The declarative config is mainly used for using SINGA C++ APIs. For Python APIs, it is more convenient to use the python layer APIs.
On Sat, Oct 21, 2017 at 5:41 AM, Cliff Berg (JIRA) <j...@apache.org> wrote: > > [ https://issues.apache.org/jira/browse/SINGA-333?page= > com.atlassian.jira.plugin.system.issuetabpanels:comment- > tabpanel&focusedCommentId=16213282#comment-16213282 ] > > Cliff Berg commented on SINGA-333: > ---------------------------------- > > Related to that, it appears that the declarative config that is used in > the Singa documentation (e.g., the layer definitions) do not appear in any > of the examples. Is this because the declarative approach has been shelved, > in favor of an API approach? > > > > Add support for Open Neural Network Exchange (ONNX) format > > ---------------------------------------------------------- > > > > Key: SINGA-333 > > URL: https://issues.apache.org/jira/browse/SINGA-333 > > Project: Singa > > Issue Type: New Feature > > Reporter: Moaz Reyad > > > > The [Open Neural Network Exchange (ONNX)|https://onnx.ai/] is a format > for interchanging neural network models between AI systems. > > The ONNX code is available here: > > https://github.com/onnx/onnx > > It can be a useful feature for SINGA to support this format. However, > ONNX is graph based and some extra work will be required to convert SINGA > models to this format. May be some core parts of SINGA must to be upgraded > first. > > This issue is open for studying and discussing the proposed feature of > supporting ONNX. > > > > -- > This message was sent by Atlassian JIRA > (v6.4.14#64029) >
