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Blender 2.6 Bug Tracker: Browse
[#32752] Cuda on OSX Mac Book Pro Retina GT 650M
Date:
2012-10-04 10:45
Priority:
3
State:
Closed
Submitted by:
detlef mueller (
dettty
)
Assigned to:
Nobody (None)
Category:
OS related: OSX
Status:
Closed
Relates to:
Duplicates:
Patches:
Summary:
Cuda on OSX Mac Book Pro Retina GT 650M
Detailed description
After Discussing already that the blender does not see the graphic card as computing device, I did more tests. I was able to run Adobe CS6 mercury engine, which is also cuda based, without problems. Also Cuda-Z Application does recognize the graphics card and delivers results out oh their performance tests.
I have installed the latest Cuda driver: 5.0.36
see also Blender 2.6 Bug Tracker item #32534
Followup
Message
Date
: 2012-10-04 11:29
Sender
:
Thomas Dinges
OSX does not come with precompiled CUDA Kernels, you have to install the CUDA Toolkit 4.2 first.
Date
: 2012-10-04 13:58
Sender
:
detlef mueller
What does that mean? To run Cycles with CUDA in OSX I have to install the Toolkit? I thought the toolkit is necessary for developers.
Date
: 2012-10-04 14:03
Sender
:
Thomas Dinges
The Toolkit is needed to compile the Cycles CUDA Kernels. We pre-build and bundle them for Linux and Windows, but not for Mac OS. You can download it here:
http://developer.nvidia.com/cuda/cuda-downloads
Date
: 2012-10-04 14:20
Sender
:
detlef mueller
o.k. its finding now the cuda graphics card. When I set the Device to GPU compute the following error message pops up:
Compiling CUDA kernel ...
gcc: No such file or directory
CUDA kernel compilation failed, see console for details.
both in Experimental and Supported feature set.
The screen stays with a dark checker board
Date
: 2012-10-04 14:29
Sender
:
Thomas Dinges
You need the GCC compiler as well for your operating system.
Date
: 2012-10-04 14:58
Sender
:
detlef mueller
works now., but its weird if you only want to use a software, that you have to install all of this tools ;-(
Date
: 2012-10-04 15:30
Sender
:
Thomas Dinges
Our Mac maintainer says its problematic to bundle the kernels.
Closing the report.
Date
: 2012-10-04 16:03
Sender
:
jens verwiebe
It was my decision to ...
1. not to give advantage to Nv/cuda vs. AMD/openCL users
2. not to deliver something i cannot test myself
Easiest solution: get cuda kernels from graficall builds and copy to the /scripts/cache
To be always on the newest cuda revision ( may vary with OSX used ): get Cuda-Toolkit + cmdline-tools from Apple and compile kernels yourself.
Jens
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Changes:
Field
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Date
By
status_id
Open
2012-10-04 15:16
dingto
close_date
None
2012-10-04 15:16
dingto
Status
New
2012-10-04 15:16
dingto