Class/Object

com.intel.analytics.bigdl.models.utils

ModelBroadcast

Related Docs: object ModelBroadcast | package utils

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class ModelBroadcast[T] extends Serializable

ModelBroadcast is used to broadcast model when doing model inference. Note: do not use it in model training since the broadcast models share weights and biases It shortens the broadcast time, which is especially useful when the model size is large

T

data type

Linear Supertypes
Serializable, Serializable, AnyRef, Any
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  1. ModelBroadcast
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Instance Constructors

  1. new ModelBroadcast()(implicit arg0: ClassTag[T], ev: TensorNumeric[T])

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Value Members

  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 broadcast(sc: SparkContext, model: Module[T]): ModelBroadcast.this.type

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    broadcast the model first get and clear the weight and bias parameters from the model then broadcast the parameters and model(without parameters) separately

    broadcast the model first get and clear the weight and bias parameters from the model then broadcast the parameters and model(without parameters) separately

    sc

    SparkContext

    model

    model to broadcast

    returns

    this

  6. def clone(): AnyRef

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    protected[java.lang]
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  7. final def eq(arg0: AnyRef): Boolean

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

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

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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

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  17. def toString(): String

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  18. def value(): Module[T]

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    get the broadcast model put the weight and bias back to the model

    get the broadcast model put the weight and bias back to the model

    returns

    model

  19. final def wait(): Unit

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    @throws( ... )

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

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

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Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

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