Graceful Shutdown for PyCaffe
This topic shows you how to gracefully shutdown an experiment. The topic builds on Getting Started for PyCaffe with Solve.
The following steps are covered:
- Create a stopped callback function.
- Set the stopped callback function to MissingLink's callback.
- Stop the experiment from MissingLink's web dashboard.
Go through Getting Started for PyCaffe with Solve.
Ensure that you can successfully run thetraining script that resulted from integration with the MissingLink SDK. In the steps that follow below, the script is further developed to include graceful shutdown.
Compare thewith the .
Create a stopped callback function.
Right above declaring MissingLink's callback, define your stopped callback:
def start_new_experiment(): # Write code here that starts a new experiment pass def log_experiment_to_internal_log(): # Write code here that logs important information # to your internal logs pass def stopped_callback(): start_new_experiment() log_experiment_to_internal_log() missinglink_callback = missinglink.PyCaffeCallback( owner_id=OWNER_ID, project_token=PROJECT_TOKEN)
Set the stopped callback to be called.
In the base script, modify the declaration of MissingLink's callback:
missinglink_callback = missinglink.PyCaffeCallback( owner_id=OWNER_ID, project_token=PROJECT_TOKEN, stopped_callback=stopped_callback)
You can find the full updated script.
You are done adding the graceful shutdown callback to your experiment. Now run the script and stop it using the web dashboard.
Stop the experiment through the dashboard while it is still running.
Go to MissingLink.ai's web dashboard, navigate to the experiment and click Stop.
You will be prompted with a confirmation and you should click on the stop confirmation button as shown.
You should have successfully executed a graceful shutdown of your experiment. You will notice that instead of having an exception raised in the environment where you ran the experiment, you see
Experiment stopped from the webprinted.
View the addition in the dashboard
You can see the experiment has been marked as stopped on the dashboard.