-
Notifications
You must be signed in to change notification settings - Fork 0
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Remove IterDataPipe from Inference pipeline #96
base: divya/load-backbone-weights
Are you sure you want to change the base?
Remove IterDataPipe from Inference pipeline #96
Conversation
Important Review skippedAuto reviews are disabled on base/target branches other than the default branch. Please check the settings in the CodeRabbit UI or the You can disable this status message by setting the Thank you for using CodeRabbit. We offer it for free to the OSS community and would appreciate your support in helping us grow. If you find it useful, would you consider giving us a shout-out on your favorite social media? 🪧 TipsChatThere are 3 ways to chat with CodeRabbit:
Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments. CodeRabbit Commands (Invoked using PR comments)
Other keywords and placeholders
CodeRabbit Configuration File (
|
Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## divya/load-backbone-weights #96 +/- ##
===============================================================
- Coverage 97.50% 97.44% -0.06%
===============================================================
Files 37 37
Lines 3520 3562 +42
===============================================================
+ Hits 3432 3471 +39
- Misses 88 91 +3 ☔ View full report in Codecov by Sentry. |
This PR removes the Iterdatapipe dependency from the inference pipeline. Currently, we use IterDatapipe modules for creating the data pipeline from labels while running inference on
.slp
files. Since we're moving to Litdata (Related issue: #80), we're removing the IterDatapipe modules and implementing athread-based
approach, similar to our currentVideoReader
(Related issue: #26).