torch.outer# torch.outer(input, vec2, *, out=None) → Tensor# Outer product of input and vec2. If input is a vector of size nnn and vec2 is a vector of size mmm, then out must be a matrix of size (n×m)(n \times m)(n×m). Note This function does not broadcast. Parameters input (Tensor) – 1-D input vector vec2 (Tensor) – 1-D input vector Keyword Arguments out (Tensor, optional) – optional output matrix Example: >>> v1 = torch.arange(1., 5.) >>> v2 = torch.arange(1., 4.) >>> torch.outer(v1, v2) tensor([[ 1., 2., 3.], [ 2., 4., 6.], [ 3., 6., 9.], [ 4., 8., 12.]])
