def METHOD_NAME(self):
    fake_yaml = "fx_dynamic_yaml.yaml"
    model = torchvision.models.resnet18()
    quantizer = Quantization(fake_yaml)
    quantizer.model = model
    dataset = quantizer.dataset("dummy", (100, 3, 256, 256), label=True)
    quantizer.calib_dataloader = common.DataLoader(dataset)
    quantizer.eval_dataloader = common.DataLoader(dataset)
    q_model = quantizer.fit()
    self.assertTrue(bool(q_model))