Maximum number of threads per block: 1024 Maximum number of threads per multiprocessor: 2048
Total number of registers available per block: 65536 Total amount of shared memory per block: 49152 bytes Total amount of constant memory: 65536 bytes Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers ( 2) Multiprocessors, (192) CUDA Cores/MP: 384 CUDA Cores Total amount of global memory: 2048 MBytes (2147024896 bytes) Probably some bug or checksum error in cutorch.ĬUDA Device Query (Runtime API) version (CUDART static linking)ĬUDA Driver Version / Runtime Version 7.5 / 7.5ĬUDA Capability Major/Minor version number: 3.0 So I have sufficient confident to believe the "CUDA driver version is insufficient for CUDA runtime version" error is related to cutorch and not cuda.
#Cuda 7.5 driver for osx mac os x#
I have the same problem, running mac OS X 10.11 with coda 7.5, i run deviceQuery and everything looks normal, and when i run theano on gpu, also runs smoothly, the only issues arise with torch. 0) CUDA driver version is insufficient for CUDA runtime version 6 tests from SGDSolverTest/3, where TypeParam = N5caffe9DoubleGPUE I uncommented out CPU_ONLY : =1 in my nfig, then use make runtest.
#Cuda 7.5 driver for osx pro#
I'm running this on a MacBook Pro with OS X Mavericks.Īny idea how I could solve this issue? Software details are: 3 tests from BlobSimpleTest/0, where TypeParam = float Note: Randomizing tests' orders with a seed of 28931.
Then make all and make test, runs with out any error but after doing "make runtest", It get this error. I followed steps given here:Īfter copying from nfig (uncommented the required part)
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