeb3) | Isolated sleep-mode KV allocations | | [#53515](vllm-project/vllm#53515) | [`b1fbbc2ade`](vllm-project/vllm@b1fbbc2) | Persistent PCP graph input buffers | | [#53694](vllm-project/vllm#53694) | [`5acc1c4e4b`](vllm-project/vllm@5acc1c4) | Spec-decode `dp_sync` contract | | [#53869](vllm-project/vllm#53869) | [`b3af042abd`](vllm-project/vllm@b3af042) | PCP slot mappings for PIECEWISE capture | ### Changes by file > Note: the per-file notes below document the reviewed source mapping for the pinned upstream range. Where they describe code as keeping a v0.27.1 lane, the latest revision (`fe7f550b7`) removes the `vllm_version_is("0.27.1")` gates from the unit/e2e tests listed below and deletes the 0.27.1-only coverage; see "What this PR does". #### Repository metadata and CI ##### `.github/vllm-main-verified.commit` 1. Updates the verified vLLM main SHA to `e6bfe03ad73a3330cb427885aa90d97a12e1c704`. - Upstream: [exact compare range](vllm-project/vllm@ba07e4a...e6bfe03). - Review: correct; this is the exact new anchor used by the source and CI review. ##### `.github/workflows/pr_test.yaml` This revision reverts the earlier local e2e-timeout tweak; this PR no longer modifies `.github/workflows/pr_test.yaml`. #### Runtime source ##### `vllm_ascend/_310p/model_runner_310p.py` 1. Adds a version-aware `KVCacheTensor` layer-name accessor and keeps v0.27.1 aliasing while allocating main-lane attention/Mamba buffers per layer. 2. Marks the 310P runner as not supporting the standardized shared backing and derives cache sizes from each layer spec. - Upstream: [#51718](vllm-project/vllm#51718) / [`8bdc70ec7b`](vllm-project/vllm@8bdc70e). - Review: correct; it avoids treating an all-layer descriptor size as one layer's allocation. ##### `vllm_ascend/_310p/worker/v2/model_runner.py` 1. Reads `shared_by` on v0.27.1 and `layers` on main when binding 310P V2 KV tensors. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; the active descriptor field is selected without changing the release-lane behavior. ##### `vllm_ascend/_310p/worker_310p.py` 1. Applies the multi-group KV-memory scaling helper when the runner cannot consume standardized shared backing. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; this prevents per-layer materialization from exceeding the planner's shared-allocation budget. ##### `vllm_ascend/attention/context_parallel/dsa_cp.py` 1. Reads the DeepSeek V4 compression ratio from `compress_ratio` on v0.27.1 or `tokens_per_state` on main. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; both fields encode the same logical ratio in their respective lanes. ##### `vllm_ascend/attention/dsa_v1.py` 1. Applies the same `compress_ratio` / `tokens_per_state` compatibility when building DSA metadata. 2. Retains `AscendDSABackend.get_kv_cache_shape` intentionally: main removed the generic base declaration, but Ascend allocation code still calls the concrete backend helper. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; deleting the concrete helper would break Ascend's own allocator. ##### `vllm_ascend/core/kv_cache_interface.py` 1. Makes `AscendMLAAttentionSpec.storage_block_size` and `merge()` lane-aware for `compress_ratio` versus `tokens_per_state`. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; layout compatibility is compared using the field that exists in each lane. ##### `vllm_ascend/distributed/kv_transfer/kv_p2p/mooncake_connector.py` 1. Replaces direct `shared_by` reads with the version-aware helper. 2. Registers each real per-layer storage when one standardized descriptor represents multiple private Ascend buffers. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; registration uses actual aligned storage addresses instead of assuming descriptor-level aliasing. ##### `vllm_ascend/distributed/kv_transfer/kv_p2p/mooncake_hybrid_connector.py` 1. Uses the version-aware tensor-layer accessor for hybrid Mooncake transfers. