Package onnx

Class OnnxMl.ModelProto.Builder

  • All Implemented Interfaces:
    Cloneable, OnnxMl.ModelProtoOrBuilder, org.nd4j.shade.protobuf.Message.Builder, org.nd4j.shade.protobuf.MessageLite.Builder, org.nd4j.shade.protobuf.MessageLiteOrBuilder, org.nd4j.shade.protobuf.MessageOrBuilder
    Enclosing class:
    OnnxMl.ModelProto
    public static final class OnnxMl.ModelProto.Builder
extends org.nd4j.shade.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 Detail

      • getDescriptor

        public static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor()

      • internalGetFieldAccessorTable

        protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.ModelProto.Builder>

      • clear

        public OnnxMl.ModelProto.Builder clear()
        Specified by:
        clear in interface org.nd4j.shade.protobuf.Message.Builder
        Specified by:
        clear in interface org.nd4j.shade.protobuf.MessageLite.Builder
        Overrides:
        clear in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.ModelProto.Builder>

      • getDescriptorForType

        public org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptorForType()
        Specified by:
        getDescriptorForType in interface org.nd4j.shade.protobuf.Message.Builder
        Specified by:
        getDescriptorForType in interface org.nd4j.shade.protobuf.MessageOrBuilder
        Overrides:
        getDescriptorForType in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.ModelProto.Builder>

      • getDefaultInstanceForType

        public OnnxMl.ModelProto getDefaultInstanceForType()
        Specified by:
        getDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageLiteOrBuilder
        Specified by:
        getDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageOrBuilder

      • build

        public OnnxMl.ModelProto build()
        Specified by:
        build in interface org.nd4j.shade.protobuf.Message.Builder
        Specified by:
        build in interface org.nd4j.shade.protobuf.MessageLite.Builder

      • buildPartial

        public OnnxMl.ModelProto buildPartial()
        Specified by:
        buildPartial in interface org.nd4j.shade.protobuf.Message.Builder
        Specified by:
        buildPartial in interface org.nd4j.shade.protobuf.MessageLite.Builder

      • clone

        public OnnxMl.ModelProto.Builder clone()
        Specified by:
        clone in interface org.nd4j.shade.protobuf.Message.Builder
        Specified by:
        clone in interface org.nd4j.shade.protobuf.MessageLite.Builder
        Overrides:
        clone in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.ModelProto.Builder>

      • setField

        public OnnxMl.ModelProto.Builder setField​(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
                                          Object value)
        Specified by:
        setField in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        setField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.ModelProto.Builder>

      • clearField

        public OnnxMl.ModelProto.Builder clearField​(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field)
        Specified by:
        clearField in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        clearField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.ModelProto.Builder>

      • clearOneof

        public OnnxMl.ModelProto.Builder clearOneof​(org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof)
        Specified by:
        clearOneof in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        clearOneof in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.ModelProto.Builder>

      • setRepeatedField

        public OnnxMl.ModelProto.Builder setRepeatedField​(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
                                                  int index,
                                                  Object value)
        Specified by:
        setRepeatedField in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        setRepeatedField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.ModelProto.Builder>

      • addRepeatedField

        public OnnxMl.ModelProto.Builder addRepeatedField​(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
                                                  Object value)
        Specified by:
        addRepeatedField in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        addRepeatedField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.ModelProto.Builder>

      • mergeFrom

        public OnnxMl.ModelProto.Builder mergeFrom​(org.nd4j.shade.protobuf.Message other)
        Specified by:
        mergeFrom in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        mergeFrom in class org.nd4j.shade.protobuf.AbstractMessage.Builder<OnnxMl.ModelProto.Builder>

      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface org.nd4j.shade.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.ModelProto.Builder>

      • mergeFrom

        public OnnxMl.ModelProto.Builder mergeFrom​(org.nd4j.shade.protobuf.CodedInputStream input,
                                           org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
                                    throws IOException
        Specified by:
        mergeFrom in interface org.nd4j.shade.protobuf.Message.Builder
        Specified by:
        mergeFrom in interface org.nd4j.shade.protobuf.MessageLite.Builder
        Overrides:
        mergeFrom in class org.nd4j.shade.protobuf.AbstractMessage.Builder<OnnxMl.ModelProto.Builder>
        Throws:
        IOException

      • getIrVersion

        public long getIrVersion()
         The version of the IR this model targets. See Version enum above.
 This field MUST be present.
        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.
        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.
        int64 ir_version = 1;
        Returns:
        This builder for chaining.

      • getOpsetImportList

        public 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​(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 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 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;

      • 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.
        string producer_name = 2;
        Specified by:
        getProducerName in interface OnnxMl.ModelProtoOrBuilder
        Returns:
        The producerName.

      • getProducerNameBytes

        public org.nd4j.shade.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.
        string producer_name = 2;
        Specified by:
        getProducerNameBytes in interface OnnxMl.ModelProtoOrBuilder
        Returns:
        The bytes for producerName.

      • setProducerName

        public OnnxMl.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.
        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.
        string producer_name = 2;
        Returns:
        This builder for chaining.

