def cdCmd(path, DEFAULTS, layout):
"""
Set working directory and load default parameters (main).
"""
import sys
from platform import uname
IN_COLAB = "google.colab" in sys.modules
IN_WSL2 = "microsoft-standard" in uname().release
IN_LINUX = not IN_COLAB and not IN_WSL2
out = layout["out"]
path = get_path(path)
with out:
main(cd=path)
logger.info("Loading configuration data ...")
# Tabs
tab = widgets.Tab()
tab.children = [glimpseUI(out, DEFAULTS), fitUI(out, DEFAULTS)]
if IN_LINUX:
tensorboard = widgets.Output()
tab.children = tab.children + (showUI(out, DEFAULTS), tensorboard)
elif IN_WSL2:
tensorboard = None
tensorboard_info = widgets.Label(
value=(
'Run "tensorboard --logdir=<working directory>" in the terminal'
' and then open "localhost:6006" in the browser'
)
)
tab.children = tab.children + (showUI(out, DEFAULTS), tensorboard_info)
elif IN_COLAB:
tensorboard = None
tab.children = tab.children + (
widgets.Label(value="Disabled in Colab"),
widgets.Label(value="Disabled in Colab"),
)
tab.children = tab.children + (logUI(out),)
tab.set_title(0, "Extract AOIs")
tab.set_title(1, "Fit the data")
tab.set_title(2, "View results")
tab.set_title(3, "Tensorboard")
tab.set_title(4, "View logs")
if tensorboard is not None:
with tensorboard:
notebook.start(f"--logdir '{path}'")
notebook.display(height=1000)
# insert tabs into GUI
wd = widgets.Label(value=f"Working directory: {path}")
layout.remove_child("cd")
layout.add_child("tab", tab, beginning=True)
layout.add_child("wd", wd, beginning=True)
with out:
logger.info("Loading configuration data: Done")
out.clear_output(wait=True)
def setup_tensorboard(args):
from tensorboard import notebook, manager
import signal
import shutil
# Kill tensorboard
for info in manager.get_all():
data_source = manager.data_source_from_info(info)
print(f"port {info.port}: {data_source} (pid {info.pid})")
if data_source == "logdir {args.output_dir}":
pid = info.pid
logger.info(f"Killing tensorboard at pid: {pid}")
os.kill(pid, signal.SIGKILL)
break
# Delete output directory
if os.path.exists(args.output_dir):
logger.info(f"Deleting {args.output_dir}")
shutil.rmtree(args.output_dir)
logger.info(f"Creating {args.output_dir}")
os.makedirs(args.output_dir)
# Start notebook
notebook.start(f"--logdir {args.output_dir}")
# Kill tensorboard
for info in manager.get_all():
data_source = manager.data_source_from_info(info)
print(f"port {info.port}: {data_source} (pid {info.pid})")
if data_source == "logdir {args.output_dir}":
port = info.port
print()
notebook.display(port=port, height=1000)
break
# 1 load la première cell
# 2 utiliser la derniere cell avec --logdir (précisez bien votre répertoire, plus sur que ça
# fonctionne avec une string "mon_path"
# 3 Vous NE POURREZ PLUS update tensorboard sur ce port et il y aura des bugs, pour éviter ça
# quand vous voulez faire une update, fermez jupyter notebook (shutdown total) et réouvrez le
# OU, faites kernel->interrupt et changez de port + de folder de log
#PS : Oui, c'est de la merde
# Liste des ports utilisés par tensorboard, attention ça se remplit vite et il faut kill jupyter pour clean
from tensorboard import notebook
notebook.list()
# Tuez des processus si vous voulez, moi ça fonctionne po :(
import os
os.system("taskkill /im tensorboard.exe /f") #kill tous les processus qui utilisent tensorboard
#os.system('!kill 18776') #kill le processus X
# Commented out IPython magic to ensure Python compatibility.
# %tensorboard --logdir "CONVNETS_120120/logs1/tensorboard_data" --port=6063
# Code pour démarrer tensorboard dans le dossier souhaité [PRECISEZ BIEN LE DOSSIER ICI]
# Si vous avez la folie des grandeurs
notebook.display(port=6063, height=1000)
### Fichier CSV Recap + Graphique
data_csv = pd.read_csv(main_directory+"\\logs_20200113-231554\\recap.csv")
data_csv.head()
image = pyplot.imread("C:\\Users\\arnau\\Desktop\\quatrième_année\\Deep_Learning\\Projet_cifar-10\\CONVNETS_20200113-1951\\logs1\\indiv1_plot.png")
pyplot.imshow(image)
