code: def __init__(self, a=0, b=0, double_output=False):
      super().__init__()
      self.a = torch.nn.Parameter(torch.tensor([2, 3]).float())
      self.b = torch.nn.Parameter(torch.tensor([2, 3]).float())
      self.first_batch = True
  
file_path: accelerate/src/accelerate/test_utils/training.py
imports: import numpy
  import torch
  from torch.utils.data import DataLoader
  from accelerate.utils.dataclasses import DistributedType
label_desc: Use image node_id 1 to create a new RegressionModel4XPU object from inherited base classes: torch.nn with example: obj = RegressionModel4XPU(a, b, double_output)