Document feedback

Question document fragment

When a question document fragment contains a formula, it is displayed as a space.

Submission type

issue

It's a little complicated...

I'd like to ask someone.

Please select the submission type

Problem type

Specifications and Common Mistakes

- Specifications and Common Mistakes:

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

- Incorrect links, empty cells, or wrong formats.

- Chinese characters in English context.

- Minor inconsistencies between the UI and descriptions.

- Low writing fluency that does not affect understanding.

- Incorrect version numbers, including software package names and version numbers on the UI.

Usability

- Usability:

- Incorrect or missing key steps.

- Missing main function descriptions, keyword explanation, necessary prerequisites, or precautions.

- Ambiguous descriptions, unclear reference, or contradictory context.

- Unclear logic, such as missing classifications, items, and steps.

Correctness

- Correctness:

- Technical principles, function descriptions, supported platforms, parameter types, or exceptions inconsistent with that of software implementation.

- Incorrect schematic or architecture diagrams.

- Incorrect commands or command parameters.

- Incorrect code.

- Commands inconsistent with the functions.

- Wrong screenshots.

- Sample code running error, or running results inconsistent with the expectation.

Risk Warnings

- Risk Warnings:

- Lack of risk warnings for operations that may damage the system or important data.

Content Compliance

- Content Compliance:

- Contents that may violate applicable laws and regulations or geo-cultural context-sensitive words and expressions.

- Copyright infringement.

Please select the type of question

Problem description

Describe the bug so that we can quickly locate the problem.

Submit

Document feedback

mindspore.ops.cholesky_inverse

mindspore.ops.cholesky_inverse(input_x, upper=False)

Returns the inverse of the positive definite matrix using cholesky matrix factorization.

If upper is False, $U$ is a lower triangular such that the output tensor is

$$inv=(U{U}^T{)}^{-1}$$

If upper is True, $U$ is an upper triangular such that the output tensor is

$$inv=(U^{T}U{)}^{-1}$$

Note

The input must be either an upper triangular matrix or a lower triangular matrix.

Parameters

• input_x (Tensor) – The input tensor with a rank of 2. Supported dtypes: float32, float64.

• upper (bool) – Whether to return a lower or upper triangular matrix. Default: False.

Returns

Tensor, has the same shape and dtype as input_x.

Raises

• TypeError – If input_x is not a Tensor.

• TypeError – If dtype of input_x is not one of: float32, float64.

• ValueError – If the dimension of input_x is not equal to 2.

Supported Platforms:

GPU CPU

Examples

>>> input_x = Tensor(np.array([[2,0,0], [4,1,0], [-1,1,2]]), mindspore.float32)
>>> output = ops.cholesky_inverse(input_x)
>>> print(output)
[[ 5.8125 -2.625   0.625 ]
 [-2.625   1.25   -0.25  ]
 [ 0.625  -0.25    0.25  ]]