Yes. The RC file is for more frequent usecases. For lesser frequent ones ,
you can override the settings using flags.
Ramana

On Mar 9, 2017 20:52, "anishi gupta" <[email protected]> wrote:

> And one thing more sir, if I am preallocating memory on .theanorc file
> then there is no need of setting device flag with gpuarray on terminal,
> simply I may run Python file.py.
> On 9 Mar 2017 8:45 p.m., "anishi gupta" <[email protected]> wrote:
>
>> It means by setting flag at run time with device=gpuarray, I am
>> allocating not pre allocating.
>> On 9 Mar 2017 8:16 p.m., "Kiuhnm Mnhuik" <[email protected]> wrote:
>>
>>> 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]> 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.
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>>>>>>>>>>>>>>> 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
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>>>>>>>>>>>>
>>>>>>>>>>>> --
>>>>>>>>>>>
>>>>>>>>>>> ---
>>>>>>>>>>> You received this message because you are subscribed to a topic
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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.
>>>>>>>> To unsubscribe from this topic, visit
>>>>>>>> https://groups.google.com/d/topic/theano-users/4qKbh5C_9e4/u
>>>>>>>> nsubscribe.
>>>>>>>> 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
>>>>>>
>>>>>>
>>>>>> --
>>>>>
>>>>> ---
>>>>> You received this message because you are subscribed to a topic in the
>>>>> Google Groups "theano-users" group.
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>>>>> 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.
>>>>>
>>>> --
>>>
>>> ---
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>>

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