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, \(src_1\) and \(src_2\) 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:

\[dst_i = (src\_1_i - src\_2_i)^2\]

Operation attributes

Attribute Name	Descr
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	Argu
0	src_1	Required
1	src_2	Required

Outputs

Index	Argu
0	dst	Required

Supported data types

SquaredDifference operation supports the following data type combinations.

Source1
f32	f32
bf16	bf16
f16	f16