I downloaded the DLS 2.1.0 on my win10 on other machine as I was having troubles on ubuntu, I have never installed CUDA before on this system, I installed CUDA using deep cognition setup only but still my GPU is not being detected.
These are the logs
Starting Deep Learning Studio…
Checking GPU support…
GPU not supported
skipping cifar dataset download!
skipping IMDB dataset download!
skipping MNIST dataset download!
skipping reuters dataset download!
Using MXNet backend.
C:\Users\Bharat\Documents\DeepLearningStudio\conda3\lib\site-packages\allauth\account\templatetags\account_tags.py:4: DeprecationWarning: {% load account_tags %} is deprecated, use {% load account %}
DeprecationWarning)
C:\Users\Bharat\Documents\DeepLearningStudio\conda3\lib\site-packages\allauth\socialaccount\templatetags\socialaccount_tags.py:4: DeprecationWarning: {% load socialaccount_tags %} is deprecated, use {% load socialaccount %}
" {% load socialaccount %}“, DeprecationWarning)
No changes detected
Using MXNet backend.
C:\Users\Bharat\Documents\DeepLearningStudio\conda3\lib\site-packages\allauth\account\templatetags\account_tags.py:4: DeprecationWarning: {% load account_tags %} is deprecated, use {% load account %}
DeprecationWarning)
C:\Users\Bharat\Documents\DeepLearningStudio\conda3\lib\site-packages\allauth\socialaccount\templatetags\socialaccount_tags.py:4: DeprecationWarning: {% load socialaccount_tags %} is deprecated, use {% load socialaccount %}
" {% load socialaccount %}”, DeprecationWarning)
Operations to perform:
Apply all migrations: account, admin, auth, authtoken, automl, contenttypes, environments, project, projects, reversion, sessions, sites, socialaccount
Running migrations:
No migrations to apply.
Using MXNet backend.
Using MXNet backend.
- Running on LINK/ (Press CTRL+C to quit)
Starting server worker…Server worker has been started. [ID: 1 | PID: 40812]
[08/Jul/2018:02:00:17] ENGINE Bus STARTING
[08/Jul/2018:02:00:17] ENGINE Serving on LINK
[08/Jul/2018:02:00:17] ENGINE Bus STARTED
[I 02:00:34.008 NotebookApp] Serving notebooks from local directory: C:\Users\Bharat\Documents\DeepLearningStudio\data\1
[I 02:00:34.008 NotebookApp] 0 active kernels
[I 02:00:34.008 NotebookApp] The Jupyter Notebook is running at:
[I 02:00:34.008 NotebookApp] http://127 .0. 0. 1: 8886/?token=…
[I 02:00:34.008 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
Server worker is ready to accept messages. [ID: 1 | PID: 40812][2018-07-07T20:30:43.184Z] INFO: Theia/40812 on ratcoder: Theia app listening on http://0.0.0.0:8889.
Received message which is neither a response nor a notification message:
“8889”[2018-07-07T20:30:43.951Z] INFO: Theia/40812 on ratcoder:
[nsfw-watcher: 44208] Started watching: c:\Users\Bharat\Documents\DeepLearningStudio\home\theia\examples\browser\package.json
C:\Users\Bharat\Documents\DeepLearningStudio\conda3\lib\site-packages\allauth\account\templatetags\account_tags.py:4: DeprecationWarning: {% load account_tags %} is deprecated, use {% load account %}
DeprecationWarning)
C:\Users\Bharat\Documents\DeepLearningStudio\conda3\lib\site-packages\allauth\socialaccount\templatetags\socialaccount_tags.py:4: DeprecationWarning: {% load socialaccount_tags %} is deprecated, use {% load socialaccount %}
" {% load socialaccount %}", DeprecationWarning)
My GPU - GeForce GT 520MX
The output of .\conda3\python .\home\app\gpucheck.py is
Using MXNet backend.
[02:16:07] C:\projects\mxnet-distro-win\mxnet-build\dmlc-core\include\dmlc/logging.h:308: [02:16:07] C:\projects\mxnet-distro-win\mxnet-build\src\storage\storage.cc:113: Compile with USE_CUDA=1 to enable GPU usage
Checking GPU support…Not supported
simple_bind error. Arguments:
Input_1: (10, 1)
[02:16:07] C:\projects\mxnet-distro-win\mxnet-build\src\storage\storage.cc:113: Compile with USE_CUDA=1 to enable GPU usage