002f9879b2
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
37 lines
1.2 KiB
TOML
37 lines
1.2 KiB
TOML
[build-system]
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requires = ["setuptools>=68", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "xllm"
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description = "A high-performance inference system for large language models."
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requires-python = ">=3.10"
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license = { text = "Apache 2.0" }
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authors = [{ name = "xLLM Team", email = "infer@xllm.ai" }]
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dynamic = ["readme", "version"]
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classifiers = [
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"Intended Audience :: Developers",
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"Intended Audience :: Education",
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"Programming Language :: C++",
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"Programming Language :: Python :: 3 :: Only",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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"Operating System :: POSIX",
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"License :: OSI Approved :: Apache Software License",
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"Topic :: Scientific/Engineering",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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]
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[project.urls]
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Homepage = "https://xllm.readthedocs.io/zh-cn/latest/"
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Documentation = "https://xllm.readthedocs.io/zh-cn/latest/"
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Repository = "https://github.com/jd-opensource/xllm"
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[project.scripts]
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xllm = "xllm.launch_xllm:launch_xllm"
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[tool.setuptools.dynamic]
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readme = { file = ["README.md"], content-type = "text/markdown" }
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version = { file = ["version.txt"] }
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