com.google.cloud.aiplatform.v1

Interface EmbedContentRequestOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

EmbedContentRequest, EmbedContentRequest.Builder

@Generated
public interface EmbedContentRequestOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
boolean	getAutoTruncate() Optional.
Content	getContent() Required.
ContentOrBuilder	getContentOrBuilder() Required.
String	getModel() Required.
com.google.protobuf.ByteString	getModelBytes() Required.
int	getOutputDimensionality() Optional.
EmbedContentRequest.EmbeddingTaskType	getTaskType() Optional.
int	getTaskTypeValue() Optional.
String	getTitle() Optional.
com.google.protobuf.ByteString	getTitleBytes() Optional.
boolean	hasAutoTruncate() Optional.
boolean	hasContent() Required.
boolean	hasModel() Required.
boolean	hasOutputDimensionality() Optional.
boolean	hasTaskType() Optional.
boolean	hasTitle() Optional.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

hasModel

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:

Whether the model field is set.

getModel

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:

The model.

getModelBytes

com.google.protobuf.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:

The bytes for model.

hasContent

boolean hasContent()

 Required. Input content to be embedded. Required.
 

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

Returns:

Whether the content field is set.

getContent

Content getContent()

 Required. Input content to be embedded. Required.
 

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

Returns:

The content.

getContentOrBuilder

ContentOrBuilder getContentOrBuilder()

 Required. Input content to be embedded. Required.
 

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

hasTitle

boolean hasTitle()

 Optional. An optional title for the text.
 

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

Returns:

Whether the title field is set.

getTitle

String getTitle()

 Optional. An optional title for the text.
 

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

Returns:

The title.

getTitleBytes

com.google.protobuf.ByteString getTitleBytes()

 Optional. An optional title for the text.
 

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

Returns:

The bytes for title.

hasTaskType

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:

Whether the taskType field is set.

getTaskTypeValue

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:

The enum numeric value on the wire for taskType.

getTaskType

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:

The taskType.

hasOutputDimensionality

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:

Whether the outputDimensionality field is set.

getOutputDimensionality

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:

The outputDimensionality.

hasAutoTruncate

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:

Whether the autoTruncate field is set.

getAutoTruncate

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:

The autoTruncate.