Where should I use this sir...i mean how to use this..?

On Mon, Mar 6, 2017 at 4:37 PM, Kiuhnm Mnhuik <[email protected]> wrote:

> You should use gpuarray.preallocate=0.7 (choose the % you want)
>
> On Monday, March 6, 2017 at 8:31:58 AM UTC+1, Ani wrote:
>>
>> Sir I think GPUArray will itself control GPU memory allocation, there is
>> no need of cnmem now as it is depreciated whic is controlled via CUDA
>> backend.
>>
>> On Mon, Mar 6, 2017 at 12:20 PM, anishi gupta <[email protected]>
>> wrote:
>>
>>> Hello Sir,
>>>
>>> When I used command "device=gpuN python file.py" then code is
>>> successfullt running on gpu.As you said theano FLAGS will override .rc file
>>> settings so I think there is no need of making .theanorc file. Kindly tell
>>> me how to make cuda memory faster if I dont use cnmem...I want to gain
>>> speedup in gpu as compare to cpu....
>>>
>>>
>>>
>>> On Fri, Mar 3, 2017 at 7:08 PM, Ramana Subramanyam <[email protected]>
>>> wrote:
>>>
>>>> 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]> 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
>>>>>>>>>
>>>>>>>> --
>>>>>>>>
>>>>>>>> ---
>>>>>>>> You received this message because you are subscribed to the Google
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>>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> --
>>>>>>> warm regards,
>>>>>>> Poornachandra Sandur,
>>>>>>> Mob.No.+91-9901913049
>>>>>>>
>>>>>> --
>>>>>
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>>>
>>>
>>>
>>> --
>>>
>>> With Best Wishes and Regards
>>> Anishi Gupta
>>>
>>>
>>>
>>
>>
>> --
>>
>> With Best Wishes and Regards
>> Anishi Gupta
>>
>>
>> --
>
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With Best Wishes and Regards
Anishi Gupta

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