PredictRequest

PredictRequest specifies which TensorFlow model to run, as well as how inputs are mapped to tensors and how outputs are filtered before returning to user.

modelSpec: Model Specification.
inputs: Input tensors. Names of input tensor are alias names. The mapping from aliases to real input tensor names is stored in the SavedModel export as a prediction SignatureDef under the 'inputs' field.
outputFilter: Output filter. Names specified are alias names. The mapping from aliases to real output tensor names is stored in the SavedModel export as a prediction SignatureDef under the 'outputs' field. Only tensors specified here will be run/fetched and returned, with the exception that when none is specified, all tensors specified in the named signature will be run/fetched and returned.

Annotations: @SerialVersionUID()

Linear Supertypes

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

Instance Constructors

new PredictRequest(modelSpec: Option[ModelSpec] = None, inputs: Map[String, TensorProto] = ..., outputFilter: Seq[String] = _root_.scala.collection.Seq.empty)

modelSpec
Model Specification.
inputs
Input tensors. Names of input tensor are alias names. The mapping from aliases to real input tensor names is stored in the SavedModel export as a prediction SignatureDef under the 'inputs' field.
outputFilter
Output filter. Names specified are alias names. The mapping from aliases to real output tensor names is stored in the SavedModel export as a prediction SignatureDef under the 'outputs' field. Only tensors specified here will be run/fetched and returned, with the exception that when none is specified, all tensors specified in the named signature will be run/fetched and returned.

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 addAllInputs(__vs: TraversableOnce[(String, TensorProto)]): PredictRequest
def addAllOutputFilter(__vs: TraversableOnce[String]): PredictRequest
def addInputs(__vs: (String, TensorProto)*): PredictRequest
def addOutputFilter(__vs: String*): PredictRequest
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clearInputs: PredictRequest
def clearModelSpec: PredictRequest
def clearOutputFilter: PredictRequest
def clone(): AnyRef

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

Definition Classes
PredictRequest → GeneratedMessage
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

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

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

Definition Classes
PredictRequest → GeneratedMessage
def getModelSpec: ModelSpec
val inputs: Map[String, TensorProto]

Input tensors.
Input tensors. Names of input tensor are alias names. The mapping from aliases to real input tensor names is stored in the SavedModel export as a prediction SignatureDef under the 'inputs' field.
final def isInstanceOf[T0]: Boolean

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

Definition Classes
PredictRequest → Message
val modelSpec: Option[ModelSpec]

Model Specification.
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val outputFilter: Seq[String]

Output filter.
Output filter. Names specified are alias names. The mapping from aliases to real output tensor names is stored in the SavedModel export as a prediction SignatureDef under the 'outputs' field. Only tensors specified here will be run/fetched and returned, with the exception that when none is specified, all tensors specified in the named signature will be run/fetched and returned.
final def serializedSize: Int

Definition Classes
PredictRequest → GeneratedMessage
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toByteArray: Array[Byte]

Definition Classes
GeneratedMessage
def toByteString: ByteString

Definition Classes
GeneratedMessage
def toPMessage: PMessage

Definition Classes
GeneratedMessage
def toString(): String

Definition Classes
PredictRequest → AnyRef → Any
def update(ms: (Lens[PredictRequest, PredictRequest]) ⇒ Mutation[PredictRequest]*): PredictRequest

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 withInputs(__v: Map[String, TensorProto]): PredictRequest
def withModelSpec(__v: ModelSpec): PredictRequest
def withOutputFilter(__v: Seq[String]): PredictRequest
def writeDelimitedTo(output: OutputStream): Unit

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

Definition Classes
PredictRequest → 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 PredictRequest | package predict

final case class PredictRequest(modelSpec: Option[ModelSpec] = None, inputs: Map[String, TensorProto] = ..., outputFilter: Seq[String] = _root_.scala.collection.Seq.empty) extends GeneratedMessage with Message[PredictRequest] with Updatable[PredictRequest] with Product with Serializable

Instance Constructors

new PredictRequest(modelSpec: Option[ModelSpec] = None, inputs: Map[String, TensorProto] = ..., outputFilter: Seq[String] = _root_.scala.collection.Seq.empty)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

def addAllInputs(__vs: TraversableOnce[(String, TensorProto)]): PredictRequest

def addAllOutputFilter(__vs: TraversableOnce[String]): PredictRequest

def addInputs(__vs: (String, TensorProto)*): PredictRequest

def addOutputFilter(__vs: String*): PredictRequest

final def asInstanceOf[T0]: T0

def clearInputs: PredictRequest

def clearModelSpec: PredictRequest

def clearOutputFilter: PredictRequest

def clone(): AnyRef

def companion: PredictRequest.type

final def eq(arg0: AnyRef): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def getField(__field: FieldDescriptor): PValue

def getFieldByNumber(__fieldNumber: Int): Any

def getModelSpec: ModelSpec

val inputs: Map[String, TensorProto]

final def isInstanceOf[T0]: Boolean

def mergeFrom(_input__: CodedInputStream): PredictRequest

val modelSpec: Option[ModelSpec]

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

val outputFilter: Seq[String]

final def serializedSize: Int

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

def toByteArray: Array[Byte]

def toByteString: ByteString

def toPMessage: PMessage

def toString(): String

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

final def wait(): Unit

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

final def wait(arg0: Long): Unit

def withInputs(__v: Map[String, TensorProto]): PredictRequest

def withModelSpec(__v: ModelSpec): PredictRequest

def withOutputFilter(__v: Seq[String]): PredictRequest

def writeDelimitedTo(output: OutputStream): Unit

def writeTo(_output__: CodedOutputStream): Unit

def writeTo(output: OutputStream): Unit

Deprecated Value Members

def getAllFields: Map[FieldDescriptor, Any]

def getField(field: FieldDescriptor): Any

Inherited from Product

Inherited from Equals

Inherited from Updatable[PredictRequest]

Inherited from Message[PredictRequest]

Inherited from GeneratedMessage

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped