I see now that your .theanorc has just one line! Maybe you should start from a sample .theanorc and just edit it.
On Friday, March 3, 2017 at 12:37:02 PM UTC+1, Kiuhnm Mnhuik wrote: > > You probably forgot [lib]: > > [lib] > cnmem = 1 > > On Friday, March 3, 2017 at 7:29:46 AM UTC+1, Ani wrote: >> >> 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 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.
