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Optimize text_classifer model memory usage
See original GitHub issueRelated issue: https://github.com/brave/brave-browser/issues/21602
Parsed text classifier model (component id : emgmepnebbddgnkhfmhdhmjifkglkamo) takes ~24mb of memory in Ads Service process.
It’s looks excessive and we should find a way to make it smaller. Another problem is that peak usage on start is more than 200mb.
Here is the code that produce 24mb memory allocation: https://github.com/brave/brave-core/blob/master/vendor/bat-native-ads/src/bat/ads/internal/ml/pipeline/text_processing/text_processing.cc#L63
Issue Analytics
- State:
- Created a year ago
- Comments:8 (4 by maintainers)
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Makes sense, thanks for the clarification @atuchin-m 👍🏻
@LaurenWags @LaurenWags @btlechowski Big thanks for verification!
Just want to clarify one thing:
Memory footprinton Linux/Mac is counted in a different way that on Windows. That’s why it’s ok that absolute numbers are not match across OSes, so please don’t be confused by this.