[0.9.1]optmize rope in qwen2 #1782
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Signed-off-by: rjg-lyh <1318825571@qq.com>
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This pull request has conflicts, please resolve those before we can evaluate the pull request. |
ApsarasX
reviewed
Jul 14, 2025
| # TODO: Remove the contiguous in the future. | ||
| query = query.contiguous().view(query.shape[0], -1) | ||
| key = key.contiguous().view(key.shape[0], -1) | ||
| torch_npu._npu_rotary_embedding( |
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Are you considering using the npu_mrope operator here?
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Are you considering using the npu_mrope operator here?
Not sure if npu_mrope performs exactly the same with _npu_rotary_embedding, so I keep this part unchanged.
Signed-off-by: David9857 <985700846@qq.com>
use npu_apply_rotary_pos_emb when head_size is 128 and is noex_style ### What this PR does / why we need it? Optimize rope by extracting index_select from layers into model, which can reduce (layer_num -1) * 2 Gather ops in each prefill/decode stage. ### Does this PR introduce _any_ user-facing change? NA ### How was this patch tested? NA --------- Signed-off-by: David9857 <985700846@qq.com>
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What this PR does / why we need it?
Does this PR introduce any user-facing change?
How was this patch tested?