class_docstr: Container module with an LSTM, a LayerNorm, and a linear.
class_docstr_tok: ["Container","module","with","an","LSTM",",","a","LayerNorm",",","and","a","linear","."]
code: def forward(self, x):
      x, state = self.lstm(x)
      x = self.norm(x)
      x = self.linear(x)
      return x, state
  
imports: from torch.ao.pruning import BaseSparsifier
  import torch
  import torch.nn.functional
  from torch import nn
label_desc: Use image node_id 2 for calling the LSTMLayerNormLinearModel obj's underlying member method code with example usage: obj.forward(x) and returns: x,  state