Minutes_2021_11_09

Numba Meeting: 2021-11-09

Attendees: Siu Kwan Lam, Graham Markall, Jim Pivarski, Nick Riasanovsky, stuart, val, Luk, Todd Anderson, brandon willard

NOTE: All communication is subject to the Numba Code of Conduct.

Python 3.10 update
- ~20/9000 test failures (getting close)
- hash(float("nan")) changed to base on id() so it is random
Discussion on Don't embed current thread count into parallel=True functions so that they can be cacheable. #7522
- cgutils.for_range
Discussion on Flags
- these: @njit(flags1=..., flags2, ..., opt=...)

#7526 - Implement np.shape for nestedarray
#7527 - Incorrect result of info locals and info args commands when debugging w/ GDB
#7528 - Implement array reshape for CUDA
#7530 - Reminder to postpone deprecation of eager compilation of CUDA device functions.
#7531 - NumbaWarning: The TBB threading layer requires TBB version 2021 update 1 or later i.e., TBB_INTERFACE_VERSION >= 12010. Found TBB_INTERFACE_VERSION = 11102. The TBB threading layer is disabled. warnings.warn(problem)
#7532 - numba-core-cpu-importing-stuff-from-numba-experimental
#7533 - Missed optimization on typed lists
#7534 - Include non-temporal JIT annotations to speed up memory-bound codes filling big arrays
#7535 - Slower string manipulation performance than CPython
#7536 - from numba.core.typeconv import _typeconv
- Suggest to document this and all the reasons for why it can happen. The reason why people are suggesting to install 0.47.0 is because this is the last version, before we refactored everything into core.
  - this can happen if old and new versions of Numba become conflated
  - this can also happen....
#7540 - [Docs] Jitclass support for type annotation not documented on main page
#7541 - [Idea] A less verbose @jitclass interface with type hints
#7542 - [Docs] Wrong link to np_shape source code in docs

Request for 0.55
- broadcast_to https://github.com/numba/numba/pull/7119
  - driven by need for vectorize support in aesara
  - Now merged