matthewcarbone

import matplotlib as mpl
import matplotlib.pyplot as plt
from mpl_toolkits import axes_grid1


class MPLAdjutant:

    def __init__(self):
        self.default_DPI = 250
        # self.default_labelsize = 14

matthewcarbone

Step 1: Generate a virtual environment using Anaconda. conda create -n tensorflow pip python=3.3

Step 2: Within that virtual environment on the login node, install the tensorflow-gpu package. My VI is called 'tensorflow'. conda install -n tensorflow anaconda tensorflow-gpu

Step 3: Make tf_gpu_test.py executable. chmod +x tf_gpu_test.py

matthewcarbone

#!/bin/sh
parse_yaml() {
   local prefix=$2
   local s='[[:space:]]*' w='[a-zA-Z0-9_]*' fs=$(echo @|tr @ '\034')
   sed -ne "s|^\($s\)\($w\)$s:$s\"\(.*\)\"$s\$|\1$fs\2$fs\3|p" \
        -e "s|^\($s\)\($w\)$s:$s\(.*\)$s\$|\1$fs\2$fs\3|p"  $1 |
   awk -F$fs '{
      indent = length($1)/2;
      vname[indent] = $2;
      for (i in vname) {if (i > indent) {delete vname[i]}}