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/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/ > topic/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 -- --- 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.
