def METHOD_NAME(self):
    model = torchvision.models.detection.ssd300_vgg16(weights=None, weights_backbone=None, num_classes=2)
    images, targets = self._make_empty_sample()
    loss_dict = model(images, targets)
    assert_equal(loss_dict["bbox_regression"], torch.tensor(0.0))