Benchmarks/README.setup.linux at master · georgezakinih/Benchmarks · GitHub

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# Set up your python environment
# ------------------------------

# Download the Anaconda installer
curl -o Anaconda2-4.3.1-Linux-x86_64.sh https://repo.continuum.io/archive/Anaconda2-4.3.1-Linux-x86_64.sh

# Make the installer executable
chmod u+x ./Anaconda2-4.3.1-Linux-x86_64.sh

# Run the installer, accepting the defaults.
./Anaconda2-4.3.1-Linux-x86_64.sh

# Add anaconda2/bin to your path (assumes default install location)
export PATH=$HOME/anaconda2/bin:$PATH

# Install additonal modules not shipped with Anaconda
conda install -c conda-forge tensorflow
conda install -c anaconda hdf5=1.8.17
pip install git+git://github.com/Theano/Theano.git
pip install git+git://github.com/fchollet/keras.git


# Set up special environment for Pilot2 benchmars using keras version 1
# This will go away when Pilot2 benchmarks are upgraded to keras version 2
conda create --name keras1
source activate
conda install opencv
conda install -c conda-forge keras=1
conda install -c conda-forge tensorflow
conda install matplotlib
conda install PIL
conda install tqdm
conda install scikit-learn
conda install mkl-service

source deactivate keras1

# Download the source files for the tutorial
git clone https://github.com/ECP-Candle/benchmarks

# Run the Pilot1  benchmark
pushd benchmarks/Pilot1/P1B1/
python p1b1_baseline_keras2.py
popd

pushd benchmarks/Pilot1/P1B2/
python p1b2_baseline_keras2.py
popd

pushd benchmarks/Pilot1/P1B3/
python p1b3_baseline_keras2.py
popd

# Run the Pilot2 benchmarks
source activate keras1

pushd benchmarks/Pilot2/P2B1/
python p2b1_baseline_keras1.py
popd

pushd benchmarks/Pilot2/P2B2/
python p2b2_baseline_keras1.py
popd

source deactivate keras1

# Run the Pilot3 benchmarks
pushd benchmarks/Pilot3/P3B1/
python p3b1_baseline_keras2.py
popd

pushd benchmarks/Pilot3/P3B2/
python p3b2_baseline_keras2.py
popd