code: def test_static_quantization():
      model = models.quantization.resnet18(quantize=False)
      model.fc.out_features = 10
  
      quantizer = Static_Quantizer(model, train_loader, test_loader)
      _ = quantizer.quantize(1)
      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 2 for calling a global function with example usage: test_static_quantization() without return types