utils.py

# Copyright (c) 2020 Tongzhou Wang
import torch


class AverageMeter(object):
    r"""
    Computes and stores the average and current value.
    Adapted from
    https://github.com/pytorch/examples/blob/ec10eee2d55379f0b9c87f4b36fcf8d0723f45fc/imagenet/main.py#L359-L380
    """
    def __init__(self, name=None, fmt='.6f'):
        fmtstr = f'{{val:{fmt}}} ({{avg:{fmt}}})'
        if name is not None:
            fmtstr = name + ' ' + fmtstr
        self.fmtstr = fmtstr
        self.reset()

    def reset(self):
        self.val = 0
        self.sum = 0
        self.count = 0

    def update(self, val, n=1):
        self.val = val
        self.sum += val * n
        self.count += n

    @property
    def avg(self):
        return float(self.sum / self.count)

    def __str__(self):
        avg = self.avg
        val = float(self.val)  # assuming float, we are `AverageMeter`
        return self.fmtstr.format(val=val, avg=avg)


class ProgressMeter(object):
    BR = '\n'

    def __init__(self, num_batches, meters, prefix=""):
        self.batch_fmtstr = self._get_batch_fmtstr(num_batches)
        self.meters = meters
        self.prefix = prefix

    def display(self, batch):
        entries = [self.prefix + self.batch_fmtstr.format(batch)]
        entries += [str(meter) for meter in self.meters]
        print('\t'.join(entries))

    def _get_batch_fmtstr(self, num_batches):
        num_digits = len(str(num_batches // 1))
        fmt = '{:' + str(num_digits) + 'd}'
        return '[' + fmt + '/' + fmt.format(num_batches) + ']'