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]
> <javascript:>> 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]
>> <javascript:>> 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
>>>>>>> the Google Groups "theano-users" group.
>>>>>>> To unsubscribe from this topic, visit
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>>>>>>> .
>>>>>>> To unsubscribe from this group and all its topics, send an email to
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>>>>>>> For more options, visit https://groups.google.com/d/optout.
>>>>>>>
>>>>>>> --
>>>>>>
>>>>>> ---
>>>>>> 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/unsubscribe
>>>>>> .
>>>>>> To unsubscribe from this group and all its topics, send an email to
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>>>>>> 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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>>>
>>
>>
>>
>> --
>>
>> With Best Wishes and Regards
>> Anishi Gupta
>>
>>
>>
>
>
> --
>
> With Best Wishes and Regards
> Anishi Gupta
>
>
>
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