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Args: weights (:class:`~torchvision.models.SqueezeNet1_0_Weights`, optional): The pretrained weights to use. See :class:`~torchvision.models.SqueezeNet1_0_Weights` below for more details, and possible values. By default, no pre-trained weights are used. progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True. **kwargs: parameters passed to the ``torchvision.models.squeezenet.SqueezeNet`` base class. Please refer to the `source code `_ for more details about this class. .. autoclass:: torchvision.models.SqueezeNet1_0_Weights :members: rT)rverifyrrsrtrus$$,r squeezenet1_0rs&2$**73G ug :6 ::r c^V^8dQhR\\,R\R\R\/#r)rrrvrr)rs"rrrs2;;./;BF;Y\;;r c F\PV4p\RW3/VB#)aSqueezeNet 1.1 model from the `official SqueezeNet repo `_. SqueezeNet 1.1 has 2.4x less computation and slightly fewer parameters than SqueezeNet 1.0, without sacrificing accuracy. Args: weights (:class:`~torchvision.models.SqueezeNet1_1_Weights`, optional): The pretrained weights to use. See :class:`~torchvision.models.SqueezeNet1_1_Weights` below for more details, and possible values. By default, no pre-trained weights are used. progress (bool, optional): If True, displays a progress bar of the download to stderr. Default is True. **kwargs: parameters passed to the ``torchvision.models.squeezenet.SqueezeNet`` base class. Please refer to the `source code `_ for more details about this class. .. autoclass:: torchvision.models.SqueezeNet1_1_Weights :members: rX)rrrrs$$,r squeezenet1_1rs&6$**73G ug :6 ::r )rrrrr)" functoolsrtypingrrr:torch.nnr* torch.nn.initretransforms._presetsrutilsr_apirr r _metar _utilsr r __all__Modulerrrrrrrrrrr rrs  5'66'B m 299 $=#=#@$& P k K*K*,0E0S0S!TU;26;IM;V;6,0E0S0S!TU;26;IM;V;r