Package onnx

Class Onnx.ModelProto.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>
onnx.Onnx.ModelProto.Builder
All Implemented Interfaces:
com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable, Onnx.ModelProtoOrBuilder
Enclosing class:
Onnx.ModelProto
public static final class Onnx.ModelProto.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder> implements Onnx.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 Details

    • 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<Onnx.ModelProto.Builder>

    • clear

      public Onnx.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<Onnx.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<Onnx.ModelProto.Builder>

    • getDefaultInstanceForType

      public Onnx.ModelProto getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

    • build

      public Onnx.ModelProto build()
      Specified by:
      build in interface com.google.protobuf.Message.Builder
      Specified by:
      build in interface com.google.protobuf.MessageLite.Builder

    • buildPartial

      public Onnx.ModelProto buildPartial()
      Specified by:
      buildPartial in interface com.google.protobuf.Message.Builder
      Specified by:
      buildPartial in interface com.google.protobuf.MessageLite.Builder

    • clone

      public Onnx.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<Onnx.ModelProto.Builder>

    • setField

      public Onnx.ModelProto.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<Onnx.ModelProto.Builder>

    • clearField

      public Onnx.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<Onnx.ModelProto.Builder>

    • clearOneof

      public Onnx.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<Onnx.ModelProto.Builder>

    • setRepeatedField

      public Onnx.ModelProto.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<Onnx.ModelProto.Builder>

    • addRepeatedField

      public Onnx.ModelProto.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<Onnx.ModelProto.Builder>

    • mergeFrom

      public Onnx.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<Onnx.ModelProto.Builder>

    • mergeFrom

      public Onnx.ModelProto.Builder mergeFrom(Onnx.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<Onnx.ModelProto.Builder>

    • mergeFrom

      public Onnx.ModelProto.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<Onnx.ModelProto.Builder>
      Throws:
      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 Onnx.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 Onnx.ModelProtoOrBuilder
      Returns:
      The irVersion.

    • setIrVersion

      public Onnx.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 Onnx.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 List<Onnx.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 Onnx.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 Onnx.ModelProtoOrBuilder

    • getOpsetImport

      public Onnx.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 Onnx.ModelProtoOrBuilder

    • setOpsetImport

      public Onnx.ModelProto.Builder setOpsetImport(int index, Onnx.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 Onnx.ModelProto.Builder setOpsetImport(int index, Onnx.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 Onnx.ModelProto.Builder addOpsetImport(Onnx.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 Onnx.ModelProto.Builder addOpsetImport(int index, Onnx.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 Onnx.ModelProto.Builder addOpsetImport(Onnx.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 Onnx.ModelProto.Builder addOpsetImport(int index, Onnx.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 Onnx.ModelProto.Builder addAllOpsetImport(Iterable<? extends Onnx.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 Onnx.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 Onnx.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 Onnx.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 Onnx.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 Onnx.ModelProtoOrBuilder

    • getOpsetImportOrBuilderList

      public List<? extends Onnx.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 Onnx.ModelProtoOrBuilder

    • addOpsetImportBuilder

      public Onnx.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 Onnx.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 List<Onnx.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 Onnx.ModelProtoOrBuilder
      Returns:
      Whether the producerName field is set.

    • getProducerName

      public 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 Onnx.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 Onnx.ModelProtoOrBuilder
      Returns:
      The bytes for producerName.

    • setProducerName

      public Onnx.ModelProto.Builder setProducerName(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 Onnx.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 Onnx.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 Onnx.ModelProtoOrBuilder
      Returns:
      Whether the producerVersion field is set.

    • getProducerVersion

      public 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 Onnx.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 Onnx.ModelProtoOrBuilder
      Returns:
      The bytes for producerVersion.

    • setProducerVersion

      public Onnx.ModelProto.Builder setProducerVersion(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 Onnx.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 Onnx.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 Onnx.ModelProtoOrBuilder
      Returns:
      Whether the domain field is set.

    • getDomain

      public 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 Onnx.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 Onnx.ModelProtoOrBuilder
      Returns:
      The bytes for domain.

    • setDomain

      public Onnx.ModelProto.Builder setDomain(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 Onnx.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 Onnx.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 Onnx.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 Onnx.ModelProtoOrBuilder
      Returns:
      The modelVersion.

    • setModelVersion

      public Onnx.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 Onnx.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 Onnx.ModelProtoOrBuilder
      Returns:
      Whether the docString field is set.

