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Motivation
Draft PR. Some changes to make life easier for gathering data for training our 3D heuristics.
Does not need to be merged at the moment.
Some small changes to the docker-file. This should probably be moved somewhere else as to not dirty this one.
The main changes are in the way the distributor and workers interact when collecting and running jobs.
We run the distributor and worker on isolated nodes where the only communication happens implicitly through the database.
For that reason the distributors should be a bit less greedy in grabbing all jobs from the database, but only a single batch.
Only when the batch is nearing completion, it will query the database again to fetch a new batch of jobs.
This makes it easier to run multiple nodes in parallel without requiring a single central distributor and direct communication between the nodes.
Technical Details
miopen_lib.y:
extract_job_id_from_context()- A new method to extract job IDs from MIOpen celery task contextsmituna_interface.py
Job Tracking: Added instance variables for tracking claimed and completed jobs:
self.claimed_job_ids = set()self.completed_job_ids = set()self.progress_factor = 0.25(for determining when to grab more jobs, default check after 75% is finished)Polling Optimization:
TUNA_POLL_INTERVAL(default 5 seconds)Job Completion Tracking:
parse_result()to track completed jobsextract_job_id_from_context()that subclasses must implementTest Plan
Test Result
Submission Checklist