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meters.py
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meters.py
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import random
class AverageMeter(object):
"""Computes and stores the average and current value"""
def __init__(self, name, fmt=':.3f'):
self.name = name
self.fmt = fmt
self.reset()
def reset(self):
self.val = 0
self.avg = 0
self.sum = 0
self.count = 0
def update(self, val, n=1):
self.val = val
self.sum += val * n
self.count += n
self.avg = self.sum / self.count
def __str__(self):
fmtstr = '{name} {val' + self.fmt + '} ({avg' + self.fmt + '})'
return fmtstr.format(**self.__dict__)
class ProgressMeter(object):
def __init__(self, num_batches, prefix=""):
self.batch_fmtstr = self._get_batch_fmtstr(num_batches)
self.prefix = prefix
self.meters = {}
def update(self, batch, dic):
if batch == 0:
for key in dic:
m = AverageMeter(key, ":.4f")
self.meters[key] = m
for key in dic:
self.meters[key].update(dic[key])
def display(self, batch):
meters = set(self.meters.values())
entries = [self.prefix + self.batch_fmtstr.format(batch)]
entries += [str(meter) for meter in 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) + ']'
def data_gen():
ret = {}
ret["data1"] = random.random()
ret["sine"] = random.random() * 2
ret["adfasdf"] = random.random() * 3
return ret
if __name__ == "__main__":
BATCH = 1000
meters = {}
progress = ProgressMeter(BATCH)
for i in range(BATCH):
ret = data_gen()
progress.update(i, ret)
progress.display(i)