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Specifications and Common Mistakes

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mindspore.ops.select

mindspore.ops.select(condition, input, other)

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

It can be defined as:

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

Parameters

• condition (Tensor[bool]) – The condition tensor.

• input (Union[Tensor, int, float]) – The first tensor or number to be selected.

• other (Union[Tensor, int, float]) – The second tensor or number to be selected.

Returns

Tensor

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> # case1: Both `input` and `other` are tensor
>>> cond = mindspore.tensor([True, False])
>>> x = mindspore.tensor([2,3], mindspore.float32)
>>> y = mindspore.tensor([1,2], mindspore.float32)
>>> output1 = mindspore.ops.select(cond, x, y)
>>> print(output1)
[2. 2.]
>>> # case2: Both `input` and `other` are number
>>> output2 = mindspore.ops.select(cond, input=1, other=2)
>>> print(output2)
[1 2]
>>> # case3: `input` is tensor and `other` is number
>>> output3 = mindspore.ops.select(cond, x, other=3)
>>> print(output3)
[2. 3.]