Announcing Rolling Submissions for DAWNBench
Following the successful completion of the DAWNBench v1 competition, we are re-opening DAWNBench to allow rolling submissions. We’re eager to see the community continue to innovate and improve on optimizing for time-to-accuracy in deep learning, so starting today, we will accept new pull requests to dawn-bench-entries. The tasks, thresholds, metrics, and instructions are still the same as DAWNBench v1, but with two changes to the reviewing process:
- We will only review submissions that are in the top 5 results for at least one leaderboard.
- New submissions will be highlighted on the leaderboard to indicate they were made after the v1 deadline.
For a more comprehensive benchmark, please consider submitting to the updated MLPerf benchmark, which continues DAWNBench’s focus on time-to-accuracy for common machine learning workloads.