code: def test_dynamic_quantization():
      model = deepcopy(mock_model)
  
      quantizer = Dynamic_Quantizer(
          model, test_loader, {torch.nn.Linear}
      )
      _ = quantizer.quantize()
      quantizer.get_model_sizes()
      quantizer.get_performance_statistics()
  
file_path: KD_Lib/tests/test_quantization.py
imports: from copy import deepcopy
  import torch
  from torch.utils.data import DataLoader
  from torchvision import models
  from KD_Lib.Quantization import Dynamic_Quantizer, QAT_Quantizer, Static_Quantizer
  from .utils import MockImageClassifier, MockVisionDataset
label_desc: Use image node_id 1 for calling a global function with example usage: test_dynamic_quantization() without return types