osx
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Hi,
have you tested it on osx with cuda 6 installed?
Thanks,
Gerald
yes that is what I used.
cmake will use CMakeLists.txt ?
@geraldstanje yes just type: cmake . and by default it will use CMakeLists.txt.
nice.
i tried to rewrite Alex's makefile, but this ended up being ugly...
i guess it compiles with clang?
can i use the your cmake file to compile cuda-convnet2?
yes you can certainly use these CMakeLists.txt files and modify them for cuda-convnet2. I think you might need to add support for finding OpenCV which cuda-convnet2 uses... so give it a try.
ok cool. are there any other performance improvements on cuda-convnet2?
thanks for info.
you have been referenced here, which is a nice intro:
https://www.youtube.com/watch?v=W9_SNGymRwo
2014-08-05 10:37 GMT+02:00 Kashif Rasul notifications@github.com:
yes you can certainly use these CMakeLists.txt files and modify them for
cuda-convnet2. I think you might need to add support for finding OpenCV
which cuda-convnet2 uses... so give it a try.—
Reply to this email directly or view it on GitHub
#14 (comment).
Hi guys, I'm also trying to run cuda-convnet on my mac os 10.10. First I tried to install Atlas package as Alex suggest (for linux). Then, I discovery I don't need this for mac, is that correct? Now I'm trying to compile using your Cmake file. I'm getting the following errors:
A library with BLAS API found.
CMake Error: The following variables are used in this project, but they are set to NOTFOUND.
Please set them or make sure they are set and tested correctly in the CMake files:
BLAS_INCLUDE_DIRS
used as include directory in directory /Users/Gui/Documents/Apps/cuda-convnet-master
used as include directory in directory /Users/Gui/Documents/Apps/cuda-convnet-master
used as include directory in directory /Users/Gui/Documents/Apps/cuda-convnet-master/src/common
used as include directory in directory /Users/Gui/Documents/Apps/cuda-convnet-master/src/nvmatrix
used as include directory in directory /Users/Gui/Documents/Apps/cuda-convnet-master/src/cudaconv2
Can you help?
Thanks
@guilhermeba yes on OSX it uses the Accelerate framework. Are you on 10.10.3 and Xcode 6.3?
OS is OS X 10.10 (14A389), I think it's not 10.10.3....
My Xcode is 6.3 Beta
This message " A library with BLAS API found" means there is some trash from the time when I tried to install ATLAS?
Well it seems it found the Accelerate library so thats fine. The issue is the BLAS_INCLUDE_DIRS which is typically in some strange location on newer OSX... let me investigate...
Thanks @kashif. Maybe it has found but it's not well installed. Did you install BLAS api in your mac?
@guilhermeba in you CmakeLists.txt file try to add the following line to HINTS:
"/Applications/Xcode-Beta.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.9.sdk/System/Library/Frameworks/Accelerate.framework/Versions/Current/Frameworks/vecLib.framework/Headers/"
The issue is that you only seem to have Xcode-beta installed and the BLAS headers are in there... So add this location to the Cmake hints and it should find it.
Wow, it worked! Thanks so much! now let's try to use... LoI
@guilhermeba nice! 👍 ok let me know if you have any other issues.
hi @kashif. It seems my GPU is not supported :-(. I got this error:
nvcc fatal : Unsupported gpu architecture 'compute_30'
I'm using a iMac 27" with NVIDIA GeForce GT 755M. Is there any change to run on this GPU?
@guilhermeba just uncomment the appropriate line for your GPU's compute capability, which for you i guess is this?
list(APPEND CUDA_NVCC_FLAGS -gencode arch=compute_35,code=sm_35)
in CMakeLists.txt and try again.
hi guys, are there any image cuda-convnet classification demos like that one http://demo.caffe.berkeleyvision.org/ ?
@kashif, unfortunately didn't work. I think my GPU is not supported by CUDA, see this:
https://developer.nvidia.com/cuda-gpus
I can't find 755M model there.
@kashif I'm trying to install cuda-convnet on my mac os 10.10.2. I have XCode 6.2. I'm trying to compile using your Cmake file. I'm getting the following errors:
-- Found Threads: TRUE
-- A library with BLAS API found.
-- Found PythonLibs: /usr/lib/libpython2.7.dylib (found suitable version "2.7.3", minimum required is "2.7")
-- Found PythonInterp: /usr/bin/python2.7 (found suitable version "2.7.6", minimum required is "2.7")
CMake Error: The following variables are used in this project, but they are set to NOTFOUND.
Please set them or make sure they are set and tested correctly in the CMake files:
CUDA_COMMON_INCLUDE_DIRS
used as include directory in directory /Users/michaelosorio/Desktop/zipfian/Projects/cuda-convnet
used as include directory in directory /Users/michaelosorio/Desktop/zipfian/Projects/cuda-convnet
used as include directory in directory /Users/michaelosorio/Desktop/zipfian/Projects/cuda-convnet/src/common
used as include directory in directory /Users/michaelosorio/Desktop/zipfian/Projects/cuda-convnet/src/nvmatrix
used as include directory in directory /Users/michaelosorio/Desktop/zipfian/Projects/cuda-convnet/src/cudaconv2
-- Configuring incomplete, errors occurred!
Any ideas what I'm doing wrong?
Cheers,
Mike
@oxfordBlueDevil just give me a few mins. having a look now
@oxfordBlueDevil seems like it cannot find the location of the /usr/local/cuda/samples/common/inc folder. Are you sure you have installed the CUDA pkg properly? What is in your /usr/local/cuda/ folder?
Thank you for getting back to me. No, it doesn't seem like /usr/local/cuda/samples/common/inc is within the /usr/local/cuda/ directory. Any ideas how to fix this @kashif?
Cheers,
Mike
@oxfordBlueDevil try to get the package from: https://developer.nvidia.com/cuda-downloads
and make sure when you re-install, you also include to install the samples as well. I hope that helps.