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* add a sgl_kernel.cpu wrapper for CPU OPs in sgl-kernel * add wrapper for attention OPs * set default value of is_vnni to True
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* add a sgl_kernel.cpu wrapper for CPU OPs in sgl-kernel * add wrapper for attention OPs * set default value of is_vnni to True
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* add a sgl_kernel.cpu wrapper for CPU OPs in sgl-kernel * add wrapper for attention OPs * set default value of is_vnni to True
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* add a sgl_kernel.cpu wrapper for CPU OPs in sgl-kernel * add wrapper for attention OPs * set default value of is_vnni to True
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* add a sgl_kernel.cpu wrapper for CPU OPs in sgl-kernel * add wrapper for attention OPs * set default value of is_vnni to True
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* add a sgl_kernel.cpu wrapper for CPU OPs in sgl-kernel * add wrapper for attention OPs * set default value of is_vnni to True
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* add a sgl_kernel.cpu wrapper for CPU OPs in sgl-kernel * add wrapper for attention OPs * set default value of is_vnni to True
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fix model loading and add eagle3 inference
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Signed-off-by: Ivan Butygin <ivan.butygin@gmail.com>
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* chore: download related file from cache Signed-off-by: mywaaagh_admin <pkwarcraft@gmail.com> * fix ci Signed-off-by: mywaaagh_admin <pkwarcraft@gmail.com> --------- Signed-off-by: mywaaagh_admin <pkwarcraft@gmail.com>
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…d-on-v0.4.10.post2 (#10) * Cherry-pick conflicts: features-based-on-v0.4.6.post5 → features-based-on-v0.4.7.post1 (#4) * [Docker] Use local source file instead of git clone sglang (#4) * [OAI] Support non-normalized logprobs in OpenAI server (#5961) * feat: Improve Mistral and Qwen25 function call parsing (#6597) * [Bugfix]: Fix call for function_call_parser.multi_format_detector in adapter.py (#6650) * fix(tool call): Fix tool_index in PythonicDetector and issues with mixed output in non-streaming (#6678) * bugfix(OAI): Fix image_data processing for jinja chat templates (#6877) * compressed-tensors check_accelerate error need install accelerate * Fix OOM in Llama4 with large images * Fix lint * ✅ Resolved: Cherry-pick --------- Co-authored-by: Chao Yang <chao.c.yang@oracle.com> Co-authored-by: Simo Lin <linsimo.mark@gmail.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> * ✅ Resolved: Cherry-pick from features-based-on-v0.4.7.post1 to features-based-on-v0.4.10.post2 * Delete openai_api folder --------- Co-authored-by: Chao Yang <chao.c.yang@oracle.com> Co-authored-by: Simo Lin <linsimo.mark@gmail.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
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* Revert "port prefill optimization (sgl-project#7)" This reverts commit ea0d028. * improve bfloat16 gemm performance for prefilling before: ``` gemm_bf16(native): 4.772 ms, gemm_fp8(opt): 0.000 ms, gemm_int8(opt): 0.000 ms, gemm_bf16(opt): 15.328 ms ``` after: ``` gemm_bf16(native): 4.847 ms, gemm_fp8(opt): 0.000 ms, gemm_int8(opt): 0.000 ms, gemm_bf16(opt): 3.927 ms ``` * improve fp8 gemm performance with large M * enable amx-int8 for gemm, fused moe, shared moe and qkv_proj kernels on PyTorch 2.7 * improve int8 gemm performance with large M * improve bf16 and int8 moe performance with large nbatches * update naming for nb0 and nb1 in fused gemm and silu_mul kernel * improve fp8 moe performance with large nbatches * remove hardcode numbers --------- Co-authored-by: mingfeima <mingfei.ma@intel.com>
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