Package inference

Class GrpcPredictV2.ModelInferRequest.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

com.google.protobuf.AbstractMessage.Builder<GrpcPredictV2.ModelInferRequest.Builder>

com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.ModelInferRequest.Builder>

inference.GrpcPredictV2.ModelInferRequest.Builder

All Implemented Interfaces:

com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, GrpcPredictV2.ModelInferRequestOrBuilder, Cloneable

Enclosing class:

GrpcPredictV2.ModelInferRequest

public static final class GrpcPredictV2.ModelInferRequest.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.ModelInferRequest.Builder>
implements GrpcPredictV2.ModelInferRequestOrBuilder

Protobuf type inference.ModelInferRequest

Method Summary

Modifier and Type	Method	Description
GrpcPredictV2.ModelInferRequest.Builder	addAllInputs(Iterable<? extends GrpcPredictV2.ModelInferRequest.InferInputTensor> values)	The input tensors for the inference.
GrpcPredictV2.ModelInferRequest.Builder	addAllOutputs(Iterable<? extends GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor> values)	The requested output tensors for the inference.
GrpcPredictV2.ModelInferRequest.Builder	addAllRawInputContents(Iterable<? extends com.google.protobuf.ByteString> values)	The data contained in an input tensor can be represented in "raw" bytes form or in the repeated type that matches the tensor's data type.
GrpcPredictV2.ModelInferRequest.Builder	addInputs(int index, GrpcPredictV2.ModelInferRequest.InferInputTensor value)	The input tensors for the inference.
GrpcPredictV2.ModelInferRequest.Builder	addInputs(int index, GrpcPredictV2.ModelInferRequest.InferInputTensor.Builder builderForValue)	The input tensors for the inference.
GrpcPredictV2.ModelInferRequest.Builder	addInputs(GrpcPredictV2.ModelInferRequest.InferInputTensor value)	The input tensors for the inference.
GrpcPredictV2.ModelInferRequest.Builder	addInputs(GrpcPredictV2.ModelInferRequest.InferInputTensor.Builder builderForValue)	The input tensors for the inference.
GrpcPredictV2.ModelInferRequest.InferInputTensor.Builder	addInputsBuilder()	The input tensors for the inference.
GrpcPredictV2.ModelInferRequest.InferInputTensor.Builder	addInputsBuilder(int index)	The input tensors for the inference.
GrpcPredictV2.ModelInferRequest.Builder	addOutputs(int index, GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor value)	The requested output tensors for the inference.
GrpcPredictV2.ModelInferRequest.Builder	addOutputs(int index, GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor.Builder builderForValue)	The requested output tensors for the inference.
GrpcPredictV2.ModelInferRequest.Builder	addOutputs(GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor value)	The requested output tensors for the inference.
GrpcPredictV2.ModelInferRequest.Builder	addOutputs(GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor.Builder builderForValue)	The requested output tensors for the inference.
GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor.Builder	addOutputsBuilder()	The requested output tensors for the inference.
GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor.Builder	addOutputsBuilder(int index)	The requested output tensors for the inference.
GrpcPredictV2.ModelInferRequest.Builder	addRawInputContents(com.google.protobuf.ByteString value)	The data contained in an input tensor can be represented in "raw" bytes form or in the repeated type that matches the tensor's data type.
GrpcPredictV2.ModelInferRequest.Builder	addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
GrpcPredictV2.ModelInferRequest	build()
GrpcPredictV2.ModelInferRequest	buildPartial()
GrpcPredictV2.ModelInferRequest.Builder	clear()
GrpcPredictV2.ModelInferRequest.Builder	clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
GrpcPredictV2.ModelInferRequest.Builder	clearId()	Optional identifier for the request.
GrpcPredictV2.ModelInferRequest.Builder	clearInputs()	The input tensors for the inference.
GrpcPredictV2.ModelInferRequest.Builder	clearModelName()	The name of the model to use for inferencing.
GrpcPredictV2.ModelInferRequest.Builder	clearModelVersion()	The version of the model to use for inference.
GrpcPredictV2.ModelInferRequest.Builder	clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
GrpcPredictV2.ModelInferRequest.Builder	clearOutputs()	The requested output tensors for the inference.
GrpcPredictV2.ModelInferRequest.Builder	clearParameters()
GrpcPredictV2.ModelInferRequest.Builder	clearRawInputContents()	The data contained in an input tensor can be represented in "raw" bytes form or in the repeated type that matches the tensor's data type.
GrpcPredictV2.ModelInferRequest.Builder	clone()
boolean	containsParameters(String key)	Optional inference parameters.
GrpcPredictV2.ModelInferRequest	getDefaultInstanceForType()
static final com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
String	getId()	Optional identifier for the request.
com.google.protobuf.ByteString	getIdBytes()	Optional identifier for the request.
GrpcPredictV2.ModelInferRequest.InferInputTensor	getInputs(int index)	The input tensors for the inference.
GrpcPredictV2.ModelInferRequest.InferInputTensor.Builder	getInputsBuilder(int index)	The input tensors for the inference.
List<GrpcPredictV2.ModelInferRequest.InferInputTensor.Builder>	getInputsBuilderList()	The input tensors for the inference.
int	getInputsCount()	The input tensors for the inference.
List<GrpcPredictV2.ModelInferRequest.InferInputTensor>	getInputsList()	The input tensors for the inference.
GrpcPredictV2.ModelInferRequest.InferInputTensorOrBuilder	getInputsOrBuilder(int index)	The input tensors for the inference.
List<? extends GrpcPredictV2.ModelInferRequest.InferInputTensorOrBuilder>	getInputsOrBuilderList()	The input tensors for the inference.
String	getModelName()	The name of the model to use for inferencing.
com.google.protobuf.ByteString	getModelNameBytes()	The name of the model to use for inferencing.
String	getModelVersion()	The version of the model to use for inference.
com.google.protobuf.ByteString	getModelVersionBytes()	The version of the model to use for inference.
Map<String,GrpcPredictV2.InferParameter>	getMutableParameters()	Deprecated.
GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor	getOutputs(int index)	The requested output tensors for the inference.
GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor.Builder	getOutputsBuilder(int index)	The requested output tensors for the inference.
List<GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor.Builder>	getOutputsBuilderList()	The requested output tensors for the inference.
int	getOutputsCount()	The requested output tensors for the inference.
List<GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor>	getOutputsList()	The requested output tensors for the inference.
GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensorOrBuilder	getOutputsOrBuilder(int index)	The requested output tensors for the inference.
List<? extends GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensorOrBuilder>	getOutputsOrBuilderList()	The requested output tensors for the inference.
Map<String,GrpcPredictV2.InferParameter>	getParameters()	Deprecated.
int	getParametersCount()	Optional inference parameters.
Map<String,GrpcPredictV2.InferParameter>	getParametersMap()	Optional inference parameters.
GrpcPredictV2.InferParameter	getParametersOrDefault(String key, GrpcPredictV2.InferParameter defaultValue)	Optional inference parameters.
GrpcPredictV2.InferParameter	getParametersOrThrow(String key)	Optional inference parameters.
com.google.protobuf.ByteString	getRawInputContents(int index)	The data contained in an input tensor can be represented in "raw" bytes form or in the repeated type that matches the tensor's data type.
int	getRawInputContentsCount()	The data contained in an input tensor can be represented in "raw" bytes form or in the repeated type that matches the tensor's data type.
List<com.google.protobuf.ByteString>	getRawInputContentsList()	The data contained in an input tensor can be represented in "raw" bytes form or in the repeated type that matches the tensor's data type.
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
protected com.google.protobuf.MapFieldReflectionAccessor	internalGetMapFieldReflection(int number)
protected com.google.protobuf.MapFieldReflectionAccessor	internalGetMutableMapFieldReflection(int number)
final boolean	isInitialized()
GrpcPredictV2.ModelInferRequest.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
GrpcPredictV2.ModelInferRequest.Builder	mergeFrom(com.google.protobuf.Message other)
GrpcPredictV2.ModelInferRequest.Builder	mergeFrom(GrpcPredictV2.ModelInferRequest other)
final GrpcPredictV2.ModelInferRequest.Builder	mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
GrpcPredictV2.ModelInferRequest.Builder	putAllParameters(Map<String,GrpcPredictV2.InferParameter> values)	Optional inference parameters.
GrpcPredictV2.ModelInferRequest.Builder	putParameters(String key, GrpcPredictV2.InferParameter value)	Optional inference parameters.
GrpcPredictV2.InferParameter.Builder	putParametersBuilderIfAbsent(String key)	Optional inference parameters.
GrpcPredictV2.ModelInferRequest.Builder	removeInputs(int index)	The input tensors for the inference.
GrpcPredictV2.ModelInferRequest.Builder	removeOutputs(int index)	The requested output tensors for the inference.
GrpcPredictV2.ModelInferRequest.Builder	removeParameters(String key)	Optional inference parameters.
GrpcPredictV2.ModelInferRequest.Builder	setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
GrpcPredictV2.ModelInferRequest.Builder	setId(String value)	Optional identifier for the request.
GrpcPredictV2.ModelInferRequest.Builder	setIdBytes(com.google.protobuf.ByteString value)	Optional identifier for the request.
GrpcPredictV2.ModelInferRequest.Builder	setInputs(int index, GrpcPredictV2.ModelInferRequest.InferInputTensor value)	The input tensors for the inference.
GrpcPredictV2.ModelInferRequest.Builder	setInputs(int index, GrpcPredictV2.ModelInferRequest.InferInputTensor.Builder builderForValue)	The input tensors for the inference.
GrpcPredictV2.ModelInferRequest.Builder	setModelName(String value)	The name of the model to use for inferencing.
GrpcPredictV2.ModelInferRequest.Builder	setModelNameBytes(com.google.protobuf.ByteString value)	The name of the model to use for inferencing.
GrpcPredictV2.ModelInferRequest.Builder	setModelVersion(String value)	The version of the model to use for inference.
GrpcPredictV2.ModelInferRequest.Builder	setModelVersionBytes(com.google.protobuf.ByteString value)	The version of the model to use for inference.
GrpcPredictV2.ModelInferRequest.Builder	setOutputs(int index, GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor value)	The requested output tensors for the inference.
GrpcPredictV2.ModelInferRequest.Builder	setOutputs(int index, GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor.Builder builderForValue)	The requested output tensors for the inference.
GrpcPredictV2.ModelInferRequest.Builder	setRawInputContents(int index, com.google.protobuf.ByteString value)	The data contained in an input tensor can be represented in "raw" bytes form or in the repeated type that matches the tensor's data type.
GrpcPredictV2.ModelInferRequest.Builder	setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
final GrpcPredictV2.ModelInferRequest.Builder	setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Methods inherited from class com.google.protobuf.GeneratedMessageV3.Builder

getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3

Methods inherited from class com.google.protobuf.AbstractMessage.Builder

findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder

addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.Message.Builder

mergeDelimitedFrom, mergeDelimitedFrom

Methods inherited from interface com.google.protobuf.MessageLite.Builder

mergeFrom

Methods inherited from interface com.google.protobuf.MessageOrBuilder

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

Method Details

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetMapFieldReflection

protected com.google.protobuf.MapFieldReflectionAccessor internalGetMapFieldReflection(int number)

Overrides:

internalGetMapFieldReflection in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.ModelInferRequest.Builder>

internalGetMutableMapFieldReflection

protected com.google.protobuf.MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)

Overrides:

internalGetMutableMapFieldReflection in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.ModelInferRequest.Builder>

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.ModelInferRequest.Builder>

clear

public GrpcPredictV2.ModelInferRequest.Builder clear()

Specified by:

clear in interface com.google.protobuf.Message.Builder

Specified by:

clear in interface com.google.protobuf.MessageLite.Builder

Overrides:

clear in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.ModelInferRequest.Builder>

getDescriptorForType

public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()

Specified by:

getDescriptorForType in interface com.google.protobuf.Message.Builder

Specified by:

getDescriptorForType in interface com.google.protobuf.MessageOrBuilder

Overrides:

getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.ModelInferRequest.Builder>

getDefaultInstanceForType

public GrpcPredictV2.ModelInferRequest getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public GrpcPredictV2.ModelInferRequest build()

Specified by:

build in interface com.google.protobuf.Message.Builder

Specified by:

build in interface com.google.protobuf.MessageLite.Builder

buildPartial

public GrpcPredictV2.ModelInferRequest buildPartial()

Specified by:

buildPartial in interface com.google.protobuf.Message.Builder

Specified by:

buildPartial in interface com.google.protobuf.MessageLite.Builder

clone

public GrpcPredictV2.ModelInferRequest.Builder clone()

Specified by:

clone in interface com.google.protobuf.Message.Builder

Specified by:

clone in interface com.google.protobuf.MessageLite.Builder

Overrides:

clone in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.ModelInferRequest.Builder>

setField

public GrpcPredictV2.ModelInferRequest.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field,
 Object value)

Specified by:

setField in interface com.google.protobuf.Message.Builder

Overrides:

setField in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.ModelInferRequest.Builder>

clearField

public GrpcPredictV2.ModelInferRequest.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)

Specified by:

clearField in interface com.google.protobuf.Message.Builder

Overrides:

clearField in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.ModelInferRequest.Builder>

clearOneof

public GrpcPredictV2.ModelInferRequest.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)

Specified by:

clearOneof in interface com.google.protobuf.Message.Builder

Overrides:

clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.ModelInferRequest.Builder>

setRepeatedField

public GrpcPredictV2.ModelInferRequest.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
 int index,
 Object value)

Specified by:

setRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.ModelInferRequest.Builder>

addRepeatedField

public GrpcPredictV2.ModelInferRequest.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
 Object value)

Specified by:

addRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.ModelInferRequest.Builder>

mergeFrom

public GrpcPredictV2.ModelInferRequest.Builder mergeFrom(com.google.protobuf.Message other)

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<GrpcPredictV2.ModelInferRequest.Builder>

mergeFrom

public GrpcPredictV2.ModelInferRequest.Builder mergeFrom(GrpcPredictV2.ModelInferRequest other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.ModelInferRequest.Builder>

mergeFrom

public GrpcPredictV2.ModelInferRequest.Builder mergeFrom(com.google.protobuf.CodedInputStream input,
 com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                                  throws IOException

