com.intel.analytics.bigdl.utils.caffe

LayerConverter

class LayerConverter[T] extends Converter[T]

Converter implementation for caffe recommended LayerParameter conversion

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Converter[T], AnyRef, Any
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  1. LayerConverter
  2. Converter
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Instance Constructors

  1. new LayerConverter()(implicit arg0: ClassTag[T], ev: TensorNumeric[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. def clone(): AnyRef

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

  8. def convertLayerFromCaffe(layer: GeneratedMessage): Seq[ModuleNode[T]]

    Definition Classes
    Converter

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

    Definition Classes
    AnyRef

  10. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  11. def finalize(): Unit

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

  12. def fromCaffeBatchNormalization(layer: GeneratedMessage): Seq[ModuleNode[T]]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  13. def fromCaffeBias(layer: GeneratedMessage): Seq[ModuleNode[T]]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  14. def fromCaffeConvolution(layer: GeneratedMessage): Seq[ModuleNode[T]]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  15. def fromCaffeELU(layer: GeneratedMessage): Seq[ModuleNode[T]]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  16. def fromCaffeInnerProduct(layer: GeneratedMessage): Seq[ModuleNode[T]]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  17. def fromCaffeReLU(layer: GeneratedMessage): Seq[ModuleNode[T]]

    Attributes
    protected
    Definition Classes
    Converter

  18. def fromCaffeReshape(layer: GeneratedMessage): Seq[ModuleNode[T]]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  19. def fromCaffeScale(layer: GeneratedMessage): Seq[ModuleNode[T]]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  20. def fromCaffeTile(layer: GeneratedMessage): Seq[ModuleNode[T]]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

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

    Definition Classes
    AnyRef → Any

  22. def getConcatParam(layer: GeneratedMessage): Option[ConcatParameter]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  23. def getConvolutionParam(layer: GeneratedMessage): Option[ConvolutionParameter]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  24. def getDropoutParam(layer: GeneratedMessage): Option[DropoutParameter]

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    protected
    Definition Classes
    LayerConverter → Converter

  25. def getEltWiseParam(layer: GeneratedMessage): Option[EltwiseParameter]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  26. def getInnerProductParam(layer: GeneratedMessage): Option[InnerProductParameter]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  27. def getLRNParam(layer: GeneratedMessage): Option[LRNParameter]

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    protected
    Definition Classes
    LayerConverter → Converter

  28. def getLayerName(layer: GeneratedMessage): String

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    protected
    Definition Classes
    LayerConverter → Converter

  29. def getLayerType(layer: GeneratedMessage): String

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    protected
    Definition Classes
    LayerConverter → Converter

  30. def getPoolingParam(layer: GeneratedMessage): Option[PoolingParameter]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  31. def getPowerParam(layer: GeneratedMessage): Option[PowerParameter]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  32. def getSliceParam(layer: GeneratedMessage): Option[SliceParameter]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  33. def getThresholdParam(layer: GeneratedMessage): Option[ThresholdParameter]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  34. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  35. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  37. final def notify(): Unit

    Definition Classes
    AnyRef

  38. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  39. def registerCutomizedConverter(layerType: String, converter: (GeneratedMessage) ⇒ Seq[ModuleNode[T]]): Unit

    Definition Classes
    Converter

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

    Definition Classes
    AnyRef

  41. def toCaffe(moduleNode: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Definition Classes
    Converter

  42. def toCaffeAbs(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  43. def toCaffeAvePooling(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  44. def toCaffeAvgPoolingParam(module: AbstractModule[Activity, Tensor[T], T]): PoolingParameter

    Attributes
    protected
    Definition Classes
    Converter

  45. def toCaffeBatchNormParam(module: AbstractModule[Activity, Tensor[T], T]): Double

