org.tensorflow.op.core

Class AvgPool<T extends Number>

java.lang.Object

org.tensorflow.op.PrimitiveOp

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

Type Parameters:

T - data type for output() output

All Implemented Interfaces:

Op, Operand<T>

@Operator
public final class AvgPool<T extends Number>
extends PrimitiveOp
implements Operand<T>

Performs average pooling on the input.

Each entry in `output` is the mean of the corresponding size `ksize` window in `value`.

Nested Class Summary

Nested Classes

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

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> AvgPool<T>	create(Scope scope, Operand<T> value, List<Long> ksize, List<Long> strides, String padding, AvgPool.Options... options) Factory method to create a class to wrap a new AvgPool operation to the graph.
static AvgPool.Options	dataFormat(String dataFormat)
Output<T>	output() The average pooled output tensor.

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> AvgPool<T> create(Scope scope,
                                                   Operand<T> value,
                                                   List<Long> ksize,
                                                   List<Long> strides,
                                                   String padding,
                                                   AvgPool.Options... options)

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

Parameters:

scope - current graph scope

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

ksize - The size of the sliding window for each dimension of `value`.

strides - The stride of the sliding window for each dimension of `value`.

padding - The type of padding algorithm to use.

options - carries optional attributes values

Returns:

a new instance of AvgPool

dataFormat

public static AvgPool.Options dataFormat(String dataFormat)

Parameters:

dataFormat - Specify the data format of the input and output data. With the default format "NHWC", the data is stored in the order of: [batch, in_height, in_width, in_channels]. Alternatively, the format could be "NCHW", the data storage order of: [batch, in_channels, in_height, in_width].

output

public Output<T> output()

The average pooled output tensor.

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)