How to turn off events.out.tfevents file in tf.contrib.learn Estimator

Question

When using estimator.Estimator in tensorflow.contrib.learn, after training and prediction there are these files in the modeldir:

• checkpoint
• events.out.tfevents.1487956647
• events.out.tfevents.1487957016
• graph.pbtxt
• model.ckpt-101.data-00000-of-00001
• model.ckpt-101.index
• model.ckpt-101.meta

When the graph is complicated or the number of variables is big, the graph.pbtxt file and the events files can be very big. Is here a way to not write these files? Since model reloading only needs the checkpoint files removing them won't affect evaluation and prediction down the road.

Answer 1

On Google's Machine Learning Crash Course they use the following approach:

# Create classifier:
classifier = tf.estimator.DNNRegressor(
    feature_columns=feature_columns,
    optimizer=optimizer
)

# Train it:
classifier.train(
    input_fn=training_input_fn,
    steps=steps
)

# Remove event files to save disk space.
_ = map(os.remove, glob.glob(os.path.join(classifier.model_dir, 'events.out.tfevents*')))

Answer 2

If you don't want the events.out.tfevents files to be written. Find in your code somethings like these and delete them.

tfFileWriter = tf.summary.FileWriter(os.getcwd())
tfFileWriter.add_graph(sess.graph)
tfFileWriter.close()