    Attributes
    protected
    Definition Classes
    Converter

  46. def toCaffeBatchNormalization(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  47. def toCaffeBias(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  48. def toCaffeConcat(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  49. def toCaffeConcatParam(module: AbstractModule[Activity, Tensor[T], T]): Int

    Attributes
    protected
    Definition Classes
    Converter

  50. def toCaffeConvolution(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  51. def toCaffeConvolutionParam(module: AbstractModule[Activity, Tensor[T], T]): HashMap[String, Int]

    Attributes
    protected
    Definition Classes
    Converter

  52. def toCaffeDropOut(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  53. def toCaffeDropOutParam(module: AbstractModule[Activity, Tensor[T], T]): Double

    Attributes
    protected
    Definition Classes
    Converter

  54. def toCaffeEltWiseAdd(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  55. def toCaffeEltWiseMax(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  56. def toCaffeEltWiseSub(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  57. def toCaffeElu(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  58. def toCaffeEluParam(module: AbstractModule[Activity, Tensor[T], T]): ELUParameter

    Attributes
    protected
    Definition Classes
    Converter

  59. def toCaffeExp(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
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    Definition Classes
    LayerConverter → Converter

  60. def toCaffeFlattern(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
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    Definition Classes
    LayerConverter → Converter

  61. def toCaffeInnerProduct(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  62. def toCaffeInnerProductParam(module: AbstractModule[Activity, Tensor[T], T]): (Int, Int, Boolean)

    Attributes
    protected
    Definition Classes
    Converter

  63. def toCaffeLRN(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  64. def toCaffeLRNParam(module: AbstractModule[Activity, Tensor[T], T]): (Int, Double, Double, Double)

    Attributes
    protected
    Definition Classes
    Converter

  65. def toCaffeLog(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  66. def toCaffeLogSoftMax(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  67. def toCaffeMaxPooling(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  68. def toCaffeMaxPoolingParam(module: AbstractModule[Activity, Tensor[T], T]): PoolingParameter

    Attributes
    protected
    Definition Classes
    Converter

  69. def toCaffePReLu(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  70. def toCaffePower(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  71. def toCaffePowerParam(module: AbstractModule[Activity, Tensor[T], T]): PowerParameter

    Attributes
    protected
    Definition Classes
    Converter

  72. def toCaffeRecurrent(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  73. def toCaffeRelu(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  74. def toCaffeReshape(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  75. def toCaffeReshapeParam(module: AbstractModule[Activity, Tensor[T], T]): ReshapeParameter

    Attributes
    protected
    Definition Classes
    Converter

  76. def toCaffeScalaParam(module: AbstractModule[Activity, Tensor[T], T]): BlobShape

    Attributes
    protected
    Definition Classes
    Converter

  77. def toCaffeScale(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  78. def toCaffeSequential(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
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    Definition Classes
    LayerConverter → Converter

  79. def toCaffeSigmoid(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

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    Definition Classes
    LayerConverter → Converter

  80. def toCaffeSlice(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
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    Definition Classes
    LayerConverter → Converter

  81. def toCaffeSliceParam(module: AbstractModule[Activity, Tensor[T], T]): SliceParameter

    Attributes
    protected
    Definition Classes
    Converter

  82. def toCaffeTanh(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  83. def toCaffeThreshold(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  84. def toCaffeThresholdParam(module: AbstractModule[Activity, Tensor[T], T]): ThresholdParameter

    Attributes
    protected
    Definition Classes
    Converter

  85. def toCaffeTile(module: AbstractModule[Activity, Tensor[T], T], bottoms: ArrayBuffer[String], nextSize: Int): Seq[GeneratedMessage]

    Attributes
    protected
    Definition Classes
    LayerConverter → Converter

  86. def toCaffeTileParam(module: AbstractModule[Activity, Tensor[T], T]): TileParameter

    Attributes
    protected
    Definition Classes
    Converter

  87. def toString(): String

    Definition Classes
    AnyRef → Any

  88. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
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    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Converter[T]

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