Skip to content

Genomic Selection using Neural Networks implemented in TensorFlow

License

Notifications You must be signed in to change notification settings

azodichr/TF-GenomicSelection

Repository files navigation

TF-GenomicSelection

Genomic Selection using Neural Networks implemented in TensorFlow

Setting up virtual environment on HPCC to run TensorFlow

  1. To start with, you must use a GPU node ssh dev-intel16-k80

  2. clear default modules module purge

  3. load required modules module load singularity module load centos/7.4

  4. start the Centos container to use the later operating system to /opt/software/CentOS/7.4--singularity/bin/centos7.4 Note: the prompt will change, create a virtual environment in your home directory

module load CUDA/8.0 module load cuDNN/6.0

  1. create your virtual env for your custom python install. PYDIR=$HOME/python3-tf virtualenv --system-site-packages -p python3 $PYDIR

  2. activate the new environment source $PYDIR/bin/activate

  3. Install needed packages pip3 install --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.4.0-cp34-cp34m-linux_x86_64.whl pip3 install matplotlib pip3 install numpy pip3 install pandas

Set up to run at WISC via GLBRC crediential

  1. Install GLBRC VPN for UW. https://intranet.wei.wisc.edu/information_technology/Lists/KB/DispForm.aspx?ID=51

About

Genomic Selection using Neural Networks implemented in TensorFlow

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages