torch.outer¶

torch.outer(input, vec2, *, out=None) → Tensor¶

Outer product of input and vec2. If input is a vector of size $n$ and vec2 is a vector of size $m$ , then out must be a matrix of size $(n \times m)$ .

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.]])