d025b08a95
搬运 jd-opensource/xllm 最新代码到 upstream_ref/xllm_latest/: - core/kernels/ilu/ 10 files (ixformer.h API 不变) - core/layers/ilu/ 4 files (fused_moe.cpp config 访问从 FLAGS→singleton) - core/layers/npu_torch/ 14 files (qwen3_gated_delta_net_base.cpp 576→1164行, 新增 repeat_tensor_heads, checkpoint_stride, spec_verify 等 GDN 功能) - models/llm/ 5 files (qwen3_5.h 模型注册重构, 新增 qwen3_5_mtp_base.h) - models/vlm/ 1 file (qwen3_5.h 218→440行) serving_chat.py: 还原到8030a11b原版,删掉6dcf3590的语法错误 min(8192, (缺右括号导致 py_compile 失败)
Upstream Reference: Deep-Spark xllm + vllm (FULL TREE)
Source repos (cloned 2026-08-09, Apache 2.0):
Deep-Spark/xllm— Iluvatar official C++ LLM inference engine (1470 files)Deep-Spark/vllm— Iluvatar official vllm fork (703 files, csrc + model layer)
What's here
xllm/ (complete source minus git/binaries/submodules)
天数智芯官方下一代推理引擎，C++ 原生，多平台(CUDA/ILU/MLU/NPU)。 包含 kernels → layers → models → runtime → scheduler → api_service 完整栈。
Key subtrees:
xllm/core/kernels/ilu/— ixformer API wrappers (ixformer.h是金矿)xllm/core/kernels/cuda/moe/— MoE CUDA kernels (topk_softmax, fused_topk)xllm/core/kernels/cuda/— activation, norm, rope, attention CUDA kernelsxllm/core/layers/ilu/— Iluvatar FusedMoE完整pipelinexllm/core/layers/npu_torch/— GatedDeltaNet C++ implementationxllm/models/llm/qwen3_5.h— Qwen3.5 model definitionxllm/compiler/tilelang/— GDN kernel code generation
ds_vllm/ (csrc + model layers + fused_moe)
天数智芯官方vllm fork，Python + CUDA torch extension。
csrc/— ALL CUDA source (attention, moe, quantization, cache)csrc/libtorch_stable/moe/topk_softmax_kernels.cu— vllm topk_softmaxvllm/_custom_ops.py— Python → torch.ops._moe_C bridgevllm/model_executor/models/qwen3_5.py— ds_vllm的qwen3_5实现vllm/model_executor/layers/fused_moe/— vllm FusedMoE Python layer