You could have multiple cuda version installed to have TF working. Le jeu. 10 mai 2018 16:28, Michael Klachko <michaelklac...@gmail.com> a écrit :
> After struggling with this error for a day, I decided to upgrade CUDA to > 9.1 and CuDNN to 7.1. After that I got "your driver might be too old" > error, which was resolved by updating the driver to 396.24. Also, in the > process I found out I had older CuDNN files in /usr/lib/x86_64-linux-gnu/ > directory. Not sure how they got there, perhaps because sometimes I > installed CuDNN using .deb package, and sometimes by manually copying the > files. So it's probably not a good idea to mix .deb and .run cuda > installation methods. > > Anyway, now theano works fine now, but unfortunately my Tensorflow is > broken because it does not support cuda 9.1 yet... Will probably have to > compile it from source. > > > > On Thursday, May 10, 2018 at 11:30:38 AM UTC-7, Arnaud Bergeron wrote: > >> This is a new one. It is also very weird since gemm doesn't involve >> cuLinkAddData. This may be an error message from something else. >> >> First things first, since you are on cuda 9.0, I would recommend that you >> update your driver to 384.111 or 390.*. If that doesn't help, then I'll >> need some help reproducing the problem since I don't get that in any of my >> environments. >> > Le 8 mai 2018 à 18:15, Michael Klachko <michael...@gmail.com> a écrit : >> >> I have CUDA 9.0 and CuDNN 7.0.5 on my Ubuntu 16.04, and Tensorflow works >> fine. In order to install theano, I first installed miniconda, then ran >> "conda >> install theano pygpu" and it seemed to have installed fine. >> >> >> >> However, here's what I get: >> >> >> $ python >> Python 3.6.5 |Anaconda, Inc.| (default, Apr 29 2018, 16:14:56) >> [GCC 7.2.0] on linux >> Type "help", "copyright", "credits" or "license" for more information. >> >>> import theano >> Using cuDNN version 7005 on context None >> ERROR (theano.gpuarray): Could not initialize pygpu, support disabled >> Traceback (most recent call last): >> File >> "/home/michael/miniconda2/envs/las/lib/python3.6/site-packages/theano/gpuarray/__init__.py", >> line 227, in <module> >> use(config.device) >> File >> "/home/michael/miniconda2/envs/las/lib/python3.6/site-packages/theano/gpuarray/__init__.py", >> line 214, in use >> init_dev(device, preallocate=preallocate) >> File >> "/home/michael/miniconda2/envs/las/lib/python3.6/site-packages/theano/gpuarray/__init__.py", >> line 159, in init_dev >> pygpu.blas.gemm(0, tmp, tmp, 0, tmp, overwrite_c=True) >> File "pygpu/blas.pyx", line 149, in pygpu.blas.gemm >> File "pygpu/blas.pyx", line 47, in pygpu.blas.pygpu_blas_rgemm >> pygpu.gpuarray.GpuArrayException: (b'cuLinkAddData: CUDA_ERROR_UNKNOWN: >> unknown error', 3) >> >> >> >> Here's the packages I have installed in this environment: >> >> >> $ conda list >> # packages in environment at /home/michael/miniconda2/envs/las: >> # >> # Name Version Build Channel >> binutils_impl_linux-64 2.28.1 had2808c_3 >> binutils_linux-64 7.2.0 26 >> ca-certificates 2018.03.07 0 >> certifi 2018.4.16 py36_0 >> gcc_impl_linux-64 7.2.0 habb00fd_3 >> gcc_linux-64 7.2.0 26 >> gxx_impl_linux-64 7.2.0 hdf63c60_3 >> gxx_linux-64 7.2.0 26 >> intel-openmp 2018.0.0 8 >> libedit 3.1 heed3624_0 >> libffi 3.2.1 hd88cf55_4 >> libgcc-ng 7.2.0 hdf63c60_3 >> libgfortran-ng 7.2.0 hdf63c60_3 >> libgpuarray 0.7.5 h14c3975_0 >> libstdcxx-ng 7.2.0 hdf63c60_3 >> mako 1.0.7 py36h0727276_0 >> markupsafe 1.0 py36hd9260cd_1 >> mkl 2018.0.2 1 >> mkl-service 1.1.2 py36h17a0993_4 >> mkl_fft 1.0.1 py36h3010b51_0 >> mkl_random 1.0.1 py36h629b387_0 >> ncurses 6.0 h9df7e31_2 >> nose 1.3.7 py36hcdf7029_2 >> numpy 1.14.2 py36hdbf6ddf_1 >> openssl 1.0.2o h20670df_0 >> pip 10.0.1 py36_0 >> pygpu 0.7.5 py36h14c3975_0 >> python 3.6.5 hc3d631a_2 >> readline 7.0 ha6073c6_4 >> scipy 1.0.1 py36hfc37229_0 >> setuptools 39.1.0 py36_0 >> six 1.11.0 py36h372c433_1 >> sqlite 3.23.1 he433501_0 >> theano 1.0.1 py36h6bb024c_0 >> tk 8.6.7 hc745277_3 >> wheel 0.31.0 py36_0 >> xz 5.2.3 h5e939de_4 >> zlib 1.2.11 ha838bed_2 >> >> >> >> Here's my .theanorc file: >> >> >> [global] >> device = cuda0 >> optimizer_including = cudnn >> floatX = float32 >> >> [dnn] >> include_path = /usr/local/cuda/include >> library_path = /usr/local/cuda/lib64 >> >> [lib] >> cnmem = 0.7 >> >> [nvcc] >> fastmath = True >> >> [blas] >> # Only used for device = cpu >> ldflags = -lopenblas >> >> [cuda] >> root = /usr/local/cuda/bin >> >> >> >> Nvidia driver: Driver Version: 384.81 >> >> -- >> >> --- >> 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. > -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. 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