code: def __init__(self):
      self.a, self.b = nn.Parameter(torch.randn(1)), nn.Parameter(
          torch.randn(1)
      )
  
imports: from __future__ import annotations
  from .imports import *
  from .data.all import *
  from .optimizer import *
  from .learner import *
  from .callback.core import *
  from torch.utils.data import TensorDataset
  from torch.utils.data import TensorDataset
label_desc: Use image node_id 1 to create a new RegModel object from inherited base classes: Module with example: obj = RegModel()