Hello!

I have an LSTM as follows (I will not copy everything for simplicity):

```
class LSTM(nn.Module):
def __init__(self,
bert,
hidden_dim,
output_dim,
n_layers,
bidirectional,
dropout, hidden_init):
super().__init__()
self.rnn = nn.LSTM(embedding_dim,
hidden_dim,
num_layers = n_layers,
bidirectional = bidirectional,
batch_first = True,
dropout = dropout ...., )
(..)
self.initial_hidden = self.init_hidden(self.batch_size)
def forward(self, text):
(..)
# initialize the hidden and cell state randomly
hidden = self.init_hidden(self.batch_size)
_, hidden = self.rnn(embedded, hidden)
return output
def init_hidden(self, batch_size):
h_0 = nn.Parameter(torch.randn(self.n_layers*2, batch_size, self.hidden_dim))
c_0 = nn.Parameter(torch.randn(self.n_layers*2, batch_size, self.hidden_dim))
return (h_0, c_0)
```

However if I check the model parameters:

```
for name, param in model.named_parameters():
if param.requires_grad:
print(name)
```

it prints:

```
rnn.weight_ih_l0
rnn.weight_hh_l0
rnn.bias_ih_l0
rnn.bias_hh_l0
rnn.weight_ih_l0_reverse
rnn.weight_hh_l0_reverse
rnn.bias_ih_l0_reverse
rnn.bias_hh_l0_reverse
rnn.weight_ih_l1
rnn.weight_hh_l1
rnn.bias_ih_l1
rnn.bias_hh_l1
rnn.weight_ih_l1_reverse
rnn.weight_hh_l1_reverse
rnn.bias_ih_l1_reverse
rnn.bias_hh_l1_reverse
out.weight
out.bias
```

Why can I not see the parameters `h_0`

and `c_0`

??