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https://issues.apache.org/jira/browse/BEAM-14362?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andy Ye updated BEAM-14362:
---------------------------
    Description: 
RunInference currently returns both the example/input and prediction. 
{code:java}
PredictionResult:
  example: torch(...)
  inference: torch(...)
{code}
Users may want the ability to only return the inference to minimize potential 
memory/serialization issues later in the pipeline. They can do this with a 
flag, and the return value may look like
{code:java}
PredictionResult:
  example: None
  inference: torch(...)
{code}
 

  was:
RunInference currently returns both the example/input and prediction. 
{code:java}
PredictionResult:
  example: torch(...)
  inference: torch(...)
{code}
Users may want the ability to only return the inference to minimize potential 
memory/serialization issues later in the pipeline. They can do this with a 
flag, and the return value may look like

 
{code:java}
PredictionResult:
  example: None
  inference: torch(...)
{code}
 


> Add flag to drop example from PredicitonResult
> ----------------------------------------------
>
>                 Key: BEAM-14362
>                 URL: https://issues.apache.org/jira/browse/BEAM-14362
>             Project: Beam
>          Issue Type: Sub-task
>          Components: sdk-py-core
>            Reporter: Andy Ye
>            Priority: P2
>              Labels: run-inference
>
> RunInference currently returns both the example/input and prediction. 
> {code:java}
> PredictionResult:
>   example: torch(...)
>   inference: torch(...)
> {code}
> Users may want the ability to only return the inference to minimize potential 
> memory/serialization issues later in the pipeline. They can do this with a 
> flag, and the return value may look like
> {code:java}
> PredictionResult:
>   example: None
>   inference: torch(...)
> {code}
>  



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