Package inference

Interface ModelConfigOuterClass.ModelEnsembling.StepOrBuilder

All Superinterfaces:

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

All Known Implementing Classes:

ModelConfigOuterClass.ModelEnsembling.Step, ModelConfigOuterClass.ModelEnsembling.Step.Builder

Enclosing class:

ModelConfigOuterClass.ModelEnsembling

public static interface ModelConfigOuterClass.ModelEnsembling.StepOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method	Description
boolean	containsInputMap(String key)	@@ ..
boolean	containsOutputMap(String key)	@@ ..
Map<String,String>	getInputMap()	Deprecated.
int	getInputMapCount()	@@ ..
Map<String,String>	getInputMapMap()	@@ ..
String	getInputMapOrDefault(String key, String defaultValue)	@@ ..
String	getInputMapOrThrow(String key)	@@ ..
String	getModelName()	@@ ..
com.google.protobuf.ByteString	getModelNameBytes()	@@ ..
String	getModelNamespace()	@@ ..
com.google.protobuf.ByteString	getModelNamespaceBytes()	@@ ..
long	getModelVersion()	@@ ..
Map<String,String>	getOutputMap()	Deprecated.
int	getOutputMapCount()	@@ ..
Map<String,String>	getOutputMapMap()	@@ ..
String	getOutputMapOrDefault(String key, String defaultValue)	@@ ..
String	getOutputMapOrThrow(String key)	@@ ..

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Methods inherited from interface com.google.protobuf.MessageOrBuilder

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

Method Details

getModelName

String getModelName()

@@  .. cpp:var:: string model_name
@@
@@     The name of the model to execute for this step of the ensemble.
@@
 

string model_name = 1;

Returns:

The modelName.

getModelNameBytes

com.google.protobuf.ByteString getModelNameBytes()

@@  .. cpp:var:: string model_name
@@
@@     The name of the model to execute for this step of the ensemble.
@@
 

string model_name = 1;

Returns:

The bytes for modelName.

getModelVersion

long getModelVersion()

@@  .. cpp:var:: int64 model_version
@@
@@     The version of the model to use for inference. If -1
@@     the latest/most-recent version of the model is used.
@@
 

int64 model_version = 2;

Returns:

The modelVersion.

getInputMapCount

int getInputMapCount()

@@  .. cpp:var:: map<string,string> input_map
@@
@@     Map from name of an input tensor on this step's model to ensemble
@@     tensor name. The ensemble tensor must have the same data type and
@@     shape as the model input. Each model input must be assigned to
@@     one ensemble tensor, but the same ensemble tensor can be assigned
@@     to multiple model inputs.
@@
 

map<string, string> input_map = 3;

containsInputMap

boolean containsInputMap(String key)

@@  .. cpp:var:: map<string,string> input_map
@@
@@     Map from name of an input tensor on this step's model to ensemble
@@     tensor name. The ensemble tensor must have the same data type and
@@     shape as the model input. Each model input must be assigned to
@@     one ensemble tensor, but the same ensemble tensor can be assigned
@@     to multiple model inputs.
@@
 

map<string, string> input_map = 3;

getInputMap

@Deprecated
Map<String,String> getInputMap()

Deprecated.

Use getInputMapMap() instead.

getInputMapMap

Map<String,String> getInputMapMap()

@@  .. cpp:var:: map<string,string> input_map
@@
@@     Map from name of an input tensor on this step's model to ensemble
@@     tensor name. The ensemble tensor must have the same data type and
@@     shape as the model input. Each model input must be assigned to
@@     one ensemble tensor, but the same ensemble tensor can be assigned
@@     to multiple model inputs.
@@
 

map<string, string> input_map = 3;

getInputMapOrDefault

String getInputMapOrDefault(String key,
 String defaultValue)

@@  .. cpp:var:: map<string,string> input_map
@@
@@     Map from name of an input tensor on this step's model to ensemble
@@     tensor name. The ensemble tensor must have the same data type and
@@     shape as the model input. Each model input must be assigned to
@@     one ensemble tensor, but the same ensemble tensor can be assigned
@@     to multiple model inputs.
@@
 

map<string, string> input_map = 3;

getInputMapOrThrow

String getInputMapOrThrow(String key)

@@  .. cpp:var:: map<string,string> input_map
@@
@@     Map from name of an input tensor on this step's model to ensemble
@@     tensor name. The ensemble tensor must have the same data type and
@@     shape as the model input. Each model input must be assigned to
@@     one ensemble tensor, but the same ensemble tensor can be assigned
@@     to multiple model inputs.
@@
 

map<string, string> input_map = 3;

getOutputMapCount

int getOutputMapCount()

@@  .. cpp:var:: map<string,string> output_map
@@
@@     Map from name of an output tensor on this step's model to ensemble
@@     tensor name. The data type and shape of the ensemble tensor will
@@     be inferred from the model output. It is optional to assign all
@@     model outputs to ensemble tensors. One ensemble tensor name
@@     can appear in an output map only once.
@@
 

map<string, string> output_map = 4;

containsOutputMap

boolean containsOutputMap(String key)

@@  .. cpp:var:: map<string,string> output_map
@@
@@     Map from name of an output tensor on this step's model to ensemble
@@     tensor name. The data type and shape of the ensemble tensor will
@@     be inferred from the model output. It is optional to assign all
@@     model outputs to ensemble tensors. One ensemble tensor name
@@     can appear in an output map only once.
@@
 

map<string, string> output_map = 4;

getOutputMap

@Deprecated
Map<String,String> getOutputMap()

Deprecated.

Use getOutputMapMap() instead.

getOutputMapMap

Map<String,String> getOutputMapMap()

@@  .. cpp:var:: map<string,string> output_map
@@
@@     Map from name of an output tensor on this step's model to ensemble
@@     tensor name. The data type and shape of the ensemble tensor will
@@     be inferred from the model output. It is optional to assign all
@@     model outputs to ensemble tensors. One ensemble tensor name
@@     can appear in an output map only once.
@@
 

map<string, string> output_map = 4;

getOutputMapOrDefault

String getOutputMapOrDefault(String key,
 String defaultValue)

@@  .. cpp:var:: map<string,string> output_map
@@
@@     Map from name of an output tensor on this step's model to ensemble
@@     tensor name. The data type and shape of the ensemble tensor will
@@     be inferred from the model output. It is optional to assign all
@@     model outputs to ensemble tensors. One ensemble tensor name
@@     can appear in an output map only once.
@@
 

map<string, string> output_map = 4;

getOutputMapOrThrow

String getOutputMapOrThrow(String key)

@@  .. cpp:var:: map<string,string> output_map
@@
@@     Map from name of an output tensor on this step's model to ensemble
@@     tensor name. The data type and shape of the ensemble tensor will
@@     be inferred from the model output. It is optional to assign all
@@     model outputs to ensemble tensors. One ensemble tensor name
@@     can appear in an output map only once.
@@
 

map<string, string> output_map = 4;

getModelNamespace

String getModelNamespace()

@@  .. cpp:var:: string model_namespace
@@
@@     [RESERVED] currently this field is reserved for internal use, users
@@     must not set any value to this field to avoid unexpected behavior.
@@
 

string model_namespace = 5;

Returns:

The modelNamespace.

getModelNamespaceBytes

com.google.protobuf.ByteString getModelNamespaceBytes()

@@  .. cpp:var:: string model_namespace
@@
@@     [RESERVED] currently this field is reserved for internal use, users
@@     must not set any value to this field to avoid unexpected behavior.
@@
 

string model_namespace = 5;

Returns:

The bytes for modelNamespace.