mindspore.ops.outer

mindspore.ops.outer(input, vec2)[source]

Return outer product of input and vec2. If input is a vector of size \(n\) and vec2 is a vector of size \(m\) , then output must be a matrix of shape \((n, m)\) .

Note

This function does not broadcast.

Parameters

input (Tensor) – 1-D input vector.
vec2 (Tensor) – 1-D input vector.

Returns

out (Tensor, optional), 2-D matrix, the outer product of two vectors.

Raises

TypeError – If input or vec2 is not a Tensor.

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor
>>> from mindspore import ops
>>> input = Tensor(np.array([7, 8, 9]), mindspore.int32)
>>> vec2 = Tensor(np.array([7, 10, 11]), mindspore.int32)
>>> out = ops.outer(input, vec2)
>>> print(out)
[[49 70 77]
 [56 80 88]
 [63 90 99]]