ai.onnx.proto

Class OnnxMl.ModelProto.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

com.google.protobuf.AbstractMessage.Builder<BuilderType>

com.google.protobuf.GeneratedMessageV3.Builder<OnnxMl.ModelProto.Builder>

ai.onnx.proto.OnnxMl.ModelProto.Builder

All Implemented Interfaces:

OnnxMl.ModelProtoOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, java.lang.Cloneable

Enclosing class:

OnnxMl.ModelProto

public static final class OnnxMl.ModelProto.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<OnnxMl.ModelProto.Builder>
implements OnnxMl.ModelProtoOrBuilder

 Models
 ModelProto is a top-level file/container format for bundling a ML model and
 associating its computation graph with metadata.
 The semantics of the model are described by the associated GraphProto's.
 

Protobuf type onnx.ModelProto

Method Summary

Modifier and Type	Method and Description
OnnxMl.ModelProto.Builder	addAllMetadataProps(java.lang.Iterable<? extends OnnxMl.StringStringEntryProto> values) Named metadata values; keys should be distinct.
OnnxMl.ModelProto.Builder	addAllOpsetImport(java.lang.Iterable<? extends OnnxMl.OperatorSetIdProto> values) The OperatorSets this model relies on.
OnnxMl.ModelProto.Builder	addAllTrainingInfo(java.lang.Iterable<? extends OnnxMl.TrainingInfoProto> values) Training-specific information.
OnnxMl.ModelProto.Builder	addMetadataProps(int index, OnnxMl.StringStringEntryProto.Builder builderForValue) Named metadata values; keys should be distinct.
OnnxMl.ModelProto.Builder	addMetadataProps(int index, OnnxMl.StringStringEntryProto value) Named metadata values; keys should be distinct.
OnnxMl.ModelProto.Builder	addMetadataProps(OnnxMl.StringStringEntryProto.Builder builderForValue) Named metadata values; keys should be distinct.
OnnxMl.ModelProto.Builder	addMetadataProps(OnnxMl.StringStringEntryProto value) Named metadata values; keys should be distinct.
OnnxMl.StringStringEntryProto.Builder	addMetadataPropsBuilder() Named metadata values; keys should be distinct.
OnnxMl.StringStringEntryProto.Builder	addMetadataPropsBuilder(int index) Named metadata values; keys should be distinct.
OnnxMl.ModelProto.Builder	addOpsetImport(int index, OnnxMl.OperatorSetIdProto.Builder builderForValue) The OperatorSets this model relies on.
OnnxMl.ModelProto.Builder	addOpsetImport(int index, OnnxMl.OperatorSetIdProto value) The OperatorSets this model relies on.
OnnxMl.ModelProto.Builder	addOpsetImport(OnnxMl.OperatorSetIdProto.Builder builderForValue) The OperatorSets this model relies on.
OnnxMl.ModelProto.Builder	addOpsetImport(OnnxMl.OperatorSetIdProto value) The OperatorSets this model relies on.
OnnxMl.OperatorSetIdProto.Builder	addOpsetImportBuilder() The OperatorSets this model relies on.
OnnxMl.OperatorSetIdProto.Builder	addOpsetImportBuilder(int index) The OperatorSets this model relies on.
OnnxMl.ModelProto.Builder	addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)
OnnxMl.ModelProto.Builder	addTrainingInfo(int index, OnnxMl.TrainingInfoProto.Builder builderForValue) Training-specific information.
OnnxMl.ModelProto.Builder	addTrainingInfo(int index, OnnxMl.TrainingInfoProto value) Training-specific information.
OnnxMl.ModelProto.Builder	addTrainingInfo(OnnxMl.TrainingInfoProto.Builder builderForValue) Training-specific information.
OnnxMl.ModelProto.Builder	addTrainingInfo(OnnxMl.TrainingInfoProto value) Training-specific information.
OnnxMl.TrainingInfoProto.Builder	addTrainingInfoBuilder() Training-specific information.
OnnxMl.TrainingInfoProto.Builder	addTrainingInfoBuilder(int index) Training-specific information.
OnnxMl.ModelProto	build()
OnnxMl.ModelProto	buildPartial()
OnnxMl.ModelProto.Builder	clear()
OnnxMl.ModelProto.Builder	clearDocString() A human-readable documentation for this model.
OnnxMl.ModelProto.Builder	clearDomain() Domain name of the model.
OnnxMl.ModelProto.Builder	clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
OnnxMl.ModelProto.Builder	clearGraph() The parameterized graph that is evaluated to execute the model.
OnnxMl.ModelProto.Builder	clearIrVersion() The version of the IR this model targets.
OnnxMl.ModelProto.Builder	clearMetadataProps() Named metadata values; keys should be distinct.
OnnxMl.ModelProto.Builder	clearModelVersion() The version of the graph encoded.
OnnxMl.ModelProto.Builder	clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
OnnxMl.ModelProto.Builder	clearOpsetImport() The OperatorSets this model relies on.
OnnxMl.ModelProto.Builder	clearProducerName() The name of the framework or tool used to generate this model.
OnnxMl.ModelProto.Builder	clearProducerVersion() The version of the framework or tool used to generate this model.
OnnxMl.ModelProto.Builder	clearTrainingInfo() Training-specific information.
OnnxMl.ModelProto.Builder	clone()
OnnxMl.ModelProto	getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
java.lang.String	getDocString() A human-readable documentation for this model.
com.google.protobuf.ByteString	getDocStringBytes() A human-readable documentation for this model.
java.lang.String	getDomain() Domain name of the model.
com.google.protobuf.ByteString	getDomainBytes() Domain name of the model.
OnnxMl.GraphProto	getGraph() The parameterized graph that is evaluated to execute the model.
OnnxMl.GraphProto.Builder	getGraphBuilder() The parameterized graph that is evaluated to execute the model.
OnnxMl.GraphProtoOrBuilder	getGraphOrBuilder() The parameterized graph that is evaluated to execute the model.
long	getIrVersion() The version of the IR this model targets.
OnnxMl.StringStringEntryProto	getMetadataProps(int index) Named metadata values; keys should be distinct.
OnnxMl.StringStringEntryProto.Builder	getMetadataPropsBuilder(int index) Named metadata values; keys should be distinct.
java.util.List<OnnxMl.StringStringEntryProto.Builder>	getMetadataPropsBuilderList() Named metadata values; keys should be distinct.
int	getMetadataPropsCount() Named metadata values; keys should be distinct.
java.util.List<OnnxMl.StringStringEntryProto>	getMetadataPropsList() Named metadata values; keys should be distinct.
