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)
class_docstr_tok: ["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 __init__(self, input_size, output_size):
      super().__init__()
      self.linear_torch = nn.Linear(input_size, output_size)
  
imports: import torch.nn
  import numpy
label_desc: Use image node_id 1 to create a new linear object from inherited base classes: nn with example: obj = linear(input_size, output_size)