Intel® oneAPI Deep Neural Network Developer Guide and Reference
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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 |