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. >>>>>>>>>>>>>> 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 >>>>>>>>>>> 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. >>>>>>>>>>> >>>>>>>>>>> -- >>>>>>>>>> >>>>>>>>>> --- >>>>>>>>>> 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. >>>>>>> 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 >>>>> >>>>> >>>>> -- >>>> >>>> --- >>>> 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. >>>> >>> -- >> >> --- >> 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. >> > -- --- You received this message because you are subscribed to the Google Groups "theano-users" group. 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