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Specified by:

mergeFrom in interface com.google.protobuf.MessageLite.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<GrpcPredictV2.ModelInferRequest.Builder>

Throws:

IOException

getModelName

public String getModelName()

 The name of the model to use for inferencing.
 

string model_name = 1;

Specified by:

getModelName in interface GrpcPredictV2.ModelInferRequestOrBuilder

Returns:

The modelName.

getModelNameBytes

public com.google.protobuf.ByteString getModelNameBytes()

 The name of the model to use for inferencing.
 

string model_name = 1;

Specified by:

getModelNameBytes in interface GrpcPredictV2.ModelInferRequestOrBuilder

Returns:

The bytes for modelName.

setModelName

public GrpcPredictV2.ModelInferRequest.Builder setModelName(String value)

 The name of the model to use for inferencing.
 

string model_name = 1;

Parameters:

value - The modelName to set.

Returns:

This builder for chaining.

clearModelName

public GrpcPredictV2.ModelInferRequest.Builder clearModelName()

 The name of the model to use for inferencing.
 

string model_name = 1;

Returns:

This builder for chaining.

setModelNameBytes

public GrpcPredictV2.ModelInferRequest.Builder setModelNameBytes(com.google.protobuf.ByteString value)

 The name of the model to use for inferencing.
 

string model_name = 1;

Parameters:

value - The bytes for modelName to set.

Returns:

This builder for chaining.

getModelVersion

public String getModelVersion()

 The version of the model to use for inference. If not given the
 server will choose a version based on the model and internal policy.
 

string model_version = 2;

Specified by:

getModelVersion in interface GrpcPredictV2.ModelInferRequestOrBuilder

Returns:

The modelVersion.

getModelVersionBytes

public com.google.protobuf.ByteString getModelVersionBytes()

 The version of the model to use for inference. If not given the
 server will choose a version based on the model and internal policy.
 

string model_version = 2;

Specified by:

getModelVersionBytes in interface GrpcPredictV2.ModelInferRequestOrBuilder

Returns:

The bytes for modelVersion.

setModelVersion

public GrpcPredictV2.ModelInferRequest.Builder setModelVersion(String value)

 The version of the model to use for inference. If not given the
 server will choose a version based on the model and internal policy.
 

string model_version = 2;

Parameters:

value - The modelVersion to set.

Returns:

This builder for chaining.

clearModelVersion

public GrpcPredictV2.ModelInferRequest.Builder clearModelVersion()

 The version of the model to use for inference. If not given the
 server will choose a version based on the model and internal policy.
 

string model_version = 2;

Returns:

This builder for chaining.

setModelVersionBytes

public GrpcPredictV2.ModelInferRequest.Builder setModelVersionBytes(com.google.protobuf.ByteString value)

 The version of the model to use for inference. If not given the
 server will choose a version based on the model and internal policy.
 

string model_version = 2;

Parameters:

value - The bytes for modelVersion to set.

Returns:

This builder for chaining.

getId

public String getId()

 Optional identifier for the request. If specified will be
 returned in the response.
 

string id = 3;

Specified by:

getId in interface GrpcPredictV2.ModelInferRequestOrBuilder

Returns:

The id.

getIdBytes

public com.google.protobuf.ByteString getIdBytes()

 Optional identifier for the request. If specified will be
 returned in the response.
 

string id = 3;

Specified by:

getIdBytes in interface GrpcPredictV2.ModelInferRequestOrBuilder

Returns:

The bytes for id.

setId

public GrpcPredictV2.ModelInferRequest.Builder setId(String value)

 Optional identifier for the request. If specified will be
 returned in the response.
 

string id = 3;

Parameters:

value - The id to set.

Returns:

This builder for chaining.

clearId

public GrpcPredictV2.ModelInferRequest.Builder clearId()

 Optional identifier for the request. If specified will be
 returned in the response.
 

string id = 3;

Returns:

This builder for chaining.

setIdBytes

public GrpcPredictV2.ModelInferRequest.Builder setIdBytes(com.google.protobuf.ByteString value)

 Optional identifier for the request. If specified will be
 returned in the response.
 

string id = 3;

Parameters:

value - The bytes for id to set.

Returns:

This builder for chaining.

getParametersCount

public int getParametersCount()

Description copied from interface: GrpcPredictV2.ModelInferRequestOrBuilder

 Optional inference parameters.
 

map<string, .inference.InferParameter> parameters = 4;

Specified by:

getParametersCount in interface GrpcPredictV2.ModelInferRequestOrBuilder

containsParameters

public boolean containsParameters(String key)

 Optional inference parameters.
 

map<string, .inference.InferParameter> parameters = 4;

Specified by:

containsParameters in interface GrpcPredictV2.ModelInferRequestOrBuilder

getParameters

@Deprecated
public Map<String,GrpcPredictV2.InferParameter> getParameters()

Deprecated.

Use getParametersMap() instead.

