com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition

Enum AutoMlImageSegmentationInputs.ModelType

java.lang.Object

java.lang.Enum<AutoMlImageSegmentationInputs.ModelType>

com.google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType

All Implemented Interfaces:

com.google.protobuf.Internal.EnumLite, com.google.protobuf.ProtocolMessageEnum, Serializable, Comparable<AutoMlImageSegmentationInputs.ModelType>

Enclosing class:

AutoMlImageSegmentationInputs

public static enum AutoMlImageSegmentationInputs.ModelType
extends Enum<AutoMlImageSegmentationInputs.ModelType>
implements com.google.protobuf.ProtocolMessageEnum

Protobuf enum google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType

Enum Constant Summary

Enum Constants

Enum Constant and Description
CLOUD_HIGH_ACCURACY_1 A model to be used via prediction calls to uCAIP API.
CLOUD_LOW_ACCURACY_1 A model to be used via prediction calls to uCAIP API.
MOBILE_TF_LOW_LATENCY_1 A model that, in addition to being available within Google Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow model and used on a mobile or edge device afterwards.
MODEL_TYPE_UNSPECIFIED Should not be set.
UNRECOGNIZED

Field Summary

Fields

Modifier and Type	Field and Description
static int	CLOUD_HIGH_ACCURACY_1_VALUE A model to be used via prediction calls to uCAIP API.
static int	CLOUD_LOW_ACCURACY_1_VALUE A model to be used via prediction calls to uCAIP API.
static int	MOBILE_TF_LOW_LATENCY_1_VALUE A model that, in addition to being available within Google Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow model and used on a mobile or edge device afterwards.
static int	MODEL_TYPE_UNSPECIFIED_VALUE Should not be set.

Method Summary

Modifier and Type	Method and Description
static AutoMlImageSegmentationInputs.ModelType	forNumber(int value)
static com.google.protobuf.Descriptors.EnumDescriptor	getDescriptor()
com.google.protobuf.Descriptors.EnumDescriptor	getDescriptorForType()
int	getNumber()
com.google.protobuf.Descriptors.EnumValueDescriptor	getValueDescriptor()
static com.google.protobuf.Internal.EnumLiteMap<AutoMlImageSegmentationInputs.ModelType>	internalGetValueMap()
static AutoMlImageSegmentationInputs.ModelType	valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc)
static AutoMlImageSegmentationInputs.ModelType	valueOf(int value) Deprecated. Use forNumber(int) instead.
static AutoMlImageSegmentationInputs.ModelType	valueOf(String name) Returns the enum constant of this type with the specified name.
static AutoMlImageSegmentationInputs.ModelType[]	values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods inherited from class java.lang.Enum

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

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Enum Constant Detail

MODEL_TYPE_UNSPECIFIED

public static final AutoMlImageSegmentationInputs.ModelType MODEL_TYPE_UNSPECIFIED

 Should not be set.
 

MODEL_TYPE_UNSPECIFIED = 0;

CLOUD_HIGH_ACCURACY_1

public static final AutoMlImageSegmentationInputs.ModelType CLOUD_HIGH_ACCURACY_1

 A model to be used via prediction calls to uCAIP API. Expected
 to have a higher latency, but should also have a higher prediction
 quality than other models.
 

CLOUD_HIGH_ACCURACY_1 = 1;

CLOUD_LOW_ACCURACY_1

public static final AutoMlImageSegmentationInputs.ModelType CLOUD_LOW_ACCURACY_1

 A model to be used via prediction calls to uCAIP API. Expected
 to have a lower latency but relatively lower prediction quality.
 

CLOUD_LOW_ACCURACY_1 = 2;

MOBILE_TF_LOW_LATENCY_1

public static final AutoMlImageSegmentationInputs.ModelType MOBILE_TF_LOW_LATENCY_1

 A model that, in addition to being available within Google
 Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
 model and used on a mobile or edge device afterwards.
 Expected to have low latency, but may have lower prediction
 quality than other mobile models.
 

MOBILE_TF_LOW_LATENCY_1 = 3;

UNRECOGNIZED

public static final AutoMlImageSegmentationInputs.ModelType UNRECOGNIZED

Field Detail

MODEL_TYPE_UNSPECIFIED_VALUE

public static final int MODEL_TYPE_UNSPECIFIED_VALUE

 Should not be set.
 

MODEL_TYPE_UNSPECIFIED = 0;

See Also:

Constant Field Values

CLOUD_HIGH_ACCURACY_1_VALUE

public static final int CLOUD_HIGH_ACCURACY_1_VALUE

 A model to be used via prediction calls to uCAIP API. Expected
 to have a higher latency, but should also have a higher prediction
 quality than other models.
 

CLOUD_HIGH_ACCURACY_1 = 1;

See Also:

Constant Field Values

CLOUD_LOW_ACCURACY_1_VALUE

public static final int CLOUD_LOW_ACCURACY_1_VALUE

 A model to be used via prediction calls to uCAIP API. Expected
 to have a lower latency but relatively lower prediction quality.
 

CLOUD_LOW_ACCURACY_1 = 2;

See Also:

Constant Field Values

MOBILE_TF_LOW_LATENCY_1_VALUE

public static final int MOBILE_TF_LOW_LATENCY_1_VALUE

 A model that, in addition to being available within Google
 Cloud, can also be exported (see ModelService.ExportModel) as TensorFlow
 model and used on a mobile or edge device afterwards.
 Expected to have low latency, but may have lower prediction
 quality than other mobile models.
 

MOBILE_TF_LOW_LATENCY_1 = 3;

See Also:

Constant Field Values

Method Detail

values

public static AutoMlImageSegmentationInputs.ModelType[] 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 (AutoMlImageSegmentationInputs.ModelType c : AutoMlImageSegmentationInputs.ModelType.values())
    System.out.println(c);

Returns:

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

valueOf

public static AutoMlImageSegmentationInputs.ModelType valueOf(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:

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

NullPointerException - if the argument is null

getNumber

public final int getNumber()

Specified by:

getNumber in interface com.google.protobuf.Internal.EnumLite

Specified by:

getNumber in interface com.google.protobuf.ProtocolMessageEnum

valueOf

@Deprecated
public static AutoMlImageSegmentationInputs.ModelType valueOf(int value)

Deprecated. Use forNumber(int) instead.

Parameters:

value - The numeric wire value of the corresponding enum entry.

Returns:

The enum associated with the given numeric wire value.

forNumber

public static AutoMlImageSegmentationInputs.ModelType forNumber(int value)

Parameters:

value - The numeric wire value of the corresponding enum entry.

Returns:

The enum associated with the given numeric wire value.

internalGetValueMap

public static com.google.protobuf.Internal.EnumLiteMap<AutoMlImageSegmentationInputs.ModelType> internalGetValueMap()

getValueDescriptor

public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor()

Specified by:

getValueDescriptor in interface com.google.protobuf.ProtocolMessageEnum

getDescriptorForType

public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType()

Specified by:

getDescriptorForType in interface com.google.protobuf.ProtocolMessageEnum

getDescriptor

public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor()

valueOf

public static AutoMlImageSegmentationInputs.ModelType valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc)