fix biachuan-7b tp #598
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fix biachuan-7b tp #598
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Is the same reason for baichuan-13b? #530 |
Yes. I have tested it on both baichuan13b and 7b, and it can output normal output under tp. |
Can I use this PR directly on 13B？ |
zhuohan123
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Jul 30, 2023
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Is this part the only part that actually changes the code logic? Can you remove other format-only modifications and use format.sh script provided by us to re-format the code? Thanks!
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Hi, I have already modified the content of the PR and removed the invalid format part.
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Co-authored-by: wq.chu <[email protected]>
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…ct#598) ### What this PR does / why we need it? Deepseek v3 now adopt vanilla chunked prefill on MLA part which is ineffcient for computing but necessary for chunked prefill. Since PR vllm-project/vllm-ascend#543 bring v0 scheduler into vllm-ascend, we can now adopt torch_npu._npu_flash_attention inside the mla backend for more performance boost. Also there are some redundant computation inside the rope, which is also removed. This PR should bring some performance gain for deepseek eager mode inference. --------- Signed-off-by: ganyi <[email protected]>
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The main modifications are in the "load_weights" function.
Before:
After:
