subprocess_runner

This file contains some utilities that are useful to run a function inside an independent sub-process.

When the subprocess is finished the memory is fully released, which is useful to avoid memory leaks, especially from tensorflow.

tensiometer.utilities.subprocess_runner.run_in_process(**kwargs)

Decorator to run a function in a subprocess with optional feedback, monitoring, and timeout capabilities.

Parameters:

kwargs (dict): Overrides for default settings. Valid keys are:

• ‘subprocess’ (bool): Whether to run the function in a subprocess.

• ‘feedback_level’ (int): Feedback verbosity level (0 to 3).

• ‘context’ (str): Multiprocessing context (‘fork’, ‘spawn’, ‘forkserver’).

• ‘monitoring’ (bool): Enable/disable monitoring.

• ‘monitoring_frequency’ (int): Monitoring update frequency in seconds.

• ‘timeout’ (int or None): Maximum allowed runtime in seconds.

Returns:

function: A wrapped version of the input function with subprocess capabilities.