QuantizedResizeBilinear

public final class QuantizedResizeBilinear

Resize quantized `images` to `size` using quantized bilinear interpolation.

Input images and output images must be quantized types.

class QuantizedResizeBilinear.Options Optional attributes for QuantizedResizeBilinear

String OP_NAME The name of this op, as known by TensorFlow core engine

static QuantizedResizeBilinear.Options	alignCorners(Boolean alignCorners)
static <T extends TType> QuantizedResizeBilinear<T>	create(Scope scope, Operand<T> images, Operand<TInt32> size, Operand<TFloat32> min, Operand<TFloat32> max, Options... options) Factory method to create a class wrapping a new QuantizedResizeBilinear operation.
static QuantizedResizeBilinear.Options	halfPixelCenters(Boolean halfPixelCenters)
Output<TFloat32>	outMax()
Output<TFloat32>	outMin()
Output<T>	resizedImages() 4-D with shape `[batch, new_height, new_width, channels]`.

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single `Operation`.
final String	toString()

From class java.lang.Object

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single `Operation`.

Constants

The name of this op, as known by TensorFlow core engine

Constant Value: "QuantizedResizeBilinear"

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.

Factory method to create a class wrapping a new QuantizedResizeBilinear operation.

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

4-D with shape `[batch, new_height, new_width, channels]`.