ref(upstream): FULL TREE — Deep-Spark xllm (1470) + ds_vllm csrc/models (703)
Replaces cherry-picked upstream_ref with complete source trees. xllm/ — Iluvatar official C++ inference engine (15MB, 1470 files) Complete: kernels → layers → models → runtime → scheduler → api Excluded: .git, binary images, third_party submodule checkouts ds_vllm/ — Iluvatar official vllm fork (8MB, 703 files) Included: csrc/ (ALL CUDA kernels), fused_moe/, qwen3_5 model, _custom_ops Excluded: tests, benchmarks, docs, examples (not needed for reference) Critical call chains now fully traceable: MoE: moe_topk_softmax_kernels.cuh → ixformer.h → fused_moe.cpp → layer GDN: qwen3_gated_delta_net_base.cpp → qwen3_5_gated_delta_net.cpp Attention: ixformer.h → xllm_paged_attention → attention.cpp
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upstream_ref/xllm/.gitignore
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upstream_ref/xllm/.gitignore
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# Visual Studio Code
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/.vscode*
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# Idea
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/.idea
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/cmake-build-debug/
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/cmake-build-release/
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# CMake
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/build*
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# vcpkg
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/.vcpkg*
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# cache
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/.*cache
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# deps
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/.deps
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# libtorch
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/libtorch
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# tests
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/Testing*
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# rust
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Cargo.lock
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# distribution / packaging
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.Python
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build/
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dist/
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eggs/
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.eggs/
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sdist/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# Python module builds
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*.egg-info/
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xllm/*.pyd
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xllm/*.so
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xllm/version.py
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__pycache__/
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.pkl_memoize_py3/
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# compile_commands.json from nvbench
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compile_commands.json
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# ascend kernel meta files
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/kernel_meta
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# local files
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/local
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/logs
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/log
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