Allocation is a relatively slow operation so preallocation is an 
optimization. Without preallocation, Theano should allocate memory on the 
GPU only when needed.

On Thursday, March 9, 2017 at 1:23:07 PM UTC+1, Ani wrote:
>
> 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] <javascript:>> 
> 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 
>>>>>>>>>>>> Google Groups "theano-users" group.
>>>>>>>>>>>> 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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>>>>>>>>> .
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>>>>>>>>>
>>>>>>>>> -- 
>>>>>>>>
>>>>>>>> --- 
>>>>>>>> You received this message because you are subscribed to a topic in 
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>>>>>>>> To unsubscribe from this topic, visit 
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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.
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>>>>> .
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>>>>> [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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>>
>

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