org.tensorflow.op.core

Class FractionalAvgPoolGrad<T extends Number>

java.lang.Object

org.tensorflow.op.PrimitiveOp

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

Type Parameters:

T - data type for output() output

All Implemented Interfaces:

Op, Operand<T>

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

Computes gradient of the FractionalAvgPool function.

Unlike FractionalMaxPoolGrad, we don't need to find arg_max for FractionalAvgPoolGrad, we just need to evenly back-propagate each element of out_backprop to those indices that form the same pooling cell. Therefore, we just need to know the shape of original input tensor, instead of the whole tensor.

Nested Class Summary

Nested Classes

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

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> FractionalAvgPoolGrad<T>	create(Scope scope, Operand<Long> origInputTensorShape, Operand<T> outBackprop, Operand<Long> rowPoolingSequence, Operand<Long> colPoolingSequence, FractionalAvgPoolGrad.Options... options) Factory method to create a class to wrap a new FractionalAvgPoolGrad operation to the graph.
Output<T>	output() 4-D.
static FractionalAvgPoolGrad.Options	overlapping(Boolean overlapping)

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> FractionalAvgPoolGrad<T> create(Scope scope,
                                                                 Operand<Long> origInputTensorShape,
                                                                 Operand<T> outBackprop,
                                                                 Operand<Long> rowPoolingSequence,
                                                                 Operand<Long> colPoolingSequence,
                                                                 FractionalAvgPoolGrad.Options... options)

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

Parameters:

scope - current graph scope

origInputTensorShape - Original input tensor shape for `fractional_avg_pool`

outBackprop - 4-D with shape `[batch, height, width, channels]`. Gradients w.r.t. the output of `fractional_avg_pool`.

rowPoolingSequence - row pooling sequence, form pooling region with col_pooling_sequence.

colPoolingSequence - column pooling sequence, form pooling region with row_pooling sequence.

options - carries optional attributes values

Returns:

a new instance of FractionalAvgPoolGrad

overlapping

public static FractionalAvgPoolGrad.Options overlapping(Boolean overlapping)

Parameters:

overlapping - When set to True, it means when pooling, the values at the boundary of adjacent pooling cells are used by both cells. For example:

`index 0 1 2 3 4`

`value 20 5 16 3 7`

If the pooling sequence is [0, 2, 4], then 16, at index 2 will be used twice. The result would be [41/3, 26/3] for fractional avg pooling.

output

public Output<T> output()

4-D. Gradients w.r.t. the input of `fractional_avg_pool`.

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)