    • getDocString

      public String getDocString()
       A human-readable documentation for this model. Markdown is allowed.
      optional string doc_string = 6;
      Specified by:
      getDocString in interface Onnx.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 Onnx.ModelProtoOrBuilder
      Returns:
      The bytes for docString.

    • setDocString

      public Onnx.ModelProto.Builder setDocString(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 Onnx.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 Onnx.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 Onnx.ModelProtoOrBuilder
      Returns:
      Whether the graph field is set.

    • getGraph

      public Onnx.GraphProto getGraph()
       The parameterized graph that is evaluated to execute the model.
      optional .onnx.GraphProto graph = 7;
      Specified by:
      getGraph in interface Onnx.ModelProtoOrBuilder
      Returns:
      The graph.

    • setGraph

      public Onnx.ModelProto.Builder setGraph(Onnx.GraphProto value)
       The parameterized graph that is evaluated to execute the model.
      optional .onnx.GraphProto graph = 7;

    • setGraph

      public Onnx.ModelProto.Builder setGraph(Onnx.GraphProto.Builder builderForValue)
       The parameterized graph that is evaluated to execute the model.
      optional .onnx.GraphProto graph = 7;

    • mergeGraph

      public Onnx.ModelProto.Builder mergeGraph(Onnx.GraphProto value)
       The parameterized graph that is evaluated to execute the model.
      optional .onnx.GraphProto graph = 7;

    • clearGraph

      public Onnx.ModelProto.Builder clearGraph()
       The parameterized graph that is evaluated to execute the model.
      optional .onnx.GraphProto graph = 7;

    • getGraphBuilder

      public Onnx.GraphProto.Builder getGraphBuilder()
       The parameterized graph that is evaluated to execute the model.
      optional .onnx.GraphProto graph = 7;

    • getGraphOrBuilder

      public Onnx.GraphProtoOrBuilder getGraphOrBuilder()
       The parameterized graph that is evaluated to execute the model.
      optional .onnx.GraphProto graph = 7;
      Specified by:
      getGraphOrBuilder in interface Onnx.ModelProtoOrBuilder

    • getMetadataPropsList

      public List<Onnx.StringStringEntryProto> getMetadataPropsList()
       Named metadata values; keys should be distinct.
      repeated .onnx.StringStringEntryProto metadata_props = 14;
      Specified by:
      getMetadataPropsList in interface Onnx.ModelProtoOrBuilder

    • getMetadataPropsCount

      public int getMetadataPropsCount()
       Named metadata values; keys should be distinct.
      repeated .onnx.StringStringEntryProto metadata_props = 14;
      Specified by:
      getMetadataPropsCount in interface Onnx.ModelProtoOrBuilder

    • getMetadataProps

      public Onnx.StringStringEntryProto getMetadataProps(int index)
       Named metadata values; keys should be distinct.
      repeated .onnx.StringStringEntryProto metadata_props = 14;
      Specified by:
      getMetadataProps in interface Onnx.ModelProtoOrBuilder

    • setMetadataProps

      public Onnx.ModelProto.Builder setMetadataProps(int index, Onnx.StringStringEntryProto value)
       Named metadata values; keys should be distinct.
      repeated .onnx.StringStringEntryProto metadata_props = 14;

    • setMetadataProps

      public Onnx.ModelProto.Builder setMetadataProps(int index, Onnx.StringStringEntryProto.Builder builderForValue)
       Named metadata values; keys should be distinct.
      repeated .onnx.StringStringEntryProto metadata_props = 14;

    • addMetadataProps

      public Onnx.ModelProto.Builder addMetadataProps(Onnx.StringStringEntryProto value)
       Named metadata values; keys should be distinct.
      repeated .onnx.StringStringEntryProto metadata_props = 14;

    • addMetadataProps

      public Onnx.ModelProto.Builder addMetadataProps(int index, Onnx.StringStringEntryProto value)
       Named metadata values; keys should be distinct.
      repeated .onnx.StringStringEntryProto metadata_props = 14;

    • addMetadataProps

      public Onnx.ModelProto.Builder addMetadataProps(Onnx.StringStringEntryProto.Builder builderForValue)
       Named metadata values; keys should be distinct.
      repeated .onnx.StringStringEntryProto metadata_props = 14;

