code: def test_restrict_loading_to_train_model(self):
      exporter = QuantizedLinear(10, 5, mode="dynamic")
      exporter.eval()
      exporter.mode_8bit = True
      state_dict = exporter.state_dict()
      importer = QuantizedLinear(10, 5, mode="dynamic")
      with self.assertRaises(RuntimeError):
          importer.load_state_dict(state_dict, strict=False)
  
imports: import unittest
  import numpy
  import torch
  from torch import nn
  from torch.nn import functional
  from nlp_architect.nn.torch.quantization import FakeLinearQuantizationWithSTE, QuantizedLinear, get_dynamic_scale, get_scale, QuantizedEmbedding
label_desc: Use image node_id 16 for calling the QuantizedLinearTest obj's underlying member method code with example usage: obj.test_restrict_loading_to_train_model() without return types