You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I am currently using SageMaker version 2.190 and have encountered an issue in my workflow. I am running a step function that involves three steps: prep, inference (using the sklearn estimator), and post-processing. The prep and inference jobs collectively return 1 million rows. However, when I run the post-processing job, which involves combining identifiers created during the prep phase with the inference results, it unexpectedly yields 2 million rows.
I have already debugged my code step by step when running it in SageMaker Studio, and it consistently returns 10 rows. Despite this, the post-processing job appears to generate twice as many rows. I'm curious if anyone else has come across a similar issue. Any insights or suggestions would be greatly appreciated.
reacted with thumbs up emoji reacted with thumbs down emoji reacted with laugh emoji reacted with hooray emoji reacted with confused emoji reacted with heart emoji reacted with rocket emoji reacted with eyes emoji
Uh oh!
There was an error while loading. Please reload this page.
-
I am currently using SageMaker version 2.190 and have encountered an issue in my workflow. I am running a step function that involves three steps: prep, inference (using the sklearn estimator), and post-processing. The prep and inference jobs collectively return 1 million rows. However, when I run the post-processing job, which involves combining identifiers created during the prep phase with the inference results, it unexpectedly yields 2 million rows.
I have already debugged my code step by step when running it in SageMaker Studio, and it consistently returns 10 rows. Despite this, the post-processing job appears to generate twice as many rows. I'm curious if anyone else has come across a similar issue. Any insights or suggestions would be greatly appreciated.
Beta Was this translation helpful? Give feedback.
All reactions