    • addMetadataProps

      public Onnx.ModelProto.Builder addMetadataProps(int index, Onnx.StringStringEntryProto.Builder builderForValue)
       Named metadata values; keys should be distinct.
      repeated .onnx.StringStringEntryProto metadata_props = 14;

    • addAllMetadataProps

      public Onnx.ModelProto.Builder addAllMetadataProps(Iterable<? extends Onnx.StringStringEntryProto> values)
       Named metadata values; keys should be distinct.
      repeated .onnx.StringStringEntryProto metadata_props = 14;

    • clearMetadataProps

      public Onnx.ModelProto.Builder clearMetadataProps()
       Named metadata values; keys should be distinct.
      repeated .onnx.StringStringEntryProto metadata_props = 14;

    • removeMetadataProps

      public Onnx.ModelProto.Builder removeMetadataProps(int index)
       Named metadata values; keys should be distinct.
      repeated .onnx.StringStringEntryProto metadata_props = 14;

    • getMetadataPropsBuilder

      public Onnx.StringStringEntryProto.Builder getMetadataPropsBuilder(int index)
       Named metadata values; keys should be distinct.
      repeated .onnx.StringStringEntryProto metadata_props = 14;

    • getMetadataPropsOrBuilder

      public Onnx.StringStringEntryProtoOrBuilder getMetadataPropsOrBuilder(int index)
       Named metadata values; keys should be distinct.
      repeated .onnx.StringStringEntryProto metadata_props = 14;
      Specified by:
      getMetadataPropsOrBuilder in interface Onnx.ModelProtoOrBuilder

    • getMetadataPropsOrBuilderList

      public List<? extends Onnx.StringStringEntryProtoOrBuilder> getMetadataPropsOrBuilderList()
       Named metadata values; keys should be distinct.
      repeated .onnx.StringStringEntryProto metadata_props = 14;
      Specified by:
      getMetadataPropsOrBuilderList in interface Onnx.ModelProtoOrBuilder

    • addMetadataPropsBuilder

      public Onnx.StringStringEntryProto.Builder addMetadataPropsBuilder()
       Named metadata values; keys should be distinct.
      repeated .onnx.StringStringEntryProto metadata_props = 14;

    • addMetadataPropsBuilder

      public Onnx.StringStringEntryProto.Builder addMetadataPropsBuilder(int index)
       Named metadata values; keys should be distinct.
      repeated .onnx.StringStringEntryProto metadata_props = 14;

    • getMetadataPropsBuilderList

      public List<Onnx.StringStringEntryProto.Builder> getMetadataPropsBuilderList()
       Named metadata values; keys should be distinct.
      repeated .onnx.StringStringEntryProto metadata_props = 14;

    • getTrainingInfoList

      public List<Onnx.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 Onnx.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 Onnx.ModelProtoOrBuilder

    • getTrainingInfo

      public Onnx.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 Onnx.ModelProtoOrBuilder

    • setTrainingInfo

      public Onnx.ModelProto.Builder setTrainingInfo(int index, Onnx.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 Onnx.ModelProto.Builder setTrainingInfo(int index, Onnx.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 Onnx.ModelProto.Builder addTrainingInfo(Onnx.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 Onnx.ModelProto.Builder addTrainingInfo(int index, Onnx.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 Onnx.ModelProto.Builder addTrainingInfo(Onnx.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 Onnx.ModelProto.Builder addTrainingInfo(int index, Onnx.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 Onnx.ModelProto.Builder addAllTrainingInfo(Iterable<? extends Onnx.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 Onnx.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 Onnx.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 Onnx.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 Onnx.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 Onnx.ModelProtoOrBuilder

    • getTrainingInfoOrBuilderList

      public List<? extends Onnx.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 Onnx.ModelProtoOrBuilder

    • addTrainingInfoBuilder

      public Onnx.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 Onnx.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 List<Onnx.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;

    • getFunctionsList

      public List<Onnx.FunctionProto> getFunctionsList()
       A list of function protos local to the model.

 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard operator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.

 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.

 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
      repeated .onnx.FunctionProto functions = 25;
      Specified by:
      getFunctionsList in interface Onnx.ModelProtoOrBuilder

    • getFunctionsCount

      public int getFunctionsCount()
       A list of function protos local to the model.

 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard operator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.

 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.

 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
      repeated .onnx.FunctionProto functions = 25;
      Specified by:
      getFunctionsCount in interface Onnx.ModelProtoOrBuilder

    • getFunctions

      public Onnx.FunctionProto getFunctions(int index)
       A list of function protos local to the model.

