Improve docs & Rename Gemini -> VertexAI#19
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* support W8A8 for DeepSeek-R1 * add assertion on cpu_has_amx_support() * refactor device check in MoE
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* support W8A8 for DeepSeek-R1 * add assertion on cpu_has_amx_support() * refactor device check in MoE
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* support W8A8 for DeepSeek-R1 * add assertion on cpu_has_amx_support() * refactor device check in MoE
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* support W8A8 for DeepSeek-R1 * add assertion on cpu_has_amx_support() * refactor device check in MoE
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Support V2 V3 R1 style MLA decode
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* support W8A8 for DeepSeek-R1 * add assertion on cpu_has_amx_support() * refactor device check in MoE
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Co-authored-by: Robert Ru <key4ng@Roberts-Mac-Studio.local>
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opt layerwise prefill
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* port optimization for flash_attn_varlen_func * apply flash_attn_varlen_func
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* port layernorm 3d * apply layernorm * support for bias * fix * intf fix * add support for CPU * fix tp=3/6 padding issue in encoder vision * fix tp=3/6 padding issue in qwen3-omni * refactor code * add mrope * change attention_mask shape to use flash attn * add kernel apply_rotary_pos_emb_cpu * replace nn.Linear with ReplicatedLinear * enable torch.compile * construct mask using query.dtype instead of bool on CPU * add fast path for sparse attention * fix double free segfault by wrong setting of BLOCK_M * improve extend kernel performance for long context length * update test_extend.py * update comment * fix topk softmax performance issue * port optimization for image preprocessor in Qwen2VLImageProcessorFast * apply optimization for image preprocessor * update docker file * optimize conv3d used in patch embedding * resolve conflict * apply optimized conv3d * apply optimization for flash_attn_varlen_func (sgl-project#19) * port optimization for flash_attn_varlen_func * apply flash_attn_varlen_func * remove contiguous before rope (sgl-project#20) * Revert "resolve conflict" This reverts commit 7622f6d. * fix after rebase * Update pyproject_cpu.toml * Update xeon.Dockerfile * minor fix after rebase * rope: add support for bf16 sincos (sgl-project#102) * format * Update xeon.Dockerfile * odd tp for cpu * Apply linear_gelu_linear and fix numa memory bind (sgl-project#22) * [CPU] Optimize small oc GEMM for Qwen3-next on CPU (sgl-project#12446) Co-authored-by: Zheng, Beilei <beilei.zheng@intel.com> * port linear_gelu_linear kernel * apply linear_gelu_linear for TP=1 * fix numa memory bind * apply parallel partition patch --------- Co-authored-by: jianan-gu <jianan.gu@intel.com> * Revert "Fix: test_vlm_offline_throughput output throughput (sgl-project#13279)" (sgl-project#101) This reverts commit 7ee3e36. * fix input dtype mismatch issue * apply optimized layernorm --------- Co-authored-by: Zheng, Beilei <beilei.zheng@intel.com> Co-authored-by: ZailiWang <zaili.wang@intel.com> Co-authored-by: mingfeima <mingfei.ma@intel.com> Co-authored-by: jianan-gu <jianan.gu@intel.com>
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