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https://issues.apache.org/jira/browse/SINGA-80?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15006250#comment-15006250
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ASF subversion and git services commented on SINGA-80:
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Commit 32e09219129a1dba359ed02760754e1c63e1480f in incubator-singa's branch
refs/heads/master from [~flytosky]
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=32e0921 ]
SINGA-80 New Blob Level and Address Level Math Operation Interface
Move cpu_asum from Blob class outside to Asum(const Blob<Dtype>&).
Asum and Scale are implemented using cblas_sasum and cblas_sscale, i.e., only
consider the float type.
> New Blob Level and Address Level Math Operation Interface
> ---------------------------------------------------------
>
> Key: SINGA-80
> URL: https://issues.apache.org/jira/browse/SINGA-80
> Project: Singa
> Issue Type: Improvement
> Reporter: Jinyang Gao
> Assignee: Jinyang Gao
> Original Estimate: 672h
> Remaining Estimate: 672h
>
> We are going to provide a new two level math interface to replace the current
> mshadow. The higher blob level interface is going to be used by layer level.
> It is xpu transparent, and will support general matrix, element-wise,
> reduce/expand, pack/unpack operations and etc. in blob level. There is no
> further need to transfer the blob object into tensor object before math
> operation. The lower address level interface is going to support efficient
> cpu/gpu computing task on simple data array.
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