com.intel.analytics.bigdl.utils.intermediate

IRSpatialConvolution

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 = ...)(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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  1. IRSpatialConvolution
  2. Product
  3. Equals
  4. IROperator
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
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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 = ...)(implicit arg0: ClassTag[T])

Value Members

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

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

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  7. val bRegularizer: Regularizer[T]

  8. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  9. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  10. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  11. val format: DataFormat

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

    Definition Classes
    AnyRef → Any
  13. def getClassTagNumerics(): (Array[ClassTag[_]], Array[TensorNumeric[_]])

    Definition Classes
    IROperator
  14. final def getNumerics[T](tag: ClassTag[T]): TensorNumeric[T]

    Definition Classes
    IROperator
  15. val initBias: Tensor[T]

  16. val initGradBias: Tensor[T]

  17. val initGradWeight: Tensor[T]

  18. val initWeight: Tensor[T]

  19. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  20. val kernelH: Int

  21. val kernelW: Int

  22. val nGroup: Int

  23. val nInputPlane: Int

  24. val nOutputPlane: Int

  25. def name: String

    Definition Classes
    IROperator
  26. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  27. final def notify(): Unit

    Definition Classes
    AnyRef
  28. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  29. val numerics: TensorNumeric[T]

    Definition Classes
    IROperator
  30. val padH: Int

  31. val padW: Int

  32. val propagateBack: Boolean

  33. val strideH: Int

  34. val strideW: Int

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

    Definition Classes
    AnyRef
  36. val wRegularizer: Regularizer[T]

  37. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  38. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  39. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  40. val withBias: Boolean

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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