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.MatMul

class mindspore.ops.MatMul(*args, **kwargs)

Multiplies matrix a and matrix b.

The rank of input tensors must equal to 2.

Parameters

• transpose_a (bool) – If true, a is transposed before multiplication. Default: False.

• transpose_b (bool) – If true, b is transposed before multiplication. Default: False.

Inputs:

• x (Tensor) - The first tensor to be multiplied. The shape of the tensor is $(N,C)$. If transpose_a is True, its shape must be $(N,C)$ after transpose.

• y (Tensor) - The second tensor to be multiplied. The shape of the tensor is $(C,M)$. If transpose_b is True, its shape must be $(C,M)$ after transpose.

Outputs:

Tensor, the shape of the output tensor is $(N,M)$.

Raises

• TypeError – If transpose_a or transpose_b is not a bool.

• ValueError – If the column of matrix dimensions of x is not equal to the row of matrix dimensions of y.

• ValueError – If length of shape of x or y is not equal to 2.

Supported Platforms:

Ascend GPU CPU

Examples

>>> x1 = Tensor(np.ones(shape=[1, 3]), mindspore.float32)
>>> x2 = Tensor(np.ones(shape=[3, 4]), mindspore.float32)
>>> matmul = ops.MatMul()
>>> output = matmul(x1, x2)
>>> print(output)
[[3. 3. 3. 3.]]

check_shape_size(x1, x2)

Check the shape size of inputs for MatMul.