code: def test_training_and_inference_differences_dynamic(self):
      qlinear = QuantizedLinear(10, 5, bias=False)
      x = torch.randn(3, 10) * 2 + 0.1
      y = qlinear(x)
      qlinear.eval()
      y_hat = qlinear(x)
      self.assertTrue((y - y_hat).norm() < 1e-6)
  
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 9 for calling the QuantizedLinearTest obj's underlying member method code with example usage: obj.test_training_and_inference_differences_dynamic() without return types