docstr: Just like any class in Python, you can also define custom method on PyTorch modules
docstr_tok: ["Just","like","any","class","in","Python",",","you","can","also","define","custom","method","on","PyTorch","modules"]
code: def string(self):
      """
      Just like any class in Python, you can also define custom method on PyTorch modules
      """
      return f"y = {self.a.item()} + {self.b.item()} x + {self.c.item()} x^2 + {self.d.item()} x^3 + {self.e.item()} x^4 ? + {self.e.item()} x^5 ?"
  
file_path: BigDL/ppml/trusted-python-toolkit/examples/pytorch_test.py
imports: import random
  import torch
  import math
label_desc: Use image node_id 3 for calling the DynamicNet obj's underlying member method code with example usage: obj.string() and returns: str, self, str, self, str, self, str, self, str, self, str, self, str