I train Autoencoder model, and I want to train only encoder model.

```
class AE(nn.Module):
def __init__(self, indim, zdim):
super(AE, self).__init__()
self.encoder = nn.Sequential(
nn.Linear(indim, zdim),
nn.ReLU(True)
)
self.decoder = nn.Sequential(
nn.Linear(zdim, indim),
nn.ReLU(True)
)
# initialize weights
self.apply(init_weights)
def forward(self, x):
z = self.encoder(x)
x_tilde = self.decoder(z)
return x_tilde
```

in optimizer, I take follows,

```
optimizer = optim.Adam(model.encoder.parameters(), lr=1e-3)
```

but I can’t optimize. Loss function become bigger… How do I only train encoder?