InterpolateBackward

InterpolateBackward computes the gradients of Interpolate operation.

Operation Attributes

Attribute Name	Description	Value Type	Supported Values	Required or Optional
mode	Specifies type of in terpolation	string	nearest, linear, bilinear, trilinear	Required
coordinate_transformation_mode	Specifies how to transform the coordinate in the resized tensor to the coordinate in the original tensor	string	half_pixel (default), align_corners	Optional
sizes	Specifies dst shape for spatial axes.	s64	A s64 list containing positive values, none is default	Optional
scales	Specifies scales for spatial axes.	f32	A f32 list, none is default	Optional
data_format	Controls how to interpret the shape of src and dst	string	NCX, NXC (default)	Optional

@note Either sizes or scales should be provided. When sizes is used, scales will be ignored.

@note The attribute coordinate_transformation_mode is the name of transformation mode in string format.n 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.n For half_pixel: the coordinate in the original tensor axis x is calculated as ((x_resized + 0.5) / scale[x]) - 0.5.n 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).n

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	Required
1	diff_dst	Required
2	sizes	Optional

@note src is original input tensor of Interpolate op.n diff_dst is the gradient tensor with respect to the dst.n sizes is a 1D tensor describing output shape for spatial axes.

Outputs

Index	Argument Name	Required or Optional
0	diff_src	Required

@note diff_src is the gradient tensor with respect to the src of Interpolate.

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