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct. ##### `vllm_ascend/distributed/kv_transfer/kv_p2p/mooncake_layerwise_connector.py` 1. Uses the version-aware tensor-layer accessor for layerwise Mooncake transfers. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct. ##### `vllm_ascend/distributed/kv_transfer/kv_pool/ascend_store/layerwise_cache_layout.py` 1. Reads layer names through the compatibility helper. 2. Constructs v0.27.1 tensors with `shared_by` and main tensors with `layers`, `layer_stride`, `block_stride`, and `offset`. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; the produced descriptor is valid in both dataclass versions. ##### `vllm_ascend/distributed/kv_transfer/kv_pool/kv_offload/native/offloading_connector.py` 1. Removes the deleted `is_kv_cache_tensor_packed` import/call and uses `bool(block_stride)` on main. 2. Replaces `shared_by` with the version-aware layer accessor. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; this resolves both introduced P1 import/call findings while preserving the old packed-layout meaning. ##### `vllm_ascend/distributed/kv_transfer/kv_pool/recompute_cpu_offload/manager.py` 1. Uses the version-aware layer accessor when building recompute offload metadata. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct. ##### `vllm_ascend/distributed/kv_transfer/kv_pool/recompute_cpu_offload/worker.py` 1. Preserves new descriptor geometry (`layers`, strides, offset) on main and old `shared_by` construction on v0.27.1. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; reconstructed tensors retain the layout information required by main. ##### `vllm_ascend/models/deepseek_v4/indexer.py` 1. Constructs `AscendMLAAttentionSpec` with `compress_ratio` on v0.27.1 and `tokens_per_state` on main. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct. ##### `vllm_ascend/models/layer/attention/layer.py` 1. Applies the same lane-specific MLA spec field when attention layers publish their KV-cache specs. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct. ##### `vllm_ascend/models/qwen3_dflash2.py` 1. Declares `decoder_layer_cls` and `model_cls` for the new upstream factory-based construction path. 2. Retains the module-global swap only for v0.27.1, where the factories do not exist. - Upstream: [#52816](vllm-project/vllm#52816) / [`b389ac2946`](vllm-project/vllm@b389ac2), finalized by [#53435](vllm-project/vllm#53435) / [`a9a17e7095`](vllm-project/vllm@a9a17e7). - Review: correct; each lane instantiates `DFlash2Qwen3DecoderLayer` and `DFlash2Qwen3Model` through its native mechanism. ##### `vllm_ascend/ops/vocab_parallel_embedding.py` 1. Adds the new `skip_gather` argument and mirrors the upstream early return before tensor-parallel gather. - Upstream: [#50465](vllm-project/vllm#50465) / [`d154d90d6c`](vllm-project/vllm@d154d90). - Review: correct; the trailing default keeps the old call contract valid. ##### `vllm_ascend/patch/platform/patch_fused_moe.py` 1. Composes an upstream custom `RoutedExperts` subclass with `AscendRoutedExperts` instead of replacing the class by name. 2. Preserves the upstream subclass's custom loader while retaining Ascend routing/EPLB behavior. - Upstream: [#52209](vllm-project/vllm#52209) / [`b26039b09f`](vllm-project/vllm@b26039b). - Review: correct; it adapts the actual factory return type and avoids bypassing new upstream loading behavior. ##### `vllm_ascend/patch/platform/patch_kv_cache_utils.py` 1. Constructs lane-correct `KVCacheTensor` descriptors and inlines page-size calculation removed from the old patch target. 2. Replaces the removed `_get_kv_cache_config_packed` hook on main with patches for `get_kv_cache_config_from_groups`, `_max_memory_usage_bytes_from_groups`, and `_pool_bytes_per_block`. 