object Version extends GeneratedEnumCompanion[Version]
- Alphabetic
- By Inheritance
- Version
- GeneratedEnumCompanion
- Serializable
- Serializable
- AnyRef
- Any
- Hide All
- Show All
- Public
- All
Type Members
- sealed trait Recognized extends Version
-
final
case class
Unrecognized(unrecognizedValue: Int) extends Version with UnrecognizedEnum with Product with Serializable
- Annotations
- @SerialVersionUID()
-
type
ValueType = Version
- Definition Classes
- GeneratedEnumCompanion
Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native() @HotSpotIntrinsicCandidate()
- implicit def enumCompanion: GeneratedEnumCompanion[Version]
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
fromName(name: String): Option[Version]
- Definition Classes
- GeneratedEnumCompanion
-
def
fromValue(__value: Int): Version
- Definition Classes
- Version → GeneratedEnumCompanion
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
def
javaDescriptor: EnumDescriptor
- Definition Classes
- Version → GeneratedEnumCompanion
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
-
def
scalaDescriptor: EnumDescriptor
- Definition Classes
- Version → GeneratedEnumCompanion
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
toString(): String
- Definition Classes
- AnyRef → Any
-
lazy val
values: Seq[Recognized]
- Definition Classes
- Version → GeneratedEnumCompanion
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
object
IR_VERSION extends Version with Recognized with Product with Serializable
IR VERSION 8 published on <TBD> Introduce TypeProto.SparseTensor Introduce TypeProto.Optional Added a list of FunctionProtos local to the model Deprecated since_version and operator status from FunctionProto
IR VERSION 8 published on <TBD> Introduce TypeProto.SparseTensor Introduce TypeProto.Optional Added a list of FunctionProtos local to the model Deprecated since_version and operator status from FunctionProto
- Annotations
- @SerialVersionUID()
-
object
IR_VERSION_2017_10_10 extends Version with Recognized with Product with Serializable
The version field is always serialized and we will use it to store the version that the graph is generated from.
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.
- Annotations
- @SerialVersionUID()
-
object
IR_VERSION_2017_10_30 extends Version with Recognized with Product with Serializable
IR_VERSION 2 published on Oct 30, 2017 - Added type discriminator to AttributeProto to support proto3 users
IR_VERSION 2 published on Oct 30, 2017 - Added type discriminator to AttributeProto to support proto3 users
- Annotations
- @SerialVersionUID()
-
object
IR_VERSION_2017_11_3 extends Version with Recognized with Product with Serializable
IR VERSION 3 published on Nov 3, 2017 - For operator versioning:
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
- Annotations
- @SerialVersionUID()
-
object
IR_VERSION_2019_1_22 extends Version with Recognized with Product with Serializable
IR VERSION 4 published on Jan 22, 2019 - Relax constraint that initializers should be a subset of graph inputs - Add type BFLOAT16
IR VERSION 4 published on Jan 22, 2019 - Relax constraint that initializers should be a subset of graph inputs - Add type BFLOAT16
- Annotations
- @SerialVersionUID()
-
object
IR_VERSION_2019_3_18 extends Version with Recognized with Product with Serializable
IR VERSION 5 published on March 18, 2019 - Add message TensorAnnotation.
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.
- Annotations
- @SerialVersionUID()
-
object
IR_VERSION_2019_9_19 extends Version with Recognized with Product with Serializable
IR VERSION 6 published on Sep 19, 2019 - Add support for sparse tensor constants stored in model.
IR VERSION 6 published on Sep 19, 2019 - Add support for sparse tensor constants stored in model.
- Add message SparseTensorProto
- Add sparse initializers
- Annotations
- @SerialVersionUID()
-
object
IR_VERSION_2020_5_8 extends Version with Recognized with Product with Serializable
IR VERSION 7 published on May 8, 2020 - Add support to allow function body graph to rely on multiple external opreator sets.
IR VERSION 7 published on May 8, 2020 - 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.
- Annotations
- @SerialVersionUID()
-
object
_START_VERSION extends Version with Recognized with Product with Serializable
proto3 requires the first enum value to be zero.
proto3 requires the first enum value to be zero. We add this just to appease the compiler.
- Annotations
- @SerialVersionUID()
Deprecated Value Members
-
def
finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] ) @Deprecated
- Deprecated