Class

com.intel.analytics.bigdl.utils.intermediate

IRSpatialBatchNormalization

Related Doc: package intermediate

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case class IRSpatialBatchNormalization[T](nOutput: Int, eps: Double = 1e-5, momentum: Double = 0.1, affine: Boolean = true, initWeight: Tensor[T] = null, initBias: Tensor[T] = null, initGradWeight: Tensor[T] = null, initGradBias: Tensor[T] = null, dataFormat: DataFormat = DataFormat.NCHW, runningMean: Tensor[T] = null, runningVar: Tensor[T] = null)(implicit evidence$6: ClassTag[T]) extends IROperator[T] with Product with Serializable

Linear Supertypes
Product, Equals, IROperator[T], Serializable, Serializable, AnyRef, Any
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Inherited
  1. IRSpatialBatchNormalization
  2. Product
  3. Equals
  4. IROperator
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
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Visibility
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Instance Constructors

  1. new IRSpatialBatchNormalization(nOutput: Int, eps: Double = 1e-5, momentum: Double = 0.1, affine: Boolean = true, initWeight: Tensor[T] = null, initBias: Tensor[T] = null, initGradWeight: Tensor[T] = null, initGradBias: Tensor[T] = null, dataFormat: DataFormat = DataFormat.NCHW, runningMean: Tensor[T] = null, runningVar: Tensor[T] = null)(implicit arg0: ClassTag[T])

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. val affine: Boolean

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  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  7. val dataFormat: DataFormat

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  8. val eps: Double

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

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    Definition Classes
    AnyRef

  10. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

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    Definition Classes
    AnyRef → Any

  12. def getClassTagNumerics(): (Array[ClassTag[_]], Array[TensorNumeric[_]])

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    Definition Classes
    IROperator

  13. final def getNumerics[T](tag: ClassTag[T]): TensorNumeric[T]

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    Definition Classes
    IROperator

  14. val initBias: Tensor[T]

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  15. val initGradBias: Tensor[T]

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  16. val initGradWeight: Tensor[T]

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  17. val initWeight: Tensor[T]

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  18. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  19. val momentum: Double

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  20. val nOutput: Int

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  21. def name: String

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    Definition Classes
    IROperator

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

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    Definition Classes
    AnyRef

  23. final def notify(): Unit

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    Definition Classes
    AnyRef

  24. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  25. val numerics: TensorNumeric[T]

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    Definition Classes
    IROperator

  26. val runningMean: Tensor[T]

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  27. val runningVar: Tensor[T]

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

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    Definition Classes
    AnyRef

  29. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Annotations
    @throws( ... )

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

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    Definition Classes
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    Annotations
    @throws( ... )

Inherited from Product

Inherited from Equals

Inherited from IROperator[T]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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