3. Preserves DeepSeek V4 shared tuples and rank-consistent KV block planning. - Upstream: [#51718](vllm-project/vllm#51718) / [`8bdc70ec7b`](vllm-project/vllm@8bdc70e). - Review: correct; this resolves the introduced P0 removed-target finding against the live main entry points. ##### `vllm_ascend/patch/platform/patch_use_v2_model_runner.py` 1. Removes DSpark and DFlash2 from Ascend's V1-only unsupported-feature result when the upstream helper exists. - Upstream: MRV2 default switch [#53183](vllm-project/vllm#53183), with DSpark from [#52560](vllm-project/vllm#52560) and DFlash2 from [#52816](vllm-project/vllm#52816). - Review: correct; the filter is narrow and does not change other unsupported features. ##### `vllm_ascend/patch/worker/patch_v2/patch_attn_utils.py` 1. Keeps the legacy `_allocate_kv_cache` / `_reshape_kv_cache` patches only on v0.27.1. 2. Patches main's live `allocate_kv_cache` entry point with `allocate_kv_cache_main` and retains Ascend reshape binding. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; this resolves the removed-import and removed-monkey-patch-target P0/P1 findings. ##### `vllm_ascend/utils.py` 1. Adds `get_kv_cache_tensor_layers()` to normalize `shared_by` and `layers` reads. - Upstream: [#51718](vllm-project/vllm#51718). 2. Strips a PEP 440 local suffix (for example `+empty`) before `vllm_version_is()` comparison. - Upstream: no direct upstream patch; downstream compatibility hardening needed for release-lane version strings. - Review: correct; the comparison changes only local build metadata handling. ##### `vllm_ascend/worker/model_runner_v1.py` 1. Implements lane-correct KV descriptor reads and advertises support for standardized shared backing. 2. On main, overlays compatible attention/Mamba groups in one backing store and exposes descriptor-offset views; otherwise materializes correctly sized private per-layer buffers. 3. Preserves v0.27.1 aliasing, SFA/indexer layouts, sparse/offload paths, cache-only caches, and page-padding geometry. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; the allocation follows the new descriptor geometry without changing the release-lane memory model. ##### `vllm_ascend/worker/v2/aclgraph_utils.py` 1. Keeps old-lane dummy-batch repartitioning but consumes already-local persistent buffers on main. 2. Uses PCP dummy block tables and slot mappings and forwards `pcp_manager` through graph capture. - Upstream: persistent buffers [#53515](vllm-project/vllm#53515) and capture slot mappings [#53869](vllm-project/vllm#53869). - Review: correct; main no longer repartitions an already rank-local capture batch. ##### `vllm_ascend/worker/v2/attn_utils.py` 1. Removes main-lane dependence on the deleted `indexes_kv_by_block_stride` marker and uses standardized page geometry. 2. Allocates one hybrid backing on main, then creates per-layer views from `offset`, `layer_stride`, and `block_stride`; private SFA/attention allocations are retained where sharing is invalid. 3. Adds `allocate_kv_cache_main`, reconstructs Ascend attention groups, and binds the live upstream allocation entry point. 4. Retains calls to concrete Ascend `get_kv_cache_shape` helpers because Ascend still needs backend-specific views after the generic base method was removed. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; the three machine-reported calls are intentional concrete-backend calls, not calls to the removed base implementation. ##### `vllm_ascend/worker/v2/model_runner.py` 1. Advertises standardized shared KV backing and keeps separate `prepare_inputs` implementations for the two upstream signatures. 