DavidFricker

from keras import backend
from keras.backend import numpy_backend
import numpy as np
import tensorflow as tf


class NPTF(object):

  def __getattr__(self, name):
    if name in dir(numpy_backend) and name in dir(backend):

DavidFricker

var net = require("net");

process.on("uncaughtException", function(error) {
  console.error(error);
});

if (process.argv.length != 5) {
  console.log("usage: %s <localport> <remotehost> <remoteport>", process.argv[1]);
  process.exit();
}