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:
-
Nested Class Summary
Modifier and TypeClassDescriptionstatic final class
Models ModelProto is a top-level file/container format for bundling a ML model and associating its computation graph with metadata.Nested classes/interfaces inherited from class com.google.protobuf.GeneratedMessageV3
com.google.protobuf.GeneratedMessageV3.BuilderParent, com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>,
BuilderT extends com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT, BuilderT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.FieldAccessorTable, com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter Nested classes/interfaces inherited from class com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessageLite.InternalOneOfEnum
-
Field Summary
Modifier and TypeFieldDescriptionstatic final int
static final int
static final int
static final int
static final int
static final int
static final int
static final int
static final com.google.protobuf.Parser<Onnx.ModelProto>
Deprecated.static final int
static final int
static final int
Fields inherited from class com.google.protobuf.GeneratedMessageV3
alwaysUseFieldBuilders, unknownFields
Fields inherited from class com.google.protobuf.AbstractMessage
memoizedSize
Fields inherited from class com.google.protobuf.AbstractMessageLite
memoizedHashCode
-
Method Summary
Modifier and TypeMethodDescriptionboolean
static Onnx.ModelProto
static final com.google.protobuf.Descriptors.Descriptor
A human-readable documentation for this model.com.google.protobuf.ByteString
A human-readable documentation for this model.Domain name of the model.com.google.protobuf.ByteString
Domain name of the model.getFunctions
(int index) A list of function protos local to the model.int
A list of function protos local to the model.A list of function protos local to the model.getFunctionsOrBuilder
(int index) A list of function protos local to the model.List<? extends Onnx.FunctionProtoOrBuilder>
A list of function protos local to the model.getGraph()
The parameterized graph that is evaluated to execute the model.The parameterized graph that is evaluated to execute the model.long
The version of the IR this model targets.getMetadataProps
(int index) Named metadata values; keys should be distinct.int
Named metadata values; keys should be distinct.Named metadata values; keys should be distinct.getMetadataPropsOrBuilder
(int index) Named metadata values; keys should be distinct.List<? extends Onnx.StringStringEntryProtoOrBuilder>
Named metadata values; keys should be distinct.long
The version of the graph encoded.getOpsetImport
(int index) The OperatorSets this model relies on.int
The OperatorSets this model relies on.The OperatorSets this model relies on.getOpsetImportOrBuilder
(int index) The OperatorSets this model relies on.List<? extends Onnx.OperatorSetIdProtoOrBuilder>
The OperatorSets this model relies on.com.google.protobuf.Parser<Onnx.ModelProto>
The name of the framework or tool used to generate this model.com.google.protobuf.ByteString
The name of the framework or tool used to generate this model.The version of the framework or tool used to generate this model.com.google.protobuf.ByteString
The version of the framework or tool used to generate this model.int
getTrainingInfo
(int index) Training-specific information.int
Training-specific information.Training-specific information.getTrainingInfoOrBuilder
(int index) Training-specific information.List<? extends Onnx.TrainingInfoProtoOrBuilder>
Training-specific information.boolean
A human-readable documentation for this model.boolean
Domain name of the model.boolean
hasGraph()
The parameterized graph that is evaluated to execute the model.int
hashCode()
boolean
The version of the IR this model targets.boolean
The version of the graph encoded.boolean
The name of the framework or tool used to generate this model.boolean
The version of the framework or tool used to generate this model.protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
final boolean
static Onnx.ModelProto.Builder
static Onnx.ModelProto.Builder
newBuilder
(Onnx.ModelProto prototype) protected Onnx.ModelProto.Builder
newBuilderForType
(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) protected Object
newInstance
(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused) static Onnx.ModelProto
parseDelimitedFrom
(InputStream input) static Onnx.ModelProto
parseDelimitedFrom
(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Onnx.ModelProto
parseFrom
(byte[] data) static Onnx.ModelProto
parseFrom
(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Onnx.ModelProto
parseFrom
(com.google.protobuf.ByteString data) static Onnx.ModelProto
parseFrom
(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Onnx.ModelProto
parseFrom
(com.google.protobuf.CodedInputStream input) static Onnx.ModelProto
parseFrom
(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Onnx.ModelProto
parseFrom
(InputStream input) static Onnx.ModelProto
parseFrom
(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Onnx.ModelProto
parseFrom
(ByteBuffer data) static Onnx.ModelProto
parseFrom
(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static com.google.protobuf.Parser<Onnx.ModelProto>
parser()
void
writeTo
(com.google.protobuf.CodedOutputStream output) Methods inherited from class com.google.protobuf.GeneratedMessageV3
canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, isStringEmpty, makeExtensionsImmutable, makeMutableCopy, makeMutableCopy, mergeFromAndMakeImmutableInternal, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBooleanList, newBuilderForType, newDoubleList, newFloatList, newIntList, newLongList, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTag
Methods inherited from class com.google.protobuf.AbstractMessage
findInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toString
Methods inherited from class com.google.protobuf.AbstractMessageLite
addAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeTo
Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
Methods inherited from interface com.google.protobuf.MessageLite
toByteArray, toByteString, writeDelimitedTo, writeTo
Methods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
-
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.
-
-
Method Details
-
newInstance
- Overrides:
newInstance
in classcom.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 classcom.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 interfaceOnnx.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 interfaceOnnx.ModelProtoOrBuilder
- Returns:
- The irVersion.
