Statistics.py

import time
import math
import sys

class Statistics(object):
    """
    Train/validate loss statistics.
    """
    def __init__(self, loss=0, n_words=0, n_correct=0, n_src_words=0):
        self.loss = loss
        self.n_words = n_words
        self.n_correct = n_correct
        self.n_src_words = n_src_words
        self.start_time = time.time()

    def update(self, stat):
        self.loss += stat.loss
        self.n_words += stat.n_words
        self.n_correct += stat.n_correct

    def __str__(self):
      return('Loss: {}, Words:{}, Correct:{} '.format(self.loss, self.n_words, self.n_correct))

    def accuracy(self):
        return 100 * (self.n_correct / self.n_words)

    def ppl(self):
        return math.exp(min(self.loss / self.n_words, 100))

    def elapsed_time(self):
        return time.time() - self.start_time

    def output(self, epoch, batch, n_batches, start):
        t = self.elapsed_time()
        print(("Epoch %2d, %5d/%5d; acc: %6.2f; ppl: %6.2f; " +
               "%3.0f src tok/s; %3.0f tgt tok/s; %6.0f s elapsed") %
              (epoch, batch,  n_batches,
               self.accuracy(),
               self.ppl(),
               self.n_src_words / (t + 1e-5),
               self.n_words / (t + 1e-5),
               time.time() - start))
        sys.stdout.flush()