brainpy.math.unsqueeze#
- brainpy.math.unsqueeze(input, dim)[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. :type input:
Union
[Array
,Array
] :param input: The input Array :type input: Array :type dim:int
:param dim: The index at which to insert the singleton dimension :type dim: int- Returns:
out
- Return type:
Array