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# torch.unsqueeze

torch.unsqueeze(input, dim) → Tensor

  Returns a new tensor with a dimension of size one inserted at the specified position.

  The returned tensor shares the same underlying data with this tensor.

  A `dim` value within the range `[-input.dim() - 1, input.dim() + 1)` can be used. Negative `dim` will correspond to `unsqueeze()` applied at `dim` = `dim + input.dim() + 1`.

  Parameters:

    - input (Tensor) – the input tensor.

    - dim (int) – the index at which to insert the singleton dimension

  Example:

      >>> x = torch.tensor([1, 2, 3, 4])
      >>> torch.unsqueeze(x, 0)
      tensor([[ 1,  2,  3,  4]])
      >>> torch.unsqueeze(x, 1)
      tensor([[ 1],
              [ 2],
              [ 3],
              [ 4]])

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