OnnxMl.StringStringEntryProtoOrBuilder	getMetadataPropsOrBuilder(int index) Named metadata values; keys should be distinct.
java.util.List<? extends OnnxMl.StringStringEntryProtoOrBuilder>	getMetadataPropsOrBuilderList() Named metadata values; keys should be distinct.
long	getModelVersion() The version of the graph encoded.
OnnxMl.OperatorSetIdProto	getOpsetImport(int index) The OperatorSets this model relies on.
OnnxMl.OperatorSetIdProto.Builder	getOpsetImportBuilder(int index) The OperatorSets this model relies on.
java.util.List<OnnxMl.OperatorSetIdProto.Builder>	getOpsetImportBuilderList() The OperatorSets this model relies on.
int	getOpsetImportCount() The OperatorSets this model relies on.
java.util.List<OnnxMl.OperatorSetIdProto>	getOpsetImportList() The OperatorSets this model relies on.
OnnxMl.OperatorSetIdProtoOrBuilder	getOpsetImportOrBuilder(int index) The OperatorSets this model relies on.
java.util.List<? extends OnnxMl.OperatorSetIdProtoOrBuilder>	getOpsetImportOrBuilderList() The OperatorSets this model relies on.
java.lang.String	getProducerName() The name of the framework or tool used to generate this model.
com.google.protobuf.ByteString	getProducerNameBytes() The name of the framework or tool used to generate this model.
java.lang.String	getProducerVersion() The version of the framework or tool used to generate this model.
com.google.protobuf.ByteString	getProducerVersionBytes() The version of the framework or tool used to generate this model.
OnnxMl.TrainingInfoProto	getTrainingInfo(int index) Training-specific information.
OnnxMl.TrainingInfoProto.Builder	getTrainingInfoBuilder(int index) Training-specific information.
java.util.List<OnnxMl.TrainingInfoProto.Builder>	getTrainingInfoBuilderList() Training-specific information.
int	getTrainingInfoCount() Training-specific information.
java.util.List<OnnxMl.TrainingInfoProto>	getTrainingInfoList() Training-specific information.
OnnxMl.TrainingInfoProtoOrBuilder	getTrainingInfoOrBuilder(int index) Training-specific information.
java.util.List<? extends OnnxMl.TrainingInfoProtoOrBuilder>	getTrainingInfoOrBuilderList() Training-specific information.
boolean	hasDocString() A human-readable documentation for this model.
boolean	hasDomain() Domain name of the model.
boolean	hasGraph() The parameterized graph that is evaluated to execute the model.
boolean	hasIrVersion() The version of the IR this model targets.
boolean	hasModelVersion() The version of the graph encoded.
boolean	hasProducerName() The name of the framework or tool used to generate this model.
boolean	hasProducerVersion() The version of the framework or tool used to generate this model.
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
OnnxMl.ModelProto.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
OnnxMl.ModelProto.Builder	mergeFrom(com.google.protobuf.Message other)
OnnxMl.ModelProto.Builder	mergeFrom(OnnxMl.ModelProto other)
OnnxMl.ModelProto.Builder	mergeGraph(OnnxMl.GraphProto value) The parameterized graph that is evaluated to execute the model.
OnnxMl.ModelProto.Builder	mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
OnnxMl.ModelProto.Builder	removeMetadataProps(int index) Named metadata values; keys should be distinct.
OnnxMl.ModelProto.Builder	removeOpsetImport(int index) The OperatorSets this model relies on.
OnnxMl.ModelProto.Builder	removeTrainingInfo(int index) Training-specific information.
OnnxMl.ModelProto.Builder	setDocString(java.lang.String value) A human-readable documentation for this model.
OnnxMl.ModelProto.Builder	setDocStringBytes(com.google.protobuf.ByteString value) A human-readable documentation for this model.
OnnxMl.ModelProto.Builder	setDomain(java.lang.String value) Domain name of the model.
OnnxMl.ModelProto.Builder	setDomainBytes(com.google.protobuf.ByteString value) Domain name of the model.
OnnxMl.ModelProto.Builder	setField(com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value)
OnnxMl.ModelProto.Builder	setGraph(OnnxMl.GraphProto.Builder builderForValue) The parameterized graph that is evaluated to execute the model.
OnnxMl.ModelProto.Builder	setGraph(OnnxMl.GraphProto value) The parameterized graph that is evaluated to execute the model.
OnnxMl.ModelProto.Builder	setIrVersion(long value) The version of the IR this model targets.
OnnxMl.ModelProto.Builder	setMetadataProps(int index, OnnxMl.StringStringEntryProto.Builder builderForValue) Named metadata values; keys should be distinct.
OnnxMl.ModelProto.Builder	setMetadataProps(int index, OnnxMl.StringStringEntryProto value) Named metadata values; keys should be distinct.
OnnxMl.ModelProto.Builder	setModelVersion(long value) The version of the graph encoded.
OnnxMl.ModelProto.Builder	setOpsetImport(int index, OnnxMl.OperatorSetIdProto.Builder builderForValue) The OperatorSets this model relies on.
OnnxMl.ModelProto.Builder	setOpsetImport(int index, OnnxMl.OperatorSetIdProto value) The OperatorSets this model relies on.
OnnxMl.ModelProto.Builder	setProducerName(java.lang.String value) The name of the framework or tool used to generate this model.
OnnxMl.ModelProto.Builder	setProducerNameBytes(com.google.protobuf.ByteString value) The name of the framework or tool used to generate this model.
OnnxMl.ModelProto.Builder	setProducerVersion(java.lang.String value) The version of the framework or tool used to generate this model.
OnnxMl.ModelProto.Builder	setProducerVersionBytes(com.google.protobuf.ByteString value) The version of the framework or tool used to generate this model.
OnnxMl.ModelProto.Builder	setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value)
OnnxMl.ModelProto.Builder	setTrainingInfo(int index, OnnxMl.TrainingInfoProto.Builder builderForValue) Training-specific information.
OnnxMl.ModelProto.Builder	setTrainingInfo(int index, OnnxMl.TrainingInfoProto value) Training-specific information.
OnnxMl.ModelProto.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, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, newBuilderForField, onBuilt, onChanged, setUnknownFieldsProto3

