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/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. >> > > > > -- > > With Best Wishes and Regards > Anishi Gupta > > > -- 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.
