code: def test_quantization_turned_off(self):
      qembedding = QuantizedEmbedding(10, 3, mode="none")
      embedding = nn.Embedding(10, 3)
      embedding.weight.data = qembedding.weight
      indices = torch.tensor(np.arange(10))
      self.assertTrue((embedding(indices) == qembedding(indices)).all())
      self.assertTrue((embedding(indices) == qembedding(indices)).all())
  
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 5 for calling the QuantizedEmbeddingTest obj's underlying member method code with example usage: obj.test_quantization_turned_off() without return types