com.intel.analytics.bigdl.utils.caffe

Converter

abstract class Converter[T] extends AnyRef

An abstract class to define interfaces when loading from/to caffe models Caffe supports two kinds of layer definition LayerParameter & V1LayerParameter Implementation V1LayerConverter and LayerConverter V1LayerParameter is not recommended any more but we need to support old-versioned model

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Known Subclasses
LayerConverter, V1LayerConverter
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Instance Constructors

  1. new Converter()(implicit arg0: ClassTag[T], ev: TensorNumeric[T])

Abstract Value Members

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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  15. abstract def getLayerName(layer: GeneratedMessage): String

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  16. abstract def getLayerType(layer: GeneratedMessage): String

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Concrete Value Members

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

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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

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

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  14. def hashCode(): Int

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  15. final def isInstanceOf[T0]: Boolean

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

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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  37. def toString(): String

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  38. final def wait(): Unit

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

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

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