AttributeProto

Attributes

A named attribute containing either singular float, integer, string, graph, and tensor values, or repeated float, integer, string, graph, and tensor values. An AttributeProto MUST contain the name field, and *only one* of the following content fields, effectively enforcing a C/C++ union equivalent.

name: The name field MUST be present for this version of the IR. namespace Attribute
refAttrName: if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function. In this case, this AttributeProto does not contain data, and it's a reference of attribute in parent scope. NOTE: This should ONLY be used in function (sub-graph). It's invalid to be used in main graph.
docString: A human-readable documentation for this attribute. Markdown is allowed.
type: The type field MUST be present for this version of the IR. For 0.0.1 versions of the IR, this field was not defined, and implementations needed to use has_field hueristics to determine which value field was in use. For IR_VERSION 0.0.2 or later, this field MUST be set and match the f|i|s|t|... field in use. This change was made to accomodate proto3 implementations. discriminator that indicates which field below is in use
f: Exactly ONE of the following fields must be present for this version of the IR float
i: int
s: UTF-8 string
t: tensor value
g: graph
floats: list of floats
ints: list of ints
strings: list of UTF-8 strings
tensors: list of tensors
graphs: list of graph

Annotations: @SerialVersionUID()

Linear Supertypes

Product, Equals, Updatable[AttributeProto], Message[AttributeProto], GeneratedMessage, Serializable, Serializable, AnyRef, Any

Instance Constructors

new AttributeProto(name: String = "", refAttrName: String = "", docString: String = "", type: AttributeType = ..., f: Float = 0.0f, i: Long = 0L, s: ByteString = ..., t: Option[TensorProto] = None, g: Option[GraphProto] = None, floats: Seq[Float] = _root_.scala.collection.Seq.empty, ints: Seq[Long] = _root_.scala.collection.Seq.empty, strings: Seq[ByteString] = _root_.scala.collection.Seq.empty, tensors: Seq[TensorProto] = _root_.scala.collection.Seq.empty, graphs: Seq[GraphProto] = _root_.scala.collection.Seq.empty)

name
The name field MUST be present for this version of the IR. namespace Attribute
refAttrName
if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function. In this case, this AttributeProto does not contain data, and it's a reference of attribute in parent scope. NOTE: This should ONLY be used in function (sub-graph). It's invalid to be used in main graph.
docString
A human-readable documentation for this attribute. Markdown is allowed.
type
The type field MUST be present for this version of the IR. For 0.0.1 versions of the IR, this field was not defined, and implementations needed to use has_field hueristics to determine which value field was in use. For IR_VERSION 0.0.2 or later, this field MUST be set and match the f|i|s|t|... field in use. This change was made to accomodate proto3 implementations. discriminator that indicates which field below is in use
f
Exactly ONE of the following fields must be present for this version of the IR float
i
int
s
UTF-8 string
t
tensor value
g
graph
floats
list of floats
ints
list of ints
strings
list of UTF-8 strings
tensors
list of tensors
graphs
list of graph

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
def addAllFloats(__vs: TraversableOnce[Float]): AttributeProto
def addAllGraphs(__vs: TraversableOnce[GraphProto]): AttributeProto
def addAllInts(__vs: TraversableOnce[Long]): AttributeProto
def addAllStrings(__vs: TraversableOnce[ByteString]): AttributeProto
def addAllTensors(__vs: TraversableOnce[TensorProto]): AttributeProto
def addFloats(__vs: Float*): AttributeProto
def addGraphs(__vs: GraphProto*): AttributeProto
def addInts(__vs: Long*): AttributeProto
def addStrings(__vs: ByteString*): AttributeProto
def addTensors(__vs: TensorProto*): AttributeProto
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clearFloats: AttributeProto
def clearG: AttributeProto
def clearGraphs: AttributeProto
def clearInts: AttributeProto
def clearStrings: AttributeProto
def clearT: AttributeProto
def clearTensors: AttributeProto
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def companion: AttributeProto.type

Definition Classes
AttributeProto → GeneratedMessage
val docString: String

A human-readable documentation for this attribute.
A human-readable documentation for this attribute. Markdown is allowed.
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
val f: Float

Exactly ONE of the following fields must be present for this version of the IR float
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
val floats: Seq[Float]

list of floats
val g: Option[GraphProto]

graph
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def getField(__field: FieldDescriptor): PValue

Definition Classes
AttributeProto → GeneratedMessage
def getFieldByNumber(__fieldNumber: Int): Any

Definition Classes
AttributeProto → GeneratedMessage
def getG: GraphProto
def getT: TensorProto
val graphs: Seq[GraphProto]

list of graph
val i: Long

int
val ints: Seq[Long]

list of ints
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def mergeFrom(_input__: CodedInputStream): AttributeProto

Definition Classes
AttributeProto → Message
val name: String

The name field MUST be present for this version of the IR.
The name field MUST be present for this version of the IR. namespace Attribute
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val refAttrName: String

if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function.
if ref_attr_name is not empty, ref_attr_name is the attribute name in parent function. In this case, this AttributeProto does not contain data, and it's a reference of attribute in parent scope. NOTE: This should ONLY be used in function (sub-graph). It's invalid to be used in main graph.
val s: ByteString

UTF-8 string
final def serializedSize: Int

Definition Classes
AttributeProto → GeneratedMessage
val strings: Seq[ByteString]

list of UTF-8 strings
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
val t: Option[TensorProto]

tensor value
val tensors: Seq[TensorProto]

list of tensors
def toByteArray: Array[Byte]