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

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

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

addAll, addAll, 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.MessageOrBuilder

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

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

mergeFrom

Method Detail

getDescriptor

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

internalGetFieldAccessorTable

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

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<OnnxMl.ModelProto.Builder>

clear

public OnnxMl.ModelProto.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<OnnxMl.ModelProto.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<OnnxMl.ModelProto.Builder>

getDefaultInstanceForType

public OnnxMl.ModelProto getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public OnnxMl.ModelProto build()

Specified by:

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

Specified by:

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

buildPartial

public OnnxMl.ModelProto buildPartial()

Specified by:

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

Specified by:

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

clone

public OnnxMl.ModelProto.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<OnnxMl.ModelProto.Builder>

setField

public OnnxMl.ModelProto.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                          java.lang.Object value)

Specified by:

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

Overrides:

setField in class com.google.protobuf.GeneratedMessageV3.Builder<OnnxMl.ModelProto.Builder>

clearField

public OnnxMl.ModelProto.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<OnnxMl.ModelProto.Builder>

clearOneof

public OnnxMl.ModelProto.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<OnnxMl.ModelProto.Builder>

setRepeatedField

public OnnxMl.ModelProto.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                  int index,
                                                  java.lang.Object value)

Specified by:

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

Overrides:

setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<OnnxMl.ModelProto.Builder>

addRepeatedField

public OnnxMl.ModelProto.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                  java.lang.Object value)

Specified by:

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

Overrides:

addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<OnnxMl.ModelProto.Builder>

mergeFrom

public OnnxMl.ModelProto.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<OnnxMl.ModelProto.Builder>

mergeFrom

public OnnxMl.ModelProto.Builder mergeFrom(OnnxMl.ModelProto other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<OnnxMl.ModelProto.Builder>

mergeFrom

public OnnxMl.ModelProto.Builder mergeFrom(com.google.protobuf.CodedInputStream input,
                                           com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                    throws java.io.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<OnnxMl.ModelProto.Builder>

Throws:

java.io.IOException

hasIrVersion

public boolean hasIrVersion()

 The version of the IR this model targets. See Version enum above.
 This field MUST be present.
 

optional int64 ir_version = 1;

Specified by:

hasIrVersion in interface OnnxMl.ModelProtoOrBuilder

Returns:

Whether the irVersion field is set.

getIrVersion

public long getIrVersion()

 The version of the IR this model targets. See Version enum above.
 This field MUST be present.
 

optional int64 ir_version = 1;

Specified by:

getIrVersion in interface OnnxMl.ModelProtoOrBuilder

Returns:

The irVersion.

setIrVersion

public OnnxMl.ModelProto.Builder setIrVersion(long value)

 The version of the IR this model targets. See Version enum above.
 This field MUST be present.
 

optional int64 ir_version = 1;

Parameters:

value - The irVersion to set.