Specified by:

getParameters in interface GrpcPredictV2.ModelInferRequestOrBuilder

getParametersMap

public Map<String,GrpcPredictV2.InferParameter> getParametersMap()

 Optional inference parameters.
 

map<string, .inference.InferParameter> parameters = 4;

Specified by:

getParametersMap in interface GrpcPredictV2.ModelInferRequestOrBuilder

getParametersOrDefault

public GrpcPredictV2.InferParameter getParametersOrDefault(String key,
 GrpcPredictV2.InferParameter defaultValue)

 Optional inference parameters.
 

map<string, .inference.InferParameter> parameters = 4;

Specified by:

getParametersOrDefault in interface GrpcPredictV2.ModelInferRequestOrBuilder

getParametersOrThrow

public GrpcPredictV2.InferParameter getParametersOrThrow(String key)

 Optional inference parameters.
 

map<string, .inference.InferParameter> parameters = 4;

Specified by:

getParametersOrThrow in interface GrpcPredictV2.ModelInferRequestOrBuilder

clearParameters

public GrpcPredictV2.ModelInferRequest.Builder clearParameters()

removeParameters

public GrpcPredictV2.ModelInferRequest.Builder removeParameters(String key)

 Optional inference parameters.
 

map<string, .inference.InferParameter> parameters = 4;

getMutableParameters

@Deprecated
public Map<String,GrpcPredictV2.InferParameter> getMutableParameters()

Deprecated.

Use alternate mutation accessors instead.

putParameters

public GrpcPredictV2.ModelInferRequest.Builder putParameters(String key,
 GrpcPredictV2.InferParameter value)

 Optional inference parameters.
 

map<string, .inference.InferParameter> parameters = 4;

putAllParameters

public GrpcPredictV2.ModelInferRequest.Builder putAllParameters(Map<String,GrpcPredictV2.InferParameter> values)

 Optional inference parameters.
 

map<string, .inference.InferParameter> parameters = 4;

putParametersBuilderIfAbsent

public GrpcPredictV2.InferParameter.Builder putParametersBuilderIfAbsent(String key)

 Optional inference parameters.
 

map<string, .inference.InferParameter> parameters = 4;

getInputsList

public List<GrpcPredictV2.ModelInferRequest.InferInputTensor> getInputsList()

 The input tensors for the inference.
 

repeated .inference.ModelInferRequest.InferInputTensor inputs = 5;

Specified by:

getInputsList in interface GrpcPredictV2.ModelInferRequestOrBuilder

getInputsCount

public int getInputsCount()

 The input tensors for the inference.
 

repeated .inference.ModelInferRequest.InferInputTensor inputs = 5;

Specified by:

getInputsCount in interface GrpcPredictV2.ModelInferRequestOrBuilder

getInputs

public GrpcPredictV2.ModelInferRequest.InferInputTensor getInputs(int index)

 The input tensors for the inference.
 

repeated .inference.ModelInferRequest.InferInputTensor inputs = 5;

Specified by:

getInputs in interface GrpcPredictV2.ModelInferRequestOrBuilder

setInputs

public GrpcPredictV2.ModelInferRequest.Builder setInputs(int index,
 GrpcPredictV2.ModelInferRequest.InferInputTensor value)

 The input tensors for the inference.
 

repeated .inference.ModelInferRequest.InferInputTensor inputs = 5;

setInputs

public GrpcPredictV2.ModelInferRequest.Builder setInputs(int index,
 GrpcPredictV2.ModelInferRequest.InferInputTensor.Builder builderForValue)

 The input tensors for the inference.
 

repeated .inference.ModelInferRequest.InferInputTensor inputs = 5;

addInputs

public GrpcPredictV2.ModelInferRequest.Builder addInputs(GrpcPredictV2.ModelInferRequest.InferInputTensor value)

 The input tensors for the inference.
 

repeated .inference.ModelInferRequest.InferInputTensor inputs = 5;

addInputs

public GrpcPredictV2.ModelInferRequest.Builder addInputs(int index,
 GrpcPredictV2.ModelInferRequest.InferInputTensor value)

 The input tensors for the inference.
 

repeated .inference.ModelInferRequest.InferInputTensor inputs = 5;

addInputs

public GrpcPredictV2.ModelInferRequest.Builder addInputs(GrpcPredictV2.ModelInferRequest.InferInputTensor.Builder builderForValue)

 The input tensors for the inference.
 

repeated .inference.ModelInferRequest.InferInputTensor inputs = 5;

addInputs

public GrpcPredictV2.ModelInferRequest.Builder addInputs(int index,
 GrpcPredictV2.ModelInferRequest.InferInputTensor.Builder builderForValue)

 The input tensors for the inference.
 

repeated .inference.ModelInferRequest.InferInputTensor inputs = 5;

addAllInputs

public GrpcPredictV2.ModelInferRequest.Builder addAllInputs(Iterable<? extends GrpcPredictV2.ModelInferRequest.InferInputTensor> values)

