Class MaxPool3d.Inputs<T extends TNumber>

java.lang.Object

org.tensorflow.op.RawOpInputs<MaxPool3d<T>>

org.tensorflow.op.nn.MaxPool3d.Inputs<T>

Enclosing class:

MaxPool3d<T extends TNumber>

public static class MaxPool3d.Inputs<T extends TNumber>
extends RawOpInputs<MaxPool3d<T>>

Field Summary

Fields

Modifier and Type	Field	Description
final String	dataFormat	The data format of the input and output data.
final Operand<T>	input	Shape [batch, depth, rows, cols, channels] tensor to pool over.
final long[]	ksize	1-D tensor of length 5.
final String	padding	The type of padding algorithm to use.
final long[]	strides	1-D tensor of length 5.
final DataType	T	The T attribute

Constructor Summary

Constructors

Constructor	Description
Inputs(GraphOperation op)

Method Summary

Methods inherited from class RawOpInputs

attributeMetadata, attributeNames, attributes, attributeValue, attributeValues, equals, getOutputs, hashCode, toString

Methods inherited from class Object

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

Field Details

input

public final Operand<T extends TNumber> input

Shape [batch, depth, rows, cols, channels] tensor to pool over.

ksize

public final long[] 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

public final long[] 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

public final String padding

The type of padding algorithm to use.

dataFormat

public final String 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].

T

public final DataType T

The T attribute

Constructor Details

Inputs

public Inputs(GraphOperation op)