code: def __init__(self, unique):
      super(MyModel, self).__init__()
      self.weight0 = Parameter(
          unique + torch.arange(2, device="cuda", dtype=torch.float32)
      )
      self.weight1 = Parameter(
          1.0
          + unique
          + torch.arange(2, device="cuda", dtype=torch.float16)
      )
  
imports: import unittest
  import functools
  import itertools
  from apex import amp
  from apex.amp import _amp_state
  import torch
  from torch import nn
  import torch.nn.functional
  from torch.nn import Parameter
  from utils import common_init, HALF, FLOAT, ALWAYS_HALF, ALWAYS_FLOAT, MATCH_INPUT
label_desc: Use image node_id 1 to create a new MyModel object from inherited base classes: torch.nn with example: obj = MyModel(unique)