Codes, experience and docs concerning TVM.
Codes, experience and docs concerning TVM.
TVM是由陈天奇团队推出的深度学习优化框架，是一种将深度学习工作负载部署到硬件的端到端IR（中间表示）堆栈。它使得开发人员能够快速、轻松地将深度学习的能力部署和优化到大量硬件设备上。
TVM GitHub repo: https://github.com/dmlc/tvm
本仓库以目录的形式收集与TVM相关的信息，例如：测试代码、博客、论文、相关资料等。这些信息一部分由维护本仓库的研究小组产出，另一部分则来自于互联网。因为有关TVM的中文资料目前还比较少，我们希望通过本仓库汇集有用的信息，贡献一些自己的力量。
01. 论文 Papers
02. 测试代码 Codes
03. 书签 Bookmarks
04. 文件 Files
目前本仓库由来自杭州电子科技大学的一个研究小组维护，他们是：
黄晓峰老师（导师）
章天杰 Blog GitHub
倪骏龙 GitHub
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