How to define Forward method in network?

I am trying to build an RNN that trains on YouTube comments. I am learning as I progress, I am struggling to correctly define the forward pass for my network. I have previously done a CNN but this current network is different and it is causing me confusion, I would appreciate any help!

Here is the network:

class EncoderCNN(nn.Module):
def init(self, embed_size):

    super(EncoderCNN, self).__init__()
    resnet = models.resnet152(pretrained=True) 
    layers = list(resnet.children())[:-1]      
    self.resnet = nn.Sequential(*layers)
    self.linear = nn.Linear(resnet.fc.in_features, embed_size)
  = nn.BatchNorm1d(embed_size, momentum=0.01)
    def forward(self, images):

    features = self.linear(features)
    return features

What causes your confusion and where are you stuck?
Based on the code snippet it looks like you are trying to build a CNN again while you mentioned that you would like to create an RNN?