Search Results for author: Ruihang Lai

Found 4 papers, 2 papers with code

SparseTIR: Composable Abstractions for Sparse Compilation in Deep Learning

2 code implementations11 Jul 2022 Zihao Ye, Ruihang Lai, Junru Shao, Tianqi Chen, Luis Ceze

We propose SparseTIR, a sparse tensor compilation abstraction that offers composable formats and composable transformations for deep learning workloads.

TensorIR: An Abstraction for Automatic Tensorized Program Optimization

2 code implementations9 Jul 2022 Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen

Finally, we build an end-to-end framework on top of our abstraction to automatically optimize deep learning models for given tensor computation primitives.

BIG-bench Machine Learning

Tensor Program Optimization with Probabilistic Programs

no code implementations26 May 2022 Junru Shao, Xiyou Zhou, Siyuan Feng, Bohan Hou, Ruihang Lai, Hongyi Jin, Wuwei Lin, Masahiro Masuda, Cody Hao Yu, Tianqi Chen

Experimental results show that MetaSchedule can cover the search space used in the state-of-the-art tensor program optimization frameworks in a modular way.

Probabilistic Programming

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