Package ai.onnx.proto
Enum Class OnnxMl.Version
- All Implemented Interfaces:
com.google.protobuf.Internal.EnumLite
,com.google.protobuf.ProtocolMessageEnum
,Serializable
,Comparable<OnnxMl.Version>
,Constable
- Enclosing class:
- OnnxMl
public static enum OnnxMl.Version
extends Enum<OnnxMl.Version>
implements com.google.protobuf.ProtocolMessageEnum
Versioning ONNX versioning is specified in docs/IR.md and elaborated on in docs/Versioning.md To be compatible with both proto2 and proto3, we will use a version number that is not defined by the default value but an explicit enum number.Protobuf enum
onnx.Version
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Nested Class Summary
Nested classes/interfaces inherited from class java.lang.Enum
Enum.EnumDesc<E extends Enum<E>>
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Enum Constant Summary
Enum ConstantDescriptionproto3 requires the first enum value to be zero.IR VERSION 7 published on <TBD> - Add support to allow function body graph to rely on multiple external opreator sets.The version field is always serialized and we will use it to store the version that the graph is generated from.IR_VERSION 2 published on Oct 30, 2017 - Added type discriminator to AttributeProto to support proto3 usersIR VERSION 3 published on Nov 3, 2017 - For operator versioning: - Added new message OperatorSetIdProto - Added opset_import in ModelProto - For vendor extensions, added domain in NodeProtoIR VERSION 4 published on Jan 22, 2019 - Relax constraint that initializers should be a subset of graph inputs - Add type BFLOAT16IR VERSION 5 published on March 18, 2019 - Add message TensorAnnotation.IR VERSION 6 published on Sep 19, 2019 - Add support for sparse tensor constants stored in model. -
Field Summary
Modifier and TypeFieldDescriptionstatic final int
proto3 requires the first enum value to be zero.static final int
The version field is always serialized and we will use it to store the version that the graph is generated from.static final int
IR_VERSION 2 published on Oct 30, 2017 - Added type discriminator to AttributeProto to support proto3 usersstatic final int
IR VERSION 3 published on Nov 3, 2017 - For operator versioning: - Added new message OperatorSetIdProto - Added opset_import in ModelProto - For vendor extensions, added domain in NodeProtostatic final int
IR VERSION 4 published on Jan 22, 2019 - Relax constraint that initializers should be a subset of graph inputs - Add type BFLOAT16static final int
IR VERSION 5 published on March 18, 2019 - Add message TensorAnnotation.static final int
IR VERSION 6 published on Sep 19, 2019 - Add support for sparse tensor constants stored in model.static final int
IR VERSION 7 published on <TBD> - Add support to allow function body graph to rely on multiple external opreator sets. -
Method Summary
Modifier and TypeMethodDescriptionstatic OnnxMl.Version
forNumber
(int value) static final com.google.protobuf.Descriptors.EnumDescriptor
final com.google.protobuf.Descriptors.EnumDescriptor
final int
final com.google.protobuf.Descriptors.EnumValueDescriptor
static com.google.protobuf.Internal.EnumLiteMap<OnnxMl.Version>
static OnnxMl.Version
valueOf
(int value) Deprecated.static OnnxMl.Version
valueOf
(com.google.protobuf.Descriptors.EnumValueDescriptor desc) Returns the enum constant of this class with the specified name.static OnnxMl.Version
Returns the enum constant of this class with the specified name.static OnnxMl.Version[]
values()
Returns an array containing the constants of this enum class, in the order they are declared.
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Enum Constant Details
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_START_VERSION
proto3 requires the first enum value to be zero. We add this just to appease the compiler.
_START_VERSION = 0;
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IR_VERSION_2017_10_10
The version field is always serialized and we will use it to store the version that the graph is generated from. This helps us set up version control. For the IR, we are using simple numbers starting with 0x00000001, which was the version we published on Oct 10, 2017.
IR_VERSION_2017_10_10 = 1;
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IR_VERSION_2017_10_30
IR_VERSION 2 published on Oct 30, 2017 - Added type discriminator to AttributeProto to support proto3 users
IR_VERSION_2017_10_30 = 2;
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IR_VERSION_2017_11_3
IR VERSION 3 published on Nov 3, 2017 - For operator versioning: - Added new message OperatorSetIdProto - Added opset_import in ModelProto - For vendor extensions, added domain in NodeProto
IR_VERSION_2017_11_3 = 3;
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IR_VERSION_2019_1_22
IR VERSION 4 published on Jan 22, 2019 - Relax constraint that initializers should be a subset of graph inputs - Add type BFLOAT16
IR_VERSION_2019_1_22 = 4;
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IR_VERSION_2019_3_18
IR VERSION 5 published on March 18, 2019 - Add message TensorAnnotation. - Add quantization annotation in GraphProto to map tensor with its scale and zero point quantization parameters.
