[Python-Dev] If aligned_alloc() is missing on your platform, please let us know.
ncoghlan at gmail.com
Sat Oct 28 01:43:47 EDT 2017
On 27 October 2017 at 18:17, Stefan Krah <stefan at bytereef.org> wrote:
> Victor wrote a patch and would like to avoid adding a (probably
> emulation function. I agree with that.
> So if any platform does not have some form of aligned_alloc(), please
> speak up.
I think Victor's suggested strategy in
https://bugs.python.org/issue18835#msg305122 of deferring emulation support
to its own follow-up issue is a good one, since there are two distinct
cases to consider:
1. CPython's own support for platforms where we don't have a native aligned
memory allocation API to call is covered by PEP 11, so if all current
buildbots still work, then it will be up to the folks interested in a
platform that *doesn't* offer aligned allocations to provide both a
suitable emulation and a buildbot to test it on.
2.While all of the CPython-provided memory allocators will implement the
new slots, the folks implementing their own custom allocators will need a
defined upgrade path in the "Porting" section of the What's New guide. For
that, an explicit error on 3.7+ that says "Configured custom allocator
doesn't implement aligned memory allocations" is likely going to be easier
to debug than subtle issues with the way an implicit emulation layer
interacts with the other memory allocator slots.
To appropriately address 2, we need more info not about which platforms
natively support aligned memory allocations, but rather from folks that
actually are implementing their own custom allocators. It may be that
making the low level cross-platform raw alligned allocators available as a
public API (independently of the switchable allocator machinery) will be a
more appropriate way of handling that case than providing an emulation
layer in terms of the old slots.
That is, the suggested approach for custom allocator developers would be:
1. Test against 3.7, get an error complaining the new slots aren't defined
2. Set the new slots to the CPython provided cross-platform abstraction (if
appropriate), or else wrap that abstraction layer as needed, or else
implement your own aligned allocation routines
If the only reason for the custom allocator was to allow tracemalloc to
track additional memory that wouldn't otherwise be handled through
CPython's memory allocators, then consider switching to using
Either way, that transition strategy discussion shouldn't block making the
feature itself available - it will be a lot easier to discuss transition
enablement if potentially affected folks can download 3.7.0a3 and tell us
what actually breaks, rather than asking them to speculate about what they
think *might* break.
Nick Coghlan | ncoghlan at gmail.com | Brisbane, Australia
-------------- next part --------------
An HTML attachment was scrubbed...
More information about the Python-Dev