# tensorplay.functional.outer

Source: https://www.tensorplay.cn/docs/generated/tensorplay.functional.outer.html

```python
tensorplay.functional.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](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor)) – 1-D input vector

- vec2 ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor)) – 1-D input vector

Keyword Arguments:

out ([Tensor](/docs/generated/tensorplay.Tensor.html#tensorplay.Tensor), optional) – optional output matrix

Example:

```
>>> v1 = tensorplay.arange(1., 5.)
>>> v2 = tensorplay.arange(1., 4.)
>>> tensorplay.outer(v1, v2)
tensor([[  1.,   2.,   3.],
        [  2.,   4.,   6.],
        [  3.,   6.,   9.],
        [  4.,   8.,  12.]])
```