Port 6641#14
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jianan-gu merged 12 commits intohybrid_devicefrom Jun 12, 2025
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* Use fused_experts_cpu and add weight packing * add check on whether AMX is supported * move utils to cpu_utils.py * address comment * no need to pass in is_vnni since it's True by default; change inplace to True * refactor prepack_weight_if_needed * Only import sgl_kernel.cpu once
* switch to weight_packed_linear if cpu_has_amx_support * add self.use_intel_amx_backend
* Switch torch.bmm to sgl_kernel.cpu.bmm * check if transpose_dims[i] is None * remove memory copies
* Integrate qkv_proj_with_rope * add forward_absorb_fused_mla_rope_cpu
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sgl-project#6641