eerwitt

# Typical setup to include TensorFlow.
import tensorflow as tf

# Make a queue of file names including all the JPEG images files in the relative
# image directory.
filename_queue = tf.train.string_input_producer(
    tf.train.match_filenames_once("./images/*.jpg"))

# Read an entire image file which is required since they're JPEGs, if the images
# are too large they could be split in advance to smaller files or use the Fixed

SamvitJ

--- Paxos Proposer ---
proposer(v):
  choose n > n_p
  send prepare(n) to all servers including self
  if prepare_ok(n, n_a, v_a) from majority:
    v’ = v_a with highest n_a; choose own v otherwise
    send accept(n, v’) to all
    if accept_ok(n) from majority:
      send decided(v’) to all