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| import logging | |
| import os | |
| import sys | |
| class AverageMeter(object): | |
| """Computes and stores the average and current value | |
| """ | |
| def __init__(self): | |
| self.val = None | |
| self.avg = None | |
| self.sum = None | |
| self.count = None | |
| 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 init_logging(rank, models_root): | |
| if rank == 0: | |
| log_root = logging.getLogger() | |
| log_root.setLevel(logging.INFO) | |
| formatter = logging.Formatter("Training: %(asctime)s-%(message)s") | |
| handler_file = logging.FileHandler(os.path.join(models_root, "training.log")) | |
| handler_stream = logging.StreamHandler(sys.stdout) | |
| handler_file.setFormatter(formatter) | |
| handler_stream.setFormatter(formatter) | |
| log_root.addHandler(handler_file) | |
| log_root.addHandler(handler_stream) | |
| log_root.info('rank_id: %d' % rank) | |