-
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 interfaceOnnx.ModelProtoOrBuilder
-
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 interfaceOnnx.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 interfaceOnnx.ModelProtoOrBuilder
-
getOpsetImport
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 interfaceOnnx.ModelProtoOrBuilder
-
getOpsetImportOrBuilder
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 interfaceOnnx.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 interfaceOnnx.ModelProtoOrBuilder
- Returns:
- Whether the producerName field is set.
-
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 interfaceOnnx.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 interfaceOnnx.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 interfaceOnnx.ModelProtoOrBuilder
- Returns:
- Whether the producerVersion field is set.
-
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 interfaceOnnx.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 interfaceOnnx.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 interfaceOnnx.ModelProtoOrBuilder
- Returns:
- Whether the domain field is set.
-
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 interfaceOnnx.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 interfaceOnnx.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 interfaceOnnx.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 interfaceOnnx.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 interfaceOnnx.ModelProtoOrBuilder
- Returns:
- Whether the docString field is set.
-
getDocString
A human-readable documentation for this model. Markdown is allowed.
optional string doc_string = 6;
- Specified by:
getDocString
in interfaceOnnx.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 interfaceOnnx.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 interfaceOnnx.ModelProtoOrBuilder
- Returns:
- Whether the graph field is set.
-
getGraph
The parameterized graph that is evaluated to execute the model.
optional .onnx.GraphProto graph = 7;
- Specified by:
getGraph
in interfaceOnnx.ModelProtoOrBuilder
- Returns:
- The graph.
-
getGraphOrBuilder
The parameterized graph that is evaluated to execute the model.
optional .onnx.GraphProto graph = 7;
- Specified by:
getGraphOrBuilder
in interfaceOnnx.ModelProtoOrBuilder
-
getMetadataPropsList
Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
- Specified by:
getMetadataPropsList
in interfaceOnnx.ModelProtoOrBuilder
-
getMetadataPropsOrBuilderList
Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
- Specified by:
getMetadataPropsOrBuilderList
in interfaceOnnx.ModelProtoOrBuilder
-
getMetadataPropsCount
public int getMetadataPropsCount()Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
- Specified by:
getMetadataPropsCount
in interfaceOnnx.ModelProtoOrBuilder
-
getMetadataProps
Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
- Specified by:
getMetadataProps
in interfaceOnnx.ModelProtoOrBuilder
-
getMetadataPropsOrBuilder
Named metadata values; keys should be distinct.
repeated .onnx.StringStringEntryProto metadata_props = 14;
- Specified by:
getMetadataPropsOrBuilder
in interfaceOnnx.ModelProtoOrBuilder
-
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 interfaceOnnx.ModelProtoOrBuilder
-
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 interfaceOnnx.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 interfaceOnnx.ModelProtoOrBuilder
-
getTrainingInfo
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 interfaceOnnx.ModelProtoOrBuilder
-
getTrainingInfoOrBuilder
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 interfaceOnnx.ModelProtoOrBuilder
-
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 interfaceOnnx.ModelProtoOrBuilder
-
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 interfaceOnnx.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 interfaceOnnx.ModelProtoOrBuilder
-
getFunctions
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 interfaceOnnx.ModelProtoOrBuilder
-
getFunctionsOrBuilder
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 interfaceOnnx.ModelProtoOrBuilder
-
isInitialized
public final boolean isInitialized()- Specified by:
isInitialized
in interfacecom.google.protobuf.MessageLiteOrBuilder
- Overrides:
isInitialized
in classcom.google.protobuf.GeneratedMessageV3
-
writeTo
- Specified by:
writeTo
in interfacecom.google.protobuf.MessageLite
- Overrides:
writeTo
in classcom.google.protobuf.GeneratedMessageV3
- Throws:
IOException
-
getSerializedSize
public int getSerializedSize()- Specified by:
getSerializedSize
in interfacecom.google.protobuf.MessageLite
- Overrides:
getSerializedSize
in classcom.google.protobuf.GeneratedMessageV3
-
equals
- Specified by:
equals
in interfacecom.google.protobuf.Message
- Overrides:
equals
in classcom.google.protobuf.AbstractMessage
-
hashCode
public int hashCode()- Specified by:
hashCode
in interfacecom.google.protobuf.Message
- Overrides:
hashCode
in classcom.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
- Throws:
IOException
-
parseFrom
public static Onnx.ModelProto parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException - Throws:
IOException
-
parseDelimitedFrom
- 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
- Specified by:
newBuilderForType
in interfacecom.google.protobuf.Message
- Specified by:
newBuilderForType
in interfacecom.google.protobuf.MessageLite
-
newBuilder
-
newBuilder
-
toBuilder
- Specified by:
toBuilder
in interfacecom.google.protobuf.Message
- Specified by:
toBuilder
in interfacecom.google.protobuf.MessageLite
-
newBuilderForType
protected Onnx.ModelProto.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) - Specified by:
newBuilderForType
in classcom.google.protobuf.GeneratedMessageV3
-
getDefaultInstance
-
parser
-
getParserForType
- Specified by:
getParserForType
in interfacecom.google.protobuf.Message
- Specified by:
getParserForType
in interfacecom.google.protobuf.MessageLite
- Overrides:
getParserForType
in classcom.google.protobuf.GeneratedMessageV3
-
getDefaultInstanceForType
- Specified by:
getDefaultInstanceForType
in interfacecom.google.protobuf.MessageLiteOrBuilder
- Specified by:
getDefaultInstanceForType
in interfacecom.google.protobuf.MessageOrBuilder
-