From c27cc123f3c3d38458117db9e978862a38636087 Mon Sep 17 00:00:00 2001 From: dinglinhe Date: Thu, 8 Apr 2021 16:15:07 +0800 Subject: [PATCH] update document of Select --- mindspore/ops/operations/math_ops.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/mindspore/ops/operations/math_ops.py b/mindspore/ops/operations/math_ops.py index 4a4f2e16004..d51d8d61cdd 100644 --- a/mindspore/ops/operations/math_ops.py +++ b/mindspore/ops/operations/math_ops.py @@ -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.