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

s32

bf16

s32

f16

s32