Class EmbedContentRequest.Builder (3.82.0)

public static final class EmbedContentRequest.Builder extends GeneratedMessageV3.Builder<EmbedContentRequest.Builder> implements EmbedContentRequestOrBuilder

Request message for PredictionService.EmbedContent.

Protobuf type google.cloud.aiplatform.v1.EmbedContentRequest

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public EmbedContentRequest.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
EmbedContentRequest.Builder
Overrides

build()

public EmbedContentRequest build()
Returns
Type Description
EmbedContentRequest

buildPartial()

public EmbedContentRequest buildPartial()
Returns
Type Description
EmbedContentRequest

clear()

public EmbedContentRequest.Builder clear()
Returns
Type Description
EmbedContentRequest.Builder
Overrides

clearAutoTruncate()

public EmbedContentRequest.Builder clearAutoTruncate()

Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.

optional bool auto_truncate = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
EmbedContentRequest.Builder

This builder for chaining.

clearContent()

public EmbedContentRequest.Builder clearContent()

Required. Input content to be embedded. Required.

optional .google.cloud.aiplatform.v1.Content content = 2;

Returns
Type Description
EmbedContentRequest.Builder

clearField(Descriptors.FieldDescriptor field)

public EmbedContentRequest.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
EmbedContentRequest.Builder
Overrides

clearModel()

public EmbedContentRequest.Builder clearModel()

Required. The name of the publisher model requested to serve the prediction. Format: projects/{project}/locations/{location}/publishers/*/models/*

optional string model = 1 [(.google.api.resource_reference) = { ... }

Returns
Type Description
EmbedContentRequest.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public EmbedContentRequest.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
EmbedContentRequest.Builder
Overrides

clearOutputDimensionality()

public EmbedContentRequest.Builder clearOutputDimensionality()

Optional. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.

optional int32 output_dimensionality = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
EmbedContentRequest.Builder

This builder for chaining.

clearTaskType()

public EmbedContentRequest.Builder clearTaskType()

Optional. The task type of the embedding.

optional .google.cloud.aiplatform.v1.EmbedContentRequest.EmbeddingTaskType task_type = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
EmbedContentRequest.Builder

This builder for chaining.

clearTitle()

public EmbedContentRequest.Builder clearTitle()

Optional. An optional title for the text.

optional string title = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
EmbedContentRequest.Builder

This builder for chaining.

clone()

public EmbedContentRequest.Builder clone()
Returns
Type Description
EmbedContentRequest.Builder
Overrides

getAutoTruncate()

public boolean getAutoTruncate()

Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.

optional bool auto_truncate = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

The autoTruncate.

getContent()

public Content getContent()

Required. Input content to be embedded. Required.

optional .google.cloud.aiplatform.v1.Content content = 2;

Returns
Type Description
Content

The content.

getContentBuilder()

public Content.Builder getContentBuilder()

Required. Input content to be embedded. Required.

optional .google.cloud.aiplatform.v1.Content content = 2;

Returns
Type Description
Content.Builder

getContentOrBuilder()

public ContentOrBuilder getContentOrBuilder()

Required. Input content to be embedded. Required.

optional .google.cloud.aiplatform.v1.Content content = 2;

Returns
Type Description
ContentOrBuilder

getDefaultInstanceForType()

public EmbedContentRequest getDefaultInstanceForType()
Returns
Type Description
EmbedContentRequest

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

getModel()

public String getModel()

Required. The name of the publisher model requested to serve the prediction. Format: projects/{project}/locations/{location}/publishers/*/models/*

optional string model = 1 [(.google.api.resource_reference) = { ... }

Returns
Type Description
String

The model.

getModelBytes()

public ByteString getModelBytes()

Required. The name of the publisher model requested to serve the prediction. Format: projects/{project}/locations/{location}/publishers/*/models/*

optional string model = 1 [(.google.api.resource_reference) = { ... }

Returns
Type Description
ByteString

The bytes for model.

getOutputDimensionality()

public int getOutputDimensionality()

Optional. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.

optional int32 output_dimensionality = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
int

The outputDimensionality.

getTaskType()

public EmbedContentRequest.EmbeddingTaskType getTaskType()

Optional. The task type of the embedding.

optional .google.cloud.aiplatform.v1.EmbedContentRequest.EmbeddingTaskType task_type = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
EmbedContentRequest.EmbeddingTaskType

The taskType.

getTaskTypeValue()

public int getTaskTypeValue()

Optional. The task type of the embedding.

optional .google.cloud.aiplatform.v1.EmbedContentRequest.EmbeddingTaskType task_type = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
int

The enum numeric value on the wire for taskType.

getTitle()

public String getTitle()

Optional. An optional title for the text.

optional string title = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
String

The title.

getTitleBytes()

public ByteString getTitleBytes()

Optional. An optional title for the text.

optional string title = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
ByteString

The bytes for title.

hasAutoTruncate()

public boolean hasAutoTruncate()

Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.

optional bool auto_truncate = 7 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the autoTruncate field is set.

hasContent()

public boolean hasContent()

Required. Input content to be embedded. Required.

optional .google.cloud.aiplatform.v1.Content content = 2;

