project_6/upstream_ref

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 kernels
• xllm/core/layers/ilu/ — Iluvatar FusedMoE完整pipeline
• xllm/core/layers/npu_torch/ — GatedDeltaNet C++ implementation
• xllm/models/llm/qwen3_5.h — Qwen3.5 model definition
• xllm/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_softmax
• vllm/_custom_ops.py — Python → torch.ops._moe_C bridge
• vllm/model_executor/models/qwen3_5.py — ds_vllm的qwen3_5实现
• vllm/model_executor/layers/fused_moe/ — vllm FusedMoE Python layer