ModuleLoader

Value Members

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

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

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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

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6. final def asInstanceOf[T0]: T0

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7. def clone(): AnyRef

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8. final def eq(arg0: AnyRef): Boolean

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9. def equals(arg0: Any): Boolean

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10. def finalize(): Unit

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11. final def getClass(): Class[_]

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12. def hashCode(): Int

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13. final def isInstanceOf[T0]: Boolean

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14. 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

15. def loadFromFile[T](modelPath: String)(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

    ev

    numeric ops

    returns

    loaded BigDL module

16. final def ne(arg0: AnyRef): Boolean

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17. final def notify(): Unit

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18. final def notifyAll(): Unit

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

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20. def toString(): String

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21. final def wait(): Unit

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

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23. final def wait(arg0: Long): Unit

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