code: def get_outputs(model, batch_size, input_features, device):
      qinputs = random_qtensor(
          (batch_size, input_features), dtype=torch.float32
      ).to(device)
      return model(qinputs)
  
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 a global function with example usage: get_outputs(model, batch_size, input_features, device) and returns: model