2. Preserves the larger of real PCP tokens and graph-descriptor padding; main forwards `padded_num_tokens` to the PCP manager. - Upstream: KV layout [#51718](vllm-project/vllm#51718), persistent PCP buffers [#53515](vllm-project/vllm#53515), and capture mappings [#53869](vllm-project/vllm#53869). - Review: correct; runtime PCP tokens are not truncated to the graph descriptor. ##### `vllm_ascend/worker/v2/pcp_manager.py` 1. Matches the optional constructor/partition keywords exposed by each lane. 2. Uses persistent `AscendInputBuffers`, including the `max_num_reqs + 1` query-offset view required by prefix sums. 3. Preserves explicit graph padding in the main-lane local batch. - Upstream: [#53515](vllm-project/vllm#53515) and [#53869](vllm-project/vllm#53869). - Review: correct; buffer lifetime, shape, and padding match the new PCP capture contract. ##### `vllm_ascend/worker/v2/spec_decode/autoregressive/speculator.py` 1. Accepts `dp_sync`, forwards `num_tokens_across_dp` on v0.27.1, and forwards `dp_sync` on main. - Upstream: [#53694](vllm-project/vllm#53694) / [`5acc1c4e4b`](vllm-project/vllm@5acc1c4). - Review: correct. ##### `vllm_ascend/worker/v2/spec_decode/dflash/speculator.py` 1. Applies the same lane-specific `num_tokens_across_dp` / `dp_sync` forwarding in DFlash. - Upstream: [#53694](vllm-project/vllm#53694). - Review: correct. ##### `vllm_ascend/worker/v2/spec_decode/dspark/speculator.py` 1. Applies the same lane-specific `num_tokens_across_dp` / `dp_sync` forwarding in DSpark. - Upstream: [#53694](vllm-project/vllm#53694). - Review: correct. ##### `vllm_ascend/worker/worker.py` 1. Guards the removed `post_kv_cache_wake_up` hook with `hasattr`. - Upstream: [#53508](vllm-project/vllm#53508) / [`479eeb32d2`](vllm-project/vllm@479eeb3). 2. Scales multi-group KV memory only when Ascend must materialize private buffers; skips DeepSeek V4 custom planning and compatible standardized hybrid sharing. - Upstream: [#51718](vllm-project/vllm#51718). - Review: correct; it prevents OOM without reducing capacity for runners that can consume the shared layout. #### Unit tests ##### `tests/ut/_310p/test_model_runner_310p.py` 1. Verifies that the 310P runner does not advertise standardized shared KV backing. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/_310p/test_model_runner_v2_310p.py` 1. Makes the descriptor fixture valid with `shared_by` on v0.27.1 and `layers` on main. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/attention/test_dsa_v1.py` 1. Covers both `compress_ratio` and `tokens_per_state` metadata inputs. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/core/test_recompute_scheduler.py` 1. Constructs base MLA specs with the ratio field available in the active lane. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/distributed/ascend_store/test_layerwise_cache_layout.py` 1. Adds a lane-aware `KVCacheTensor` fixture and validates layout reads through the compatibility helper. 2. Covers main descriptor strides/offsets and packed-descriptor rejection. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/kv_offload/test_mooncake_connector.py` 1. Adapts fixtures/assertions to standardized descriptors and main group-allocation sizes. 2. Adds coverage for registering multiple private per-layer storages represented by one descriptor. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/patch/platform/test_patch_fused_moe.py` 1. Verifies composition of a custom upstream routed-expert subclass with the Ascend contract and loader preservation. - Upstream coverage: [#52209](vllm-project/vllm#52209). ##### `tests/ut/patch/platform/test_patch_use_v2_model_runner.py` 1. Verifies that only DSpark and DFlash2 are removed from the V1-only unsupported list. - Upstream coverage: [#53183](vllm-project/vllm#53183), [#52560](vllm-project/vllm#52560), and [#52816](vllm-project/vllm#52816). ##### `tests/ut/patch/platform/test_prefix_cache_cp_patches.py` 1. Adapts standardized KV descriptor fixtures. 