We do not support anymore that version of Theano. Try Theano 1.0rc1:
c697eeab

On Mon, Oct 30, 2017 at 3:37 PM Adam Jones <ajones...@gmail.com> wrote:

> *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
>
> --
>
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