code: def __init__(self, input_size, output_size, hidden_size):
      super().__init__()
      self.input_layer = torch.nn.Linear(input_size, hidden_size)
      self.mid_layer = torch.nn.Linear(hidden_size, hidden_size)
      self.output_layer = torch.nn.Linear(hidden_size, output_size)
  
file_path: quanto/test/model/test_quantize_mlp.py
imports: import pytest
  import torch
  from helpers import assert_similar, random_qtensor
  from quanto import Calibration, QLinear, QTensor, freeze, quantize
label_desc: Use image node_id 1 to create a new MLP object from inherited base classes: torch.nn with example: obj = MLP(input_size, output_size, hidden_size)