public final class
ResizeBilinear
Resize `images` to `size` using bilinear interpolation.
Input images can be of different types but output images are always float.
Nested Classes
| class | ResizeBilinear.Options | Optional attributes for ResizeBilinear
|
|
Constants
| String | OP_NAME | The name of this op, as known by TensorFlow core engine |
Public Methods
| static ResizeBilinear.Options |
alignCorners(Boolean alignCorners)
|
| Output<TFloat32> |
asOutput()
Returns the symbolic handle of the tensor.
|
| static ResizeBilinear | |
| static ResizeBilinear.Options |
halfPixelCenters(Boolean halfPixelCenters)
|
| Output<TFloat32> |
resizedImages()
4-D with shape
`[batch, new_height, new_width, channels]`.
|
Inherited Methods
Constants
public static final String OP_NAME
The name of this op, as known by TensorFlow core engine
Constant Value:
"ResizeBilinear"
Public Methods
public static ResizeBilinear.Options alignCorners (Boolean alignCorners)
Parameters
| alignCorners | If true, the centers of the 4 corner pixels of the input and output tensors are aligned, preserving the values at the corner pixels. Defaults to false. |
|---|
public Output<TFloat32> asOutput ()
Returns the symbolic handle of the tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static ResizeBilinear create (Scope scope, Operand<? extends TNumber> images, Operand<TInt32> size, Options... options)
Factory method to create a class wrapping a new ResizeBilinear operation.
Parameters
| scope | current scope |
|---|---|
| images | 4-D with shape `[batch, height, width, channels]`. |
| size | = A 1-D int32 Tensor of 2 elements: `new_height, new_width`. The new size for the images. |
| options | carries optional attributes values |
Returns
- a new instance of ResizeBilinear