joddiy commented on issue #700:
URL: https://github.com/apache/singa/issues/700#issuecomment-631913642


   Hi, guys, @Shashankwer , @Alvinnyk , thanks for your help. 
   
   Before you start, please check this Jira, 
https://issues.apache.org/jira/projects/SINGA/issues/SINGA-509?filter=allopenissues
   
   It lists the models which require support and for some of the models, SINGA 
may lack the necessary operators now. 
   
   So I hope you:
   
   1. check the Jira carefully, to see which model we can do now(I guess is: 
super_resolution, ResNet101_DUC_HDC, ShuffleNet_V2, ShuffleNet_V1, 
inception_v2, squeezenet).
   2. find these models in ONNX model zoo, download them and open them by a 
tool called [`Netron`](https://github.com/lutzroeder/netron), try to understand 
the model and check each part refer the [IR 
doc](https://github.com/onnx/onnx/blob/master/docs/IR.md) of ONNX.
   3. try to read the code of `SingaRep` and `SingaBackend` in 
`python/singa/soonx.py` to understand how we parse and construct the SINGA 
model.
   4. try to read the code `examples/onnx`, to make out how we load and do the 
inference for a ONNX model.
   5. then you can try to support a model(in first point) by yourself.


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