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Specifications and Common Mistakes

- Specifications and Common Mistakes:

- Misspellings or punctuation mistakes,incorrect formulas, abnormal display.

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mindspore.ops.outer

mindspore.ops.outer(input, vec2)

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.

• ValueError – If input or vec2 is not an 1-D 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]]