Hi, 
You don't set the device parameter. Set your device to gpuN and try running 
again. cnmem is from the old backend, which will be depreciated soon. You 
should start using device=cudaN and config.gpuarray.preallocate instead of 
lib.cnmem. Also, you seem to override the config file with THEANO_FLAGS. 
Use either of them (remember FLAGS can override .rc file settings).

Ramana

On Friday, March 3, 2017 at 7:06:24 PM UTC+5:30, Ani wrote:
>
> No sir I have put
> [lib] 
> cnmem=1 
> but it shows error of lib command not found..what to do sir now.
> On 3 Mar 2017 5:07 p.m., "Kiuhnm Mnhuik" <[email protected] <javascript:>> 
> wrote:
>
> You probably forgot [lib]:
>
>     [lib]
>     cnmem = 1
>
> Hello Sir...
>>
>> I have successfully installed CuDNN and it is also available...but 
>> problem is with cnmem..When I wrote cnmem=1 in my .theanorc file which is 
>> at home directory..it gives error on running any code with cpu or 
>> gpu..please have a look at error(screenshot is attached).
>>
>> Thanks in advance....
>> Regards
>> Anishi Gupta
>>
>> On Saturday, 28 May 2016 11:05:29 UTC+5:30, Poornachandra Sandur wrote:
>>>
>>> Hi,
>>>                    CNMem is  fast CUDA memory allocator ... if you want 
>>> to set it you can do it by writing the below lines in your .theanorc file 
>>>  ...
>>>
>>> [lib]
>>> cnmem=1
>>>
>>>
>>> -------------------------------
>>>
>>> For CUDNN you can do it with the following steps :
>>>
>>> *First download the file : cudnn-7.0-linux-x64-v3.0-prod.tgz*
>>>
>>> *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/*
>>>
>>>
>>> On Fri, May 27, 2016 at 1:22 PM, Ramana Subramanyam <[email protected]> 
>>> wrote:
>>>
>>>> Hello there, 
>>>> If anyone is running theano on OSX, you need to make  a few changes to 
>>>> Poornachandra's answer. Instead of setting the path of *LD_LIBRARY_PATH, 
>>>> *set *DYLD_LIBRARY_PATH *to the extracted directory of CUDNN. I have 
>>>> extracted them into `/home/packages/` and I am using CUDA 7.5. Copy those 
>>>> files to the following destination, 
>>>>
>>>>
>>>> 1) sudo cp ~/packages/cuda/lib/libcudnn* /Developer/NVIDIA/CUDA-7.5/lib
>>>> /
>>>>
>>>>
>>>>
>>>> 2) sudo cp ~/packages/cuda/include/cudnn.h /Developer/NVIDIA/CUDA-7.5/
>>>> include/
>>>>
>>>>
>>>>
>>>> Hope this helps! 
>>>>
>>>> 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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>>>>
>>>
>>>
>>>
>>> -- 
>>> warm regards,
>>> Poornachandra Sandur,
>>> Mob.No.+91-9901913049
>>>
>> -- 
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