Is there a way to display the average of multiple different runs on tensorflow? I can only see them on the same graph (by sending the path of the different runs), but I want to see their average on the graph
As @dga mentioned this is not implemented yet. Here is some code that uses EventAccumulator
to combine scalar tensorflow summary values. This can be extended to accommodate the other summary types.
import os
from collections import defaultdict
import numpy as np
import tensorflow as tf
from tensorboard.backend.event_processing.event_accumulator import EventAccumulator
def tabulate_events(dpath):
summary_iterators = [EventAccumulator(os.path.join(dpath, dname)).Reload() for dname in os.listdir(dpath)]
tags = summary_iterators[0].Tags()['scalars']
for it in summary_iterators:
assert it.Tags()['scalars'] == tags
out = defaultdict(list)
for tag in tags:
for events in zip(*[acc.Scalars(tag) for acc in summary_iterators]):
assert len(set(e.step for e in events)) == 1
out[tag].append([e.value for e in events])
return out
def write_combined_events(dpath, d_combined, dname='combined'):
fpath = os.path.join(dpath, dname)
writer = tf.summary.FileWriter(fpath)
tags, values = zip(*d_combined.items())
timestep_mean = np.array(values).mean(axis=-1)
for tag, means in zip(tags, timestep_mean):
for i, mean in enumerate(means):
summary = tf.Summary(value=[tf.Summary.Value(tag=tag, simple_value=mean)])
writer.add_summary(summary, global_step=i)
writer.flush()
dpath = '/path/to/root/directory'
d = tabulate_events(dpath)
write_combined_events(dpath, d)
This solution assumes a directory structure like the following:
dpath
├── 1
│ └── events.out.tfevents.1518552132.Alexs-MacBook-Pro-2.local
├── 11
│ └── events.out.tfevents.1518552180.Alexs-MacBook-Pro-2.local
├── 21
│ └── events.out.tfevents.1518552224.Alexs-MacBook-Pro-2.local
├── 31
│ └── events.out.tfevents.1518552264.Alexs-MacBook-Pro-2.local
└── 41
└── events.out.tfevents.1518552304.Alexs-MacBook-Pro-2.local
Please follow issue 376 to see progress on this. It's an active feature request with some progress in the last month, but as of now, there's not a way to do what you want. Yet.
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