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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: rK)rverifyr}rrrsrts r1rrs&2$**73G ug :6 ::r3c F[RU5n[SX40UD6$)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: rW)rrr}rs r1rrs&6$**73G ug :6 ::r3)$ functoolsrtypingrrr7torch.nnr& torch.nn.initrdtransforms._presetsrutilsr_apir r r _metar _utilsrr__all__Modulerrrpboolr}rrrrrrrr3r1rsl 5'66'B m 299 $=#=#@  k "   $'P k K*K*,0E0S0S!TU26;./;BF;Y\;;V;6,0E0S0S!TU26;./;BF;Y\;;V;r3