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Tensorboard loader now handles empty folders. #59

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Tensorboard loader now handles empty folders. #59

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19 changes: 8 additions & 11 deletions src/deepymod/analysis/load_tensorboard.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,8 +3,6 @@
import pandas as pd
from tensorboard.backend.event_processing.event_accumulator import EventAccumulator
import os
from natsort import natsorted
import matplotlib.pyplot as plt


def load_tensorboard(path: str) -> pd.DataFrame:
Expand All @@ -17,16 +15,17 @@ def load_tensorboard(path: str) -> pd.DataFrame:
DataFrame: Pandas dataframe with all run data.
"""

event_paths = [
file
for file in os.walk(path, topdown=True)
if file[2][0][: len("events")] == "events"
]
def event_filter(x):
is_event = False
if len(x[2]) > 0: # check if folder contains files
if x[2][0].find("event") != -1: # check if folder contains eventfile
is_event = True
return is_event

df = pd.DataFrame()
steps = None # steps are the same for all files

for event_idx, path in enumerate(event_paths):
for path in filter(event_filter, os.walk(path, topdown=True)):
summary_iterator = EventAccumulator(os.path.join(path[0], path[2][0])).Reload()
tags = summary_iterator.Tags()["scalars"]
data = [
Expand All @@ -37,9 +36,7 @@ def load_tensorboard(path: str) -> pd.DataFrame:

# Adding to dataframe
tags = [tag.replace("/", "_") for tag in tags] # for name consistency
if (
event_idx > 0
): # We have one file in the top level, so after we need to use folder name
if len(path[1]) == 0: # if there's no deeper folder, add the folder name.
tags = [path[0].split("/")[-1]]

for idx, tag in enumerate(tags):
Expand Down