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wangwei commented on SINGA-333: ------------------------------- If you use C++, the config proto objects can be created by reading the config file like Caffe or be created using the protobuf APIs (not widely used, https://github.com/apache/incubator-singa/blob/master/examples/cifar10/alexnet.cc#L37) If you use Python, it is more convenient to use the python layer APIs directly. Generally, Python API is easier than writing the protobuf config file especially for a large/deep network. > 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)