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
28 lines
746 B
YAML
28 lines
746 B
YAML
# Read the Docs configuration file
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# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details
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# Required
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version: 2
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# Set the OS, Python version, and other tools you might need
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build:
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os: ubuntu-24.04
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tools:
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python: "3.13"
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jobs:
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pre_build:
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# - cp -r docs/en/* docs/
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- mv docs/en/* docs/
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- rm -rf docs/zh/
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- find docs/ -name "*.md" -exec sed -i 's#../assets/#assets/#g' {} \;
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# Build documentation with Mkdocs
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mkdocs:
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configuration: mkdocs_en.yml
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# Optionally, but recommended,
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# declare the Python requirements required to build your documentation
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# See https://docs.readthedocs.io/en/stable/guides/reproducible-builds.html
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python:
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install:
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- requirements: docs/requirements.txt |