mirror of https://github.com/hpcaitech/ColossalAI
32 lines
901 B
Python
32 lines
901 B
Python
import os
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import logging
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import torch.distributed as dist
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logging.basicConfig(
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format='%(asctime)s - %(levelname)s - %(name)s - %(message)s',
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datefmt='%m/%d/%Y %H:%M:%S',
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level=logging.INFO)
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logger = logging.getLogger(__name__)
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class Logger():
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def __init__(self, log_path, cuda=False, debug=False):
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self.logger = logging.getLogger(__name__)
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self.cuda = cuda
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self.log_path = log_path
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self.debug = debug
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def info(self, message, log_=True, print_=True, *args, **kwargs):
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if (self.cuda and dist.get_rank() == 0) or not self.cuda:
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if print_:
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self.logger.info(message, *args, **kwargs)
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if log_:
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with open(self.log_path, 'a+') as f_log:
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f_log.write(message + '\n')
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def error(self, message, *args, **kwargs):
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self.logger.error(message, *args, **kwargs)
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