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Apache TVM is a compiler stack for deep learning systems. It is designed to close the gap between theproductivity-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.
TVM is licensed under theApache-2.0 license.
Check out theTVM Documentation site for installation instructions, tutorials, examples, and more.TheGetting Started with TVM tutorial is a greatplace to start.
TVM adopts apache committer model, we aim to create an open source project that is maintained and owned by the community.Check out theContributor Guide.
We learned a lot from the following projects when building TVM.
- Halide: Part of TVM's TIR and arithmetic simplification moduleoriginates 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.