Add Qwen3 support for Arm #145
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- Implement flash attention for context attention - Implement flash decoding for decoder self attention - Avoid cache assem and use blocked kv cache directly - Compute GQA by group of heads in flash decoding Signed-off-by: Zhang Xiangze <[email protected]> Co-authored-by: Ruifeng Wang <[email protected]>
Add following functions for Arm Device: - moeFfnLayer - mlaContextAttention - mlaAbsorbAttention - layernormWithStride - mlaQKVGemm - slice - dispatch Upgrade torch version from 2.1.2 to 2.6.0 for Arm backend Add DeepSeek V2 lite support Add DeepSeek V3 support by packing FP8 weights to INT4 and compute with KleidiAI Improve performance of activation op with gate Add optimized MoE path for a8w4 Merge shared expert into moeFfnLayer for DeepSeek V3 Optimize flash decoding by split q dim for mla absorb attention Signed-off-by: Zhang Xiangze <[email protected]> Co-authored-by: Tianyu Li <[email protected]>
Signed-off-by: Zhang Xiangze <[email protected]>
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Hi @xiangze-arm, we have updated our development workflow, and we integrated our complete ci test pipeline into github pull request actions. could you please submit the pull requests again (maybe all-in-one), so that the pr auto triggers our ci |
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Add qkRmsNorm for Arm to support Qwen3 models.
This is a stacked PR. Code changes for adding qkRmsNorm are in the third commit 480ec99.