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<img src=https://raw.githubusercontent.com/tqchen/tvmlang.org/master/images/logo/tvm-logo-small.png width=128/> Tensor IR Stack for Deep Learning Systems
<img src=https://raw.githubusercontent.com/tqchen/tvmlang.org/master/images/logo/tvm-logo-small.png width=128/> Open Deep Learning Compiler Stack
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[![GitHub license](http://dmlc.github.io/img/apache2.svg)](./LICENSE)
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[Community](http://tvmlang.org/community.html) |
[Release Notes](NEWS.md)
TVM is a Tensor intermediate representation(IR) stack for deep learning systems. It is designed to close the gap between the
TVM 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.
Checkout the [tvm stack homepage](http://tvmlang.org/) for more information.