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/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 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.