      • setProducerNameBytes

        public OnnxMl.ModelProto.Builder setProducerNameBytes​(org.nd4j.shade.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.
        string producer_name = 2;
        Parameters:
        value - The bytes for producerName to set.
        Returns:
        This builder for chaining.

      • 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.
        string producer_version = 3;
        Specified by:
        getProducerVersion in interface OnnxMl.ModelProtoOrBuilder
        Returns:
        The producerVersion.

      • getProducerVersionBytes

        public org.nd4j.shade.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.
        string producer_version = 3;
        Specified by:
        getProducerVersionBytes in interface OnnxMl.ModelProtoOrBuilder
        Returns:
        The bytes for producerVersion.

      • setProducerVersion

        public OnnxMl.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.
        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.
        string producer_version = 3;
        Returns:
        This builder for chaining.

      • setProducerVersionBytes

        public OnnxMl.ModelProto.Builder setProducerVersionBytes​(org.nd4j.shade.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.
        string producer_version = 3;
        Parameters:
        value - The bytes for producerVersion to set.
        Returns:
        This builder for chaining.

      • 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.
        string domain = 4;
        Specified by:
        getDomain in interface OnnxMl.ModelProtoOrBuilder
        Returns:
        The domain.

      • getDomainBytes

        public org.nd4j.shade.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.
        string domain = 4;
        Specified by:
        getDomainBytes in interface OnnxMl.ModelProtoOrBuilder
        Returns:
        The bytes for domain.

      • setDomain

        public OnnxMl.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.
        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.
        string domain = 4;
        Returns:
        This builder for chaining.

      • setDomainBytes

        public OnnxMl.ModelProto.Builder setDomainBytes​(org.nd4j.shade.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.
        string domain = 4;
        Parameters:
        value - The bytes for domain to set.
        Returns:
        This builder for chaining.

      • getModelVersion

        public long getModelVersion()
         The version of the graph encoded. See Version enum below.
        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.
        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.
        int64 model_version = 5;
        Returns:
        This builder for chaining.

      • getDocString

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

      • getDocStringBytes

        public org.nd4j.shade.protobuf.ByteString getDocStringBytes()
         A human-readable documentation for this model. Markdown is allowed.
        string doc_string = 6;
        Specified by:
        getDocStringBytes in interface OnnxMl.ModelProtoOrBuilder
        Returns:
        The bytes for docString.

      • setDocString

        public OnnxMl.ModelProto.Builder setDocString​(String value)
         A human-readable documentation for this model. Markdown is allowed.
        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.
        string doc_string = 6;
        Returns:
        This builder for chaining.

      • setDocStringBytes

        public OnnxMl.ModelProto.Builder setDocStringBytes​(org.nd4j.shade.protobuf.ByteString value)
         A human-readable documentation for this model. Markdown is allowed.
        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.
        .onnx.GraphProto graph = 7;
        Specified by:
        hasGraph in interface OnnxMl.ModelProtoOrBuilder
        Returns:
        Whether the graph field is set.

      • clearGraph

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

      • getGraphBuilder

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

      • getMetadataPropsCount

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

      • 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;

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

      • getTrainingInfoList

        public 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​(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 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 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;

      • getFunctionsList

        public List<OnnxMl.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 opserator 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 OnnxMl.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 opserator 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 OnnxMl.ModelProtoOrBuilder

      • getFunctions

        public OnnxMl.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 opserator 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 OnnxMl.ModelProtoOrBuilder

      • setFunctions

        public OnnxMl.ModelProto.Builder setFunctions​(int index,
                                              OnnxMl.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 opserator 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 OnnxMl.ModelProto.Builder setFunctions​(int index,
                                              OnnxMl.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 opserator 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 OnnxMl.ModelProto.Builder addFunctions​(OnnxMl.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 opserator 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 OnnxMl.ModelProto.Builder addFunctions​(int index,
                                              OnnxMl.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 opserator 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 OnnxMl.ModelProto.Builder addFunctions​(OnnxMl.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 opserator 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 OnnxMl.ModelProto.Builder addFunctions​(int index,
                                              OnnxMl.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 opserator 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 OnnxMl.ModelProto.Builder addAllFunctions​(Iterable<? extends OnnxMl.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 opserator 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 OnnxMl.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 opserator 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 OnnxMl.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 opserator 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 OnnxMl.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 opserator 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 OnnxMl.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 opserator 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 OnnxMl.ModelProtoOrBuilder

      • getFunctionsOrBuilderList

        public List<? extends OnnxMl.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 opserator 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 OnnxMl.ModelProtoOrBuilder

      • addFunctionsBuilder

        public OnnxMl.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 opserator 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 OnnxMl.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 opserator 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<OnnxMl.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 opserator 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 OnnxMl.ModelProto.Builder setUnknownFields​(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        setUnknownFields in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        setUnknownFields in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.ModelProto.Builder>

      • mergeUnknownFields

        public final OnnxMl.ModelProto.Builder mergeUnknownFields​(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        mergeUnknownFields in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        mergeUnknownFields in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.ModelProto.Builder>