code: def __init__(self):
      super().__init__()
      self.linear = nn.Linear(5, 1, bias=False)
      nn.init.ones_(self.linear.weight)
  
file_path: BentoML/tests/integration/frameworks/models/pytorch.py
imports: from __future__ import annotations
  import typing
  import numpy
  import torch
  import torch.nn
  import bentoml
  from .None import FrameworkTestModel
  from .None import FrameworkTestModelConfiguration
  from .None import FrameworkTestModelInput
label_desc: Use image node_id 1 to create a new LinearModel object from inherited base classes: nn with example: obj = LinearModel()