[MXNet Forum] [Gluon] How to apply F.softmax to Gluon Parameters

[Antonie Lin via MXNet Forum <mx...@discoursemail.com.INVALID>]

`hybrid_forward` passes the parameters as part of the function arguments, so you would access them by defining them or using `kwargs`.  Then we can use them as usual for both hybridized and non-hybridized versions.

```
class ElmoEmbedding(gluon.HybridBlock):
    def __init__(self):
        ...
    def hybrid_forward(self, F, x, *args, **kwargs):
        weights = kwargs['weights']
        scales = kwargs['scales']
        normalized_weights = F.softmax(weights)
        ...     
```





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