In one of the unit test(pasting below) infer shape will be false and it need
not be an issue, users are just assuming default type.
```python
model = nn.HybridSequential()
model.add(nn.Dense(128, activation='tanh'))
model.add(nn.Dropout(0.5))
model.add(nn.Dense(64, activation='tanh'),
nn.Dense(32, in_units=64))
model.add(nn.Activation('relu'))
model.initialize()
inputs = mx.sym.var('data')
outputs = model(inputs).get_internals()
smodel = gluon.SymbolBlock(outputs, inputs, params=model.collect_params())
```
[ Full content available at:
https://github.com/apache/incubator-mxnet/pull/12412 ]
This message was relayed via gitbox.apache.org for [email protected]
