[bugfix][accuracy] Fix ds indexer accuracy problem caused by k rope#7341
[bugfix][accuracy] Fix ds indexer accuracy problem caused by k rope#7341MengqingCao merged 1 commit intovllm-project:mainfrom
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Signed-off-by: rjg-lyh <1318825571@qq.com>
Summary of ChangesHello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request resolves a critical accuracy bug within the deepseek indexer's rotary positional embedding calculation. It rectifies an accidental regression where a previously implemented fix for the neox-style rotary algorithm was reverted, ensuring the correct mathematical operation is applied to maintain model accuracy. Highlights
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Code Review
This pull request addresses an accuracy issue in the DeepSeek indexer's rotary position embedding (RoPE) implementation. The change reverts an accidental regression, replacing npu_interleave_rope (GPT-J style) with the correct npu_rotary_mul (NeoX style) for the key tensor. This ensures consistency with the query tensor's RoPE application and restores the intended behavior. The fix appears correct and well-justified.
As per the repository's style guide, here are the suggested PR title and summary:
Suggested PR Title:
[Attention][BugFix] Fix ds indexer accuracy problem caused by k ropeSuggested PR Summary:
### What this PR does / why we need it?
The rotary algorithm in the DeepSeek indexer should be neox-style instead of gptj-style. A previous change (PR #4641) corrected this, but the fix was accidentally reverted in PR #5701. This pull request restores the correct neox-style implementation (`npu_rotary_mul`) to fix the accuracy bug.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
CI passed with new added/existing test.…scend into qwen3next_graph * 'qwen3next_graph' of https://github.com/845473182/vllm-ascend: (62 commits) [doc] Refresh the documentation for DeepSeek-V3.2 (vllm-project#7403) [bugfix][accuracy] Fix ds indexer accuracy problem caused by k rope (vllm-project#7341) [P/D] LayerwiseConnector supports the virtual push functionality on node D. (vllm-project#7361) [CI] Add PAT_TOKEN when checkout (vllm-project#7400) [main2main] upgrade vllm to 0308 (vllm-project#7213) [CI] add scheduled stale issue management (vllm-project#7354) [CI] expand issue labeler rules for feature/model triage (vllm-project#7356) [Bugfix] Assertion error when decode prefix cache fully hits (vllm-project#7236) [doc] Refresh the documentation for GLM-4.7 (vllm-project#7292) [BugFix]A2 MOE method&& layerwise MTP bugfix && Mamba gdn_metadata bugfix (vllm-project#7364) [doc] Upload doc for qwen3.5-27B and qwen3.5-397B-A17B on Ascend (vllm-project#7313) [bugfix]Enable dispatch_ffn_combine feature for qwen3.5 (vllm-project#7066) [bugfix] fix unzip file path for fia operator (vllm-project#7367) [Perf] Optimize bias handling in AscendRMSNorm (vllm-project#7226) [eagle3][pcp] fix bug for eagle3 and cp enable (vllm-project#7309) [Bugfix] fix TransposeKvCacheByBlock op error report in plog (vllm-project#7235) [Feature]Supports DSv3.1 PD separation and C8 quantization (vllm-project#7222) [main][bugfix] Fixed the problem that eagle3 will crash in FULL_DECODE_ONLY (vllm-project#7290) [xlite][Bugfix] Support mrope and deepstack features in xlite backend (vllm-project#7295) [model_runner_v2]optimize the performance of the _topk_log_softmax_kernel (vllm-project#7221) ...
…llm-project#7341) ### What this PR does / why we need it? The rotary algorithm in deepseek indexer should be neox-style instead of gptj style. PR vllm-project#4641 fix this accuracy bug in original pytorch version. But PR vllm-project#5701 accidentally removed the fixed code line and reverted the implementation back to the problematic version. This PR fixes it. Signed-off-by: rjg-lyh <1318825571@qq.com>
…llm-project#7341) ### What this PR does / why we need it? The rotary algorithm in deepseek indexer should be neox-style instead of gptj style. PR vllm-project#4641 fix this accuracy bug in original pytorch version. But PR vllm-project#5701 accidentally removed the fixed code line and reverted the implementation back to the problematic version. This PR fixes it. Signed-off-by: rjg-lyh <1318825571@qq.com>
…llm-project#7341) ### What this PR does / why we need it? The rotary algorithm in deepseek indexer should be neox-style instead of gptj style. PR vllm-project#4641 fix this accuracy bug in original pytorch version. But PR vllm-project#5701 accidentally removed the fixed code line and reverted the implementation back to the problematic version. This PR fixes it. Signed-off-by: rjg-lyh <1318825571@qq.com>
What this PR does / why we need it?
The rotary algorithm in deepseek indexer should be neox-style instead of gptj style. PR #4641 fix this accuracy bug in original pytorch version. But PR #5701 accidentally removed the fixed code line and reverted the implementation back to the problematic version. This PR fixes it.
Does this PR introduce any user-facing change?
No.
How was this patch tested?
CI passed with new added/existing test.