tensorflow.serving

Interface ModelServerConfigOuterClass.ModelConfigOrBuilder

All Superinterfaces:

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

All Known Implementing Classes:

ModelServerConfigOuterClass.ModelConfig, ModelServerConfigOuterClass.ModelConfig.Builder

Enclosing class:

ModelServerConfigOuterClass

public static interface ModelServerConfigOuterClass.ModelConfigOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
boolean	containsVersionLabels(java.lang.String key) String labels to associate with versions of the model, allowing inference queries to refer to versions by label instead of number.
java.lang.String	getBasePath() Base path to the model, excluding the version directory.
com.google.protobuf.ByteString	getBasePathBytes() Base path to the model, excluding the version directory.
LoggingConfigOuterClass.LoggingConfig	getLoggingConfig() Configures logging requests and responses, to the model.
LoggingConfigOuterClass.LoggingConfigOrBuilder	getLoggingConfigOrBuilder() Configures logging requests and responses, to the model.
java.lang.String	getModelPlatform() Type of model (e.g.
com.google.protobuf.ByteString	getModelPlatformBytes() Type of model (e.g.
ModelServerConfigOuterClass.ModelType	getModelType() Deprecated.
int	getModelTypeValue() Deprecated.
FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy	getModelVersionPolicy() Version policy for the model indicating which version(s) of the model to load and make available for serving simultaneously.
FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicyOrBuilder	getModelVersionPolicyOrBuilder() Version policy for the model indicating which version(s) of the model to load and make available for serving simultaneously.
java.lang.String	getName() Name of the model.
com.google.protobuf.ByteString	getNameBytes() Name of the model.
java.util.Map<java.lang.String,java.lang.Long>	getVersionLabels() Deprecated.
int	getVersionLabelsCount() String labels to associate with versions of the model, allowing inference queries to refer to versions by label instead of number.
java.util.Map<java.lang.String,java.lang.Long>	getVersionLabelsMap() String labels to associate with versions of the model, allowing inference queries to refer to versions by label instead of number.
long	getVersionLabelsOrDefault(java.lang.String key, long defaultValue) String labels to associate with versions of the model, allowing inference queries to refer to versions by label instead of number.
long	getVersionLabelsOrThrow(java.lang.String key) String labels to associate with versions of the model, allowing inference queries to refer to versions by label instead of number.
boolean	hasLoggingConfig() Configures logging requests and responses, to the model.
boolean	hasModelVersionPolicy() Version policy for the model indicating which version(s) of the model to load and make available for serving simultaneously.

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

getName

java.lang.String getName()

 Name of the model.
 

string name = 1;

Returns:

The name.

getNameBytes

com.google.protobuf.ByteString getNameBytes()

 Name of the model.
 

string name = 1;

Returns:

The bytes for name.

getBasePath

java.lang.String getBasePath()

 Base path to the model, excluding the version directory.
 E.g> for a model at /foo/bar/my_model/123, where 123 is the version, the
 base path is /foo/bar/my_model.
 (This can be changed once a model is in serving, *if* the underlying data
 remains the same. Otherwise there are no guarantees about whether the old
 or new data will be used for model versions currently loaded.)
 

string base_path = 2;

Returns:

The basePath.

getBasePathBytes

com.google.protobuf.ByteString getBasePathBytes()

 Base path to the model, excluding the version directory.
 E.g> for a model at /foo/bar/my_model/123, where 123 is the version, the
 base path is /foo/bar/my_model.
 (This can be changed once a model is in serving, *if* the underlying data
 remains the same. Otherwise there are no guarantees about whether the old
 or new data will be used for model versions currently loaded.)
 

string base_path = 2;

Returns:

The bytes for basePath.

getModelTypeValue

@Deprecated
int getModelTypeValue()

Deprecated.

 Type of model.
 TODO(b/31336131): DEPRECATED. Please use 'model_platform' instead.
 

.tensorflow.serving.ModelType model_type = 3 [deprecated = true];

Returns:

The enum numeric value on the wire for modelType.

getModelType

@Deprecated
ModelServerConfigOuterClass.ModelType getModelType()

Deprecated.

 Type of model.
 TODO(b/31336131): DEPRECATED. Please use 'model_platform' instead.
 

.tensorflow.serving.ModelType model_type = 3 [deprecated = true];

Returns:

The modelType.

getModelPlatform

java.lang.String getModelPlatform()

 Type of model (e.g. "tensorflow").
 (This cannot be changed once a model is in serving.)
 

string model_platform = 4;

Returns:

The modelPlatform.

getModelPlatformBytes

com.google.protobuf.ByteString getModelPlatformBytes()

 Type of model (e.g. "tensorflow").
 (This cannot be changed once a model is in serving.)
 

string model_platform = 4;

Returns:

The bytes for modelPlatform.

hasModelVersionPolicy

boolean hasModelVersionPolicy()

 Version policy for the model indicating which version(s) of the model to
 load and make available for serving simultaneously.
 The default option is to serve only the latest version of the model.
 (This can be changed once a model is in serving.)
 

.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy model_version_policy = 7;

Returns:

Whether the modelVersionPolicy field is set.

getModelVersionPolicy

FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicy getModelVersionPolicy()

 Version policy for the model indicating which version(s) of the model to
 load and make available for serving simultaneously.
 The default option is to serve only the latest version of the model.
 (This can be changed once a model is in serving.)
 

