code: def test_none_quantized_linear(self):
      qlinear = QuantizedLinear(10, 5, mode="NONE")
      linear = nn.Linear(10, 5)
      linear.weight.data = qlinear.weight
      linear.bias.data = qlinear.bias
      x = torch.randn(3, 10)
      y = linear(x)
      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 10 for calling the QuantizedLinearTest obj's underlying member method code with example usage: obj.test_none_quantized_linear() without return types