I tried running this simple code which copies two large arrays to GPU
memory for dot product computation.
import numpy as np
import theano
import theano.tensor as T
a = np.asarray(np.random.uniform(-1,1, (1,4)), dtype=np.float32)
b = np.asarray(np.random.uniform(-1,1, (4,2)),
Andre, can you please post your theano config and your convnet parameters?
To debug this I would first try running on CPU only, then MLP, then convnet
with no pooling and tanh, with CuDNN disabled, then partially enable one
thing at a time.
Also, check the obvious things like using the same
nday, October 24, 2016 at 9:38:17 AM UTC-7, nouiz wrote:
>>>
>>> What errors do you have? Delete your Theano cache, just in case and be
>>> sure to use Theano dev version. The last release don't support it I think.
>>>
>>> Fred
>>>
>
I am getting a 98% gpu
>>> tutilization with cudnn 5105. If I use cuda backend, I am only getting
>>> about 35% utilization.
>>> Anyidea why this might be so ?
>>>
>>> On Monday, October 24, 2016 at 9:38:17 AM UTC-7, nouiz wrote:
>>>>
>&
it can ?
>
> On Wednesday, November 9, 2016 at 5:36:14 PM UTC-7, Michael Klachko wrote:
>>
>> Ragav, so when GPU is 98% utilized, is the training faster than when it's
>> 35% utilized? Have you timed it?
>>
>> On Wed, Nov 9, 2016 at 4:09 PM, Ragav Venkatesan <rag
I enabled warn_float64 flag in theano config, and now when I'm running my
neural net code, I'm getting the following:
c:\Theano\theano\gof\graph.py:447: UserWarning: You are creating a
TensorVariable with float64 dtype. You requested an action via the Theano
flag
. I
added dtype=theano.config.floatX and the warning disappeared.
On Monday, October 24, 2016 at 8:23:01 AM UTC-7, Michael Klachko wrote:
>
> I enabled warn_float64 flag in theano config, and now when I'm running my
> neural net code, I'm getting the following:
>
> c:\Th
san <ragav.ve...@gmail.com
>>> > wrote:
>>>
>>>> Both are using CUdNNs.. I am wondering if some ops are running on the
>>>> CPU, how do I find that out ?
>>>>
>>>> On Friday, November 11, 2016 at 10:00:39 PM UTC-7, Michael K
ow do I find that out ?
>
> On Friday, November 11, 2016 at 10:00:39 PM UTC-7, Michael Klachko wrote:
>>
>> Do both versions use CuDNN? If gpu0 version didn't use it, that would
>> explain the difference. Also, look at CPU usage for gpu0 version - it could
>> be that
This is an old issue, see:
https://groups.google.com/forum/#!topic/theano-users/Q9tD4Af_7ho
On Friday, November 11, 2016 at 10:07:22 AM UTC-8, Amin Farajian wrote:
>
> Hi Fred,
> I just followed your suggestion and hard coded the changes in my Theano
> package, and ran multiple experiments
cc.allowgc
> =True.
>
> On Thursday, November 10, 2016 at 4:47:38 PM UTC-7, Michael Klachko wrote:
>>
>> Yes. It depends on the size of your network/input - the smaller it is,
>> the harder it is to keep 3k cores busy all the time.
>> Regarding timing, you don't need to write muc
I updated my CUDA from 7.5 to 8.0, and the error changed to:
In [1]: import theano
ERROR:theano.gpuarray:Could not initialize pygpu, support disabled
Traceback (most recent call last):
File "c:\Theano\theano\gpuarray\__init__.py", line 164, in
use(config.device)
File
Has anyone here trained Alexnet successfully on Imagenet dataset? I'm
trying to decide if it's worth it trying to make it work with Theano, or
switch to Tensorflow...
--
---
You received this message because you are subscribed to the Google Groups
"theano-users" group.
To unsubscribe from
Oh, looks like my message got truncated. Here's the complete graph:
C:\ProgramData\Miniconda2\lib\site-packages\theano\gof\type.py:405:
UserWarning: You are creating a TensorVariable with float64 dtype. You
requested an action via the Theano flag
warn_float64={ignore,warn,raise,pdb}.
return
I just updated to gpuarray backend, and suddenly I started seeing float64
warnings. I printed the graph (float64 shown in bold red below), then set
it up so that float64 triggers pdb. However, I still can't figure out which
variable it is. By using UP in pdb I eventually got to my training
on images from ImageNet
> standard dataset. Later I will post the errors. But I think that for some
> people AlexNet with theano works.
>
> Goffredo
>
> Il 28/Mar/2017 19:14, "Michael Klachko" <michael...@gmail.com
> > ha scritto:
>
>> Has anyone her
You can install everything using conda (use mingw's gcc instead of Visual
Studio):
http://deeplearning.net/software/theano/install_windows.html#requirements-installation-through-conda-recommended
Here's the summary of the process:
1. install CUDA
2. copy the CuDNN files
3. install miniconda
4.
Hi Fred, are multiple GPUs on Windows supported if I use each GPU to train
a separate network? For example, can I launch two theano programs, where
one is using device=gpu0, and the other device=gpu1?
On Monday, March 13, 2017 at 3:15:04 PM UTC-7, nouiz wrote:
>
> Hi,
>
> For many reasons,
<
frederic.bast...@gmail.com> wrote:
> Just an updated, we fixed many such useless warning. Update Theano to the
> dev version. If you still see them, tell us.
>
> Fred
>
> On Sat, Mar 25, 2017 at 4:22 AM Michael Klachko <michaelklac...@gmail.com>
> wrote:
>
>&g
Data\Miniconda2\pkgs\theano-0.9.0-py27_0\Lib\site-packages\theano
>> folder?
>>
>> On Tue, Apr 11, 2017 at 8:02 AM, Frédéric Bastien <
>> frederic.bast...@gmail.com> wrote:
>>
>> Just an updated, we fixed many such useless warning. Update Theano to
.
> Both theano and pygpu can be imported successfully, but implementing
> pygpu.test() results in those errors.
>
> Can you post you workable .theanorc file?
>
>
> On Tuesday, 28 March 2017 13:20:44 UTC-4, Michael Klachko wrote:
>
>> In my case, the problem was
The learning rate schedule is defined in this line:
updates.append((l_r,0.95*l_r)), and is used in this line: train_model =
theano.function([index], cost, updates=updates ...
If you don't understand what's going on, read about theano functions.
On Thursday, September 7, 2017 at 6:58:34 AM
I have CUDA 9.0 and CuDNN 7.0.5 on my Ubuntu 16.04, and Tensorflow works
fine. In order to install theano, I first installed miniconda, then ran "conda
install theano pygpu" and it seemed to have installed fine.
However, here's what I get:
$ python
Python 3.6.5 |Anaconda, Inc.| (default,
e cuda version installed to have TF working.
>
> Le jeu. 10 mai 2018 16:28, Michael Klachko <michael...@gmail.com
> > a écrit :
>
>> After struggling with this error for a day, I decided to upgrade CUDA to
>> 9.1 and CuDNN to 7.1. After that I got "your driver might
24 matches
Mail list logo
