77 lines
1.9 KiB
Python
77 lines
1.9 KiB
Python
from __future__ import absolute_import
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import os
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import sys
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import errno
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import shutil
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import os.path as osp
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def mkdir_if_missing(directory):
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if not osp.exists(directory):
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try:
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os.makedirs(directory)
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except OSError as e:
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if e.errno != errno.EEXIST:
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raise
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class AverageMeter(object):
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"""Computes and stores the average and current value.
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Code imported from https://github.com/pytorch/examples/blob/master/imagenet/main.py#L247-L262
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"""
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def __init__(self):
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self.reset()
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def reset(self):
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self.val = 0
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self.avg = 0
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self.sum = 0
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self.count = 0
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def update(self, val, n=1):
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self.val = val
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self.sum += val * n
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self.count += n
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self.avg = self.sum / self.count
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def save_checkpoint(state, is_best, fpath='checkpoint.pth.tar'):
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mkdir_if_missing(osp.dirname(fpath))
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torch.save(state, fpath)
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if is_best:
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shutil.copy(fpath, osp.join(osp.dirname(fpath), 'best_model.pth.tar'))
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class Logger(object):
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"""
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Write console output to external text file.
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Code imported from https://github.com/Cysu/open-reid/blob/master/reid/utils/logging.py.
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"""
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def __init__(self, fpath=None):
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self.console = sys.stdout
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self.file = None
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if fpath is not None:
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mkdir_if_missing(os.path.dirname(fpath))
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self.file = open(fpath, 'w')
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def __del__(self):
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self.close()
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def __enter__(self):
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pass
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def __exit__(self, *args):
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self.close()
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def write(self, msg):
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self.console.write(msg)
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if self.file is not None:
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self.file.write(msg)
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def flush(self):
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self.console.flush()
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if self.file is not None:
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self.file.flush()
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os.fsync(self.file.fileno())
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def close(self):
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self.console.close()
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if self.file is not None:
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self.file.close() |