MasterJH5574 created an issue (apache/tvm#19702) Dear TVM community,
This is a call for vote to release Apache TVM version v0.25.0. Release highlights: * Deeper tvm-ffi integration: the arithmetic `Analyzer` is now a tvm-ffi `Object`, structural APIs and IRModule JSON serialization are routed directly through tvm-ffi, and related FFI/header cleanups across the codebase. * TIRx infrastructure bring-up: initial TIRx infra with op-dispatch / codegen / TVMScript follow-ups and updated scoped ops and CUDA launch bounds. * Major Relax TFLite frontend expansion: LSTM / RNN / SVDF, Conv3D and CONV_3D_TRANSPOSE, REDUCE_WINDOW, quantized import via QDQ decomposition, resource variables / static hashtables, embedding-lookup-sparse, segment ops, and StableHLO + control-flow multi-subgraph support. * Relax ONNX correctness and ONNX Runtime parity: NaN/Inf handling for Sign / Cast / Clip / Div, RMSNormalization (opset 23), TopK scalar-K, Gather negative indices, ScatterElements reduction, NonMaxSuppression defaults, plus systematic ONNX backend tests. * Relax PyTorch fixes: segfault in `from_exported_program` with `index_put_`, `correction` in std/var, multi-axis `flip`, `logical_not`, and integer `pow` decomposition. * TIR / codegen: cooperative_tensor builtins with a `metal.cooperative_tensor` storage scope; CUDA fast-math intrinsic lowering gated behind a target/PassContext option; LLVM transcendental functions (sinh/cosh/atan/asin/acos/erf) routed through libm; Vulkan barrier fix. * Arithmetic robustness: memoized IntervalSet variable relaxation to avoid exponential blowup, and a canonical-simplify correctness fix. * Runtime / build: device runtime modularized into per-backend DSOs. * WebGPU/WASM: OPFS synchronous access handles and committed records, and persistent URL→hash mapping across page loads. * Security: fix missing `exported` flag in AndroidManifest; bound RPC tracker message size. Link to release candidate: https://dist.apache.org/repos/dist/dev/tvm/tvm-v0.25.0-rc0/ Link to GitHub pre-release page (full release notes): https://github.com/apache/tvm/releases/tag/v0.25.0.rc0 Pre-release wheels are also published on PyPI for testing: `pip install --pre apache-tvm==0.25.0rc0` Everyone is welcomed to vote. Please vote by replying to this thread explicitly. According to release procedure, [for the dev@ vote, there must be at least 3 binding +1 votes and more +1 votes than -1 votes](https://tvm.apache.org/docs/contribute/release_process.html?highlight=release#call-a-vote-on-the-release-candidate). +1 = approve +0 = no opinion -1 = disapprove (provide reason) NOTE: this thread is being mirrored in dev@ This vote will remain open for at least 72 hours. -- Reply to this email directly or view it on GitHub: https://github.com/apache/tvm/issues/19702 You are receiving this because you are subscribed to this thread. Message ID: <apache/tvm/issues/[email protected]>
