Minutes_2021_05_18
Valentin Haenel edited this page May 18, 2021
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1 revision
Attendees: Jim Pivarski, brandon willard, Graham Markall, Guilherme, Todd A. Anderson, Siu Kwan Lam, stuart, Valentin Haenel
NOTE: All communication is subject to the Numba Code of Conduct.
- Numpy 1.20 and dropping older numpy and maybe 32-bit platforms
- win32 testing by Awkward
- win32 is more common on cloud CI
- linux32 is harder to get on cloud CI
- Stale PR bot / action?
- issues from previous investigation
- GH query filtering becomes unreliable when number of issues/labels is large.
- GH ticket https://support.github.com/ticket/personal/0/834117
- Will give it a try and see how well it works out
- issues from previous investigation
- Numba youtube channel for developer tutorials:
- Numba-backend in Aesara https://github.com/pymc-devs/aesara/releases/tag/rel-2.0.8
-
#7034 -
DEBUG_JIT
is undocumented and only works for the CPU target - #7033 - Unsupported op-code encountered: list_to_tuple (only with Python 3.9)
- #7032 - Slicing UniTuple in a loop fails
-
#7029 -
.view()
for NumPy types broken if the view type is a complex type - #7028 - memory leak caused by racing conditions in parallel loop
-
#7023 - Using operator module as mapping fails when compiling
- bug/feature request, literalstrkeydict is intercepting code too early.
-
#7022 - ir not imported
- consider getting rid of it.
- #7014 - [BUG] cannot pickle generator when there is only one function that uses input
- #7026 - Poor performance on cuda const memory
- #7017 - unittest: tbb test fork from non main thread is broken on mainline
- #7015 - List CUDA Array Intefrace support for NVIDIA DALI
- #7031 - Fix inliner to use a single scope for all blocks
- #7030 - Fixes missing typing_extensions dependency on gitpython
- #7027 - Fix nrt debug print
- #7025 - Add missing vars into scope during SSA rewrite
- #7024 - fixed llvmir usage in create_module method
-
#7021 - Debug cache location in failing test
**** - #7019 - Support NumPy 1.20
- min numpy 1.17
- 32-bit platform missing conda packages for newer numpy