code: def forward(self, inputs):
      x = torch.nn.functional.relu(self.input_layer(inputs))
      x = torch.nn.functional.relu(self.mid_layer(x))
      return torch.nn.functional.softmax(self.output_layer(x), dim=-1)
  
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 2 for calling the MLP obj's underlying member method code with example usage: obj.forward(inputs) and returns: torch