Hi all, The Apache TVM community is happy to announce the release of Apache TVM v0.8.0.
Apache TVM v0.8.0 brings several major exciting experimental features, including: - PaddlePaddle frontend - TVMScript: round-trippable python-based syntax for TIR - TorchScript integration - TensorIR scheduling language - TensorRT and CUTLASS integration via BYOC - Int4 TensorCore support in AutoTVM - MicroTVM Project API and Zephyr, Arduino support - AOT executor - Robust Windows support - Affine analysis infra: iter-affine-map - Improved Vulkan backend - CUDA graph support in TVM runtime Besides, The community has been working together to refactor and evolve the existing infrastructure, including but not limited to: - Relay compilation engine - Relay pattern language - CI and build process - Refactoring documentation and tutorials - Stablizing AutoScheduler - Stablizing TVMC command line driver interface - Stablizing target system - Frontend coverage, quantization, dynamic shape, training Check out https://github.com/apache/tvm/releases/tag/v0.8.0 for the release note. A link to the download can be found here: https://dist.apache.org/repos/dist/release/tvm/tvm-v0.8.0/. Best regards, Apache TVM Team