Update Theano to 0.9rc3 out use the old backend with 0.8.2

Le ven. 10 mars 2017 00:35, anishi gupta <[email protected]> a écrit :

> libgpuarray
>
> It is recommended that you don’t use 0.8.2 for the new back-end. Use the
> dev version of Theano or 0.9rc3.
>
> Theano 0.8.2 is not a development version, its a stable version. Will new
> back-end for gpu not work well with this theano version.  Should i use old
> version i.e device =gpu or cnmem=1 in .rc file.
>
> On Fri, Mar 10, 2017 at 10:45 AM, anishi gupta <[email protected]>
> wrote:
>
> Dear Sir,
>
> I have theano 0.8.2 installed in my system.. Is it development version
> because new back end memory allocation (gpuarray) will work(optimize) on
> development version or version higher than 0.9 as read in theano doc .And
> do I require to install libgpuarray also for proper functioning of gpuarray
> backend.
>
> On Thu, Mar 9, 2017 at 9:04 PM, Ramana Subramanyam <[email protected]>
> wrote:
>
> Yes. The RC file is for more frequent usecases. For lesser frequent ones ,
> you can override the settings using flags.
> Ramana
>
> On Mar 9, 2017 20:52, "anishi gupta" <[email protected]> wrote:
>
> 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
>
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> Anishi Gupta
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> With Best Wishes and Regards
> Anishi Gupta
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> With Best Wishes and Regards
> Anishi Gupta
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> Anishi Gupta
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