Log to multiple runs in one script

Logging to multiple runs in one script
You can freely create multiple runs in the single script and log to them separately. A general recipe is very straightforward, as you simply create multiple run objects.
Create three runs and log metric to each separately:
import neptune.new as neptune
​
# Start 1st run
my_run1 = neptune.init(project='common/showroom',
                       name='logging-to-multipe-runs',
                       tags=['do-not-remove', 'multiple'])
my_run1['params'] = {'lr': 0.007}
​
# Start 2nd run
my_run2 = neptune.init(project='common/showroom',
                       name='logging-to-multipe-runs',
                       tags=['do-not-remove', 'multiple'])
my_run2['params'] = {'lr': 0.0034}
​
# Start 3rd run
my_run3 = neptune.init(project='common/showroom',
                       name='logging-to-multipe-runs',
                       tags=['do-not-remove', 'multiple'])
my_run3['params'] = {'lr': 0.005}
​
​
# Log metric to my_run1
for j in range(1, 101):
    my_run1['train/loss'].log(0.7/j**0.5)
​
# Log metric to my_run2
for j in range(1, 101):
    my_run2['train/loss'].log(0.8/j**0.5)
​
# Log metric to my_run3
for j in range(1, 101):
    my_run3['train/loss'].log(0.9/j**0.5)
​
# Stop tracking (only for notebooks)
my_run1.stop()
my_run2.stop()
my_run3.stop()
We log loss, by using the my_run1, my_run2 and my_run3. In this way, you can log to many runs from the same Python script.
​See example in Neptune​

Pass Run object between files

Distributed computing

Last updated 1 month ago

Log to multiple runs in one script

Logging to multiple runs in one script

​See example in Neptune​

See example in Neptune