Contents

SquaredDifference

General

SquaredDifference operation performs element-wise subtraction operation with two given tensors applying multi-directional broadcast rules, after that each result of the subtraction is squared.

Before performing arithmetic operation, \(src_0\) and \(src_1\) are broadcasted if their shapes are different and auto_broadcast attributes is not none. Broadcasting is performed according to auto_broadcast value. After broadcasting SquaredDifference does the following with the input tensors:

\[dst_i = (src\_0_i - src\_1_i)^2\]

Operation attributes

Attribute Name

Description

Value Type

Supported Values

Required or Optional

auto_broadcast

Specifies rules used for auto-broadcasting of input tensors.

string

none , numpy (default)

Optional

Execution arguments

The inputs and outputs must be provided according to below index order when constructing an operation.

Inputs

Index

Argument Name

Required or Optional

0

src_0

Required

1

src_1

Required

Outputs

Index

Argument Name

Required or Optional

0

dst

Required

Supported data types

SquaredDifference operation supports the following data type combinations.

Src_0 / Src_1

Dst

f32

f32

bf16

bf16

f16

f16
Square StaticReshape