 The input tensors for the inference.
 

repeated .inference.ModelInferRequest.InferInputTensor inputs = 5;

clearInputs

public GrpcPredictV2.ModelInferRequest.Builder clearInputs()

 The input tensors for the inference.
 

repeated .inference.ModelInferRequest.InferInputTensor inputs = 5;

removeInputs

public GrpcPredictV2.ModelInferRequest.Builder removeInputs(int index)

 The input tensors for the inference.
 

repeated .inference.ModelInferRequest.InferInputTensor inputs = 5;

getInputsBuilder

public GrpcPredictV2.ModelInferRequest.InferInputTensor.Builder getInputsBuilder(int index)

 The input tensors for the inference.
 

repeated .inference.ModelInferRequest.InferInputTensor inputs = 5;

getInputsOrBuilder

public GrpcPredictV2.ModelInferRequest.InferInputTensorOrBuilder getInputsOrBuilder(int index)

 The input tensors for the inference.
 

repeated .inference.ModelInferRequest.InferInputTensor inputs = 5;

Specified by:

getInputsOrBuilder in interface GrpcPredictV2.ModelInferRequestOrBuilder

getInputsOrBuilderList

public List<? extends GrpcPredictV2.ModelInferRequest.InferInputTensorOrBuilder> getInputsOrBuilderList()

 The input tensors for the inference.
 

repeated .inference.ModelInferRequest.InferInputTensor inputs = 5;

Specified by:

getInputsOrBuilderList in interface GrpcPredictV2.ModelInferRequestOrBuilder

addInputsBuilder

public GrpcPredictV2.ModelInferRequest.InferInputTensor.Builder addInputsBuilder()

 The input tensors for the inference.
 

repeated .inference.ModelInferRequest.InferInputTensor inputs = 5;

addInputsBuilder

public GrpcPredictV2.ModelInferRequest.InferInputTensor.Builder addInputsBuilder(int index)

 The input tensors for the inference.
 

repeated .inference.ModelInferRequest.InferInputTensor inputs = 5;

getInputsBuilderList

public List<GrpcPredictV2.ModelInferRequest.InferInputTensor.Builder> getInputsBuilderList()

 The input tensors for the inference.
 

repeated .inference.ModelInferRequest.InferInputTensor inputs = 5;

getOutputsList

public List<GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor> getOutputsList()

 The requested output tensors for the inference. Optional, if not
 specified all outputs produced by the model will be returned.
 

repeated .inference.ModelInferRequest.InferRequestedOutputTensor outputs = 6;

Specified by:

getOutputsList in interface GrpcPredictV2.ModelInferRequestOrBuilder

getOutputsCount

public int getOutputsCount()

 The requested output tensors for the inference. Optional, if not
 specified all outputs produced by the model will be returned.
 

repeated .inference.ModelInferRequest.InferRequestedOutputTensor outputs = 6;

Specified by:

getOutputsCount in interface GrpcPredictV2.ModelInferRequestOrBuilder

getOutputs

public GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor getOutputs(int index)

 The requested output tensors for the inference. Optional, if not
 specified all outputs produced by the model will be returned.
 

repeated .inference.ModelInferRequest.InferRequestedOutputTensor outputs = 6;

Specified by:

getOutputs in interface GrpcPredictV2.ModelInferRequestOrBuilder

setOutputs

public GrpcPredictV2.ModelInferRequest.Builder setOutputs(int index,
 GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor value)

 The requested output tensors for the inference. Optional, if not
 specified all outputs produced by the model will be returned.
 

repeated .inference.ModelInferRequest.InferRequestedOutputTensor outputs = 6;

setOutputs

public GrpcPredictV2.ModelInferRequest.Builder setOutputs(int index,
 GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor.Builder builderForValue)

 The requested output tensors for the inference. Optional, if not
 specified all outputs produced by the model will be returned.
 

repeated .inference.ModelInferRequest.InferRequestedOutputTensor outputs = 6;

addOutputs

public GrpcPredictV2.ModelInferRequest.Builder addOutputs(GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor value)

 The requested output tensors for the inference. Optional, if not
 specified all outputs produced by the model will be returned.
 

repeated .inference.ModelInferRequest.InferRequestedOutputTensor outputs = 6;

addOutputs

public GrpcPredictV2.ModelInferRequest.Builder addOutputs(int index,
 GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor value)

 The requested output tensors for the inference. Optional, if not
 specified all outputs produced by the model will be returned.
 

repeated .inference.ModelInferRequest.InferRequestedOutputTensor outputs = 6;

addOutputs

public GrpcPredictV2.ModelInferRequest.Builder addOutputs(GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor.Builder builderForValue)

 The requested output tensors for the inference. Optional, if not
 specified all outputs produced by the model will be returned.
 

repeated .inference.ModelInferRequest.InferRequestedOutputTensor outputs = 6;

addOutputs

public GrpcPredictV2.ModelInferRequest.Builder addOutputs(int index,
 GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor.Builder builderForValue)

 The requested output tensors for the inference. Optional, if not
 specified all outputs produced by the model will be returned.
 

repeated .inference.ModelInferRequest.InferRequestedOutputTensor outputs = 6;

addAllOutputs

public GrpcPredictV2.ModelInferRequest.Builder addAllOutputs(Iterable<? extends GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor> values)

 The requested output tensors for the inference. Optional, if not
 specified all outputs produced by the model will be returned.
 

repeated .inference.ModelInferRequest.InferRequestedOutputTensor outputs = 6;

clearOutputs

public GrpcPredictV2.ModelInferRequest.Builder clearOutputs()

 The requested output tensors for the inference. Optional, if not
 specified all outputs produced by the model will be returned.
 

repeated .inference.ModelInferRequest.InferRequestedOutputTensor outputs = 6;

removeOutputs

public GrpcPredictV2.ModelInferRequest.Builder removeOutputs(int index)

 The requested output tensors for the inference. Optional, if not
 specified all outputs produced by the model will be returned.
 

repeated .inference.ModelInferRequest.InferRequestedOutputTensor outputs = 6;

getOutputsBuilder

public GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor.Builder getOutputsBuilder(int index)

 The requested output tensors for the inference. Optional, if not
 specified all outputs produced by the model will be returned.
 

repeated .inference.ModelInferRequest.InferRequestedOutputTensor outputs = 6;

getOutputsOrBuilder

public GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensorOrBuilder getOutputsOrBuilder(int index)

 The requested output tensors for the inference. Optional, if not
 specified all outputs produced by the model will be returned.
 

repeated .inference.ModelInferRequest.InferRequestedOutputTensor outputs = 6;

Specified by:

getOutputsOrBuilder in interface GrpcPredictV2.ModelInferRequestOrBuilder

getOutputsOrBuilderList

public List<? extends GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensorOrBuilder> getOutputsOrBuilderList()

 The requested output tensors for the inference. Optional, if not
 specified all outputs produced by the model will be returned.
 

repeated .inference.ModelInferRequest.InferRequestedOutputTensor outputs = 6;

Specified by:

getOutputsOrBuilderList in interface GrpcPredictV2.ModelInferRequestOrBuilder

addOutputsBuilder

public GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor.Builder addOutputsBuilder()

 The requested output tensors for the inference. Optional, if not
 specified all outputs produced by the model will be returned.
 

repeated .inference.ModelInferRequest.InferRequestedOutputTensor outputs = 6;

addOutputsBuilder

public GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor.Builder addOutputsBuilder(int index)

 The requested output tensors for the inference. Optional, if not
 specified all outputs produced by the model will be returned.
 

repeated .inference.ModelInferRequest.InferRequestedOutputTensor outputs = 6;

getOutputsBuilderList

public List<GrpcPredictV2.ModelInferRequest.InferRequestedOutputTensor.Builder> getOutputsBuilderList()

 The requested output tensors for the inference. Optional, if not
 specified all outputs produced by the model will be returned.
 

repeated .inference.ModelInferRequest.InferRequestedOutputTensor outputs = 6;

getRawInputContentsList

public List<com.google.protobuf.ByteString> getRawInputContentsList()

 The data contained in an input tensor can be represented in "raw"
 bytes form or in the repeated type that matches the tensor's data
 type. To use the raw representation 'raw_input_contents' must be
 initialized with data for each tensor in the same order as
 'inputs'. For each tensor, the size of this content must match
 what is expected by the tensor's shape and data type. The raw
 data must be the flattened, one-dimensional, row-major order of
 the tensor elements without any stride or padding between the
 elements. Note that the FP16 and BF16 data types must be represented as
 raw content as there is no specific data type for a 16-bit float type.

 If this field is specified then InferInputTensor::contents must
 not be specified for any input tensor.
 

repeated bytes raw_input_contents = 7;

Specified by:

getRawInputContentsList in interface GrpcPredictV2.ModelInferRequestOrBuilder

Returns:

A list containing the rawInputContents.

getRawInputContentsCount

public int getRawInputContentsCount()

 The data contained in an input tensor can be represented in "raw"
 bytes form or in the repeated type that matches the tensor's data
 type. To use the raw representation 'raw_input_contents' must be
 initialized with data for each tensor in the same order as
 'inputs'. For each tensor, the size of this content must match
 what is expected by the tensor's shape and data type. The raw
 data must be the flattened, one-dimensional, row-major order of
 the tensor elements without any stride or padding between the
 elements. Note that the FP16 and BF16 data types must be represented as
 raw content as there is no specific data type for a 16-bit float type.