2. Covers DeepSeek V4 shared-tuple capacity and rank-consistent replanning. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/spec_decode/test_dflash2_proposer.py` 1. Verifies DFlash2's `decoder_layer_cls` and `model_cls` declarations. - Upstream coverage: [#52816](vllm-project/vllm#52816) and [#53435](vllm-project/vllm#53435). ##### `tests/ut/test_compressed_prefix_cache.py` 1. Constructs compressed-prefix MLA specs with the lane-specific ratio field. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/tools/bisect/test_version_compat.py` 1. Isolates `VLLM_VERSION` environment state so one compatibility test cannot leak its lane into another. - Upstream coverage: no direct source patch; downstream test isolation for the two-lane compatibility logic. ##### `tests/ut/worker/a2/test_model_runner_v1.py` 1. Covers standardized descriptor allocation, per-layer views, shared capacity, and cache-only behavior. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/worker/a2/test_model_runner_v1_with_device.py` 1. Adapts device-backed V1 fixtures to `shared_by` / `layers` and validates main-lane geometry. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/worker/a2/test_worker_v1.py` 1. Covers shared-layout capacity versus private-buffer budget scaling. 2. Covers the optional wake hook after sleep-mode KV allocation changes. - Upstream coverage: [#51718](vllm-project/vllm#51718) and [#53508](vllm-project/vllm#53508). ##### `tests/ut/worker/test_attn_utils_v2.py` 1. Covers the main `allocate_kv_cache` entry point, new descriptor geometry, MLA ratio field, and flat attention-group reshape contract. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/worker/test_model_runner_v2.py` 1. Verifies both prepare-input implementations preserve real PCP tokens and only main forwards graph padding. - Upstream coverage: [#53515](vllm-project/vllm#53515) and [#53869](vllm-project/vllm#53869). ##### `tests/ut/worker/test_model_runner_v2_finegrained_tp.py` 1. Adds `batch_sharder` and request-count fields to the bare fixture to match the new sampling contract. - Upstream coverage: [#50465](vllm-project/vllm#50465). ##### `tests/ut/worker/test_model_runner_v2_mamba.py` 1. Adds lane-aware descriptors and validates one main-lane hybrid backing with per-layer offsets. 2. Covers the removal of `indexes_kv_by_block_stride` through observable page-padding geometry. - Upstream coverage: [#51718](vllm-project/vllm#51718). ##### `tests/ut/worker/test_pcp_manager_v2.py` 1. Covers persistent Ascend input buffers, prefix-sum offset shape, padded local batches, main capture slot mappings, and old/new keyword signatures. 2. Verifies `dp_sync` on all three Ascend speculators and `pcp_manager` on graph capture. - Upstream coverage: [#53515](vllm-project/vllm#53515), [#53694](vllm-project/vllm#53694), and [#53869](vllm-project/vllm#53869). ### Does this PR introduce any user-facing change? No. This is an internal compatibility update; it does not add an Ascend-specific public API. ### How was this patch tested? - Exact-contract main2main validation and range prediction for vLLM [`ba07e4a48...e6bfe03ad`](vllm-project/vllm@ba07e4a...e6bfe03). - GitHub Actions: [run 33229439657](https://github.com/vllm-project/vllm-ascend/actions/runs/33229439657). - Successful in that run: pre-commit, both 310P jobs, all A3 jobs, and the passing A2 shards on both `e6bfe03ad...` and `v0.27.1`. - Pending rerun: ModelScope HTTP 500 failures on A2; two unchanged EPLB CPU tests fail identically on both lanes. - vLLM main: vllm-project/vllm@ba07e4a --------- Signed-off-by: liaoqidan <1107297340@qq.com> Signed-off-by: shenzhao <shenzhao9@huawei.com> Signed-off-by: LQDLove <LQDLove@users.noreply.github.com> Co-authored-by: shenzhao <shenzhao9@huawei.com> Co-authored-by: LQDLove <LQDLove@users.noreply.github.com>

