Package onnx

Class Onnx.ModelProto

java.lang.Object
com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessage
com.google.protobuf.GeneratedMessageV3
onnx.Onnx.ModelProto
All Implemented Interfaces:
com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Serializable, Onnx.ModelProtoOrBuilder
Enclosing class:
Onnx

public static final class Onnx.ModelProto extends com.google.protobuf.GeneratedMessageV3 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
See Also:
  • Field Details

    • IR_VERSION_FIELD_NUMBER

      public static final int IR_VERSION_FIELD_NUMBER
      See Also:
    • OPSET_IMPORT_FIELD_NUMBER

      public static final int OPSET_IMPORT_FIELD_NUMBER
      See Also:
    • PRODUCER_NAME_FIELD_NUMBER

      public static final int PRODUCER_NAME_FIELD_NUMBER
      See Also:
    • PRODUCER_VERSION_FIELD_NUMBER

      public static final int PRODUCER_VERSION_FIELD_NUMBER
      See Also:
    • DOMAIN_FIELD_NUMBER

      public static final int DOMAIN_FIELD_NUMBER
      See Also:
    • MODEL_VERSION_FIELD_NUMBER

      public static final int MODEL_VERSION_FIELD_NUMBER
      See Also:
    • DOC_STRING_FIELD_NUMBER

      public static final int DOC_STRING_FIELD_NUMBER
      See Also:
    • GRAPH_FIELD_NUMBER

      public static final int GRAPH_FIELD_NUMBER
      See Also:
    • METADATA_PROPS_FIELD_NUMBER

      public static final int METADATA_PROPS_FIELD_NUMBER
      See Also:
    • TRAINING_INFO_FIELD_NUMBER

      public static final int TRAINING_INFO_FIELD_NUMBER
      See Also:
    • FUNCTIONS_FIELD_NUMBER

      public static final int FUNCTIONS_FIELD_NUMBER
      See Also:
    • PARSER

      @Deprecated public static final com.google.protobuf.Parser<Onnx.ModelProto> PARSER
      Deprecated.
  • Method Details

    • newInstance

      protected Object newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
      Overrides:
      newInstance in class com.google.protobuf.GeneratedMessageV3
    • 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
    • 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.
    • 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
    • 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
    • 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
    • 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
    • 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.
    • 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.
    • 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.
    • 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.
    • 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.
    • 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.
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessageV3
    • writeTo

      public void writeTo(com.google.protobuf.CodedOutputStream output) throws IOException
      Specified by:
      writeTo in interface com.google.protobuf.MessageLite
      Overrides:
      writeTo in class com.google.protobuf.GeneratedMessageV3
      Throws:
      IOException
    • getSerializedSize

      public int getSerializedSize()
      Specified by:
      getSerializedSize in interface com.google.protobuf.MessageLite
      Overrides:
      getSerializedSize in class com.google.protobuf.GeneratedMessageV3
    • equals

      public boolean equals(Object obj)
      Specified by:
      equals in interface com.google.protobuf.Message
      Overrides:
      equals in class com.google.protobuf.AbstractMessage
    • hashCode

      public int hashCode()
      Specified by:
      hashCode in interface com.google.protobuf.Message
      Overrides:
      hashCode in class com.google.protobuf.AbstractMessage
    • parseFrom

      public static Onnx.ModelProto parseFrom(ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException
    • parseFrom

      public static Onnx.ModelProto parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException
    • parseFrom

      public static Onnx.ModelProto parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException
    • parseFrom

      public static Onnx.ModelProto parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException
    • parseFrom

      public static Onnx.ModelProto parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException
    • parseFrom

      public static Onnx.ModelProto parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException
    • parseFrom

      public static Onnx.ModelProto parseFrom(InputStream input) throws IOException
      Throws:
      IOException
    • parseFrom

      public static Onnx.ModelProto parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException
    • parseDelimitedFrom

      public static Onnx.ModelProto parseDelimitedFrom(InputStream input) throws IOException
      Throws:
      IOException
    • parseDelimitedFrom

      public static Onnx.ModelProto parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException
    • parseFrom

      public static Onnx.ModelProto parseFrom(com.google.protobuf.CodedInputStream input) throws IOException
      Throws:
      IOException
    • parseFrom

      public static Onnx.ModelProto parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException
    • newBuilderForType

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

      public static Onnx.ModelProto.Builder newBuilder()
    • newBuilder

      public static Onnx.ModelProto.Builder newBuilder(Onnx.ModelProto prototype)
    • toBuilder

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

      protected Onnx.ModelProto.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
      Specified by:
      newBuilderForType in class com.google.protobuf.GeneratedMessageV3
    • getDefaultInstance

      public static Onnx.ModelProto getDefaultInstance()
    • parser

      public static com.google.protobuf.Parser<Onnx.ModelProto> parser()
    • getParserForType

      public com.google.protobuf.Parser<Onnx.ModelProto> getParserForType()
      Specified by:
      getParserForType in interface com.google.protobuf.Message
      Specified by:
      getParserForType in interface com.google.protobuf.MessageLite
      Overrides:
      getParserForType in class com.google.protobuf.GeneratedMessageV3
    • getDefaultInstanceForType

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