dcslin edited a comment on issue #691:
URL: https://github.com/apache/singa/issues/691#issuecomment-629634540
From the perspective a new onnx user:
```python
class MySONNXModel(SONNXModel):
pass
m1=MySONNXModel()
m1.compile([placeholder], ...)
for _ in data:
m1.train_one_batch(_)
m1.save_states('./saved_models/my_sonnx_model_onnx_format') # transferable
to other deeplearning framework
singa.save('./saved_models/my_sonnx_model_singa_format') # only valid in
singa
# Later reuse the model
onnx_model = onnx.load('./saved_models/my_sonnx_model_onnx_format')
m2=MyONNXModel(onnx_model)
m2.compile([x], use_graph=True)
# m1 == m2?
# load as singa model
m3=singa.load('./saved_models/my_sonnx_model_singa_format')
m3.compile([x], use_graph=True)
# m1 == to_onnx(m3)?
```
To be frank, I am a bit overwhelmed by all the discussions not just in this
issue, is it possible to consolidate the new API into a specification including
example in singa-doc? Which is useful for new users? btw, is
[onnx-doc](https://github.com/apache/singa-doc/blob/master/docs-site/docs/onnx.md)
gonna change?
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