§ ڈٹtj’مَR—ddlmcmZddlmZddlmZdgZGd„de¦«Z dS)éN)عTensoré)عModuleعChannelShufflecَZ‡—eZdZUdZdgZeed<deddfˆfd„Zdedefd„Z de fd„ZˆxZS) ra'Divides and rearranges the channels in a tensor. This operation divides the channels in a tensor of shape :math:`(N, C, *)` into g groups as :math:`(N, \frac{C}{g}, g, *)` and shuffles them, while retaining the original tensor shape in the final output. Args: groups (int): number of groups to divide channels in. Examples:: >>> channel_shuffle = nn.ChannelShuffle(2) >>> input = torch.arange(1, 17, dtype=torch.float32).view(1, 4, 2, 2) >>> input tensor([[[[ 1., 2.], [ 3., 4.]], [[ 5., 6.], [ 7., 8.]], [[ 9., 10.], [11., 12.]], [[13., 14.], [15., 16.]]]]) >>> output = channel_shuffle(input) >>> output tensor([[[[ 1., 2.], [ 3., 4.]], [[ 9., 10.], [11., 12.]], [[ 5., 6.], [ 7., 8.]], [[13., 14.], [15., 16.]]]]) عgroupsعreturnNcَV•—t¦« ¦«||_dS)N)عsuperع__init__r)عselfrع __class__s €ْ]/var/www/html/CA-Chatbot/venv/lib/python3.11/site-packages/torch/nn/modules/channelshuffle.pyrzChannelShuffle.__init__0s$ّ€ف ‰Œ×زرشذطˆŒˆˆَعinputcَ6—tj||j¦«S)z( Runs the forward pass. )عFعchannel_shuffler)r rs rعforwardzChannelShuffle.forward4s€ُش ¨¬ر4ش4ذ4rcَ—d|j›‌S)z@ Return the extra representation of the module. zgroups=)r)r s rع extra_reprzChannelShuffle.extra_repr:s€ً'کœذ&ذ&ذ&r) ع__name__ع __module__ع__qualname__ع__doc__ع __constants__عintع__annotations__rrrعstrrع __classcell__)rs@rrr s§ّ€€€€€€ً ً ًDگJ€Mط€K€KپKًکsً tًًًًًًً5کVً5¨ً5ً5ً5ً5ً'کCً'ً'ً'ً'ً'ً'ً'ً'r) عtorch.nn.functionalعnnع functionalrعtorchrعmodulerع__all__r©rrْr(s‚ًطذذذذذذذذطذذذذذàذذذذذًذ €ً4'ً4'ً4'ً4'ً4'گVٌ4'ô4'ً4'ً4'ً4'r