TVM is a full stack open deep learning compiler stack for CPUs, GPUs, and specialized accelerators. It aims to close the gap between the productivity-focused deep learning frameworks, and the performance- or efficiency-oriented hardware backends.
Started: 2019-03-06; Last Status Update: 2019-08-02
Reporting: January, April, July, October
PPMC members: 12
Mentors: Byung-Gon Chun (bgchun), Sebastian Schelter (ssc), Henry Saputra (hsaputra), Timothy Chen (tnachen), Furkan Kamaci (kamaci), Tianqi Chen (tqchen)
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