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
48 lines
1.7 KiB
Markdown
48 lines
1.7 KiB
Markdown
<!-- Copyright 2025 JD.com
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this project except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. -->
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[English](./CONTRIBUTING.md) | [中文](./CONTRIBUTING_zh.md)
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# xLLM 贡献指南
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xLLM致力于为每一位用户和开发者提供开放的XX，因此无论您是XX开发者还是专注于XX用户，我们都欢迎您参与我们的项目。
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您可以通过以下方法为项目作出贡献：
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+ 撰写/翻译/修改文档
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+ 提出或回答问题
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+ 提供使用或测试样例
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+ 提供建议或其他评论
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+ 参与[issues](https://github.com/xxx/xLLM/issues) 或[discussions](https://github.com/xxx/xLLM/discussions)
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+ 提交Pull request
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+ 分享相关研究或应用场景
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+ 其他任何对xLLM的帮助
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如果您希望参与xLLM的开发，请参考以下提示：
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## 1. 选择参与贡献的issue
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+ 您可以选择带有`PR welcome`标签的issue，包括:
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+ 可复现的bug
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+ 计划实现的功能
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## 2. 配置开发环境
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+ 在开发之前，可以参考我们的 **[文档](http://xxx/docs/)**
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+ 关于环境配置，参见 **[Readme file](/README.md)**
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## 3. 项目构建和运行
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+ 您可以运行如下样例：
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## 4. 测试
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在pr提交之后，我们会对代码进行格式化及进一步测试。
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我们的测试目前还很不完善，因此欢迎开发者为测试作出贡献！ |