Interpolate¶
General¶
Interpolate layer performs interpolation on \(\src\) tensor at spatial dimensions.
Operation attributes¶
Attribute Name |
Description |
Value Type |
Supported Values |
Required or Optional |
---|---|---|---|---|
Specifies type of interpolation. |
string |
|
Required |
|
Specifies how to transform the coordinate in the resized tensor to the coordinate in the original tensor. |
string |
|
Optional |
|
Specifies dst shape for spatial axes. |
s64 |
A s64 list containing positive values, |
Optional |
|
Specifies |
f32 |
A f32 list, |
Optional |
|
Controls how to interpret the shape of |
string |
|
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.
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 |
|
Required |
1 |
|
Optional |
Note
sizes
is a 1D tensor describing output shape for spatial axes. It is a non-differentiable tensor.
Outputs¶
Index |
Argument Name |
Required or Optional |
---|---|---|
0 |
|
Required |
Note
The shape of the dst matches src shape except spatial dimensions. For spatial dimensions, they should match sizes from sizes or calculated from scales
attribute.
Supported data types¶
Interpolate operation supports the following data type combinations.
Src |
Dst |
Sizes |
---|---|---|
f32 |
f32 |
s32 |
bf16 |
bf16 |
s32 |
f16 |
f16 |
s32 |