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Specifications and Common Mistakes

- Specifications and Common Mistakes:

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mindspore.ops.Select

class mindspore.ops.Select

The conditional tensor determines whether the corresponding element in the output must be selected from x (if True) or y (if False) based on the value of each element.

It can be defined as:

$$\begin{array}{r}ou{t}_i=\{\begin{array}{ll}{x}_i,& \text{if }conditio{n}_i\\ y_i,& \text{otherwise}\end{array}\end{array}$$

Inputs:

• condition (Tensor[bool]) - The condition tensor, decides which element is chosen. The shape is $(x_1,x_2,...,x_N,...,x_R)$.

• x (Tensor) - The first tensor to be selected and the shape is $(x_1,x_2,...,x_N,...,x_R)$.

• y (Tensor) - The second tensor to be selected and the shape is $(x_1,x_2,...,x_N,...,x_R)$.

Outputs:

Tensor, has the same shape as condition.

Raises

• TypeError – If x or y is not a Tensor.

• ValueError – If shape of the three inputs are different.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> from mindspore import Tensor, ops
>>> select = ops.Select()
>>> input_cond = Tensor([True, False])
>>> input_x = Tensor([2,3], mindspore.float32)
>>> input_y = Tensor([1,2], mindspore.float32)
>>> output = select(input_cond, input_x, input_y)
>>> print(output)
[2. 2.]