Intel® oneAPI Deep Neural Network Developer Guide and Reference
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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, 
 and 
 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:
 
   Operation attributes
Attribute Name  |  
        Description  |  
        Value Type  |  
        Supported Values  |  
        Required or Optional  |  
       
|---|---|---|---|---|
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  |