.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy model_version_policy = 7;

Returns:

The modelVersionPolicy.

getModelVersionPolicyOrBuilder

FileSystemStoragePathSource.FileSystemStoragePathSourceConfig.ServableVersionPolicyOrBuilder getModelVersionPolicyOrBuilder()

 Version policy for the model indicating which version(s) of the model to
 load and make available for serving simultaneously.
 The default option is to serve only the latest version of the model.
 (This can be changed once a model is in serving.)
 

.tensorflow.serving.FileSystemStoragePathSourceConfig.ServableVersionPolicy model_version_policy = 7;

getVersionLabelsCount

int getVersionLabelsCount()

 String labels to associate with versions of the model, allowing inference
 queries to refer to versions by label instead of number. Multiple labels
 can map to the same version, but not vice-versa.
 An envisioned use-case for these labels is canarying tentative versions.
 For example, one can assign labels "stable" and "canary" to two specific
 versions. Perhaps initially "stable" is assigned to version 0 and "canary"
 to version 1. Once version 1 passes canary, one can shift the "stable"
 label to refer to version 1 (at that point both labels map to the same
 version -- version 1 -- which is fine). Later once version 2 is ready to
 canary one can move the "canary" label to version 2. And so on.
 

map<string, int64> version_labels = 8;

containsVersionLabels

boolean containsVersionLabels(java.lang.String key)

 String labels to associate with versions of the model, allowing inference
 queries to refer to versions by label instead of number. Multiple labels
 can map to the same version, but not vice-versa.
 An envisioned use-case for these labels is canarying tentative versions.
 For example, one can assign labels "stable" and "canary" to two specific
 versions. Perhaps initially "stable" is assigned to version 0 and "canary"
 to version 1. Once version 1 passes canary, one can shift the "stable"
 label to refer to version 1 (at that point both labels map to the same
 version -- version 1 -- which is fine). Later once version 2 is ready to
 canary one can move the "canary" label to version 2. And so on.
 

map<string, int64> version_labels = 8;

getVersionLabels

@Deprecated
java.util.Map<java.lang.String,java.lang.Long> getVersionLabels()

Deprecated.

Use getVersionLabelsMap() instead.

getVersionLabelsMap

java.util.Map<java.lang.String,java.lang.Long> getVersionLabelsMap()

 String labels to associate with versions of the model, allowing inference
 queries to refer to versions by label instead of number. Multiple labels
 can map to the same version, but not vice-versa.
 An envisioned use-case for these labels is canarying tentative versions.
 For example, one can assign labels "stable" and "canary" to two specific
 versions. Perhaps initially "stable" is assigned to version 0 and "canary"
 to version 1. Once version 1 passes canary, one can shift the "stable"
 label to refer to version 1 (at that point both labels map to the same
 version -- version 1 -- which is fine). Later once version 2 is ready to
 canary one can move the "canary" label to version 2. And so on.
 

map<string, int64> version_labels = 8;

getVersionLabelsOrDefault

long getVersionLabelsOrDefault(java.lang.String key,
                               long defaultValue)

 String labels to associate with versions of the model, allowing inference
 queries to refer to versions by label instead of number. Multiple labels
 can map to the same version, but not vice-versa.
 An envisioned use-case for these labels is canarying tentative versions.
 For example, one can assign labels "stable" and "canary" to two specific
 versions. Perhaps initially "stable" is assigned to version 0 and "canary"
 to version 1. Once version 1 passes canary, one can shift the "stable"
 label to refer to version 1 (at that point both labels map to the same
 version -- version 1 -- which is fine). Later once version 2 is ready to
 canary one can move the "canary" label to version 2. And so on.
 

map<string, int64> version_labels = 8;

getVersionLabelsOrThrow

long getVersionLabelsOrThrow(java.lang.String key)

 String labels to associate with versions of the model, allowing inference
 queries to refer to versions by label instead of number. Multiple labels
 can map to the same version, but not vice-versa.
 An envisioned use-case for these labels is canarying tentative versions.
 For example, one can assign labels "stable" and "canary" to two specific
 versions. Perhaps initially "stable" is assigned to version 0 and "canary"
 to version 1. Once version 1 passes canary, one can shift the "stable"
 label to refer to version 1 (at that point both labels map to the same
 version -- version 1 -- which is fine). Later once version 2 is ready to
 canary one can move the "canary" label to version 2. And so on.
 

map<string, int64> version_labels = 8;

hasLoggingConfig

boolean hasLoggingConfig()

 Configures logging requests and responses, to the model.
 (This can be changed once a model is in serving.)
 

.tensorflow.serving.LoggingConfig logging_config = 6;

Returns:

Whether the loggingConfig field is set.

getLoggingConfig

LoggingConfigOuterClass.LoggingConfig getLoggingConfig()

 Configures logging requests and responses, to the model.
 (This can be changed once a model is in serving.)
 

.tensorflow.serving.LoggingConfig logging_config = 6;

Returns:

The loggingConfig.

getLoggingConfigOrBuilder

LoggingConfigOuterClass.LoggingConfigOrBuilder getLoggingConfigOrBuilder()

 Configures logging requests and responses, to the model.
 (This can be changed once a model is in serving.)
 

.tensorflow.serving.LoggingConfig logging_config = 6;