(pretrained=False, **kwargs)
return model
Constructs a ResNet-101 model.

    Args:
        pretrained (bool): If True, returns a model pre-trained on Places
Constructs a ResNet-101 model.
Constructs a ResNet - 101 model .
def resnext101(pretrained=False, **kwargs):
    """Constructs a ResNet-101 model.

    Args:
        pretrained (bool): If True, returns a model pre-trained on Places
    """
    model = ResNeXt(GroupBottleneck, [3, 4, 23, 3], **kwargs)
    if pretrained:
        model.load_state_dict(load_url(model_urls['resnext101']), strict=False)
    return model
def resnext101 ( pretrained = False , * * kwargs ) : model = ResNeXt ( GroupBottleneck , [ 3 , 4 , 23 , 3 ] , * * kwargs ) if pretrained : model . load_state_dict ( load_url ( model_urls [ 'resnext101' ] ) , strict = False ) return model