patience.py

losses = [57.4, 50.7, 40.9, 39.6 ,37.9, 37.5, 36.3, 35.7, 36.5, 35.13, 36.33, 34.37, 34.78, 34.67, 34.44, 35.2, 35.66, 32.47, 34.6, 34.7, 35.14, 34.5]

import numpy as np
vhist = []
patience = 10
bad_c = 0
use_bleu = False

for i in range(len(losses)):
  loss = losses[i]
  print "%d, loss: %.2f" % (i, loss)
  vhist.append(loss)
  if len(vhist) > patience and ((use_bleu and False) or (not use_bleu and loss >= np.array(vhist)[:-patience].min())):
    bad_c += 1
    print "bad_c incremented"