Returns:

This builder for chaining.

clearIrVersion

public OnnxMl.ModelProto.Builder clearIrVersion()

 The version of the IR this model targets. See Version enum above.
 This field MUST be present.
 

optional int64 ir_version = 1;

Returns:

This builder for chaining.

getOpsetImportList

public java.util.List<OnnxMl.OperatorSetIdProto> getOpsetImportList()

 The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
 

repeated .onnx.OperatorSetIdProto opset_import = 8;

Specified by:

getOpsetImportList in interface OnnxMl.ModelProtoOrBuilder

getOpsetImportCount

public int getOpsetImportCount()

 The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
 

repeated .onnx.OperatorSetIdProto opset_import = 8;

Specified by:

getOpsetImportCount in interface OnnxMl.ModelProtoOrBuilder

getOpsetImport

public OnnxMl.OperatorSetIdProto getOpsetImport(int index)

 The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
 

repeated .onnx.OperatorSetIdProto opset_import = 8;

Specified by:

getOpsetImport in interface OnnxMl.ModelProtoOrBuilder

setOpsetImport

public OnnxMl.ModelProto.Builder setOpsetImport(int index,
                                                OnnxMl.OperatorSetIdProto value)

 The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
 

repeated .onnx.OperatorSetIdProto opset_import = 8;

setOpsetImport

public OnnxMl.ModelProto.Builder setOpsetImport(int index,
                                                OnnxMl.OperatorSetIdProto.Builder builderForValue)

 The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
 

repeated .onnx.OperatorSetIdProto opset_import = 8;

addOpsetImport

public OnnxMl.ModelProto.Builder addOpsetImport(OnnxMl.OperatorSetIdProto value)

 The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
 

repeated .onnx.OperatorSetIdProto opset_import = 8;

addOpsetImport

public OnnxMl.ModelProto.Builder addOpsetImport(int index,
                                                OnnxMl.OperatorSetIdProto value)

 The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
 

repeated .onnx.OperatorSetIdProto opset_import = 8;

addOpsetImport

public OnnxMl.ModelProto.Builder addOpsetImport(OnnxMl.OperatorSetIdProto.Builder builderForValue)

 The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
 

repeated .onnx.OperatorSetIdProto opset_import = 8;

addOpsetImport

public OnnxMl.ModelProto.Builder addOpsetImport(int index,
                                                OnnxMl.OperatorSetIdProto.Builder builderForValue)

 The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
 

repeated .onnx.OperatorSetIdProto opset_import = 8;

addAllOpsetImport

public OnnxMl.ModelProto.Builder addAllOpsetImport(java.lang.Iterable<? extends OnnxMl.OperatorSetIdProto> values)

 The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
 

repeated .onnx.OperatorSetIdProto opset_import = 8;

clearOpsetImport

public OnnxMl.ModelProto.Builder clearOpsetImport()

 The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
 

repeated .onnx.OperatorSetIdProto opset_import = 8;

removeOpsetImport

public OnnxMl.ModelProto.Builder removeOpsetImport(int index)

 The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
 

repeated .onnx.OperatorSetIdProto opset_import = 8;

getOpsetImportBuilder

public OnnxMl.OperatorSetIdProto.Builder getOpsetImportBuilder(int index)

 The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
 

repeated .onnx.OperatorSetIdProto opset_import = 8;

getOpsetImportOrBuilder

public OnnxMl.OperatorSetIdProtoOrBuilder getOpsetImportOrBuilder(int index)

 The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
 

repeated .onnx.OperatorSetIdProto opset_import = 8;

Specified by:

getOpsetImportOrBuilder in interface OnnxMl.ModelProtoOrBuilder

getOpsetImportOrBuilderList

public java.util.List<? extends OnnxMl.OperatorSetIdProtoOrBuilder> getOpsetImportOrBuilderList()

 The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
 

repeated .onnx.OperatorSetIdProto opset_import = 8;

Specified by:

getOpsetImportOrBuilderList in interface OnnxMl.ModelProtoOrBuilder

addOpsetImportBuilder

public OnnxMl.OperatorSetIdProto.Builder addOpsetImportBuilder()

 The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
 

repeated .onnx.OperatorSetIdProto opset_import = 8;

addOpsetImportBuilder

public OnnxMl.OperatorSetIdProto.Builder addOpsetImportBuilder(int index)

 The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
 

repeated .onnx.OperatorSetIdProto opset_import = 8;

getOpsetImportBuilderList

public java.util.List<OnnxMl.OperatorSetIdProto.Builder> getOpsetImportBuilderList()

 The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
 

repeated .onnx.OperatorSetIdProto opset_import = 8;

hasProducerName

public boolean hasProducerName()

 The name of the framework or tool used to generate this model.
 This field SHOULD be present to indicate which implementation/tool/framework
 emitted the model.
 

optional string producer_name = 2;

Specified by:

hasProducerName in interface OnnxMl.ModelProtoOrBuilder

Returns:

Whether the producerName field is set.

getProducerName

public java.lang.String getProducerName()

 The name of the framework or tool used to generate this model.
 This field SHOULD be present to indicate which implementation/tool/framework
 emitted the model.
 

optional string producer_name = 2;

Specified by:

getProducerName in interface OnnxMl.ModelProtoOrBuilder

Returns:

The producerName.

getProducerNameBytes

public com.google.protobuf.ByteString getProducerNameBytes()

 The name of the framework or tool used to generate this model.
 This field SHOULD be present to indicate which implementation/tool/framework
 emitted the model.
 

optional string producer_name = 2;

Specified by:

getProducerNameBytes in interface OnnxMl.ModelProtoOrBuilder

Returns:

The bytes for producerName.

setProducerName

public OnnxMl.ModelProto.Builder setProducerName(java.lang.String value)

 The name of the framework or tool used to generate this model.
 This field SHOULD be present to indicate which implementation/tool/framework
 emitted the model.
 

optional string producer_name = 2;

Parameters:

value - The producerName to set.

Returns:

This builder for chaining.

clearProducerName

public OnnxMl.ModelProto.Builder clearProducerName()

 The name of the framework or tool used to generate this model.
 This field SHOULD be present to indicate which implementation/tool/framework
 emitted the model.
 

optional string producer_name = 2;

Returns:

This builder for chaining.

setProducerNameBytes

public OnnxMl.ModelProto.Builder setProducerNameBytes(com.google.protobuf.ByteString value)

 The name of the framework or tool used to generate this model.
 This field SHOULD be present to indicate which implementation/tool/framework
 emitted the model.
 

optional string producer_name = 2;

Parameters:

value - The bytes for producerName to set.

Returns:

This builder for chaining.

hasProducerVersion

public boolean hasProducerVersion()

 The version of the framework or tool used to generate this model.
 This field SHOULD be present to indicate which implementation/tool/framework
 emitted the model.
 

optional string producer_version = 3;

Specified by:

hasProducerVersion in interface OnnxMl.ModelProtoOrBuilder

Returns:

Whether the producerVersion field is set.

getProducerVersion

public java.lang.String getProducerVersion()

 The version of the framework or tool used to generate this model.
 This field SHOULD be present to indicate which implementation/tool/framework
 emitted the model.
 

optional string producer_version = 3;

Specified by:

getProducerVersion in interface OnnxMl.ModelProtoOrBuilder

Returns:

The producerVersion.

getProducerVersionBytes

public com.google.protobuf.ByteString getProducerVersionBytes()

 The version of the framework or tool used to generate this model.
 This field SHOULD be present to indicate which implementation/tool/framework
 emitted the model.
 

optional string producer_version = 3;

Specified by:

getProducerVersionBytes in interface OnnxMl.ModelProtoOrBuilder

Returns:

The bytes for producerVersion.

setProducerVersion

public OnnxMl.ModelProto.Builder setProducerVersion(java.lang.String value)

 The version of the framework or tool used to generate this model.
 This field SHOULD be present to indicate which implementation/tool/framework
 emitted the model.
 

optional string producer_version = 3;

Parameters:

value - The producerVersion to set.

Returns:

This builder for chaining.

clearProducerVersion

public OnnxMl.ModelProto.Builder clearProducerVersion()

 The version of the framework or tool used to generate this model.
 This field SHOULD be present to indicate which implementation/tool/framework
 emitted the model.
 

optional string producer_version = 3;

Returns:

This builder for chaining.

setProducerVersionBytes

public OnnxMl.ModelProto.Builder setProducerVersionBytes(com.google.protobuf.ByteString value)

 The version of the framework or tool used to generate this model.
 This field SHOULD be present to indicate which implementation/tool/framework
 emitted the model.
 

optional string producer_version = 3;

Parameters:

value - The bytes for producerVersion to set.

Returns:

This builder for chaining.

hasDomain

public boolean hasDomain()

 Domain name of the model.
 We use reverse domain names as name space indicators. For example:
 `com.facebook.fair` or `com.microsoft.cognitiveservices`
 Together with `model_version` and GraphProto.name, this forms the unique identity of
 the graph.
 

optional string domain = 4;

Specified by:

hasDomain in interface OnnxMl.ModelProtoOrBuilder

Returns:

Whether the domain field is set.

getDomain

public java.lang.String getDomain()

 Domain name of the model.
 We use reverse domain names as name space indicators. For example:
 `com.facebook.fair` or `com.microsoft.cognitiveservices`
 Together with `model_version` and GraphProto.name, this forms the unique identity of
 the graph.
 

optional string domain = 4;

Specified by:

getDomain in interface OnnxMl.ModelProtoOrBuilder

Returns:

The domain.

getDomainBytes

public com.google.protobuf.ByteString getDomainBytes()

 Domain name of the model.
 We use reverse domain names as name space indicators. For example:
 `com.facebook.fair` or `com.microsoft.cognitiveservices`
 Together with `model_version` and GraphProto.name, this forms the unique identity of
 the graph.
 

optional string domain = 4;

Specified by:

getDomainBytes in interface OnnxMl.ModelProtoOrBuilder

Returns:

The bytes for domain.

setDomain

public OnnxMl.ModelProto.Builder setDomain(java.lang.String value)

 Domain name of the model.
 We use reverse domain names as name space indicators. For example:
 `com.facebook.fair` or `com.microsoft.cognitiveservices`
 Together with `model_version` and GraphProto.name, this forms the unique identity of
 the graph.
 

optional string domain = 4;

Parameters:

value - The domain to set.

