tensorflow.serving

Interface Logging.LogMetadataOrBuilder

All Superinterfaces:

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

All Known Implementing Classes:

Logging.LogMetadata, Logging.LogMetadata.Builder

Enclosing class:

Logging

public static interface Logging.LogMetadataOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
Model.ModelSpec	getModelSpec() .tensorflow.serving.ModelSpec model_spec = 1;
Model.ModelSpecOrBuilder	getModelSpecOrBuilder() .tensorflow.serving.ModelSpec model_spec = 1;
LoggingConfigOuterClass.SamplingConfig	getSamplingConfig() .tensorflow.serving.SamplingConfig sampling_config = 2;
LoggingConfigOuterClass.SamplingConfigOrBuilder	getSamplingConfigOrBuilder() .tensorflow.serving.SamplingConfig sampling_config = 2;
java.lang.String	getSavedModelTags(int index) List of tags used to load the relevant MetaGraphDef from SavedModel.
com.google.protobuf.ByteString	getSavedModelTagsBytes(int index) List of tags used to load the relevant MetaGraphDef from SavedModel.
int	getSavedModelTagsCount() List of tags used to load the relevant MetaGraphDef from SavedModel.
java.util.List<java.lang.String>	getSavedModelTagsList() List of tags used to load the relevant MetaGraphDef from SavedModel.
boolean	hasModelSpec() .tensorflow.serving.ModelSpec model_spec = 1;
boolean	hasSamplingConfig() .tensorflow.serving.SamplingConfig sampling_config = 2;

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

hasModelSpec

boolean hasModelSpec()

.tensorflow.serving.ModelSpec model_spec = 1;

Returns:

Whether the modelSpec field is set.

getModelSpec

Model.ModelSpec getModelSpec()

.tensorflow.serving.ModelSpec model_spec = 1;

Returns:

The modelSpec.

getModelSpecOrBuilder

Model.ModelSpecOrBuilder getModelSpecOrBuilder()

.tensorflow.serving.ModelSpec model_spec = 1;

hasSamplingConfig

boolean hasSamplingConfig()

.tensorflow.serving.SamplingConfig sampling_config = 2;

Returns:

Whether the samplingConfig field is set.

getSamplingConfig

LoggingConfigOuterClass.SamplingConfig getSamplingConfig()

.tensorflow.serving.SamplingConfig sampling_config = 2;

Returns:

The samplingConfig.

getSamplingConfigOrBuilder

LoggingConfigOuterClass.SamplingConfigOrBuilder getSamplingConfigOrBuilder()

.tensorflow.serving.SamplingConfig sampling_config = 2;

getSavedModelTagsList

java.util.List<java.lang.String> getSavedModelTagsList()

 List of tags used to load the relevant MetaGraphDef from SavedModel.
 

repeated string saved_model_tags = 3;

Returns:

A list containing the savedModelTags.

getSavedModelTagsCount

int getSavedModelTagsCount()

 List of tags used to load the relevant MetaGraphDef from SavedModel.
 

repeated string saved_model_tags = 3;

Returns:

The count of savedModelTags.

getSavedModelTags

java.lang.String getSavedModelTags(int index)

 List of tags used to load the relevant MetaGraphDef from SavedModel.
 

repeated string saved_model_tags = 3;

Parameters:

index - The index of the element to return.

Returns:

The savedModelTags at the given index.

getSavedModelTagsBytes

com.google.protobuf.ByteString getSavedModelTagsBytes(int index)

 List of tags used to load the relevant MetaGraphDef from SavedModel.
 

repeated string saved_model_tags = 3;

Parameters:

index - The index of the value to return.

Returns:

The bytes of the savedModelTags at the given index.