PyTorch get all layers of model

What's the easiest way to take a pytorch model and get a list of all the layers without any nn.Sequence groupings? For example, a better way to do this?

import pretrainedmodelsdef unwrap_model(model):    for i in children(model):        if isinstance(i, nn.Sequential): unwrap_model(i)        else: l.append(i)model = pretrainedmodels.__dict__['xception'](num_classes=1000, pretrained='imagenet')l = []unwrap_model(model)            print(l)