c

com.intel.analytics.bigdl.utils.intermediate

IRSpatialShareConvolution

case class IRSpatialShareConvolution[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$5: 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. IRSpatialShareConvolution
  2. Product
  3. Equals
  4. IROperator
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new IRSpatialShareConvolution(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])

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. val bRegularizer: Regularizer[T]
  6. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  7. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  8. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  9. val format: DataFormat
  10. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  11. def getClassTagNumerics(): (Array[ClassTag[_]], Array[TensorNumeric[_]])
    Definition Classes
    IROperator
  12. final def getNumerics[T](tag: ClassTag[T]): TensorNumeric[T]
    Definition Classes
    IROperator
  13. val initBias: Tensor[T]
  14. val initGradBias: Tensor[T]
  15. val initGradWeight: Tensor[T]
  16. val initWeight: Tensor[T]
  17. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  18. val kernelH: Int
  19. val kernelW: Int
  20. val nGroup: Int
  21. val nInputPlane: Int
  22. val nOutputPlane: Int
  23. def name: String
    Definition Classes
    IROperator
  24. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  25. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  26. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  27. val numerics: TensorNumeric[T]
    Definition Classes
    IROperator
  28. val padH: Int
  29. val padW: Int
  30. val propagateBack: Boolean
  31. val strideH: Int
  32. val strideW: Int
  33. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  34. val wRegularizer: Regularizer[T]
  35. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  36. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  37. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )
  38. 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

Ungrouped