ResizeBilinearGrad

public final class ResizeBilinearGrad

Computes the gradient of bilinear interpolation.

Nested Classes

class ResizeBilinearGrad.Options Optional attributes for ResizeBilinearGrad  

Constants

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

Public Methods

static ResizeBilinearGrad.Options
alignCorners(Boolean alignCorners)
Output<T>
asOutput()
Returns the symbolic handle of the tensor.
static <T extends TNumber> ResizeBilinearGrad<T>
create(Scope scope, Operand<TFloat32> grads, Operand<T> originalImage, Options... options)
Factory method to create a class wrapping a new ResizeBilinearGrad operation.
static ResizeBilinearGrad.Options
halfPixelCenters(Boolean halfPixelCenters)
Output<T>
output()
4-D with shape `[batch, orig_height, orig_width, channels]`.

Inherited Methods

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()
boolean
equals(Object arg0)
final Class<?>
getClass()
int
hashCode()
final void
notify()
final void
notifyAll()
String
toString()
final void
wait(long arg0, int arg1)
final void
wait(long arg0)
final void
wait()
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.
org.tensorflow.Operand
abstract Output<T>
asOutput()
Returns the symbolic handle of the tensor.
abstract T
asTensor()
Returns the tensor at this operand.
abstract Shape
shape()
Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<T>
type()
Returns the tensor type of this operand
org.tensorflow.ndarray.Shaped
abstract int
rank()
abstract Shape
shape()
abstract long
size()
Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

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

Constant Value: "ResizeBilinearGrad"

Public Methods

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.

public Output<T> 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 ResizeBilinearGrad<T> create (Scope scope, Operand<TFloat32> grads, Operand<T> originalImage, Options... options)

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

Parameters
scope current 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

public static ResizeBilinearGrad.Options halfPixelCenters (Boolean halfPixelCenters)

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.