Hi GreasyPenguin14
This is what I did, but I could not reproduce the hang, how is this different from your code?
` from multiprocessing import Process
import numpy as np
from matplotlib import pyplot as plt
from clearml import Task, StorageManager

class MyProcess(Process):
def run(self):
# in another process
global logger
# Create a plot
N = 50
x = np.random.rand(N)
y = np.random.rand(N)
colors = np.random.rand(N)
area = (30 * np.random.rand(N)) ** 2 # 0 to 15 point radii
plt.scatter(x, y, s=area, c=colors, alpha=0.5)
# Plot will be reported automatically
task.logger.report_matplotlib_figure(title="My Plot Title", series="My Plot Series", iteration=10, figure=plt)

Task.set_offline(True)

task = Task.init(
project_name='debug',
task_name='exit subprocess',
auto_connect_arg_parser=True,
auto_connect_streams=True,
auto_connect_frameworks=True,
auto_resource_monitoring=True,
)
parameters = dict(key='value')
task.connect_configuration(parameters)
logger = task.get_logger()

p = MyProcess()
p.start()

csv_file = StorageManager.get_local_copy(" ")
logger.report_table("table", "csv", iteration=0, csv=csv_file)

p.join()
task.close() `