To Check the image has been pulled :
-
Have a look to your image:
$ docker imagesOn standard output, you should have a line of the form
gricad-registry.univ-grenoble-alpes.fr/talks/fidle/fidle_cpu python3.7 [...] 6.05GB -
You can test it :
$ docker run --rm gricad-registry.univ-grenoble-alpes.fr/talks/fidle/fidle_cpu:python3.7 fid check -
You should see printed the following lines (version numbers may change) :
==========================================================
fid - Your favorite Fidle admin command :-) (v2.0b47)
==========================================================
Notebooks and datasets can only be found if they are in/near the explored folder.
Explored directory is : /notebooks
Datasets dir found :
//data/datasets-fidle (Datasets Fidle / 1.6)
The environment variable FIDLE_DATASETS_DIR is : /data/datasets-fidle
Notebooks dir found :
//notebooks/fidle-master (Notebooks Fidle / 2.2.2)
/notebooks/fidle-master (Notebooks Fidle / 2.2.2)
Check environment :
Python : Ok (3.7.15)
Fidle module : Ok (2.0b47)
tensorflow : Ok (2.9.0)
tensorflow.keras : Ok (2.9.0)
numpy : Ok (1.21.6)
sklearn : Ok (1.0.2)
skimage : Ok (0.19.3)
matplotlib : Ok (3.5.3)
plotly : Ok (5.10.0)
pandas : Ok (1.3.5)
jupyterlab : Ok (3.4.8)
torch : Ok (1.12.1+cu102)
torchvision : Ok (0.13.1+cu102)