MasterJH5574 created an issue (apache/tvm-ffi#611) Dear community:
This is a call for vote to release apache-tvm-ffi version v0.1.12. The main highlights of this release are * `AnyView` is now trivially copyable, matching C-ABI struct passing semantics * New Python `Tensor` methods aligned with the C++ APIs * `Expected<T>` optimized for minimal compiled code size and efficiency; new `TVM_FFI_COLD_CODE` / `TVM_FFI_PREDICT_FALSE` macros with cold-marking of error paths * `ostream operator<<` support for `Any` / `ObjectRef` / `Variant` / `Optional`, and streamlined `AccessPath` / `AccessStep` print format * Reflection upgrades: `reflection::overload_cast` for overloaded function registration; `SEqHashDef` split into recursive and non-recursive variants; `VisitErrorContext` for visit-context-aware error reporting * OrcJIT: per-session slab-pool memory manager * Bug fixes * Fix `py_class` field collection from plain (non-FFI) base classes * Prefer upstream PyTorch DLPack API in the torch extension loader on ROCm * Use `$crate::` in Rust `tvm_ffi_dll_export_typed_func!` and `ensure!` macros Link to draft release notes: https://github.com/apache/tvm-ffi/releases/tag/v0.1.12-rc0 Link to release candidate: https://dist.apache.org/repos/dist/dev/tvm/tvm-ffi-v0.1.12-rc0/ Everyone is welcomed to vote. Please vote by replying to this thread explicitly. The vote will last at least 72 hours, please vote +1 = approve +0 = no opinion -1 = disapprove (provide reason) NOTE: this thread is being mirrored in dev@ -- Reply to this email directly or view it on GitHub: https://github.com/apache/tvm-ffi/issues/611 You are receiving this because you are subscribed to this thread. Message ID: <apache/tvm-ffi/issues/[email protected]>
