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
32 lines
974 B
YAML
32 lines
974 B
YAML
name: 🚀 Feature request
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description: Submit a request for a new feature
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title: "[Feature]: "
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labels: ["feature"]
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body:
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- type: markdown
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attributes:
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value: >
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#### Before submitting an issue, please make sure the issue hasn't been already addressed. please search: [existing issues](https://github.com/jd-opensource/xllm/issues).
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- type: textarea
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attributes:
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label: 🚀 The motivation and feature
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description: >
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A clear and concise description of the feature proposal. Please outline the motivation for the proposal.
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validations:
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required: true
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- type: textarea
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attributes:
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label: Alternatives
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description: >
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A description of any alternative solutions or features you've considered, if any.
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- type: textarea
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attributes:
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label: Additional context
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description: >
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Add any other context or screenshots about the feature request.
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- type: markdown
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attributes:
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value: >
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Thanks for contributing 🎉!
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