And if I don't mention in .theanorc file and use  device= gpuarray then by
default how much memory it takes in GPU?
On 9 Mar 2017 5:44 p.m., "Kiuhnm Mnhuik" <[email protected]> wrote:

> It's a flag just like "device". You can add
>
>     [gpuarray]
>     preallocate = 0.7
>
> to your .theanorc file.
>
> On Thursday, March 9, 2017 at 11:58:57 AM UTC+1, Ani wrote:
>>
>> Dear sir,
>>
>> kindly tell me how to use this line..gpuarray.preallocate=0.7....it
>> should be used at run time or in code??..I am using deep learning first
>> time..
>>
>>
>>
>> On Mon, Mar 6, 2017 at 4:49 PM, anishi gupta <[email protected]> wrote:
>>
>>> 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
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>>>>>>>>>>> To unsubscribe from this group and stop receiving emails from
>>>>>>>>>>> it, send an email to [email protected].
>>>>>>>>>>> For more options, visit https://groups.google.com/d/optout.
>>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>>
>>>>>>>>>> --
>>>>>>>>>> warm regards,
>>>>>>>>>> Poornachandra Sandur,
>>>>>>>>>> Mob.No.+91-9901913049
>>>>>>>>>>
>>>>>>>>> --
>>>>>>>>
>>>>>>>> ---
>>>>>>>> You received this message because you are subscribed to a topic in
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>>>>>>>>
>>>>>>>> --
>>>>>>>
>>>>>>> ---
>>>>>>> You received this message because you are subscribed to a topic in
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>>>>>>> pic/theano-users/4qKbh5C_9e4/unsubscribe.
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>>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>> --
>>>>>>
>>>>>> With Best Wishes and Regards
>>>>>> Anishi Gupta
>>>>>>
>>>>>>
>>>>>>
>>>>>
>>>>>
>>>>> --
>>>>>
>>>>> With Best Wishes and Regards
>>>>> Anishi Gupta
>>>>>
>>>>>
>>>>> --
>>>>
>>>> ---
>>>> You received this message because you are subscribed to a topic in the
>>>> Google Groups "theano-users" group.
>>>> To unsubscribe from this topic, visit https://groups.google.com/d/to
>>>> pic/theano-users/4qKbh5C_9e4/unsubscribe.
>>>> To unsubscribe from this group and all its topics, send an email to
>>>> [email protected].
>>>> For more options, visit https://groups.google.com/d/optout.
>>>>
>>>
>>>
>>>
>>> --
>>>
>>> With Best Wishes and Regards
>>> Anishi Gupta
>>>
>>>
>>>
>>
>>
>> --
>>
>> With Best Wishes and Regards
>> Anishi Gupta
>>
>>
>> --
>
> ---
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