(pretrained=False, **kwargs)
return model
VGG 19-layer model (configuration "E")
    Args:
        pretrained (bool): If True, returns a model pre-trained on ImageNet
VGG 19-layer model (configuration "E")
    Args:
        pretrained (bool): If True, returns a model pre-trained on ImageNet
VGG 19 - layer model ( configuration E ) Args : pretrained ( bool ) : If True returns a model pre - trained on ImageNet
def vgg19(pretrained=False, **kwargs):
    """VGG 19-layer model (configuration "E")
    Args:
        pretrained (bool): If True, returns a model pre-trained on ImageNet
    """
    if pretrained:
        kwargs['init_weights'] = False
    model = VGG(make_layers(cfg['E']), **kwargs)
    if pretrained:
        model.load_state_dict(model_zoo.load_url(model_urls['vgg19']))
    return model
def vgg19 ( pretrained = False , * * kwargs ) : if pretrained : kwargs [ 'init_weights' ] = False model = VGG ( make_layers ( cfg [ 'E' ] ) , * * kwargs ) if pretrained : model . load_state_dict ( model_zoo . load_url ( model_urls [ 'vgg19' ] ) ) return model