Intel® oneAPI Deep Neural Network Developer Guide and Reference
A newer version of this document is available. Customers should click here to go to the newest version.
InterpolateBackward
General
InterpolateBackward computes the gradients of Interpolate operation.
Operation attributes
Attribute Name  |  
        Description  |  
        Value Type  |  
        Supported Values  |  
        Required or Optional  |  
       
|---|---|---|---|---|
Specifies type of interpolation  |  
        string.  |  
        nearest , linear , bilinear , trilinear  |  
        Required  |  
       |
Specifies how to transform the coordinate in the resized tensor to the coordinate in the original tensor  |  
        string.  |  
        half_pixel (default), align_corners  |  
        Optional  |  
       |
Specifies dst shape for spatial axes.  |  
        s64  |  
        A s64 list containing positive values, none is default  |  
        Optional  |  
       |
Specifies scales for spatial axes.  |  
        f32  |  
        A f32 list, none is default  |  
        Optional  |  
       |
Controls how to interpret the shape of src and dst .  |  
        string  |  
        NCX , NXC (default) -  |  
        Optional  |  
       
Here scale[x] is dst_shape[x]/src_shape[x] and x_resized is a coordinate in axis x,for any axis x from the src axis.
For half_pixel : the coordinate in the original tensor axis x is calculated as ((x_resized + 0.5) / scale[x]) - 0.5.
For align_corners : the coordinate in the original tensor axis x is calculated as 0 if dst_shape[x] == 1 else x_resized * (src_shape[x] - 1) / (dst_shape[x] - 1).
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  |  
        Required  |  
       
1  |  
        diff_dst  |  
        Required  |  
       
2  |  
        sizes  |  
        Optional  |  
       
diff_dst is the gradient tensor with respect to the dst.
sizes is a 1D tensor describing output shape for spatial axes.
Outputs
Index  |  
        Argument Name  |  
        Required or Optional  |  
       
|---|---|---|
0  |  
        diff_src  |  
        Required  |  
       
Supported data types
InterpolateBackward operation supports the following data type combinations.
Src  |  
        Diff_dst  |  
        Diff_src  |  
        Sizes  |  
       
|---|---|---|---|
f32  |  
        f32  |  
        f32  |  
        s32  |  
       
bf16  |  
        bf16  |  
        bf16  |  
        s32  |  
       
f16  |  
        f16  |  
        f16  |  
        s32  |