If the copied destination is already in LD_LIBRARY_PATH, then you don't
need that step.

On Fri, Sep 9, 2016 at 10:51 AM, Naomi Fridman <[email protected]>
wrote:

>
> Hi Poornachandra Sandur,
>
> Thank you, great answer and super practical.
>
> But why to add the extracted directory to LD_LIBRARY_PATH ?
> If I copy all the extracted files to /usr/local/cuda-7.5/*
> which is allready in
> LD_LIBRARY_PATH
>
>
> Thanks,
> Naomi
> On Tuesday, May 3, 2016 at 10:45:25 PM UTC+3, Poornachandra Sandur wrote:
>>
>> Hi Ashutosh,
>>                        To set up the CUDNN , you can just follow the
>> below steps
>>
>> *First download the file : cudnn-7.5-linux-x64-v5.0-rc.tg
>> <http://cudnn-7.5-linux-x64-v5.0-rc.tg>z*
>>
>>
>> *https://developer.nvidia.com/cudnn <https://developer.nvidia.com/cudnn>*
>>
>>
>> *Extract it to home directory*
>>
>> *and set the LD_LIBRARY_PATH to the above extracted directory*
>>
>> *and then follow the below steps :*
>>
>>
>>
>> *sudo cp /home/poornachandra/cuda/include/cudnn.h
>> /usr/local/cuda-7.5/include/*
>>
>> *sudo cp /home/poornachandra/cuda/lib64/libcudnn*
>> /usr/local/cuda-7.5/lib64/*
>>
>>
>> Please check the screenshot it worked for me...
>>
>>
>>
>> On Tuesday, March 15, 2016 at 7:52:50 AM UTC+5:30, Ashutosh Modi wrote:
>>>
>>> Hi,
>>>
>>> I am running the latest version of Theano 0.8 on linux server using the
>>> GPUs. When I run my code I get the following message :
>>>
>>> Using gpu device 0: GeForce GTX TITAN X (CNMeM is disabled, CuDNN not
>>> available)
>>>
>>>
>>> Is it normal or something is lacking or is it some bug? I ran my code
>>> after clearing the .thano directory.
>>>
>>>
>>> Please help me in resolving this.
>>>
>>>
>>> Thanks,
>>>
>>> Ashutosh
>>>
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