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1.  final def !=(arg0: Any): Boolean

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2.  final def ##(): Int

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3.  final def ==(arg0: Any): Boolean

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4.  final def asInstanceOf[T0]: T0

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5.  def clone(): AnyRef

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6.  final def eq(arg0: AnyRef): Boolean

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7.  def equals(arg0: Any): Boolean

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8.  def finalize(): Unit

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9.  final def getClass(): Class[_]

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10.  def hashCode(): Int

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11.  final def isInstanceOf[T0]: Boolean

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12.  def loadFromDefinition[T](definition: AbstractModule[Activity, Activity, T], modelPath: String, layers: HashSet[String] = null)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Unit

    Load weights from modulePath and copy to pre-defined module for layers layers, copy all if not specified

    Load weights from modulePath and copy to pre-defined module for layers layers, copy all if not specified

    T

    data type

    definition

    pre-defined module

    modelPath

    path where protobuf formatted module is stored

    layers

    name list of layers weight & bias of which to be copied

    ev

    numeric ops

13.  def loadFromFile[T](modelPath: String, weightPath: String = null)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): AbstractModule[Activity, Activity, T]

    load module from modelPath

    load module from modelPath

    T

    data type

    modelPath

    path where protobuf formatted module is stored

    weightPath

    optional : weight path

    ev

    numeric ops

    returns

    loaded BigDL module

14.  final def ne(arg0: AnyRef): Boolean

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15.  final def notify(): Unit

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16.  final def notifyAll(): Unit

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17.  final def synchronized[T0](arg0: ⇒ T0): T0

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18.  def toString(): String

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19.  final def wait(): Unit

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

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21.  final def wait(arg0: Long): Unit

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