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!14786 update document of Select 

From: @dinglinhe123
Reviewed-by: @liangchenghui,@wuxuejian
Signed-off-by: @liangchenghui
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mindspore-ci-bot 2021-04-08 17:20:30 +08:00 committed by Gitee
parent 9fcdab0955 c27cc123f3
commit d4fece49d5
1 changed files with 2 additions and 2 deletions
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mindspore/ops/operations/math_ops.py
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@ -2238,7 +2238,7 @@ class DivNoNan(_MathBinaryOp):
class MulNoNan(_MathBinaryOp):
r"""
Computes x * y element-wise. if y is zero, No matter what x is, it will return 0.
Computes `input_x` * `input_y` element-wise. if `input_y` is zero, No matter what `input_x` is, it will return 0.
Inputs of `input_x` and `input_y` comply with the implicit type conversion rules to make the data types consistent.
The inputs must be two tensors or one tensor and one scalar.
@ -2246,7 +2246,7 @@ class MulNoNan(_MathBinaryOp):
When the inputs are one tensor and one scalar, the scalar could only be a constant.
Note:
The shapes of x and y should be same or can be broadcasted.
The shapes of `input_x` and `input_y` should be same or can be broadcasted.
Inputs:
- **input_x** (Union[Tensor]) - The first input is a tensor whose data type is number or scalar.