org.tensorflow.op.core

Class QuantizedResizeBilinear<T>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.core.QuantizedResizeBilinear<T>

Type Parameters:

T - data type for resizedImages() output

All Implemented Interfaces:

Op

@Operator
public final class QuantizedResizeBilinear<T>
extends PrimitiveOp

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

Input images and output images must be quantized types.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	QuantizedResizeBilinear.Options Optional attributes for QuantizedResizeBilinear

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
static QuantizedResizeBilinear.Options	alignCorners(Boolean alignCorners)
static <T> QuantizedResizeBilinear<T>	create(Scope scope, Operand<T> images, Operand<Integer> size, Operand<Float> min, Operand<Float> max, QuantizedResizeBilinear.Options... options) Factory method to create a class to wrap a new QuantizedResizeBilinear operation to the graph.
Output<Float>	outMax()
Output<Float>	outMin()
Output<T>	resizedImages() 4-D with shape `[batch, new_height, new_width, channels]`.

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, toString

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Method Detail

create

public static <T> QuantizedResizeBilinear<T> create(Scope scope,
                                                    Operand<T> images,
                                                    Operand<Integer> size,
                                                    Operand<Float> min,
                                                    Operand<Float> max,
                                                    QuantizedResizeBilinear.Options... options)

Factory method to create a class to wrap a new QuantizedResizeBilinear operation to the graph.

Parameters:

scope - current graph 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.

min -

max -

options - carries optional attributes values

Returns:

a new instance of QuantizedResizeBilinear

alignCorners

public static QuantizedResizeBilinear.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.

resizedImages

public Output<T> resizedImages()

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

outMin

public Output<Float> outMin()

outMax

public Output<Float> outMax()