easy-tf-log 1.1

TensorFlow logging made easy

Easy TensorFlow Logging

Are you prototyping something and want to be able to magically graph some value without going through all the usual steps to set up TensorFlow logging properly?

easy_tf_log is a simple module to do just that.

from easy_tf_log import tflog

then you can do

for i in range(10):
    tflog('really_interesting_variable_name', i)

and you'll find a directory logs that you can point TensorBoard to

$ tensorboard --logdir logs

to get

Based on logging code from OpenAI's baselines.

Installation

For TensorFlow without GPU support:

pip install git+https://github.com/mrahtz/easy-tf-log#egg=easy-tf-log[tf]

For TensorFlow with GPU support:

pip install git+https://github.com/mrahtz/easy-tf-log#egg=easy-tf-log[tf_gpu]

Usage

On import, easy_tf_log sets up a logger saving to a directory logs. To change the directory it logs to, call easy_tf_log.set_dir(log_dir).

tflog(key, value): log value with name key.

See demo.py for a full demo.