torch.permute# torch.permute(input, dims) → Tensor# Returns a view of the original tensor input with its dimensions permuted. Parameters input (Tensor) – the input tensor. dims (tuple of int) – The desired ordering of dimensions Example >>> x = torch.randn(2, 3, 5) >>> x.size() torch.Size([2, 3, 5]) >>> torch.permute(x, (2, 0, 1)).size() torch.Size([5, 2, 3])
torch.permute# torch.permute(input, dims) → Tensor# Returns a view of the original tensor input with its dimensions permuted. Parameters input (Tensor) – the input tensor. dims (tuple of int) – The desired ordering of dimensions Example >>> x = torch.randn(2, 3, 5) >>> x.size() torch.Size([2, 3, 5]) >>> torch.permute(x, (2, 0, 1)).size() torch.Size([5, 2, 3])