Apache TVM v0.10.0 Release

The Apache TVM community is happy to announce the release of TVM v0.10.0.

The TVM community has worked since the v0.10.0 release to deliver many exciting features and improvements.

  • Metaschedule
    • Software pipelining and padding for irregular shapes for auto tensorization
    • Stabilized and polished user-interfaces (e.g. database changes, tune_relay)
    • A new MLP-based cost model
  • TIR
    • New schedule primitive for PadEinsum
    • A new TIR node: DeclBuffer
    • INT8 Intrinsics for TensorCores for CUDA!
  • microTVM
    • Improved schedule primitives for ARM v8-m ISA

Check out the release notes on GitHub and the source download here.

1 Like

Hi AndrewZhaoLuo, why is the v0.10.0 release version same as v0.10.0 rc0 version? https://github.com/apache/tvm/releases/download/v0.10.0/apache-tvm-src-v0.10.0.rc0.tar.gz

rc0 is a “Release Candidate”, that we then vote on whether to release (https://lists.apache.org/thread/5qpcz06mw0xnnj6hdrm906xc71nfrw7t). If I recall correctly, the actual version is derived using git (https://github.com/apache/tvm/blob/main/version.py#L58) so no code change is required.

Thanks for reply. Cheers!