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https://issues.apache.org/jira/browse/SINGA-80?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14946133#comment-14946133
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wangwei commented on SINGA-80:
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I think we can separate this feature into a couple of steps,
1. update Blob class, e.g., adding transpose_ field, replacing type of shape_
from vector<int> to int s[4] + int dim_, anything else?
2. implement float-level math functions
3. implement Blob-level functions
you can use this ticket as a milestone ticket, and create multiple sub-tickets
and add links to them. The code would be easier to merge in this way.
(In JIRA, the text "SINGA-80" will be automatically converted into a link.)
> 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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