warneracw21

# Imports
from __future__ import absolute_import
from __future__ import print_function
from __future__ import division

import tensorflow as tf 
import pandas as pd 
import numpy as np 

from sklearn.datasets import make_blobs

warneracw21

""" Methods for Training on a distributed Network """

"""
The session is set up to be run in a distributed local environment.

The workers should be assigned to GPUs because they do most of the
heavy lifting in the compuation. Assign a different domain:port double
for each GPU available on the local host.

The parameter servers should simply be assigned to CPUs. See the 

warneracw21

# Imports
import matplotlib.pyplot as plt
from matplotlib.path import Path
import matplotlib.patches as patches
import numpy as np
import math
import time

# Define Constants
pi = math.pi