ai.onnx.proto

Enum OnnxMl.Version

java.lang.Object

java.lang.Enum<OnnxMl.Version>

ai.onnx.proto.OnnxMl.Version

All Implemented Interfaces:

com.google.protobuf.Internal.EnumLite, com.google.protobuf.ProtocolMessageEnum, java.io.Serializable, java.lang.Comparable<OnnxMl.Version>

Enclosing class:

OnnxMl

public static enum OnnxMl.Version
extends java.lang.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

Enum Constant Summary

Enum Constants

Enum Constant and Description
_START_VERSION proto3 requires the first enum value to be zero.
IR_VERSION IR VERSION 7 published on <TBD> - Add support to allow function body graph to rely on multiple external opreator sets.
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.
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_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_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_3_18 IR VERSION 5 published on March 18, 2019 - Add message TensorAnnotation.
IR_VERSION_2019_9_19 IR VERSION 6 published on Sep 19, 2019 - Add support for sparse tensor constants stored in model.

Field Summary

Fields

Modifier and Type	Field and Description
static int	_START_VERSION_VALUE proto3 requires the first enum value to be zero.
static int	IR_VERSION_2017_10_10_VALUE The version field is always serialized and we will use it to store the version that the graph is generated from.
static int	IR_VERSION_2017_10_30_VALUE IR_VERSION 2 published on Oct 30, 2017 - Added type discriminator to AttributeProto to support proto3 users
static int	IR_VERSION_2017_11_3_VALUE 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
static int	IR_VERSION_2019_1_22_VALUE IR VERSION 4 published on Jan 22, 2019 - Relax constraint that initializers should be a subset of graph inputs - Add type BFLOAT16
static int	IR_VERSION_2019_3_18_VALUE IR VERSION 5 published on March 18, 2019 - Add message TensorAnnotation.
static int	IR_VERSION_2019_9_19_VALUE IR VERSION 6 published on Sep 19, 2019 - Add support for sparse tensor constants stored in model.
static int	IR_VERSION_VALUE IR VERSION 7 published on <TBD> - Add support to allow function body graph to rely on multiple external opreator sets.

Method Summary

Modifier and Type	Method and Description
static OnnxMl.Version	forNumber(int value)
static com.google.protobuf.Descriptors.EnumDescriptor	getDescriptor()
com.google.protobuf.Descriptors.EnumDescriptor	getDescriptorForType()
int	getNumber()
com.google.protobuf.Descriptors.EnumValueDescriptor	getValueDescriptor()
static com.google.protobuf.Internal.EnumLiteMap<OnnxMl.Version>	internalGetValueMap()
static OnnxMl.Version	valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc)
static OnnxMl.Version	valueOf(int value) Deprecated. Use forNumber(int) instead.
static OnnxMl.Version	valueOf(java.lang.String name) Returns the enum constant of this type with the specified name.
static OnnxMl.Version[]	values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods inherited from class java.lang.Enum

clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Enum Constant Detail

_START_VERSION

public static final OnnxMl.Version _START_VERSION

 proto3 requires the first enum value to be zero.
 We add this just to appease the compiler.
 

_START_VERSION = 0;

IR_VERSION_2017_10_10

public static final OnnxMl.Version 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;

IR_VERSION_2017_10_30

public static final OnnxMl.Version 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;

IR_VERSION_2017_11_3

public static final OnnxMl.Version 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;

IR_VERSION_2019_1_22

public static final OnnxMl.Version 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;

IR_VERSION_2019_3_18

public static final OnnxMl.Version 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;

IR_VERSION_2019_9_19

public static final OnnxMl.Version 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;

IR_VERSION

public static final OnnxMl.Version 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;

Field Detail

_START_VERSION_VALUE

public static final int _START_VERSION_VALUE

 proto3 requires the first enum value to be zero.
 We add this just to appease the compiler.
 

_START_VERSION = 0;

See Also:

Constant Field Values

IR_VERSION_2017_10_10_VALUE

public static final int IR_VERSION_2017_10_10_VALUE

 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;

See Also:

Constant Field Values

IR_VERSION_2017_10_30_VALUE

public static final int IR_VERSION_2017_10_30_VALUE

 IR_VERSION 2 published on Oct 30, 2017
 - Added type discriminator to AttributeProto to support proto3 users
 

IR_VERSION_2017_10_30 = 2;

See Also:

Constant Field Values

IR_VERSION_2017_11_3_VALUE

public static final int IR_VERSION_2017_11_3_VALUE

 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;

See Also:

Constant Field Values

IR_VERSION_2019_1_22_VALUE

public static final int IR_VERSION_2019_1_22_VALUE

 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;

See Also:

Constant Field Values

IR_VERSION_2019_3_18_VALUE

public static final int IR_VERSION_2019_3_18_VALUE

 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;

See Also:

Constant Field Values

IR_VERSION_2019_9_19_VALUE

public static final int IR_VERSION_2019_9_19_VALUE

 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;

See Also:

Constant Field Values

IR_VERSION_VALUE

public static final int IR_VERSION_VALUE

 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;

See Also:

Constant Field Values

Method Detail

values

public static OnnxMl.Version[] values()

Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows:

for (OnnxMl.Version c : OnnxMl.Version.values())
    System.out.println(c);

Returns:

an array containing the constants of this enum type, in the order they are declared

valueOf

public static OnnxMl.Version valueOf(java.lang.String name)

Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (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:

java.lang.IllegalArgumentException - if this enum type has no constant with the specified name

java.lang.NullPointerException - if the argument is null

getNumber

public final int getNumber()

Specified by:

getNumber in interface com.google.protobuf.Internal.EnumLite

Specified by:

getNumber in interface com.google.protobuf.ProtocolMessageEnum

valueOf

@Deprecated
public static OnnxMl.Version valueOf(int value)

Deprecated. Use forNumber(int) instead.

Parameters:

value - The numeric wire value of the corresponding enum entry.

Returns:

The enum associated with the given numeric wire value.

forNumber

public static OnnxMl.Version forNumber(int value)

Parameters:

value - The numeric wire value of the corresponding enum entry.

Returns:

The enum associated with the given numeric wire value.

internalGetValueMap

public static com.google.protobuf.Internal.EnumLiteMap<OnnxMl.Version> internalGetValueMap()

getValueDescriptor

public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor()

Specified by:

getValueDescriptor in interface com.google.protobuf.ProtocolMessageEnum

getDescriptorForType

public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType()

Specified by:

getDescriptorForType in interface com.google.protobuf.ProtocolMessageEnum

getDescriptor

public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor()

valueOf

public static OnnxMl.Version valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc)