JuliaGPU/CUDA.jl

cuDNN: Provide wrappers for the declarative API

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#2,266 创建于 2024年2月14日

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 (3 评论) (0 反应) (0 负责人)Julia (1,408 star) (274 fork)batch import
enhancementhelp wanted

描述

As part of cuDNN 9.0, the old imperative API has been deprecated, while moving towards a new, graph-based declarative API. That means that our wrappers will have to be rewritten. As I'm not familiar with machine learning / NNlib.jl (which I guess these wrappers would need to be compatible with), I'm hoping that people from the ML community could be able to help with this.

cc @ToucheSir @CarloLucibello @mcabbott @DhairyaLGandhi

贡献者指南

技术栈
ccpp
领域
machine learningapi
议题类型
feature
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
4
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
over 1 week
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
active
清晰度议题是否清楚说明期望改动、验收标准和下一步。
mostly clear
前置要求
Knowledge of cuDNN declarative APIFamiliarity with Julia and CUDA.jlUnderstanding of NNlib.jl
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
15
研究方向
Review the cuDNN 9.0 declarative API documentation and the existing imperative wrappers in CUDA.jl. Understand the NNlib.jl interface requirements. Discuss with maintainers and the ML community to design the new wrapper API. Implement and test the wrappers.