*My system info:* - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu 16.04.2 - Theano installed: via conda - Theano version:'0.9.0.dev-c697eeab84e5b8a74908da654b66ec9eca4f1291' - Python version: 2.7 - cuDNN version: 6.0.21 - CUDA compilation tools, release: 8.0, V8.0.61 - GPU model and memory: GeForce GTX Titan X - Compiler: gcc version 5.4.0
*Problem:* Fresh install of cuda, cudnn, and theano as per docs <http://deeplearning.net/software/theano/updating.html#updating>. I get the following error message when I try importing theano. I know there are a multitude of posts for this error message, but none have been of any help. Any guidance would be *greatly* appreciated! *Error produced:* ERROR (theano.sandbox.cuda): Failed to compile cuda_ndarray.cu: libcublas.so.8.0: cannot open shared object file: No such file or directory /home/adam/miniconda2/lib/python2.7/site-packages/theano/gpuarray/dnn.py:135: UserWarning: Your cuDNN version is more recent than Theano. If you encounter problems, try updating Theano or downgrading cuDNN to version 5.1. warnings.warn("Your cuDNN version is more recent than " ERROR (theano.gpuarray): Could not initialize pygpu, support disabled Traceback (most recent call last): File "/home/adam/miniconda2/lib/python2.7/site-packages/theano/gpuarray/__init__.py", line 164, in <module> use(config.device) File "/home/adam/miniconda2/lib/python2.7/site-packages/theano/gpuarray/__init__.py", line 151, in use init_dev(device) File "/home/adam/miniconda2/lib/python2.7/site-packages/theano/gpuarray/__init__.py", line 68, in init_dev context.cudnn_handle = dnn._make_handle(context) File "/home/adam/miniconda2/lib/python2.7/site-packages/theano/gpuarray/dnn.py", line 85, in _make_handle raise RuntimeError("error creating cudnn handle") RuntimeError: error creating cudnn handle *Output of 'nvidia-smi':* '+-----------------------------------------------------------------------------+ | NVIDIA-SMI 384.90 Driver Version: 384.90 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GeForce GTX TIT... Off | 00000000:01:00.0 Off | N/A | | 22% 40C P8 14W / 250W | 2MiB / 12207MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 1 GeForce GT 610 Off | 00000000:07:00.0 N/A | N/A | | 40% 35C P8 N/A / N/A | 48MiB / 963MiB | N/A Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 1 Not Supported | +-----------------------------------------------------------------------------+' *Relevant portion of .bashrc file:* export CUDA_ROOT=/usr/local/cuda export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64" # export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda-8.0/lib64" export PATH="/usr/local/cuda/bin:$PATH" export PATH="/usr/local/cuda-8.0/bin:$PATH" export CUDA_VISIBLE_DEVICES=0 export LIBRARY_PATH=$LIBRARY_PATH:/usr/local/cuda/lib64 -- --- 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.