IR_VERSION_2019_3_18 = 5;
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IR_VERSION_2019_9_19
IR VERSION 6 published on Sep 19, 2019 - Add support for sparse tensor constants stored in model. - Add message SparseTensorProto - Add sparse initializers
IR_VERSION_2019_9_19 = 6;
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IR_VERSION
IR VERSION 7 published on <TBD> - Add support to allow function body graph to rely on multiple external opreator sets. - Add a list to promote inference graph's initializers to global and mutable variables. Global variables are visible in all graphs of the stored models. - Add message TrainingInfoProto to store initialization method and training algorithm. The execution of TrainingInfoProto can modify the values of mutable variables. - Implicitly add inference graph into each TrainingInfoProto's algorithm.
IR_VERSION = 7;
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Field Details
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_START_VERSION_VALUE
public static final int _START_VERSION_VALUEproto3 requires the first enum value to be zero. We add this just to appease the compiler.
_START_VERSION = 0;
- See Also:
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IR_VERSION_2017_10_10_VALUE
public static final int IR_VERSION_2017_10_10_VALUEThe version field is always serialized and we will use it to store the version that the graph is generated from. This helps us set up version control. For the IR, we are using simple numbers starting with 0x00000001, which was the version we published on Oct 10, 2017.
IR_VERSION_2017_10_10 = 1;
- See Also:
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IR_VERSION_2017_10_30_VALUE
public static final int IR_VERSION_2017_10_30_VALUEIR_VERSION 2 published on Oct 30, 2017 - Added type discriminator to AttributeProto to support proto3 users
IR_VERSION_2017_10_30 = 2;
- See Also:
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IR_VERSION_2017_11_3_VALUE
public static final int IR_VERSION_2017_11_3_VALUEIR VERSION 3 published on Nov 3, 2017 - For operator versioning: - Added new message OperatorSetIdProto - Added opset_import in ModelProto - For vendor extensions, added domain in NodeProto
IR_VERSION_2017_11_3 = 3;
- See Also:
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IR_VERSION_2019_1_22_VALUE
public static final int IR_VERSION_2019_1_22_VALUEIR VERSION 4 published on Jan 22, 2019 - Relax constraint that initializers should be a subset of graph inputs - Add type BFLOAT16
IR_VERSION_2019_1_22 = 4;
- See Also:
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IR_VERSION_2019_3_18_VALUE
public static final int IR_VERSION_2019_3_18_VALUEIR VERSION 5 published on March 18, 2019 - Add message TensorAnnotation. - Add quantization annotation in GraphProto to map tensor with its scale and zero point quantization parameters.
IR_VERSION_2019_3_18 = 5;
- See Also:
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IR_VERSION_2019_9_19_VALUE
public static final int IR_VERSION_2019_9_19_VALUEIR VERSION 6 published on Sep 19, 2019 - Add support for sparse tensor constants stored in model. - Add message SparseTensorProto - Add sparse initializers
IR_VERSION_2019_9_19 = 6;
- See Also:
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IR_VERSION_VALUE
public static final int IR_VERSION_VALUEIR VERSION 7 published on <TBD> - Add support to allow function body graph to rely on multiple external opreator sets. - Add a list to promote inference graph's initializers to global and mutable variables. Global variables are visible in all graphs of the stored models. - Add message TrainingInfoProto to store initialization method and training algorithm. The execution of TrainingInfoProto can modify the values of mutable variables. - Implicitly add inference graph into each TrainingInfoProto's algorithm.
IR_VERSION = 7;
- See Also:
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Method Details
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values
Returns an array containing the constants of this enum class, in the order they are declared.- Returns:
- an array containing the constants of this enum class, in the order they are declared
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valueOf
Returns the enum constant of this class with the specified name. The string must match exactly an identifier used to declare an enum constant in this class. (Extraneous whitespace characters are not permitted.)- Parameters:
name
- the name of the enum constant to be returned.- Returns:
- the enum constant with the specified name
- Throws:
IllegalArgumentException
- if this enum class has no constant with the specified nameNullPointerException
- if the argument is null
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getNumber
public final int getNumber()- Specified by:
getNumber
in interfacecom.google.protobuf.Internal.EnumLite
- Specified by:
getNumber
in interfacecom.google.protobuf.ProtocolMessageEnum
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valueOf
Deprecated.Returns the enum constant of this class with the specified name. The string must match exactly an identifier used to declare an enum constant in this class. (Extraneous whitespace characters are not permitted.)- Parameters:
value
- the name of the enum constant to be returned.- Returns:
- the enum constant with the specified name
- Throws:
IllegalArgumentException
- if this enum class has no constant with the specified nameNullPointerException
- if the argument is null
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forNumber
- Parameters:
value
- The numeric wire value of the corresponding enum entry.- Returns:
- The enum associated with the given numeric wire value.
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internalGetValueMap
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getValueDescriptor
public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor()- Specified by:
getValueDescriptor
in interfacecom.google.protobuf.ProtocolMessageEnum
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getDescriptorForType
public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType()- Specified by:
getDescriptorForType
in interfacecom.google.protobuf.ProtocolMessageEnum
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getDescriptor
public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() -
valueOf
Returns the enum constant of this class with the specified name. The string must match exactly an identifier used to declare an enum constant in this class. (Extraneous whitespace characters are not permitted.)- Parameters:
desc
- the name of the enum constant to be returned.- Returns:
- the enum constant with the specified name
- Throws:
IllegalArgumentException
- if this enum class has no constant with the specified nameNullPointerException
- if the argument is null
-