class_docstr: Test class to check the initialization of adapters.
class_docstr_tok: ["Test","class","to","check","the","initialization","of","adapters","."]
code: def get_model(self):
      class MyModule(nn.Module):
          def __init__(self):
              super().__init__()
              # choose a large weight so that averages are close to expected values
              self.linear = nn.Linear(1000, 1000)
              self.embed = nn.Embedding(1000, 1000)
              self.conv2d = nn.Conv2d(100, 100, 3)
  
          def forward(self, x):
              return self.linear(x)
  
      return MyModule().eval().to(self.torch_device)
  
imports: import unittest
  import torch
  from scipy import stats
  from torch import nn
  from peft import LoraConfig, get_peft_model
  from peft.utils import infer_device
label_desc: Use image node_id 3 for calling the InitializationTest obj's underlying member method code with example usage: obj.get_model() and returns: MyModule, self