QuantSerializer

abstract def loadWeight[T](context: DeserializeContext, module: ModuleData[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

abstract def serializeWeight[T](context: SerializeContext[T], modelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

var _copyWeightAndBias: Boolean

final def asInstanceOf[T0]: T0

def attrValueToFloatArray(attr: AttrValue): Array[Float]

Convert Attr Value object to Array of Float

def checkVersion[T](module: BigDLModule)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

def clone(): AnyRef

def copy2BigDL[T](context: DeserializeContext, module: ModuleData[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

copy serialized data (weight and bias if exist) to BigDL module

def copyFromBigDL[T](context: SerializeContext[T], modelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

copy BigDL module data (weight and bias if exist) to BigDL Model to be persisted

def copyWeightAndBias(): Boolean

def createBigDLModule[T](context: DeserializeContext, module: AbstractModule[Activity, Activity, T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): ModuleData[T]

Re-create BigDL module by deserializing protobuf context.

def createSerializeBigDLModule[T](modelBuilder: Builder, context: SerializeContext[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): SerializeResult

def doLoadModule[T](context: DeserializeContext)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): AbstractModule[Activity, Activity, T]

Default deserialization using reflection

def doSerializeModule[T](context: SerializeContext[T], bigDLModelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def getLock: AnyRef

def getTypes(context: DeserializeContext): (Array[ClassTag[_]], Array[TensorNumeric[_]])

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

def loadBias[T](context: DeserializeContext, moduleData: ModuleData[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

def loadModule[T](context: DeserializeContext)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): ModuleData[T]

Default deserialization to provide the template

def loadOthers[T](context: DeserializeContext, module: ModuleData[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

val lock: AnyRef

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def saveMklInt8Attr[T](module: MklInt8Convertible, modelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

Serialize and save MKL DNN INT8 attributes into BigDL Model of protobuf definition

def serializeBias[T](context: SerializeContext[T], modelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

def serializeModule[T](context: SerializeContext[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): SerializeResult

Default serialization skeleton using reflection

def serializeOthers[T](context: SerializeContext[T], modelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

def setCopyWeightAndBias(copyWeightAndBias: Boolean): QuantSerializer.this.type

def setDataTypes[T](context: SerializeContext[T], bigDLModelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

def setVersion[T](modelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

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

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit