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.BroadcastTo

class mindspore.ops.BroadcastTo(shape)

Broadcasts input tensor to a given shape.

Input shape can be broadcast to target shape if for each dimension pair they are either equal or input is one or the target dimension is -1. In case of -1 in target shape, it will be replaced by the input shape’s value in that dimension.

When input shape is broadcast to target shape, it starts with the trailing dimensions. If there is a -1 in the target shape, the -1 cannot be in a leading, non-existing dimension.

Parameters

shape (tuple) – The target shape to broadcast. Can be fully specified, or have -1 in one position where it will be substituted by the input tensor’s shape in that position, see example.

Inputs:

• input_x (Tensor) - The input tensor. The data type should be one of the following types: float16, float32, int32, int8, uint8. The shape is $(N,\ast )$ where $\ast$ means,any number of additional dimensions.

Outputs:

Tensor, with the given shape and the same data type as input_x.

Raises

• TypeError – If shape is not a tuple.

• ValueError – if the target and input shapes are incompatible, or if a - 1 in the target shape is in an invalid location.

Supported Platforms:

Ascend GPU CPU

Examples

>>> shape = (2, 3)
>>> input_x = Tensor(np.array([1, 2, 3]).astype(np.float32))
>>> broadcast_to = ops.BroadcastTo(shape)
>>> output = broadcast_to(input_x)
>>> print(output)
[[1. 2. 3.]
 [1. 2. 3.]]

>>> shape = (-1, 2)
>>> input_x = Tensor(np.array([[1], [2]]).astype(np.float32))
>>> broadcast_to = ops.BroadcastTo(shape)
>>> output = broadcast_to(input_x)
>>> print(output)
[[1. 1.]
 [2. 2.]]