Apache's TVM Deep Learning Compiler Picks Up WebAssembly, Better Rust Support

Written by Michael Larabel in Programming on 3 October 2020 at 03:43 AM EDT. Add A Comment
The first release candidate of TVM 0.7, the Apache incubator project providing a deep learning compiler stack, is now available.

Apache TVM is a compiler stack for deep learning systems in providing end-to-end compilation support for a variety of back-ends from all of the models from key deep learning frameworks. TVM supports a variety of targets including the leveraging of LLVM for supporting code generation on the major CPU architectures as well as the likes of NVIDIA CUDA. With the Apache 0.7 release candidate there is even WebGPU and WebAssembly support for outputting to those browser-focused standards.

In addition to supporting WebGPU/WASM, the TVM 0.7-rc0 release also adds automatic scheduling support, an initial command-line driver interface, better support for the Rust programming language, Hexagon target support, and "bring your own code generator" (BYOC) support to the compiler stack.

Those into deep learning can learn more about this deep learning compiler stack with the v0.7-rc0 release at GitHub. If this is your first time hearing of Apache TVM, learn more about it at tvm.apache.org.
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Michael Larabel is the principal author of Phoronix.com and founded the site in 2004 with a focus on enriching the Linux hardware experience. Michael has written more than 20,000 articles covering the state of Linux hardware support, Linux performance, graphics drivers, and other topics. Michael is also the lead developer of the Phoronix Test Suite, Phoromatic, and OpenBenchmarking.org automated benchmarking software. He can be followed via Twitter, LinkedIn, or contacted via MichaelLarabel.com.

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