[WIP][perf] Replace _npu_rotary_embedding with npu_mrope #1195
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Signed-off-by: David9857 <985700846@qq.com>
Signed-off-by: David9857 <985700846@qq.com>
Yikun
added
long-term-test
Signed-off-by: Yikun Jiang <yikunkero@gmail.com>
Yikun
reviewed
Jun 15, 2025
| query = query.contiguous().view(query.shape[0], -1) | ||
| key = key.contiguous().view(key.shape[0], -1) | ||
| torch_npu._npu_rotary_embedding( | ||
| query, key = torch_npu.npu_mrope( |
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quick question: which torch_npu version supports the npu_mrope operator?
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for graph mode, no release version supports npu_mrope yet
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can you combine #1231 together
David9857
changed the title
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This pull request has conflicts, please resolve those before we can evaluate the pull request. |
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for models using GPT-NeoX style Rope, here's an alternative solution with lower latency. #1719 |
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What this PR does / why we need it?
Replace the original interface(_npu_rotary_embedding) with a new interface(npu_mrope) with better performance.
Does this PR introduce any user-facing change?
NA
How was this patch tested?