class_docstr: This is an nn.Module implementation to op.linear.
  The difference between this implementation and
  torch.nn.linear is that this implementation take input
  shape (batch_size, *) and output shape is (batch_size, output_size)
code: def forward(self, x):
      x = x.view(-1, np.prod(x.shape[1:]))
      x = self.linear_torch(x)
      return x
  
imports: import torch.nn
  import numpy
label_desc: Use image node_id 2 for calling the linear obj's underlying member method code with example usage: obj.forward(x) and returns: x