https://github.com/dmlc/tvm

End to end Tensor IR/DSL stack for deploying deep learning workloads to hardwares

TVM: Tensor IR Stack for Deep Learning Systems

Installation | Documentation | Tutorials | Operator Inventory | FAQ | Contributors | Release Notes

TVM is a Tensor intermediate representation(IR) 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. Checkout our announcement for more details.

License

© Contributors, 2017. 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.

• Contributor Guide
• Please add your name to CONTRIBUTORS.md
• Please also update NEWS.md on changes and improvements in API and codes.