TVM Stack

TVM stack is a unified optimization stack that will close the gap between the productivity-focused deep learning frameworks, and the performance- or efficiency-oriented hardware backends. The project contains the following components

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Checkout our techreport TVM: An Automated End-to-End Optimizing Compiler for Deep Learning and latest updates at tvm.ai.

People

Lianmin Zheng
Interned in 2018. Now at Berkeley Ph.D. program.
Haichen Shen
Ph.D., 2018. Now at AWS AI.
Luis Ceze
Professor
Logan Weber
Logan Weber
Zachary Tatlock
Assistant Professor