 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard operator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.

 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.

 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
      repeated .onnx.FunctionProto functions = 25;
      Specified by:
      getFunctions in interface Onnx.ModelProtoOrBuilder

    • setFunctions

      public Onnx.ModelProto.Builder setFunctions(int index, Onnx.FunctionProto value)
       A list of function protos local to the model.

 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard operator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.

 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.

 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
      repeated .onnx.FunctionProto functions = 25;

    • setFunctions

      public Onnx.ModelProto.Builder setFunctions(int index, Onnx.FunctionProto.Builder builderForValue)
       A list of function protos local to the model.

 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard operator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.

 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.

 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
      repeated .onnx.FunctionProto functions = 25;

    • addFunctions

      public Onnx.ModelProto.Builder addFunctions(Onnx.FunctionProto value)
       A list of function protos local to the model.

 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard operator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.

 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.

 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
      repeated .onnx.FunctionProto functions = 25;

    • addFunctions

      public Onnx.ModelProto.Builder addFunctions(int index, Onnx.FunctionProto value)
       A list of function protos local to the model.

 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard operator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.

 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.

 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
      repeated .onnx.FunctionProto functions = 25;

    • addFunctions

      public Onnx.ModelProto.Builder addFunctions(Onnx.FunctionProto.Builder builderForValue)
       A list of function protos local to the model.

 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard operator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.

 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.

 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
      repeated .onnx.FunctionProto functions = 25;

    • addFunctions

      public Onnx.ModelProto.Builder addFunctions(int index, Onnx.FunctionProto.Builder builderForValue)
       A list of function protos local to the model.

 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard operator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.

 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.

 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
      repeated .onnx.FunctionProto functions = 25;

    • addAllFunctions

      public Onnx.ModelProto.Builder addAllFunctions(Iterable<? extends Onnx.FunctionProto> values)
       A list of function protos local to the model.

 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard operator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.

 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.

 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
      repeated .onnx.FunctionProto functions = 25;

    • clearFunctions

      public Onnx.ModelProto.Builder clearFunctions()
       A list of function protos local to the model.

 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard operator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.

 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.

 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
      repeated .onnx.FunctionProto functions = 25;

    • removeFunctions

      public Onnx.ModelProto.Builder removeFunctions(int index)
       A list of function protos local to the model.

 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard operator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.

 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.

 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
      repeated .onnx.FunctionProto functions = 25;

    • getFunctionsBuilder

      public Onnx.FunctionProto.Builder getFunctionsBuilder(int index)
       A list of function protos local to the model.

 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard operator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.

 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.

 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
      repeated .onnx.FunctionProto functions = 25;

    • getFunctionsOrBuilder

      public Onnx.FunctionProtoOrBuilder getFunctionsOrBuilder(int index)
       A list of function protos local to the model.

 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard operator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.

 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.

 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
      repeated .onnx.FunctionProto functions = 25;
      Specified by:
      getFunctionsOrBuilder in interface Onnx.ModelProtoOrBuilder

    • getFunctionsOrBuilderList

      public List<? extends Onnx.FunctionProtoOrBuilder> getFunctionsOrBuilderList()
       A list of function protos local to the model.

 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard operator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.

 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.

 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
      repeated .onnx.FunctionProto functions = 25;
      Specified by:
      getFunctionsOrBuilderList in interface Onnx.ModelProtoOrBuilder

    • addFunctionsBuilder

      public Onnx.FunctionProto.Builder addFunctionsBuilder()
       A list of function protos local to the model.

 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard operator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.

 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.

 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
      repeated .onnx.FunctionProto functions = 25;

    • addFunctionsBuilder

      public Onnx.FunctionProto.Builder addFunctionsBuilder(int index)
       A list of function protos local to the model.

 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard operator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.

 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.

 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
      repeated .onnx.FunctionProto functions = 25;

    • getFunctionsBuilderList

      public List<Onnx.FunctionProto.Builder> getFunctionsBuilderList()
       A list of function protos local to the model.

 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard operator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.

 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.

 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
      repeated .onnx.FunctionProto functions = 25;

    • setUnknownFields

      public final Onnx.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<Onnx.ModelProto.Builder>

    • mergeUnknownFields

      public final Onnx.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<Onnx.ModelProto.Builder>