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TVM: Tensor IR Stack for Deep Learning Systems

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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.

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© Contributors, 2017. Licensed under an Apache-2.0 license.

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

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

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