Returns
Type Description
boolean

Whether the content field is set.

hasModel()

public boolean hasModel()

Required. The name of the publisher model requested to serve the prediction. Format: projects/{project}/locations/{location}/publishers/*/models/*

optional string model = 1 [(.google.api.resource_reference) = { ... }

Returns
Type Description
boolean

Whether the model field is set.

hasOutputDimensionality()

public boolean hasOutputDimensionality()

Optional. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.

optional int32 output_dimensionality = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the outputDimensionality field is set.

hasTaskType()

public boolean hasTaskType()

Optional. The task type of the embedding.

optional .google.cloud.aiplatform.v1.EmbedContentRequest.EmbeddingTaskType task_type = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the taskType field is set.

hasTitle()

public boolean hasTitle()

Optional. An optional title for the text.

optional string title = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type Description
boolean

Whether the title field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeContent(Content value)

public EmbedContentRequest.Builder mergeContent(Content value)

Required. Input content to be embedded. Required.

optional .google.cloud.aiplatform.v1.Content content = 2;

Parameter
Name Description
value Content
Returns
Type Description
EmbedContentRequest.Builder

mergeFrom(EmbedContentRequest other)

public EmbedContentRequest.Builder mergeFrom(EmbedContentRequest other)
Parameter
Name Description
other EmbedContentRequest
Returns
Type Description
EmbedContentRequest.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public EmbedContentRequest.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
EmbedContentRequest.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public EmbedContentRequest.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
EmbedContentRequest.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final EmbedContentRequest.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
EmbedContentRequest.Builder
Overrides

setAutoTruncate(boolean value)

public EmbedContentRequest.Builder setAutoTruncate(boolean value)

Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.

optional bool auto_truncate = 7 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value boolean

The autoTruncate to set.

Returns
Type Description
EmbedContentRequest.Builder

This builder for chaining.

setContent(Content value)

public EmbedContentRequest.Builder setContent(Content value)

Required. Input content to be embedded. Required.

optional .google.cloud.aiplatform.v1.Content content = 2;

Parameter
Name Description
value Content
Returns
Type Description
EmbedContentRequest.Builder

setContent(Content.Builder builderForValue)

public EmbedContentRequest.Builder setContent(Content.Builder builderForValue)

Required. Input content to be embedded. Required.

optional .google.cloud.aiplatform.v1.Content content = 2;

Parameter
Name Description
builderForValue Content.Builder
Returns
Type Description
EmbedContentRequest.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public EmbedContentRequest.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
EmbedContentRequest.Builder
Overrides

setModel(String value)

public EmbedContentRequest.Builder setModel(String value)

Required. The name of the publisher model requested to serve the prediction. Format: projects/{project}/locations/{location}/publishers/*/models/*

optional string model = 1 [(.google.api.resource_reference) = { ... }

Parameter
Name Description
value String

The model to set.

Returns
Type Description
EmbedContentRequest.Builder

This builder for chaining.

setModelBytes(ByteString value)

public EmbedContentRequest.Builder setModelBytes(ByteString value)

Required. The name of the publisher model requested to serve the prediction. Format: projects/{project}/locations/{location}/publishers/*/models/*

optional string model = 1 [(.google.api.resource_reference) = { ... }

Parameter
Name Description
value ByteString

The bytes for model to set.

Returns
Type Description
EmbedContentRequest.Builder

This builder for chaining.

setOutputDimensionality(int value)

public EmbedContentRequest.Builder setOutputDimensionality(int value)

Optional. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.

optional int32 output_dimensionality = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value int

The outputDimensionality to set.

Returns
Type Description
EmbedContentRequest.Builder

This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public EmbedContentRequest.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
EmbedContentRequest.Builder
Overrides

setTaskType(EmbedContentRequest.EmbeddingTaskType value)

public EmbedContentRequest.Builder setTaskType(EmbedContentRequest.EmbeddingTaskType value)

Optional. The task type of the embedding.

optional .google.cloud.aiplatform.v1.EmbedContentRequest.EmbeddingTaskType task_type = 5 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value EmbedContentRequest.EmbeddingTaskType

The taskType to set.

Returns
Type Description
EmbedContentRequest.Builder

This builder for chaining.

setTaskTypeValue(int value)

public EmbedContentRequest.Builder setTaskTypeValue(int value)

Optional. The task type of the embedding.

optional .google.cloud.aiplatform.v1.EmbedContentRequest.EmbeddingTaskType task_type = 5 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value int

The enum numeric value on the wire for taskType to set.

Returns
Type Description
EmbedContentRequest.Builder

This builder for chaining.

setTitle(String value)

public EmbedContentRequest.Builder setTitle(String value)

Optional. An optional title for the text.

optional string title = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value String

The title to set.

Returns
Type Description
EmbedContentRequest.Builder

This builder for chaining.

setTitleBytes(ByteString value)

public EmbedContentRequest.Builder setTitleBytes(ByteString value)

Optional. An optional title for the text.

optional string title = 4 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name Description
value ByteString

The bytes for title to set.

Returns
Type Description
EmbedContentRequest.Builder

This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final EmbedContentRequest.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
EmbedContentRequest.Builder
Overrides