DeepLearningExamples/TensorFlow/Segmentation/UNet_Industrial/dllogger/README.md

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Tools for logging DL training

DLLogger is a tool to generate logs during Deep Learning training.

Installation

git clone https://gitlab-master.nvidia.com/dl/JoC/DLLogger.git
pip install DLLogger/.

Usage

You can use DLLogger with the simplest LOGGER.log() API:

from logger.logger import LOGGER
from logger import tags

LOGGER.model = 'ResNet'
LOGGER.log(key=tags.INPUT_BATCH_SIZE, value=128)

For the more advanced usage, please refer to the dummy_run.py example.

Tags

All available tags are listed in the logger/tags.py file.