weka.dl4j.enums

Enum AlgoMode

java.lang.Object

java.lang.Enum<AlgoMode>

weka.dl4j.enums.AlgoMode

All Implemented Interfaces:

java.io.Serializable, java.lang.Comparable<AlgoMode>, ApiWrapper<org.deeplearning4j.nn.conf.layers.ConvolutionLayer.AlgoMode>

public enum AlgoMode
extends java.lang.Enum<AlgoMode>
implements ApiWrapper<org.deeplearning4j.nn.conf.layers.ConvolutionLayer.AlgoMode>

Proxy Enum for ConvolutionMode. This is necessary as Weka's run script cannot find the enum classes during the option parsing as they reside in the Dl4j backend and are at that time not visible to the class loader.

Enum Constant Summary

Enum Constants

Enum Constant and Description
NO_WORKSPACE
PREFER_FASTEST
USER_SPECIFIED

Method Summary

Modifier and Type	Method and Description
static AlgoMode	fromBackend(org.deeplearning4j.nn.conf.layers.ConvolutionLayer.AlgoMode algoMode) Parse backend algo mode and return weka enum implementation.
org.deeplearning4j.nn.conf.layers.ConvolutionLayer.AlgoMode	getBackend() Access the DL4J backend.
void	initializeBackend() Initialize the DL4J backend.
void	setBackend(org.deeplearning4j.nn.conf.layers.ConvolutionLayer.AlgoMode newBackend) Set the DL4J backend.
static AlgoMode	valueOf(java.lang.String name) Returns the enum constant of this type with the specified name.
static AlgoMode[]	values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods inherited from class java.lang.Enum

compareTo, equals, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Enum Constant Detail

NO_WORKSPACE

public static final AlgoMode NO_WORKSPACE

PREFER_FASTEST

public static final AlgoMode PREFER_FASTEST

USER_SPECIFIED

public static final AlgoMode USER_SPECIFIED

Method Detail

values

public static AlgoMode[] values()

Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows:

for (AlgoMode c : AlgoMode.values())
    System.out.println(c);

Returns:

an array containing the constants of this enum type, in the order they are declared

valueOf

public static AlgoMode valueOf(java.lang.String name)

Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)

Parameters:

name - the name of the enum constant to be returned.

Returns:

the enum constant with the specified name

Throws:

java.lang.IllegalArgumentException - if this enum type has no constant with the specified name

java.lang.NullPointerException - if the argument is null

fromBackend

public static AlgoMode fromBackend(org.deeplearning4j.nn.conf.layers.ConvolutionLayer.AlgoMode algoMode)

Parse backend algo mode and return weka enum implementation.

Parameters:

algoMode - Convolution mode

Returns:

Weka convolution mode enum implementation

getBackend

public org.deeplearning4j.nn.conf.layers.ConvolutionLayer.AlgoMode getBackend()

Description copied from interface: ApiWrapper

Access the DL4J backend.

Specified by:

getBackend in interface ApiWrapper<org.deeplearning4j.nn.conf.layers.ConvolutionLayer.AlgoMode>

Returns:

DL4J backend for this wrapper

setBackend

public void setBackend(org.deeplearning4j.nn.conf.layers.ConvolutionLayer.AlgoMode newBackend)

Description copied from interface: ApiWrapper

Set the DL4J backend.

Specified by:

setBackend in interface ApiWrapper<org.deeplearning4j.nn.conf.layers.ConvolutionLayer.AlgoMode>

Parameters:

newBackend - Backend that should be wrapped by this class

initializeBackend

public void initializeBackend()

Description copied from interface: ApiWrapper

Initialize the DL4J backend.

Specified by:

initializeBackend in interface ApiWrapper<org.deeplearning4j.nn.conf.layers.ConvolutionLayer.AlgoMode>