Returns:

This builder for chaining.

clearDomain

public OnnxMl.ModelProto.Builder clearDomain()

 Domain name of the model.
 We use reverse domain names as name space indicators. For example:
 `com.facebook.fair` or `com.microsoft.cognitiveservices`
 Together with `model_version` and GraphProto.name, this forms the unique identity of
 the graph.
 

optional string domain = 4;

Returns:

This builder for chaining.

setDomainBytes

public OnnxMl.ModelProto.Builder setDomainBytes(com.google.protobuf.ByteString value)

 Domain name of the model.
 We use reverse domain names as name space indicators. For example:
 `com.facebook.fair` or `com.microsoft.cognitiveservices`
 Together with `model_version` and GraphProto.name, this forms the unique identity of
 the graph.
 

optional string domain = 4;

Parameters:

value - The bytes for domain to set.

Returns:

This builder for chaining.

hasModelVersion

public boolean hasModelVersion()

 The version of the graph encoded. See Version enum below.
 

optional int64 model_version = 5;

Specified by:

hasModelVersion in interface OnnxMl.ModelProtoOrBuilder

Returns:

Whether the modelVersion field is set.

getModelVersion

public long getModelVersion()

 The version of the graph encoded. See Version enum below.
 

optional int64 model_version = 5;

Specified by:

getModelVersion in interface OnnxMl.ModelProtoOrBuilder

Returns:

The modelVersion.

setModelVersion

public OnnxMl.ModelProto.Builder setModelVersion(long value)

 The version of the graph encoded. See Version enum below.
 

optional int64 model_version = 5;

Parameters:

value - The modelVersion to set.

Returns:

This builder for chaining.

clearModelVersion

public OnnxMl.ModelProto.Builder clearModelVersion()

 The version of the graph encoded. See Version enum below.
 

optional int64 model_version = 5;

Returns:

This builder for chaining.

hasDocString

public boolean hasDocString()

 A human-readable documentation for this model. Markdown is allowed.
 

optional string doc_string = 6;

Specified by:

hasDocString in interface OnnxMl.ModelProtoOrBuilder

Returns:

Whether the docString field is set.

getDocString

public java.lang.String getDocString()

 A human-readable documentation for this model. Markdown is allowed.
 

optional string doc_string = 6;

Specified by:

getDocString in interface OnnxMl.ModelProtoOrBuilder

Returns:

The docString.

getDocStringBytes

public com.google.protobuf.ByteString getDocStringBytes()

 A human-readable documentation for this model. Markdown is allowed.
 

optional string doc_string = 6;

Specified by:

getDocStringBytes in interface OnnxMl.ModelProtoOrBuilder

Returns:

The bytes for docString.

setDocString

public OnnxMl.ModelProto.Builder setDocString(java.lang.String value)

 A human-readable documentation for this model. Markdown is allowed.
 

optional string doc_string = 6;

Parameters:

value - The docString to set.

Returns:

This builder for chaining.

clearDocString

public OnnxMl.ModelProto.Builder clearDocString()

 A human-readable documentation for this model. Markdown is allowed.
 

optional string doc_string = 6;

Returns:

This builder for chaining.

setDocStringBytes

public OnnxMl.ModelProto.Builder setDocStringBytes(com.google.protobuf.ByteString value)

 A human-readable documentation for this model. Markdown is allowed.
 

optional string doc_string = 6;

Parameters:

value - The bytes for docString to set.

Returns:

This builder for chaining.

hasGraph

public boolean hasGraph()

 The parameterized graph that is evaluated to execute the model.
 

optional .onnx.GraphProto graph = 7;

Specified by:

hasGraph in interface OnnxMl.ModelProtoOrBuilder

Returns:

Whether the graph field is set.

getGraph

public OnnxMl.GraphProto getGraph()

 The parameterized graph that is evaluated to execute the model.
 

optional .onnx.GraphProto graph = 7;

Specified by:

getGraph in interface OnnxMl.ModelProtoOrBuilder

Returns:

The graph.

setGraph

public OnnxMl.ModelProto.Builder setGraph(OnnxMl.GraphProto value)

 The parameterized graph that is evaluated to execute the model.
 

optional .onnx.GraphProto graph = 7;

setGraph

public OnnxMl.ModelProto.Builder setGraph(OnnxMl.GraphProto.Builder builderForValue)

 The parameterized graph that is evaluated to execute the model.
 

optional .onnx.GraphProto graph = 7;

mergeGraph

public OnnxMl.ModelProto.Builder mergeGraph(OnnxMl.GraphProto value)

