There are some changes in API of OpenImageIO, but those are quite
simple to keep working with older and newer library versions.
Reviewers: brecht
Reviewed By: brecht
Differential Revision: https://developer.blender.org/D4064
It used to be used for some sort of ignoring automatically
generated bump nodes. But nowadays it causes one of the shaders
in Classroom demo file to be compiled wrong.
This is unfortunate, but the number of bugs in this configuration
keeps growing, and almost all of them are caused by bug in OpenCL
compiler.
The compiler is not likely to be fixed, since Apple declared OpenCL
deprecated.
This evil commit is aimed to keep officially supported features
of Blender in a good working and stable state.
The fix itself simply is to store the cage object as a pointer instead
of a string/name.
That said baking with or without cage is yielding very different results
than in 2.7.
This fixes our workaround for until proper solution is accepted
in upstream.
Now, when default view behaves same as it was supposed to (and
as it behaves in OCIO-1.0.9) it is obvious that our configuration
violates own design -- default view is used for cases when
images don't want to be displays using "render" settings.
This is something what is caused by OCIO library. The patch
has been submitted there:
https://github.com/imageworks/OpenColorIO/pull/638
For until it is refined and checked we do workaround from
our side.
While atomics library was trying to use "user-space" defined
LIKELY() and UNLIKELY(), this is not always true that user
code was checking for those macro coming from an unrelated
area.
This commit adds a sample-based profiler that runs during CPU rendering and collects statistics on time spent in different parts of the kernel (ray intersection, shader evaluation etc.) as well as time spent per material and object.
The results are currently not exposed in the user interface or per Python yet, to see the stats on the console pass the "--cycles-print-stats" argument to Cycles (e.g. "./blender -- --cycles-print-stats").
Unfortunately, there is no clear way to extend this functionality to CUDA or OpenCL, so it is CPU-only for now.
Reviewers: brecht, sergey, swerner
Reviewed By: brecht, swerner
Differential Revision: https://developer.blender.org/D3892
