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https://issues.apache.org/jira/browse/CARBONDATA-3695?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ajantha Bhat resolved CARBONDATA-3695.
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Fix Version/s: 2.0.0
Resolution: Fixed
> Apache CarbonData should provides python interface to support deep learning
> framework PyTorch to ready and write data from/to CarbonData
> ----------------------------------------------------------------------------------------------------------------------------------------
>
> Key: CARBONDATA-3695
> URL: https://issues.apache.org/jira/browse/CARBONDATA-3695
> Project: CarbonData
> Issue Type: Sub-task
> Reporter: Bo Xu
> Assignee: Bo Xu
> Priority: Major
> Fix For: 2.0.0
>
> Time Spent: 3h 10m
> Remaining Estimate: 0h
>
> Nowadays AI model training is getting more and more popular. Currently many
> AI framework uses raw data files or row format data files for model training,
> it could not provide projection, filtering, and fast scan capability like in
> columnar store. So, if CarbonData supports AI framework, it can speed up
> model training by increase IO throughput, and provide more flexible training
> set selection ability to AI developers
> AI compute engine integration:
> PyTorch integration: New python API in pycarbon to support PyTorch to read
> data from CarbonData files for training model
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