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

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Installation | Documentation | Tutorials | Contributor Guide | Release Notes

TVM

TVM is a low level domain specific language(DSL) for compiling tensor computation pipelines. It is designed to compile multi-dimensional tensor algebra pipelines which are crucial to deep learning frameworks.

Documentation

The current documentation can be build locally via sphinx. See docs folder for details.

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

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