Cannot input a tensor of dimension other than 0 as a scalar argument

错误代码：

channels_per_group = num_channels // groups

 @torch.jit.script_methoddef channel_shuffle(self, x, groups):batchsize, num_channels, height, width = x.size()# assert (num_channels % groups == 0)channels_per_group = num_channels // groups# reshapex = x.view(batchsize, groups, channels_per_group, height, width)# transpose# - contiguous() required if transpose() is used before view().#   See https://github.com/pytorch/pytorch/issues/764x = torch.transpose(x, 1, 2).contiguous()# flattenx = x.view(batchsize, -1, height, width)return x

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