composer.loggers.in_memory_logger#
Logs metrics to dictionary objects that persist in memory throughout training.
Useful for collecting and plotting data inside notebooks.
Classes
Logs metrics to dictionary objects that persist in memory throughout training. |
- class composer.loggers.in_memory_logger.InMemoryLogger(log_level=LogLevel.BATCH)[source]#
Bases:
composer.core.logging.base_backend.LoggerCallback
Logs metrics to dictionary objects that persist in memory throughout training. Useful for collecting and plotting data inside notebooks.
- Example usage:
from composer.loggers import InMemoryLogger from composer.trainer import Trainer from composer.core.logging import LogLevel logger = InMemoryLogger( log_level=LogLevel.BATCH ) trainer = Trainer( model=model, train_dataloader=train_dataloader, eval_dataloader=eval_dataloader, max_duration="1ep", optimizers=[optimizer], loggers=[logger] ) # Get data from logger. If you are using multiple loggers, be sure to confirm # which index in trainer.logger.backends contains your desired logger. logged_data = trainer.logger.backends[0].data
- Parameters
log_level (str or LogLevel, optional) โ
LogLevel
(i.e. unit of resolution) at which to record. Defaults toBATCH
, which records everything.
- data#
Mapping of a logged key to a (
Timestamp
,LogLevel
,TLogDataValue
) tuple. This dictionary contains all logged data.- Type