sono-bfio

sudo su -
pip install --upgrade pip
cd /opt/caffe/python
/usr/local/bin/pip install -r requirements.txt
cd ..
make pycaffe -j2
make distribute
echo 'export PYTHONPATH=/opt/caffe/python:$PYTHONPATH' >> ~/.bashrc
echo 'export PYTHONPATH=/opt/caffe/python:$PYTHONPATH' >> /home/ubuntu/.bashrc
exit

sono-bfio

curl https://boost.labs.bitfusion.io/license/U5EbxzeR2SR3hPNS4q6d/install | sudo bash -s -- -s

# Silent install with long option
curl https://boost.labs.bitfusion.io/license/U5EbxzeR2SR3hPNS4q6d/install | sudo bash -s -- --silentinstall

sono-bfio

mkdir -p .jupyter/custom
touch .jupyter/custom/startup.py

  Contents:
  import warnings:
  warnings.filterwarnings('ignore')

sudo service ipython-notebook restart

sono-bfio

Install Jupyter with Python 2 and Python 3 Kernels

• Assumes you are logged in as the ubuntu user
• Tested and run on ubuntu 14.04

Install Jupyter (Python2)

sudo pip2 install jupyter

sono-bfio

To install TensorFlow Serving dependencies, execute the following:

sudo /usr/local/bin/pip2 install mock
sudo apt-get update && sudo apt-get install -y \
        build-essential \
        curl \
        git \
        libfreetype6-dev \
        libpng12-dev \
        libzmq3-dev \

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Installing tf learn - python 2.7

/usr/local/bin/pip2 tflearn

Install tf learn - python 3.4

/usr/local/bin/pip3 tflearn

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from __future__ import division, print_function, absolute_import

# Import tflearn and some helpers
import tflearn
from tflearn.data_utils import shuffle
from tflearn.layers.core import input_data, dropout, fully_connected
from tflearn.layers.conv import conv_2d, max_pool_2d
from tflearn.layers.estimator import regression
from tflearn.data_preprocessing import ImagePreprocessing
from tflearn.data_augmentation import ImageAugmentation

sono-bfio

Upgrading the GPU nodes

1. Launch Bitfusion Boost cluster

2. Log into the client node

$ ssh -l ubuntu -i path/to/your_key.pem {IP}

sono-bfio

Upgrading the GPU nodes

1. Launch Bitfusion Boost cluster

2. Log into the client node

$ ssh -l ubuntu -i path/to/your_key.pem {IP}

sono-bfio

from __future__ import division, print_function, absolute_import

# Import tflearn and some helpers
import tflearn
from tflearn.data_utils import shuffle
from tflearn.layers.core import input_data, dropout, fully_connected
from tflearn.layers.conv import conv_2d, max_pool_2d
from tflearn.layers.estimator import regression
from tflearn.data_preprocessing import ImagePreprocessing
from tflearn.data_augmentation import ImageAugmentation