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Jupyter Notebooks

The Jupyter Notebooks provide tutorials on how to run models within the Xilinx ML Suite.
Jupyter is preinstalled in the Xilinx ML Suite Docker image.

Notebook Setup

Follow these instructions from inside a running container

  1. Install the necessary dataset
# For Imagenet
cd /opt/ml-suite/examples/caffe
python -m ck pull repo:ck-env
python -m ck install package:imagenet-2012-val-min
python -m ck install package:imagenet-2012-aux
head -n 500 $HOME/CK-TOOLS/dataset-imagenet-ilsvrc2012-aux/val.txt > \
$HOME/CK-TOOLS/dataset-imagenet-ilsvrc2012-val-min/val_map.txt
# Resize all the images to a common dimension for Caffe
python resize.py $HOME/CK-TOOLS/dataset-imagenet-ilsvrc2012-val-min 256 256
# Get the necessary models
python getModels.py
  1. Launch Jupyter notebook server
cd /opt/ml-suite/notebooks
jupyter notebook --no-browser --ip=0.0.0.0 --NotebookApp.token='' --NotebookApp.password=''
  1. Open a broswer, and navigate to one of:
  • <yourpublicipaddress>:8888
  • <yourdns>:8888
  • <yourhostname>:8888