Object/Class

com.intel.analytics.bigdl.nn

VolumetricAveragePooling

Related Docs: class VolumetricAveragePooling | package nn

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object VolumetricAveragePooling extends ModuleSerializable with Serializable

Linear Supertypes
Serializable, Serializable, ModuleSerializable, Savable, Loadable, AnyRef, Any
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Inherited
  1. VolumetricAveragePooling
  2. Serializable
  3. Serializable
  4. ModuleSerializable
  5. Savable
  6. Loadable
  7. AnyRef
  8. Any
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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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    Definition Classes
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  4. var _copyWeightAndBias: Boolean

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    Attributes
    protected
    Definition Classes
    ModuleSerializable
  5. def apply[T](kT: Int, kW: Int, kH: Int, dT: Int, dW: Int, dH: Int, padT: Int = 0, padW: Int = 0, padH: Int = 0, countIncludePad: Boolean = true, ceilMode: Boolean = false)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): VolumetricAveragePooling[T]

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  6. final def asInstanceOf[T0]: T0

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

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    Convert Attr Value object to Array of Float

    Convert Attr Value object to Array of Float

    returns

    Array[Float]

    Attributes
    protected
    Definition Classes
    ModuleSerializable
  8. def checkVersion[T](module: BigDLModule)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

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    Attributes
    protected
    Definition Classes
    ModuleSerializable
  9. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  10. def copy2BigDL[T](context: DeserializeContext, module: ModuleData[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

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

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

    context

    deserialized context

    module

    bigDL Module with relationships

    Attributes
    protected
    Definition Classes
    ModuleSerializable
  11. def copyFromBigDL[T](context: SerializeContext[T], modelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

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

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

    context

    serialization context

    modelBuilder

    serialized module builder

    Attributes
    protected
    Definition Classes
    ModuleSerializable
  12. def copyWeightAndBias(): Boolean

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    Attributes
    protected
    Definition Classes
    ModuleSerializable
  13. def createBigDLModule[T](context: DeserializeContext, module: AbstractModule[Activity, Activity, T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): ModuleData[T]

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    Re-create BigDL module by deserializing protobuf context.

    Re-create BigDL module by deserializing protobuf context.

    context

    Deserialization context

    module

    The BigDL module to be re-created

    returns

    Tuple3 contains information of current module and modules adjacent to it

    Attributes
    protected
    Definition Classes
    ModuleSerializable
  14. def createSerializeBigDLModule[T](modelBuilder: Builder, context: SerializeContext[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): SerializeResult

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    Attributes
    protected
    Definition Classes
    ModuleSerializable
  15. def doLoadModule[T](context: DeserializeContext)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): AbstractModule[Activity, Activity, T]

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    Default deserialization using reflection

    Default deserialization using reflection

    context

    deserialize context

    returns

    BigDL module

    Attributes
    protected
    Definition Classes
    ModuleSerializable
  16. def doSerializeModule[T](context: SerializeContext[T], bigDLModelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

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    Attributes
    protected
    Definition Classes
    ModuleSerializable
  17. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  18. def equals(arg0: Any): Boolean

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  19. def finalize(): Unit

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

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    Definition Classes
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  21. def getLock: AnyRef

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    Attributes
    protected
    Definition Classes
    ModuleSerializable
  22. def getTypes(context: DeserializeContext): (Array[ClassTag[_]], Array[TensorNumeric[_]])

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    protected
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    ModuleSerializable
  23. def hashCode(): Int

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  24. final def isInstanceOf[T0]: Boolean

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

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    Default deserialization to provide the template

    Default deserialization to provide the template

    returns

    BigDL module instance with linkages with other modules

    Definition Classes
    ModuleSerializableLoadable
  26. val lock: AnyRef

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    Attributes
    protected
    Definition Classes
    ModuleSerializable
  27. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  28. final def notify(): Unit

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    Definition Classes
    AnyRef
  29. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  30. def saveMklInt8Attr[T](module: MklInt8Convertible, modelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

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

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

    modelBuilder

    serialized module builder

    Attributes
    protected
    Definition Classes
    ModuleSerializable
  31. def serializeModule[T](context: SerializeContext[T])(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): SerializeResult

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    Default serialization skeleton using reflection

    Default serialization skeleton using reflection

    context

    Serialization context

    returns

    serialized protobuf module instace

    Definition Classes
    ModuleSerializableSavable
  32. def setCopyWeightAndBias(copyWeightAndBias: Boolean): VolumetricAveragePooling.this.type

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    Definition Classes
    ModuleSerializable
  33. def setDataTypes[T](context: SerializeContext[T], bigDLModelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

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    Attributes
    protected
    Definition Classes
    ModuleSerializable
  34. def setVersion[T](modelBuilder: Builder)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

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    Attributes
    protected
    Definition Classes
    ModuleSerializable
  35. final def synchronized[T0](arg0: ⇒ T0): T0

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    AnyRef
  36. def toString(): String

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  37. final def wait(): Unit

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

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    Annotations
    @throws( ... )
  39. final def wait(arg0: Long): Unit

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    Definition Classes
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    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from ModuleSerializable

Inherited from Savable

Inherited from Loadable

Inherited from AnyRef

Inherited from Any

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