by the transform constraint lines
Ported over e7395c75d504af2c2f720f43ea27b93e04a378e4 from the
greasepencil-object branch. I should've fixed this ages ago, but
couldn't figure out why at the time.
One crucial thing here: OpenVDB shoudl be compiled WITHOUT
OPENVDB_ENABLE_3_ABI_COMPATIBLE flag. This is how OpenVDB's Makefile is
configured and it's not really possible to detect this for a compiled library.
If we ever want to support that option, we need to add extra CMake argument and
use old version 3 API everywhere.
Even if pointer assignment may be atomic, it does not prevent reordering
and other nifty compiler tricks, we need a memory barrier to ensure not
only that transferring pointer from wip array to final one is atomic,
but also that all previous writing to memory are “flushed” to
(visible by) all CPUs...
Thanks @sergey for finding the potential (though quite unlikely) issue.
It has been deprecated since at least macOS 10.9 and fully removed in 10.12.
I am unsure if we should remove it only in 2.8. But you cannot build blender with it supported when using a modern xcode version anyway so I would tend towards just removing it also for 2.79 if that ever happens.
Reviewers: mont29, dfelinto, juicyfruit, brecht
Reviewed By: mont29, brecht
Subscribers: Blendify, brecht
Maniphest Tasks: T52807
Differential Revision: https://developer.blender.org/D2333
-No more hardcoded python35/36 tokens in the scripts
-disabled python module for boost, was not used
-Updated patches for python to support building with msvc2013
For the first bounce we now give each BSDF or BSSRDF a minimum sample weight,
which helps reduce noise for a typical case where you have a glossy BSDF with
a small weight due to Fresnel, but not necessarily small contribution relative
to a diffuse or transmission BSDF below.
We can probably find a better heuristic that also enables this on further
bounces, for example when looking through a perfect mirror, but I wasn't able
to find a robust one so far.
Similar to what we did for area lights previously, this should help
preserve stratification when using multiple BSDFs in theory. Improvements
are not easily noticeable in practice though, because the number of BSDFs
is usually low. Still nice to eliminate one sampling dimension.