 The parameterized graph that is evaluated to execute the model.
 

optional .onnx.GraphProto graph = 7;

clearGraph

public OnnxMl.ModelProto.Builder clearGraph()

 The parameterized graph that is evaluated to execute the model.
 

optional .onnx.GraphProto graph = 7;

getGraphBuilder

public OnnxMl.GraphProto.Builder getGraphBuilder()

 The parameterized graph that is evaluated to execute the model.
 

optional .onnx.GraphProto graph = 7;

getGraphOrBuilder

public OnnxMl.GraphProtoOrBuilder getGraphOrBuilder()

 The parameterized graph that is evaluated to execute the model.
 

optional .onnx.GraphProto graph = 7;

Specified by:

getGraphOrBuilder in interface OnnxMl.ModelProtoOrBuilder

getMetadataPropsList

public java.util.List<OnnxMl.StringStringEntryProto> getMetadataPropsList()

 Named metadata values; keys should be distinct.
 

repeated .onnx.StringStringEntryProto metadata_props = 14;

Specified by:

getMetadataPropsList in interface OnnxMl.ModelProtoOrBuilder

getMetadataPropsCount

public int getMetadataPropsCount()

 Named metadata values; keys should be distinct.
 

repeated .onnx.StringStringEntryProto metadata_props = 14;

Specified by:

getMetadataPropsCount in interface OnnxMl.ModelProtoOrBuilder

getMetadataProps

public OnnxMl.StringStringEntryProto getMetadataProps(int index)

 Named metadata values; keys should be distinct.
 

repeated .onnx.StringStringEntryProto metadata_props = 14;

Specified by:

getMetadataProps in interface OnnxMl.ModelProtoOrBuilder

setMetadataProps

public OnnxMl.ModelProto.Builder setMetadataProps(int index,
                                                  OnnxMl.StringStringEntryProto value)

 Named metadata values; keys should be distinct.
 

repeated .onnx.StringStringEntryProto metadata_props = 14;

setMetadataProps

public OnnxMl.ModelProto.Builder setMetadataProps(int index,
                                                  OnnxMl.StringStringEntryProto.Builder builderForValue)

 Named metadata values; keys should be distinct.
 

repeated .onnx.StringStringEntryProto metadata_props = 14;

addMetadataProps

public OnnxMl.ModelProto.Builder addMetadataProps(OnnxMl.StringStringEntryProto value)

 Named metadata values; keys should be distinct.
 

repeated .onnx.StringStringEntryProto metadata_props = 14;

addMetadataProps

public OnnxMl.ModelProto.Builder addMetadataProps(int index,
                                                  OnnxMl.StringStringEntryProto value)

 Named metadata values; keys should be distinct.
 

repeated .onnx.StringStringEntryProto metadata_props = 14;

addMetadataProps

public OnnxMl.ModelProto.Builder addMetadataProps(OnnxMl.StringStringEntryProto.Builder builderForValue)

 Named metadata values; keys should be distinct.
 

repeated .onnx.StringStringEntryProto metadata_props = 14;

addMetadataProps

public OnnxMl.ModelProto.Builder addMetadataProps(int index,
                                                  OnnxMl.StringStringEntryProto.Builder builderForValue)

 Named metadata values; keys should be distinct.
 

repeated .onnx.StringStringEntryProto metadata_props = 14;

addAllMetadataProps

public OnnxMl.ModelProto.Builder addAllMetadataProps(java.lang.Iterable<? extends OnnxMl.StringStringEntryProto> values)

 Named metadata values; keys should be distinct.
 

repeated .onnx.StringStringEntryProto metadata_props = 14;

clearMetadataProps

public OnnxMl.ModelProto.Builder clearMetadataProps()

 Named metadata values; keys should be distinct.
 

repeated .onnx.StringStringEntryProto metadata_props = 14;

removeMetadataProps

public OnnxMl.ModelProto.Builder removeMetadataProps(int index)

 Named metadata values; keys should be distinct.
 

repeated .onnx.StringStringEntryProto metadata_props = 14;

getMetadataPropsBuilder

public OnnxMl.StringStringEntryProto.Builder getMetadataPropsBuilder(int index)

 Named metadata values; keys should be distinct.
 

repeated .onnx.StringStringEntryProto metadata_props = 14;

getMetadataPropsOrBuilder

public OnnxMl.StringStringEntryProtoOrBuilder getMetadataPropsOrBuilder(int index)

 Named metadata values; keys should be distinct.
 

repeated .onnx.StringStringEntryProto metadata_props = 14;

Specified by:

getMetadataPropsOrBuilder in interface OnnxMl.ModelProtoOrBuilder

getMetadataPropsOrBuilderList

public java.util.List<? extends OnnxMl.StringStringEntryProtoOrBuilder> getMetadataPropsOrBuilderList()

 Named metadata values; keys should be distinct.
 

repeated .onnx.StringStringEntryProto metadata_props = 14;

Specified by:

getMetadataPropsOrBuilderList in interface OnnxMl.ModelProtoOrBuilder

addMetadataPropsBuilder

public OnnxMl.StringStringEntryProto.Builder addMetadataPropsBuilder()

