Class AutoMlImageSegmentationInputs (3.23.0)

public final class AutoMlImageSegmentationInputs extends GeneratedMessageV3 implements AutoMlImageSegmentationInputsOrBuilder

Protobuf type google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs

Static Fields

BASE_MODEL_ID_FIELD_NUMBER

public static final int BASE_MODEL_ID_FIELD_NUMBER
Field Value
TypeDescription
int

BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER

public static final int BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER
Field Value
TypeDescription
int

MODEL_TYPE_FIELD_NUMBER

public static final int MODEL_TYPE_FIELD_NUMBER
Field Value
TypeDescription
int

Static Methods

getDefaultInstance()

public static AutoMlImageSegmentationInputs getDefaultInstance()
Returns
TypeDescription
AutoMlImageSegmentationInputs

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

newBuilder()

public static AutoMlImageSegmentationInputs.Builder newBuilder()
Returns
TypeDescription
AutoMlImageSegmentationInputs.Builder

newBuilder(AutoMlImageSegmentationInputs prototype)

public static AutoMlImageSegmentationInputs.Builder newBuilder(AutoMlImageSegmentationInputs prototype)
Parameter
NameDescription
prototypeAutoMlImageSegmentationInputs
Returns
TypeDescription
AutoMlImageSegmentationInputs.Builder

parseDelimitedFrom(InputStream input)

public static AutoMlImageSegmentationInputs parseDelimitedFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
AutoMlImageSegmentationInputs
Exceptions
TypeDescription
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static AutoMlImageSegmentationInputs parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
AutoMlImageSegmentationInputs
Exceptions
TypeDescription
IOException

parseFrom(byte[] data)

public static AutoMlImageSegmentationInputs parseFrom(byte[] data)
Parameter
NameDescription
databyte[]
Returns
TypeDescription
AutoMlImageSegmentationInputs
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static AutoMlImageSegmentationInputs parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
databyte[]
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
AutoMlImageSegmentationInputs
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data)

public static AutoMlImageSegmentationInputs parseFrom(ByteString data)
Parameter
NameDescription
dataByteString
Returns
TypeDescription
AutoMlImageSegmentationInputs
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static AutoMlImageSegmentationInputs parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteString
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
AutoMlImageSegmentationInputs
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static AutoMlImageSegmentationInputs parseFrom(CodedInputStream input)
Parameter
NameDescription
inputCodedInputStream
Returns
TypeDescription
AutoMlImageSegmentationInputs
Exceptions
TypeDescription
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static AutoMlImageSegmentationInputs parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
AutoMlImageSegmentationInputs
Exceptions
TypeDescription
IOException

parseFrom(InputStream input)

public static AutoMlImageSegmentationInputs parseFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Returns
TypeDescription
AutoMlImageSegmentationInputs
Exceptions
TypeDescription
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static AutoMlImageSegmentationInputs parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
AutoMlImageSegmentationInputs
Exceptions
TypeDescription
IOException

parseFrom(ByteBuffer data)

public static AutoMlImageSegmentationInputs parseFrom(ByteBuffer data)
Parameter
NameDescription
dataByteBuffer
Returns
TypeDescription
AutoMlImageSegmentationInputs
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static AutoMlImageSegmentationInputs parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteBuffer
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
AutoMlImageSegmentationInputs
Exceptions
TypeDescription
InvalidProtocolBufferException

parser()

public static Parser<AutoMlImageSegmentationInputs> parser()
Returns
TypeDescription
Parser<AutoMlImageSegmentationInputs>

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
NameDescription
objObject
Returns
TypeDescription
boolean
Overrides

getBaseModelId()

public String getBaseModelId()

The ID of the base model. If it is specified, the new model will be trained based on the base model. Otherwise, the new model will be trained from scratch. The base model must be in the same Project and Location as the new Model to train, and have the same modelType.

string base_model_id = 3;

Returns
TypeDescription
String

The baseModelId.

getBaseModelIdBytes()

public ByteString getBaseModelIdBytes()

The ID of the base model. If it is specified, the new model will be trained based on the base model. Otherwise, the new model will be trained from scratch. The base model must be in the same Project and Location as the new Model to train, and have the same modelType.

string base_model_id = 3;

Returns
TypeDescription
ByteString

The bytes for baseModelId.

getBudgetMilliNodeHours()

public long getBudgetMilliNodeHours()

The training budget of creating this model, expressed in milli node hours i.e. 1,000 value in this field means 1 node hour. The actual metadata.costMilliNodeHours will be equal or less than this value. If further model training ceases to provide any improvements, it will stop without using the full budget and the metadata.successfulStopReason will be model-converged. Note, node_hour = actual_hour * number_of_nodes_involved. Or actaul_wall_clock_hours = train_budget_milli_node_hours / (number_of_nodes_involved * 1000) For modelType cloud-high-accuracy-1(default), the budget must be between 20,000 and 2,000,000 milli node hours, inclusive. The default value is 192,000 which represents one day in wall time (1000 milli * 24 hours * 8 nodes).

int64 budget_milli_node_hours = 2;

Returns
TypeDescription
long

The budgetMilliNodeHours.

getDefaultInstanceForType()

public AutoMlImageSegmentationInputs getDefaultInstanceForType()
Returns
TypeDescription
AutoMlImageSegmentationInputs

getModelType()

public AutoMlImageSegmentationInputs.ModelType getModelType()

.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;

Returns
TypeDescription
AutoMlImageSegmentationInputs.ModelType

The modelType.

getModelTypeValue()

public int getModelTypeValue()

.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;

Returns
TypeDescription
int

The enum numeric value on the wire for modelType.

getParserForType()

public Parser<AutoMlImageSegmentationInputs> getParserForType()
Returns
TypeDescription
Parser<AutoMlImageSegmentationInputs>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
TypeDescription
int
Overrides

hashCode()

public int hashCode()
Returns
TypeDescription
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

newBuilderForType()

public AutoMlImageSegmentationInputs.Builder newBuilderForType()
Returns
TypeDescription
AutoMlImageSegmentationInputs.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected AutoMlImageSegmentationInputs.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
NameDescription
parentBuilderParent
Returns
TypeDescription
AutoMlImageSegmentationInputs.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
NameDescription
unusedUnusedPrivateParameter
Returns
TypeDescription
Object
Overrides

toBuilder()

public AutoMlImageSegmentationInputs.Builder toBuilder()
Returns
TypeDescription
AutoMlImageSegmentationInputs.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
NameDescription
outputCodedOutputStream
Overrides
Exceptions
TypeDescription
IOException