Sync upstream specdecode 20260619 - #75
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…oject#42135) Signed-off-by: Mohammad Miadh Angkad <176301910+mmangkad@users.noreply.github.com>
…m-project#43482) Signed-off-by: Yubo Wang <yubowang2019@gmail.com> Co-authored-by: Claude <noreply@anthropic.com>
…#45217) Signed-off-by: jpwang <jpwang@smail.nju.edu.cn> Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
…ng (vllm-project#44784) Signed-off-by: joshua <joshua.abraham@multicorewareinc.com> Co-authored-by: joshua <joshua.abraham@multicorewareinc.com> Co-authored-by: Or Ozeri <oro@il.ibm.com>
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Pull request overview
Syncs a batch of upstream speculative decoding and KV-offloading bugfixes into this fork, primarily improving probabilistic draft-model rejection sampling, MLA decode metadata handling, and offloading correctness for EAGLE/MTP scenarios.
Changes:
- Add support for probabilistic draft sampling by caching draft-token probability distributions and passing them into rejection sampling.
- Fix MLA indexer decode seq-lens workspace layout to keep tensors contiguous across varying decode lengths.
- Extend KV offloading scheduler with EAGLE/MTP-tail handling and alignment-aware optimizations; add/adjust tests and config validation.
Reviewed changes
Copilot reviewed 13 out of 13 changed files in this pull request and generated 6 comments.
Show a summary per file
| File | Description |
|---|---|
| vllm/v1/worker/gpu/spec_decode/eagle/speculator.py | Switches draft-logits caching gate to the renamed probabilistic draft sampling mode. |
| vllm/v1/worker/gpu_model_runner.py | Caches/reorders per-request draft probabilities and wires them into rejection sampling; resets caches appropriately. |
| vllm/v1/spec_decode/llm_base_proposer.py | Adds probabilistic draft sampling path that records draft probabilities for later rejection sampling. |
| vllm/v1/attention/backends/mla/indexer.py | Reworks decode seq-lens workspace to maintain contiguity for native MTP and variable decode lengths. |
| vllm/model_executor/models/mistral_large_3_eagle.py | Initializes runtime attributes needed by load_weights for Mistral Large 3 Eagle. |
| vllm/model_executor/models/deepseek_eagle3.py | Applies fc_norm in combine_hidden_states before the combine FC layer. |
| vllm/distributed/kv_transfer/kv_connector/v1/offloading/scheduler.py | Adds EAGLE-group handling (volatile trailing block) and introduces alignment metadata for SWA store/load behavior. |
| vllm/config/speculative.py | Renames draft sampling method literal to probabilistic and updates docstring. |
| tests/v1/worker/test_gpu_model_runner.py | Adds unit test ensuring reordered draft probs are passed into the rejection sampler. |
| tests/v1/spec_decode/test_eagle.py | Updates proposer factory and adds a test for probabilistic draft-prob capture. |
| tests/v1/kv_connector/unit/offloading_connector/test_scheduler.py | Adds extensive coverage for offloading scheduler validation, alignment skip, reset semantics, and EAGLE/MTP behavior. |
| tests/test_config.py | Adds config validation tests for accepting probabilistic and rejecting gumbel. |
| tests/model_executor/test_mistral_large_3_eagle.py | Adds CPU tests verifying required runtime attrs are initialized and forward works. |
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| if attn_backend == "TRITON_ATTN" and not current_platform.is_rocm(): | ||
| pytest.skip( | ||
| "TRITON_ATTN does not support " | ||
| "multi-token eagle spec decode on current platform" | ||
| ) |
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| if self.model.fc_norm is not None: | ||
| chunks = hidden_states.chunk(self.model.num_aux_hidden_states, dim=-1) | ||
| hidden_states = torch.cat( | ||
| [norm(chunk) for norm, chunk in zip(self.model.fc_norm, chunks)], | ||
| dim=-1, | ||
| ) |
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| # Shared workspace for decode seq_lens. Native MTP views this as | ||
| # (B, max_decode_len) at runtime, keeping context_lens contiguous even | ||
| # when max_decode_len is smaller than next_n. | ||
| self.decode_seq_lens_buffer = torch.zeros( | ||
| (scheduler_config.max_num_batched_tokens,), | ||
| dtype=torch.int32, | ||
| device=self.device, | ||
| ) |
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| if alignment_tokens is None or sliding_window_size_in_blocks is None: | ||
| return None | ||
| if alignment_tokens <= offloaded_block_size: | ||
| return None | ||
| per_segment = alignment_tokens // offloaded_block_size |
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| num_blocks = max(0, num_blocks - 1) | ||
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| start_block_idx = group_state.next_stored_block_idx | ||
| if num_blocks <= start_block_idx: | ||
| continue |
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| num_blocks = num_offloadable_tokens // group_config.offloaded_block_size | ||
| if group_config.is_eagle_group: | ||
| num_blocks = max(0, num_blocks - 1) | ||
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Summary
Sync Batch 1 speculative decoding bugfixes from upstream into vLLM-HUST.
Included upstream PRs:
[Bugfix][Spec Decode] Wire draft_probs into probabilistic draft_model rejection[Bugfix] Fix DeepGEMM context lens contiguity in MLA indexer[Bugfix] Apply fc_norm in Eagle3DeepseekV2 combine_hidden_states[Bugfix] Initialize missing attributes in mistral eagle[Bugfix] Prevent cuMemcpyBatchAsync segfault with MTP and KV offloadingNot included in this PR:
CUDA error: an illegal memory access was encounteredvllm-project/vllm#43909: already effectively present in this fork, so not duplicatedseparately later