tensorplay.functional.unsqueeze

tensorplay.functional.unsqueeze(input, dim) → Tensor[source]

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