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Specifications and Common Mistakes

- Specifications and Common Mistakes:

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mindspore.ops.kron

mindspore.ops.kron(input, other)

Compute the Kronecker product of two tensors.

If the shape of input is $(a_0$ input $a_1$ input … input $a_n)$ and the shape of other is $(b_0$ input $b_1$ input … input $b_n)$ , the result will be $(a_0\ast b_0$ input $a_1\ast b_1$ input … input $a_n\ast b_n)$ .

$$(input\otimes other{)}_{k_0,k_1,...k_n}=inpu{t}_{i_0,i_1,...i_n}\ast othe{r}_{j_0,j_1,...j_n},$$

where $k_t=i_t\ast b_t+j_t$ for 0 ≤ t ≤ n.

Note

Supports real-valued and complex-valued inputs.

Parameters

• input (Tensor) – First input tensor.

• other (Tensor) – Second input tensor.

Returns

Tensor

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> input = mindspore.tensor([[0., 1., 2.], [3., 4., 5.]])
>>> other = mindspore.tensor([[-1., -2., -3.], [-4., -6., -8.]])
>>> output = mindspore.ops.kron(input, other)
>>> print(output)
[[  0.   0.   0.  -1.  -2.  -3.  -2.  -4.  -6.]
 [  0.   0.   0.  -4.  -6.  -8.  -8. -12. -16.]
 [ -3.  -6.  -9.  -4.  -8. -12.  -5. -10. -15.]
 [-12. -18. -24. -16. -24. -32. -20. -30. -40.]]