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https://issues.apache.org/jira/browse/SINGA-315?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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wangwei resolved SINGA-315.
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Resolution: Fixed
> Reduce memory footprint by Python generator for parameter gradient
> ------------------------------------------------------------------
>
> Key: SINGA-315
> URL: https://issues.apache.org/jira/browse/SINGA-315
> Project: Singa
> Issue Type: New Feature
> Reporter: wangwei
>
> The parameter gradient tensors are stored in memory until BP is finished.
> This is not necessary as we can update the parameter once its gradient is
> ready. Then we free the gradient tensor.
> In this way, we reduce the memory footprint by avoiding store all gradient
> tensors.
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