class_docstr: Model with only Linear layers, alternating layers with biases,
  wrapped in a Sequential. Used to test pruned Linear-Bias-Linear fusion.
class_docstr_tok: ["Model","with","only","Linear","layers",",","alternating","layers","with","biases",",","wrapped","in","a","Sequential",".","Used","to","test","pruned","Linear-Bias-Linear","fusion","."]
code: def forward(self, x):
      x = self.seq(x)
      return x
  
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 LinearBias obj's underlying member method code with example usage: obj.forward(x) and returns: x