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 : /notebooksDatasets dir found : //data/datasets-fidle (Datasets Fidle / 1.6) The environment variable FIDLE_DATASETS_DIR is : /data/datasets-fidleNotebooks 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)