Here is the link to help you install it:

https://github.com/Theano/Theano/wiki/Converting-to-the-new-gpu-back-end(gpuarray)

On Fri, Nov 3, 2017 at 1:09 PM Frédéric Bastien <frederic.bast...@gmail.com>
wrote:

> 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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>

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