docstr: In the constructor we instantiate five parameters and assign them as members.
docstr_tok: ["In","the","constructor","we","instantiate","five","parameters","and","assign","them","as","members","."]
code: def __init__(self):
      """
      In the constructor we instantiate five parameters and assign them as members.
      """
      super().__init__()
      self.a = torch.nn.Parameter(torch.randn(()))
      self.b = torch.nn.Parameter(torch.randn(()))
      self.c = torch.nn.Parameter(torch.randn(()))
      self.d = torch.nn.Parameter(torch.randn(()))
      self.e = torch.nn.Parameter(torch.randn(()))
  
file_path: BigDL/ppml/trusted-python-toolkit/examples/pytorch_test.py
imports: import random
  import torch
  import math
label_desc: Use image node_id 1 to create a new DynamicNet object from inherited base classes: torch.nn with example: obj = DynamicNet()