org.tensorflow.op.nn

Class AvgPool3dGrad<T extends Number>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.nn.AvgPool3dGrad<T>

Type Parameters:

T - data type for output() output

All Implemented Interfaces:

Op, Operand<T>

@Operator(group="nn")
public final class AvgPool3dGrad<T extends Number>
extends PrimitiveOp
implements Operand<T>

Computes gradients of average pooling function.

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	AvgPool3dGrad.Options Optional attributes for AvgPool3dGrad

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method and Description
Output<T>	asOutput() Returns the symbolic handle of a tensor.
static <T extends Number> AvgPool3dGrad<T>	create(Scope scope, Operand<Integer> origInputShape, Operand<T> grad, List<Long> ksize, List<Long> strides, String padding, AvgPool3dGrad.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.

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, op, toString

Methods inherited from class java.lang.Object

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

Method Detail

create

public static <T extends Number> AvgPool3dGrad<T> create(Scope scope,
                                                         Operand<Integer> origInputShape,
                                                         Operand<T> grad,
                                                         List<Long> ksize,
                                                         List<Long> strides,
                                                         String padding,
                                                         AvgPool3dGrad.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

dataFormat

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].

output

public Output<T> output()

The backprop for input.

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)