public final class AutoMlImageSegmentationInputs extends GeneratedMessageV3 implements AutoMlImageSegmentationInputsOrBuilder
Protobuf type
google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs
Inherited Members
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT,int)
com.google.protobuf.GeneratedMessageV3.<T>emptyList(java.lang.Class<T>)
com.google.protobuf.GeneratedMessageV3.internalGetMapFieldReflection(int)
Static Fields
public static final int BASE_MODEL_ID_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
public static final int BUDGET_MILLI_NODE_HOURS_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
public static final int MODEL_TYPE_FIELD_NUMBER
| Field Value |
|---|
| Type | Description |
int | |
Static Methods
public static AutoMlImageSegmentationInputs getDefaultInstance()
public static final Descriptors.Descriptor getDescriptor()
public static AutoMlImageSegmentationInputs.Builder newBuilder()
public static AutoMlImageSegmentationInputs.Builder newBuilder(AutoMlImageSegmentationInputs prototype)
public static AutoMlImageSegmentationInputs parseDelimitedFrom(InputStream input)
public static AutoMlImageSegmentationInputs parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static AutoMlImageSegmentationInputs parseFrom(byte[] data)
| Parameter |
|---|
| Name | Description |
data | byte[]
|
public static AutoMlImageSegmentationInputs parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
public static AutoMlImageSegmentationInputs parseFrom(ByteString data)
public static AutoMlImageSegmentationInputs parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
public static AutoMlImageSegmentationInputs parseFrom(CodedInputStream input)
public static AutoMlImageSegmentationInputs parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public static AutoMlImageSegmentationInputs parseFrom(InputStream input)
public static AutoMlImageSegmentationInputs parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
public static AutoMlImageSegmentationInputs parseFrom(ByteBuffer data)
public static AutoMlImageSegmentationInputs parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
public static Parser<AutoMlImageSegmentationInputs> parser()
Methods
public boolean equals(Object obj)
| Parameter |
|---|
| Name | Description |
obj | Object
|
Overrides
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 |
|---|
| Type | Description |
String | The baseModelId.
|
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 |
|---|
| Type | Description |
ByteString | The bytes for baseModelId.
|
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 |
|---|
| Type | Description |
long | The budgetMilliNodeHours.
|
public AutoMlImageSegmentationInputs getDefaultInstanceForType()
public AutoMlImageSegmentationInputs.ModelType getModelType()
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
public int getModelTypeValue()
.google.cloud.aiplatform.v1.schema.trainingjob.definition.AutoMlImageSegmentationInputs.ModelType model_type = 1;
| Returns |
|---|
| Type | Description |
int | The enum numeric value on the wire for modelType.
|
public Parser<AutoMlImageSegmentationInputs> getParserForType()
Overrides
public int getSerializedSize()
| Returns |
|---|
| Type | Description |
int | |
Overrides
| Returns |
|---|
| Type | Description |
int | |
Overrides
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Overrides
public final boolean isInitialized()
Overrides
public AutoMlImageSegmentationInputs.Builder newBuilderForType()
protected AutoMlImageSegmentationInputs.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Overrides
protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Overrides
public AutoMlImageSegmentationInputs.Builder toBuilder()
public void writeTo(CodedOutputStream output)
Overrides
