MasterJH5574 opened a new issue, #611:
URL: https://github.com/apache/tvm-ffi/issues/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@
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