Finally my problem got solved http://stackoverflow.com/questions/42127432/nvcc-is-picking-wrong-libcudart-library http://stackoverflow.com/questions/42048635/using-cuda8-in-theano
On Wednesday, 8 February 2017 20:20:28 UTC+5:30, Jayendra Parmar wrote: > > Yes, sorry that was typo, I am currently trying find why the wrong library > is being linked. I would appreciate any help thanks. > > On Wednesday, 8 February 2017 19:21:09 UTC+5:30, nouiz wrote: >> >> >> >> Le mar. 7 févr. 2017 23:51, Jayendra Parmar <jayendr...@gmail.com> a >> écrit : >> >>> Reading the .so file seems to be using the correct linrary >>> $ readelf -a cuda_ndarray.so | grep NEEDED >>> 0x0000000000000001 (NEEDED) Shared library: >>> [libcublas.so.8.0] >>> 0x0000000000000001 (NEEDED) Shared library: >>> [libpython3.6m.so.1.0] >>> 0x0000000000000001 (NEEDED) Shared library: >>> [libcudart.so.7.5] >>> >> >> I think this is a reference to cuda 7.5 >> >> 0x0000000000000001 (NEEDED) Shared library: [librt.so.1] >>> 0x0000000000000001 (NEEDED) Shared library: >>> [libpthread.so.0] >>> 0x0000000000000001 (NEEDED) Shared library: [libdl.so.2] >>> 0x0000000000000001 (NEEDED) Shared library: [libstdc++.so.6] >>> 0x0000000000000001 (NEEDED) Shared library: [libm.so.6] >>> 0x0000000000000001 (NEEDED) Shared library: [libgcc_s.so.1] >>> 0x0000000000000001 (NEEDED) Shared library: [libc.so.6] >>> >>> On Wednesday, 8 February 2017 09:20:31 UTC+5:30, Jayendra Parmar wrote: >>>> >>>> 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 < >>>>>> frederic...@gmail.com> 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 < >>>>>>> jayendr...@gmail.com> 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" <jayendr...@gmail.com> >>>>>>>>> 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. >>>>>>>>>> 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...@googlegroups.com. >>>>>>>> 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...@googlegroups.com. >>> 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.
