sample-loggers 0.0.3.post1

This package provides sample loggers.

Deep Learning Tools for Pytorch

This package provides some common configurations to quickly create your own logger through the logging library.

Installation

pip install sample_loggers

Example for using

import os
import logging
from loggers import LoggerController

os.makedirs('./output', exist_ok=True)
logger_controller = LoggerController(log_file_name="log.txt" ,output_dir=config.OUTPUT)
logger = logger_controller.create_logger(
    logger_name='food_classification',
    log_level=logging.DEBUG,
    format_type="default"
)

Update

• 0.0.3post1 - Fix the bug.
• 0.0.3 - Add the level definition.
• 0.0.2post2 - Fix the bug.
• 0.0.2post1 - Fix the bug.
• 0.0.2 - Add the summery and throughput method.
• 0.0.1 - We provide the common config for logging to create logger.

License

Sample Loggers is MIT licensed. See the LICENSE for details.