Definition Classes
GeneratedMessage
def toByteString: ByteString

Definition Classes
GeneratedMessage
def toPMessage: PMessage

Definition Classes
GeneratedMessage
def toProtoString: String

Definition Classes
AttributeProto → GeneratedMessage
val type: AttributeType

The type field MUST be present for this version of the IR.
The type field MUST be present for this version of the IR. For 0.0.1 versions of the IR, this field was not defined, and implementations needed to use has_field hueristics to determine which value field was in use. For IR_VERSION 0.0.2 or later, this field MUST be set and match the f|i|s|t|... field in use. This change was made to accomodate proto3 implementations. discriminator that indicates which field below is in use
def update(ms: (Lens[AttributeProto, AttributeProto]) ⇒ Mutation[AttributeProto]*): AttributeProto

Definition Classes
Updatable
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
def withDocString(__v: String): AttributeProto
def withF(__v: Float): AttributeProto
def withFloats(__v: Seq[Float]): AttributeProto
def withG(__v: GraphProto): AttributeProto
def withGraphs(__v: Seq[GraphProto]): AttributeProto
def withI(__v: Long): AttributeProto
def withInts(__v: Seq[Long]): AttributeProto
def withName(__v: String): AttributeProto
def withRefAttrName(__v: String): AttributeProto
def withS(__v: ByteString): AttributeProto
def withStrings(__v: Seq[ByteString]): AttributeProto
def withT(__v: TensorProto): AttributeProto
def withTensors(__v: Seq[TensorProto]): AttributeProto
def withType(__v: AttributeType): AttributeProto
def writeDelimitedTo(output: OutputStream): Unit

Definition Classes
GeneratedMessage
def writeTo(_output__: CodedOutputStream): Unit

Definition Classes
AttributeProto → GeneratedMessage
def writeTo(output: OutputStream): Unit

Definition Classes
GeneratedMessage

Deprecated Value Members

def getAllFields: Map[FieldDescriptor, Any]

Definition Classes
GeneratedMessage
Annotations
@deprecated
Deprecated
(Since version 0.6.0) Use toPMessage
def getField(field: FieldDescriptor): Any

Definition Classes
GeneratedMessage
Annotations
@deprecated
Deprecated
(Since version 0.6.0) Use getField that accepts a ScalaPB descriptor and returns PValue

Related Docs: object AttributeProto | package onnx

Instance Constructors

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

def addAllFloats(__vs: TraversableOnce[Float]): AttributeProto

def addAllGraphs(__vs: TraversableOnce[GraphProto]): AttributeProto

def addAllInts(__vs: TraversableOnce[Long]): AttributeProto

def addAllStrings(__vs: TraversableOnce[ByteString]): AttributeProto

def addAllTensors(__vs: TraversableOnce[TensorProto]): AttributeProto

def addFloats(__vs: Float*): AttributeProto

def addGraphs(__vs: GraphProto*): AttributeProto

def addInts(__vs: Long*): AttributeProto

def addStrings(__vs: ByteString*): AttributeProto

def addTensors(__vs: TensorProto*): AttributeProto

final def asInstanceOf[T0]: T0

def clearFloats: AttributeProto

def clearG: AttributeProto

def clearGraphs: AttributeProto

def clearInts: AttributeProto

def clearStrings: AttributeProto

def clearT: AttributeProto

def clearTensors: AttributeProto

def clone(): AnyRef

def companion: AttributeProto.type

val docString: String

final def eq(arg0: AnyRef): Boolean

val f: Float

def finalize(): Unit

val floats: Seq[Float]

val g: Option[GraphProto]

final def getClass(): Class[_]

def getField(__field: FieldDescriptor): PValue

def getFieldByNumber(__fieldNumber: Int): Any

def getG: GraphProto

def getT: TensorProto

val graphs: Seq[GraphProto]

val i: Long

val ints: Seq[Long]

final def isInstanceOf[T0]: Boolean

def mergeFrom(_input__: CodedInputStream): AttributeProto

val name: String

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val refAttrName: String

val s: ByteString

final def serializedSize: Int

val strings: Seq[ByteString]

final def synchronized[T0](arg0: ⇒ T0): T0

val t: Option[TensorProto]

val tensors: Seq[TensorProto]

def toByteArray: Array[Byte]

def toByteString: ByteString

def toPMessage: PMessage

def toProtoString: String

val type: AttributeType

def update(ms: (Lens[AttributeProto, AttributeProto]) ⇒ Mutation[AttributeProto]*): AttributeProto

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

def withDocString(__v: String): AttributeProto

def withF(__v: Float): AttributeProto

def withFloats(__v: Seq[Float]): AttributeProto

def withG(__v: GraphProto): AttributeProto

def withGraphs(__v: Seq[GraphProto]): AttributeProto

def withI(__v: Long): AttributeProto

def withInts(__v: Seq[Long]): AttributeProto

def withName(__v: String): AttributeProto

def withRefAttrName(__v: String): AttributeProto

def withS(__v: ByteString): AttributeProto

def withStrings(__v: Seq[ByteString]): AttributeProto

def withT(__v: TensorProto): AttributeProto

def withTensors(__v: Seq[TensorProto]): AttributeProto

def withType(__v: AttributeType): AttributeProto

def writeDelimitedTo(output: OutputStream): Unit

def writeTo(_output__: CodedOutputStream): Unit

def writeTo(output: OutputStream): Unit