SquaredDifference

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	Description	Value Type	Supported Values	Required or Optional
auto_broadcast	Specifies rules used for auto-broadcasting of src tensors	string	none, numpy, (default)	Optional

Execution Arguments

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

Inputs

Index	Argument Name	Required or Optional
0	src_1	Required
1	src_2	Required

Outputs

Index	Argument Name	Required or Optional
0	dst	Required

Supported Data Types

SquaredDifference operation supports the following data type combinations.

Src_1	Src_2	Dst
f32	f32	f32
bf16	bf16	bf16
f16	f16	f16