Adding TensorBoard logging for inference metrics #283
Merged
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
entrpn
requested changes
Nov 17, 2025
entrpn
approved these changes
Nov 18, 2025
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
TensorBoard logging for inference metrics
This change introduces TensorBoard scalar summaries to track key performance metrics during video generation inference.
Metrics added/logging:
inference/compile_time: Total time for compilationinference/generation_time: Total time for a generation batch.inference/generation_time_per_video: Average time to generate a single video across all devices.inference/generation_time_with_profiler: Total time for a generation batch when the profiler is active.These metrics will be written to the specified
tensorboard_dirto help monitor and analyze inference performance.This change is necessary to support integration with uBench for nightly regression tests which requires these metrics to be logged using TensorBoard