defintely I can run the cuda samples $ ./deviceQuery ./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking) Detected 1 CUDA Capable device(s) Device 0: "GeForce GTX 970M" CUDA Driver Version / Runtime Version 8.0 / 7.5 CUDA Capability Major/Minor version number: 5.2 Total amount of global memory: 3016 MBytes (3162570752 bytes) (10) Multiprocessors, (128) CUDA Cores/MP: 1280 CUDA Cores GPU Max Clock rate: 1038 MHz (1.04 GHz) Memory Clock rate: 2505 Mhz Memory Bus Width: 192-bit L2 Cache Size: 1572864 bytes Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096) Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers Total amount of constant memory: 65536 bytes Total amount of shared memory per block: 49152 bytes Total number of registers available per block: 65536 Warp size: 32 Maximum number of threads per multiprocessor: 2048 Maximum number of threads per block: 1024 Max dimension size of a thread block (x,y,z): (1024, 1024, 64) Max dimension size of a grid size (x,y,z): (2147483647, 65535, 65535) Maximum memory pitch: 2147483647 bytes Texture alignment: 512 bytes Concurrent copy and kernel execution: Yes with 2 copy engine(s) Run time limit on kernels: No Integrated GPU sharing Host Memory: No Support host page-locked memory mapping: Yes Alignment requirement for Surfaces: Yes Device has ECC support: Disabled Device supports Unified Addressing (UVA): Yes Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0 Compute Mode: < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) > deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 8.0, CUDA Runtime Version = 7.5, NumDevs = 1, Device0 = GeForce GTX 970M Result = PASS On Monday, 6 February 2017 08:59:50 UTC+5:30, Ria Chakraborty wrote: > > Is your GPU supported for CUDA? Check in NVIDIA website for list of GPUs > supported by CUDA. > > On 06-Feb-2017 8:51 AM, "Jayendra Parmar" <jayendr...@gmail.com > <javascript:>> wrote: > >> Tried it, but it didn't help me. Moreover I uninstalled theano and >> installed it from source, still having that issue. >> >> On Monday, 6 February 2017 00:34:52 UTC+5:30, Mustg Oplay wrote: >>> >>> May still be worth checking your theanorc file since the same error can >>> happen in windows: >>> >>> Add the following lines to .theanorc: >>> [nvcc] >>> flags=--cl-version=2015 -D_FORCE_INLINES >>> if you do not include the cl-version then you get the error: >>> >>> nvcc fatal : nvcc cannot find a supported version of Microsoft Visual >>> Studio. Only the versions 2010, 2012, and 2013 are supported >>> >>> the D_FORCE_INLINES part is for an Ubuntu bug although I'm not sure it's >>> necessary anymore. It can help prevent this error: >>> >>> WARNING (theano.sandbox.cuda): CUDA is installed, but device gpu0 is not >>> available (error: cuda unavailable) >>> >>> Note: This error seems to also show if the g++ version is too new for >>> the CUDA version. >>> >>> -- >> >> --- >> You received this message because you are subscribed to the Google Groups >> "theano-users" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to theano-users...@googlegroups.com <javascript:>. >> For more options, visit https://groups.google.com/d/optout. >> > -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to theano-users+unsubscr...@googlegroups.com. For more options, visit https://groups.google.com/d/optout.