Skip to content
/ tvm Public

Open deep learning compiler stack for cpu, gpu and specialized accelerators

License

Notifications You must be signed in to change notification settings

apache/tvm

This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.

Folders and files

NameName
Last commit message
Last commit date

Latest commit

8dc9e3f · Feb 1, 2021
Nov 16, 2020
Jan 14, 2021
Jan 28, 2021
Jan 22, 2021
Nov 21, 2020
Jan 18, 2021
Jan 23, 2021
Oct 29, 2020
Jan 29, 2021
Nov 24, 2020
Sep 26, 2020
Jan 12, 2021
Jan 29, 2021
Dec 26, 2020
Feb 1, 2021
Jan 29, 2021
Jan 25, 2021
Jan 19, 2021
Nov 24, 2020
Jan 21, 2020
Jan 8, 2019
Oct 24, 2020
Mar 31, 2020
Jan 26, 2021
Jan 28, 2021
Nov 15, 2019
Jan 23, 2021
Sep 26, 2020
Sep 26, 2020
Oct 12, 2020
Oct 12, 2020
Jun 27, 2020
Nov 24, 2020
Sep 11, 2020
Oct 9, 2020
Sep 2, 2020
Oct 29, 2020

Repository files navigation

Open Deep Learning Compiler Stack

Documentation | Contributors | Community | Release Notes

Build Status WinMacBuild

Apache TVM (incubating) is a compiler stack for deep learning systems. It is designed to close the gap between the productivity-focused deep learning frameworks, and the performance- and efficiency-focused hardware backends. TVM works with deep learning frameworks to provide end to end compilation to different backends.

License

© Contributors Licensed under an Apache-2.0 license.

Contribute to TVM

TVM adopts apache committer model, we aim to create an open source project that is maintained and owned by the community. Checkout the Contributor Guide

Acknowledgement

We learned a lot from the following projects when building TVM.

  • Halide: Part of TVM's TIR and arithmetic simplification module originates from Halide. We also learned and adapted some part of lowering pipeline from Halide.
  • Loopy: use of integer set analysis and its loop transformation primitives.
  • Theano: the design inspiration of symbolic scan operator for recurrence.