`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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