Hello! I want to know how to add nn.Embedding type variables to model’s parameters. My model is defined as below:

```
class Model(nn.Module):
def __init__(self, a, b, hops):
self.W1 = torch.nn.Embedding(a, b)
self.W2 = torch.nn.Embedding(a, b)
self.R_list = []
for i in range(hops):
R_list.append(torch.nn.Embedding(a, b))
```

When I check `model.parameters()`

, only `W1`

and `W2`

. are outputed, which means that `R`

are not in model.paremeters. So I want to know how to add them. Thanks!!

I know `torch.nn.Parameter()`

can put Tensor type in the model’s parameter.