With more debugging I get error here https://github.com/Theano/Theano/blob/8b9f73365e4932f1c005a0a37b907d28985fbc5f/theano/gof/cmodule.py#L302
when `nvcc_compiler` tries to load the `cuda_ndarray.so` from `cuda_ndarray` in theano cache comiplation phase for mod.cu runs without error. On Wednesday, 8 February 2017 06:59:25 UTC+5:30, Jayendra Parmar wrote: > > No I don't have two CUDAs in my system I have only CUDA8 > > On Wednesday, 8 February 2017 03:27:51 UTC+5:30, nouiz wrote: >> >> So it probably mean your environment contain a mix of both cuda version. >> Make sure your environment variable only contain one cude version. >> Sometimes there is a mix. Using the env variable CUDA_ROOT or the Theano >> flag cuda.root isn't a reliable way to select which cuda version to use. >> >> Fred >> >> On Mon, Feb 6, 2017 at 10:37 AM Frédéric Bastien <[email protected]> >> wrote: >> >>> Delete your Theano cache. You probably have it populated with module >>> that request cuda 7.5. Run: >>> >>> theano-cache purge >>> >>> otherwise, by default it is under ~/.theano >>> >>> Fred >>> >>> On Sun, Feb 5, 2017 at 10:50 PM, Jayendra Parmar <[email protected]> >>> wrote: >>> >>>> 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" <[email protected]> >>>>> 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 [email protected]. >>>>>> 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 [email protected]. >>>> 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 [email protected]. For more options, visit https://groups.google.com/d/optout.
