org.tensorflow.op.core

Class ResizeBilinearGrad<T extends Number>

java.lang.Object

org.tensorflow.op.PrimitiveOp

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

Type Parameters:

T - data type for output() output

All Implemented Interfaces:

Op, Operand<T>

public final class ResizeBilinearGrad<T extends Number>
extends PrimitiveOp
implements Operand<T>

Computes the gradient of bilinear interpolation.

Nested Class Summary

Nested Classes

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

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
static ResizeBilinearGrad.Options	alignCorners(Boolean alignCorners)
Output<T>	asOutput() Returns the symbolic handle of a tensor.
static <T extends Number> ResizeBilinearGrad<T>	create(Scope scope, Operand<Float> grads, Operand<T> originalImage, ResizeBilinearGrad.Options... options) Factory method to create a class to wrap a new ResizeBilinearGrad operation to the graph.
Output<T>	output() 4-D with shape `[batch, orig_height, orig_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 extends Number> ResizeBilinearGrad<T> create(Scope scope,
                                                              Operand<Float> grads,
                                                              Operand<T> originalImage,
                                                              ResizeBilinearGrad.Options... options)

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

Parameters:

scope - current graph scope

grads - 4-D with shape `[batch, height, width, channels]`.

originalImage - 4-D with shape `[batch, orig_height, orig_width, channels]`, The image tensor that was resized.

options - carries optional attributes values

Returns:

a new instance of ResizeBilinearGrad

alignCorners

public static ResizeBilinearGrad.Options alignCorners(Boolean alignCorners)

Parameters:

alignCorners - If true, the centers of the 4 corner pixels of the input and grad tensors are aligned. Defaults to false.

output

public Output<T> output()

4-D with shape `[batch, orig_height, orig_width, channels]`. Gradients with respect to the input image. Input image must have been float or double.

asOutput

public Output<T> asOutput()

Description copied from interface: Operand

Returns the symbolic handle of a 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.

Specified by:

asOutput in interface Operand<T extends Number>

See Also:

OperationBuilder.addInput(Output)