mergify Bot added new-model Requests to new models qwen Related to Qwen models mrv2 Model Runner V2 specific labels Aug 17, 2026

Zhou248 mentioned this pull request Aug 17, 2026

[Feature][Model] Add Qwen3-Omni DSpark support on Ascend vllm-project/vllm-ascend#14392

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Zhou248 marked this pull request as ready for review August 17, 2026 03:06

Zhou248 requested review from AndreasKaratzas, DarkLight1337, ProExpertProg, WoosukKwon, houseroad, mgoin, njhill, robertgshaw2-redhat, sighingnow, tlrmchlsmth, vadiklyutiy, yewentao256, youkaichao and ywang96 as code owners August 17, 2026 03:06

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Zhou248 force-pushed the feature/qwen3-omni-dspark branch from 6af8e7a to 76c60eb Compare August 17, 2026 11:53

mergify Bot added speculative-decoding dflash labels Aug 19, 2026

github-project-automation Bot moved this to Backlog in Sprint - DFlash Aug 19, 2026

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Zhou248 force-pushed the feature/qwen3-omni-dspark branch from b666de0 to 3e7f8ae Compare August 20, 2026 02:34

Merge branch 'main' into feature/qwen3-omni-dspark

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ywang96 approved these changes Aug 22, 2026

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ywang96 merged commit 2f55ef2 into vllm-project:main Aug 22, 2026
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github-project-automation Bot moved this from Backlog to Done in Sprint - DFlash Aug 22, 2026

sinmkd mentioned this pull request Aug 23, 2026

[Bug]: DFlash2 draft models fail to load on main — #52560 reverted the decoder_layer_cls indirection added by #52816 #53428

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Edge-Explorer mentioned this pull request Aug 23, 2026

Dflash2 load fix #53435

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jschmied mentioned this pull request Aug 23, 2026

[Spec Decode] DFlash2: local convolution + candidate selector #52816

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stefanskiasan mentioned this pull request Aug 23, 2026

[Spec Decode] Add a static regression guard for DFlash2 decoder_layer_cls #53449

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jschmied mentioned this pull request Aug 23, 2026

fix: populate draft model quant mapping and guard DFlash fused KV #53122

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calvarado2004 mentioned this pull request Aug 25, 2026

Resolve main conflict: add Qwen3-Omni to DSparkVariant xuebwang-amd/vllm#1

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erdholion mentioned this pull request Aug 25, 2026

[Bug]: Scheduler permanently stops admitting requests once running + skipped_waiting ("deferred") reaches max_num_seqs - engine reports healthy, KV cache mostly free, only a restart recovers #53130

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LQDLove mentioned this pull request Aug 29, 2026

[CI] main2main vllm 0828 vllm-project/vllm-ascend#14872

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khushali9 pushed a commit to khushali9/vllm that referenced this pull request Aug 29, 2026

[Model] Add Qwen3-Omni DSpark support (vllm-project#52560)

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Signed-off-by: Zhou248 <630563665@qq.com> Signed-off-by: khushali9 <khushali.desai9@gmail.com>

LQDLove mentioned this pull request Aug 31, 2026

[CI] main2main vllm 0828 vllm-project/vllm-ascend#15410

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am-cohere pushed a commit to am-cohere/vllm that referenced this pull request Sep 1, 2026

[Model] Add Qwen3-Omni DSpark support (vllm-project#52560)

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Signed-off-by: Zhou248 <630563665@qq.com>

mikeshawcode pushed a commit to mikeshawcode/vllm that referenced this pull request Sep 1, 2026

[Model] Add Qwen3-Omni DSpark support (vllm-project#52560)

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Signed-off-by: Zhou248 <630563665@qq.com> Signed-off-by: mikeshawcode <michaelwshaw2@gmail.com>

mikeshawcode pushed a commit to mikeshawcode/vllm that referenced this pull request Sep 1, 2026

[Model] Add Qwen3-Omni DSpark support (vllm-project#52560)

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Signed-off-by: Zhou248 <630563665@qq.com> Signed-off-by: mikeshawcode <michaelwshaw2@gmail.com>

orestis-z mentioned this pull request Sep 3, 2026

[Spec Decode] Fix Qwen3 DSpark d2t requirement for padded-vocab drafts #55133

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Zhou248 commented Aug 17, 2026 •

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