#!/usr/bin/env python3 # -*- coding: utf-8 -*- # this script renames event names in tensorboard log files # it does the rename in place (so make back ups!) # # example: # # find . -name "*.tfevents*" -exec tb-rename-events.py {} "iteration-time" "iteration-time/iteration-time" \; # # more than one old tag can be remapped to one new tag - use `;` as a separator: # # tb-rename-events.py events.out.tfevents.1 "training loss;validation loss" "loss" # # this script is derived from https://stackoverflow.com/a/60080531/9201239 # # Important: this script requires CUDA environment. import shlex import sys from pathlib import Path import os # avoid using the GPU os.environ['CUDA_VISIBLE_DEVICES'] = '' # disable logging os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3' import tensorflow as tf from tensorflow.core.util.event_pb2 import Event def rename_events(input_file, old_tags, new_tag): new_file = input_file + ".new" # Make a record writer with tf.io.TFRecordWriter(new_file) as writer: # Iterate event records for rec in tf.data.TFRecordDataset([input_file]): # Read event ev = Event() ev.MergeFromString(rec.numpy()) # Check if it is a summary #print(ev) if ev.summary: # Iterate summary values for v in ev.summary.value: #print(v) # Check if the tag should be renamed if v.tag in old_tags: # Rename with new tag name v.tag = new_tag writer.write(ev.SerializeToString()) os.rename(new_file, input_file) def rename_events_dir(input_file, old_tags, new_tag): # Write renamed events rename_events(input_file, old_tags, new_tag) if __name__ == '__main__': if len(sys.argv) != 4: print(f'{sys.argv[0]} ', file=sys.stderr) sys.exit(1) input_file, old_tags, new_tag = sys.argv[1:] print(input_file, shlex.quote(old_tags), shlex.quote(new_tag)) old_tags = old_tags.split(';') rename_events_dir(input_file, old_tags, new_tag)