Class

com.intel.analytics.bigdl.utils.intermediate

IRSpatialConvolution

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case class IRSpatialConvolution[T](nInputPlane: Int, nOutputPlane: Int, kernelW: Int, kernelH: Int, strideW: Int = 1, strideH: Int = 1, padW: Int = 0, padH: Int = 0, nGroup: Int = 1, propagateBack: Boolean = true, wRegularizer: Regularizer[T] = null, bRegularizer: Regularizer[T] = null, initWeight: Tensor[T] = null, initBias: Tensor[T] = null, initGradWeight: Tensor[T] = null, initGradBias: Tensor[T] = null, withBias: Boolean = true, format: DataFormat = DataFormat.NCHW)(implicit evidence$4: 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. IRSpatialConvolution
  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 IRSpatialConvolution(nInputPlane: Int, nOutputPlane: Int, kernelW: Int, kernelH: Int, strideW: Int = 1, strideH: Int = 1, padW: Int = 0, padH: Int = 0, nGroup: Int = 1, propagateBack: Boolean = true, wRegularizer: Regularizer[T] = null, bRegularizer: Regularizer[T] = null, initWeight: Tensor[T] = null, initBias: Tensor[T] = null, initGradWeight: Tensor[T] = null, initGradBias: Tensor[T] = null, withBias: Boolean = true, format: DataFormat = DataFormat.NCHW)(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. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. val bRegularizer: Regularizer[T]

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  6. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  8. def finalize(): Unit

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

  9. val format: DataFormat

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    IROperator

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

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    Definition Classes
    IROperator

  13. val initBias: Tensor[T]

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  14. val initGradBias: Tensor[T]

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  15. val initGradWeight: Tensor[T]

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  16. val initWeight: Tensor[T]

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  17. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  18. val kernelH: Int

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  19. val kernelW: Int

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  20. val nGroup: Int

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  21. val nInputPlane: Int

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  22. val nOutputPlane: Int

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  23. def name: String

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    Definition Classes
    IROperator

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

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    Definition Classes
    AnyRef

  25. final def notify(): Unit

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    Definition Classes
    AnyRef

  26. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  27. val numerics: TensorNumeric[T]

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    Definition Classes
    IROperator

  28. val padH: Int

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  29. val padW: Int

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  30. val propagateBack: Boolean

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  31. val strideH: Int

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  32. val strideW: Int

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

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    Definition Classes
    AnyRef

  34. val wRegularizer: Regularizer[T]

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  35. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  38. val withBias: Boolean

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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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