(pretrained: bool=False, **kwargs: Any)
return model
r"""AlexNet model architecture from the
    `"One weird trick..." <https://arxiv.org/abs/1404.5997>`_ paper.
    The required minimum input size of the model is 63x63.

    Args:
        pretrained (str): Pre-trained parameters of the model on ImageNet
r"""AlexNet model architecture from the
    `"One weird trick..." <https://arxiv.org/abs/1404.5997>`_ paper.
    The required minimum input size of the model is 63x63.
r AlexNet model architecture from the One weird trick ... <https : // arxiv . org / abs / 1404 . 5997 > _ paper . The required minimum input size of the model is 63x63 .
def alexnet(pretrained: bool=False, **kwargs: Any) -> AlexNet:
    r"""AlexNet model architecture from the
    `"One weird trick..." <https://arxiv.org/abs/1404.5997>`_ paper.
    The required minimum input size of the model is 63x63.

    Args:
        pretrained (str): Pre-trained parameters of the model on ImageNet
    """
    model = AlexNet(**kwargs)
    if pretrained:
        load_dygraph_pretrain(model, pretrained)
    return model
def alexnet ( pretrained : bool = False , * * kwargs : Any ) -> AlexNet : model = AlexNet ( * * kwargs ) if pretrained : load_dygraph_pretrain ( model , pretrained ) return model