 Named metadata values; keys should be distinct.
 

repeated .onnx.StringStringEntryProto metadata_props = 14;

addMetadataPropsBuilder

public OnnxMl.StringStringEntryProto.Builder addMetadataPropsBuilder(int index)

 Named metadata values; keys should be distinct.
 

repeated .onnx.StringStringEntryProto metadata_props = 14;

getMetadataPropsBuilderList

public java.util.List<OnnxMl.StringStringEntryProto.Builder> getMetadataPropsBuilderList()

 Named metadata values; keys should be distinct.
 

repeated .onnx.StringStringEntryProto metadata_props = 14;

getTrainingInfoList

public java.util.List<OnnxMl.TrainingInfoProto> getTrainingInfoList()

 Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
 

repeated .onnx.TrainingInfoProto training_info = 20;

Specified by:

getTrainingInfoList in interface OnnxMl.ModelProtoOrBuilder

getTrainingInfoCount

public int getTrainingInfoCount()

 Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
 

repeated .onnx.TrainingInfoProto training_info = 20;

Specified by:

getTrainingInfoCount in interface OnnxMl.ModelProtoOrBuilder

getTrainingInfo

public OnnxMl.TrainingInfoProto getTrainingInfo(int index)

 Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
 

repeated .onnx.TrainingInfoProto training_info = 20;

Specified by:

getTrainingInfo in interface OnnxMl.ModelProtoOrBuilder

setTrainingInfo

public OnnxMl.ModelProto.Builder setTrainingInfo(int index,
                                                 OnnxMl.TrainingInfoProto value)

 Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
 

repeated .onnx.TrainingInfoProto training_info = 20;

setTrainingInfo

public OnnxMl.ModelProto.Builder setTrainingInfo(int index,
                                                 OnnxMl.TrainingInfoProto.Builder builderForValue)

 Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
 

repeated .onnx.TrainingInfoProto training_info = 20;

addTrainingInfo

public OnnxMl.ModelProto.Builder addTrainingInfo(OnnxMl.TrainingInfoProto value)

 Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
 

repeated .onnx.TrainingInfoProto training_info = 20;

addTrainingInfo

public OnnxMl.ModelProto.Builder addTrainingInfo(int index,
                                                 OnnxMl.TrainingInfoProto value)

 Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
 

repeated .onnx.TrainingInfoProto training_info = 20;

addTrainingInfo

public OnnxMl.ModelProto.Builder addTrainingInfo(OnnxMl.TrainingInfoProto.Builder builderForValue)

 Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
 

repeated .onnx.TrainingInfoProto training_info = 20;

addTrainingInfo

public OnnxMl.ModelProto.Builder addTrainingInfo(int index,
                                                 OnnxMl.TrainingInfoProto.Builder builderForValue)

 Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
 

repeated .onnx.TrainingInfoProto training_info = 20;

addAllTrainingInfo

public OnnxMl.ModelProto.Builder addAllTrainingInfo(java.lang.Iterable<? extends OnnxMl.TrainingInfoProto> values)

 Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
 

repeated .onnx.TrainingInfoProto training_info = 20;

clearTrainingInfo

public OnnxMl.ModelProto.Builder clearTrainingInfo()

 Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
 

repeated .onnx.TrainingInfoProto training_info = 20;

removeTrainingInfo

public OnnxMl.ModelProto.Builder removeTrainingInfo(int index)

 Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
 

repeated .onnx.TrainingInfoProto training_info = 20;

getTrainingInfoBuilder

public OnnxMl.TrainingInfoProto.Builder getTrainingInfoBuilder(int index)

 Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
 

repeated .onnx.TrainingInfoProto training_info = 20;

getTrainingInfoOrBuilder

public OnnxMl.TrainingInfoProtoOrBuilder getTrainingInfoOrBuilder(int index)

 Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
 

repeated .onnx.TrainingInfoProto training_info = 20;

Specified by:

getTrainingInfoOrBuilder in interface OnnxMl.ModelProtoOrBuilder

getTrainingInfoOrBuilderList

public java.util.List<? extends OnnxMl.TrainingInfoProtoOrBuilder> getTrainingInfoOrBuilderList()

 Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
 

repeated .onnx.TrainingInfoProto training_info = 20;

Specified by:

getTrainingInfoOrBuilderList in interface OnnxMl.ModelProtoOrBuilder

addTrainingInfoBuilder

public OnnxMl.TrainingInfoProto.Builder addTrainingInfoBuilder()

 Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
 

repeated .onnx.TrainingInfoProto training_info = 20;

addTrainingInfoBuilder

public OnnxMl.TrainingInfoProto.Builder addTrainingInfoBuilder(int index)

 Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
 

repeated .onnx.TrainingInfoProto training_info = 20;

getTrainingInfoBuilderList

public java.util.List<OnnxMl.TrainingInfoProto.Builder> getTrainingInfoBuilderList()

 Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
 

repeated .onnx.TrainingInfoProto training_info = 20;

setUnknownFields

public final OnnxMl.ModelProto.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<OnnxMl.ModelProto.Builder>

mergeUnknownFields

public final OnnxMl.ModelProto.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<OnnxMl.ModelProto.Builder>