AvgPool3dGrad

public final class AvgPool3dGrad

Computes gradients of average pooling function.

Nested Classes

class AvgPool3dGrad.Options Optional attributes for AvgPool3dGrad

Constants

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

Public Methods

Output<T>	asOutput() Returns the symbolic handle of the tensor.
static <T extends TNumber> AvgPool3dGrad<T>	create(Scope scope, Operand<TInt32> origInputShape, Operand<T> grad, List<Long> ksize, List<Long> strides, String padding, Options... options) Factory method to create a class wrapping a new AvgPool3dGrad operation.
static AvgPool3dGrad.Options	dataFormat(String dataFormat)
Output<T>	output() The backprop for input.

Inherited Methods

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

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()

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`.

From interface 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

From interface 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: "AvgPool3DGrad"

Public Methods

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 AvgPool3dGrad<T> create (Scope scope, Operand<TInt32> origInputShape, Operand<T> grad, List<Long> ksize, List<Long> strides, String padding, Options... options)

Factory method to create a class wrapping a new AvgPool3dGrad operation.

Parameters

scope	current scope
origInputShape	The original input dimensions.
grad	Output backprop of shape `[batch, depth, rows, cols, channels]`.
ksize	1-D tensor of length 5. The size of the window for each dimension of the input tensor. Must have `ksize[0] = ksize[4] = 1`.
strides	1-D tensor of length 5. The stride of the sliding window for each dimension of `input`. Must have `strides[0] = strides[4] = 1`.
padding	The type of padding algorithm to use.
options	carries optional attributes values

Returns

a new instance of AvgPool3dGrad

public static AvgPool3dGrad.Options dataFormat (String dataFormat)

Parameters

dataFormat	The data format of the input and output data. With the default format "NDHWC", the data is stored in the order of: [batch, in_depth, in_height, in_width, in_channels]. Alternatively, the format could be "NCDHW", the data storage order is: [batch, in_channels, in_depth, in_height, in_width].

public Output<T> output ()

The backprop for input.