 If this field is specified then InferInputTensor::contents must
 not be specified for any input tensor.
 

repeated bytes raw_input_contents = 7;

Specified by:

getRawInputContentsCount in interface GrpcPredictV2.ModelInferRequestOrBuilder

Returns:

The count of rawInputContents.

getRawInputContents

public com.google.protobuf.ByteString getRawInputContents(int index)

 The data contained in an input tensor can be represented in "raw"
 bytes form or in the repeated type that matches the tensor's data
 type. To use the raw representation 'raw_input_contents' must be
 initialized with data for each tensor in the same order as
 'inputs'. For each tensor, the size of this content must match
 what is expected by the tensor's shape and data type. The raw
 data must be the flattened, one-dimensional, row-major order of
 the tensor elements without any stride or padding between the
 elements. Note that the FP16 and BF16 data types must be represented as
 raw content as there is no specific data type for a 16-bit float type.

 If this field is specified then InferInputTensor::contents must
 not be specified for any input tensor.
 

repeated bytes raw_input_contents = 7;

Specified by:

getRawInputContents in interface GrpcPredictV2.ModelInferRequestOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The rawInputContents at the given index.

setRawInputContents

public GrpcPredictV2.ModelInferRequest.Builder setRawInputContents(int index,
 com.google.protobuf.ByteString value)

 The data contained in an input tensor can be represented in "raw"
 bytes form or in the repeated type that matches the tensor's data
 type. To use the raw representation 'raw_input_contents' must be
 initialized with data for each tensor in the same order as
 'inputs'. For each tensor, the size of this content must match
 what is expected by the tensor's shape and data type. The raw
 data must be the flattened, one-dimensional, row-major order of
 the tensor elements without any stride or padding between the
 elements. Note that the FP16 and BF16 data types must be represented as
 raw content as there is no specific data type for a 16-bit float type.

 If this field is specified then InferInputTensor::contents must
 not be specified for any input tensor.
 

repeated bytes raw_input_contents = 7;

Parameters:

index - The index to set the value at.

value - The rawInputContents to set.

Returns:

This builder for chaining.

addRawInputContents

public GrpcPredictV2.ModelInferRequest.Builder addRawInputContents(com.google.protobuf.ByteString value)

 The data contained in an input tensor can be represented in "raw"
 bytes form or in the repeated type that matches the tensor's data
 type. To use the raw representation 'raw_input_contents' must be
 initialized with data for each tensor in the same order as
 'inputs'. For each tensor, the size of this content must match
 what is expected by the tensor's shape and data type. The raw
 data must be the flattened, one-dimensional, row-major order of
 the tensor elements without any stride or padding between the
 elements. Note that the FP16 and BF16 data types must be represented as
 raw content as there is no specific data type for a 16-bit float type.

 If this field is specified then InferInputTensor::contents must
 not be specified for any input tensor.
 

repeated bytes raw_input_contents = 7;

Parameters:

value - The rawInputContents to add.

Returns:

This builder for chaining.

addAllRawInputContents

public GrpcPredictV2.ModelInferRequest.Builder addAllRawInputContents(Iterable<? extends com.google.protobuf.ByteString> values)

 The data contained in an input tensor can be represented in "raw"
 bytes form or in the repeated type that matches the tensor's data
 type. To use the raw representation 'raw_input_contents' must be
 initialized with data for each tensor in the same order as
 'inputs'. For each tensor, the size of this content must match
 what is expected by the tensor's shape and data type. The raw
 data must be the flattened, one-dimensional, row-major order of
 the tensor elements without any stride or padding between the
 elements. Note that the FP16 and BF16 data types must be represented as
 raw content as there is no specific data type for a 16-bit float type.

 If this field is specified then InferInputTensor::contents must
 not be specified for any input tensor.
 

repeated bytes raw_input_contents = 7;

Parameters:

values - The rawInputContents to add.

Returns:

This builder for chaining.

clearRawInputContents

public GrpcPredictV2.ModelInferRequest.Builder clearRawInputContents()

 The data contained in an input tensor can be represented in "raw"
 bytes form or in the repeated type that matches the tensor's data
 type. To use the raw representation 'raw_input_contents' must be
 initialized with data for each tensor in the same order as
 'inputs'. For each tensor, the size of this content must match
 what is expected by the tensor's shape and data type. The raw
 data must be the flattened, one-dimensional, row-major order of
 the tensor elements without any stride or padding between the
 elements. Note that the FP16 and BF16 data types must be represented as
 raw content as there is no specific data type for a 16-bit float type.

 If this field is specified then InferInputTensor::contents must
 not be specified for any input tensor.
 

repeated bytes raw_input_contents = 7;

Returns:

This builder for chaining.

setUnknownFields

public final GrpcPredictV2.ModelInferRequest.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

setUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.ModelInferRequest.Builder>

mergeUnknownFields

public final GrpcPredictV2.ModelInferRequest.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

mergeUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<GrpcPredictV2.ModelInferRequest.Builder>