Class

com.intel.analytics.zoo.pipeline.api.keras.layers.internal

InternalCAddTable

Related Doc: package internal

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class InternalCAddTable[T, D] extends CAddTable[T, D]

Linear Supertypes
CAddTable[T, D], MklInt8Convertible, AbstractModule[Table, Tensor[D], T], InferShape, Serializable, Serializable, AnyRef, Any
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Inherited
  1. InternalCAddTable
  2. CAddTable
  3. MklInt8Convertible
  4. AbstractModule
  5. InferShape
  6. Serializable
  7. Serializable
  8. AnyRef
  9. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new InternalCAddTable(inplace: Boolean = false)(implicit arg0: ClassTag[T], arg1: ClassTag[D], ev: TensorNumeric[T], ev2: TensorNumeric[D])

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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. def accGradParameters(input: Table, gradOutput: Tensor[D]): Unit

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    Definition Classes
    AbstractModule

  5. def apply(name: String): Option[AbstractModule[Activity, Activity, T]]

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    Definition Classes
    AbstractModule

  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  7. def backward(input: Table, gradOutput: Tensor[D]): Table

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    Definition Classes
    AbstractModule

  8. var backwardTime: Long

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    Attributes
    protected
    Definition Classes
    AbstractModule

  9. def clearState(): InternalCAddTable.this.type

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    Definition Classes
    CAddTable → AbstractModule

  10. final def clone(deepCopy: Boolean): AbstractModule[Table, Tensor[D], T]

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    Definition Classes
    AbstractModule

  11. def clone(): AnyRef

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

  12. final def cloneModule(): InternalCAddTable.this.type

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    Definition Classes
    AbstractModule

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

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    Definition Classes
    AnyRef

  14. def equals(other: Any): Boolean

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    Definition Classes
    AbstractModule → AnyRef → Any

  15. final def evaluate(dataSet: LocalDataSet[MiniBatch[T]], vMethods: Array[_ <: ValidationMethod[T]]): Array[(ValidationResult, ValidationMethod[T])]

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    Definition Classes
    AbstractModule

  16. final def evaluate(dataset: RDD[MiniBatch[T]], vMethods: Array[_ <: ValidationMethod[T]]): Array[(ValidationResult, ValidationMethod[T])]

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    Definition Classes
    AbstractModule

  17. final def evaluate(dataset: RDD[Sample[T]], vMethods: Array[_ <: ValidationMethod[T]], batchSize: Option[Int]): Array[(ValidationResult, ValidationMethod[T])]

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    Definition Classes
    AbstractModule

  18. def evaluate(): InternalCAddTable.this.type

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    Definition Classes
    AbstractModule

  19. final def evaluateImage(imageFrame: ImageFrame, vMethods: Array[_ <: ValidationMethod[T]], batchSize: Option[Int]): Array[(ValidationResult, ValidationMethod[T])]

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    Definition Classes
    AbstractModule

  20. def finalize(): Unit

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

  21. final def forward(input: Table): Tensor[D]

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    Definition Classes
    AbstractModule

  22. var forwardTime: Long

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    Attributes
    protected
    Definition Classes
    AbstractModule

  23. def freeze(names: String*): InternalCAddTable.this.type

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    Definition Classes
    AbstractModule

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    CAddTable → AbstractModule

  26. def getExtraParameter(): Array[Tensor[T]]

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    Definition Classes
    AbstractModule

  27. def getInputDimMask(): Int

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    Definition Classes
    MklInt8Convertible

  28. def getInputScales(): Array[Array[Float]]

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    Definition Classes
    MklInt8Convertible

  29. final def getInputShape(): Shape

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    Definition Classes
    InferShape

  30. final def getName(): String

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    Definition Classes
    AbstractModule

  31. final def getNumericType(): TensorDataType

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    Definition Classes
    AbstractModule

  32. def getOutputDimMask(): Int

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    Definition Classes
    MklInt8Convertible

  33. def getOutputScales(): Array[Array[Float]]

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    Definition Classes
    MklInt8Convertible

  34. final def getOutputShape(): Shape

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    Definition Classes
    InferShape

  35. def getParametersTable(): Table

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    Definition Classes
    AbstractModule

  36. final def getPrintName(): String

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    Attributes
    protected
    Definition Classes
    AbstractModule

  37. final def getScaleB(): Double

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    Definition Classes
    AbstractModule

  38. final def getScaleW(): Double

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    Definition Classes
    AbstractModule

  39. def getTimes(): Array[(AbstractModule[_ <: Activity, _ <: Activity, T], Long, Long)]

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    Definition Classes
    AbstractModule

  40. final def getTimesGroupByModuleType(): Array[(String, Long, Long)]

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    Definition Classes
    AbstractModule

  41. def getWeightDimMask(): Int

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    Definition Classes
    MklInt8Convertible

  42. def getWeightScales(): Array[Array[Float]]

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    Definition Classes
    MklInt8Convertible

  43. final def getWeightsBias(): Array[Tensor[T]]

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    Definition Classes
    AbstractModule

  44. var gradInput: Table

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    Definition Classes
    AbstractModule

  45. final def hasName: Boolean

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    Definition Classes
    AbstractModule

  46. def hashCode(): Int

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    Definition Classes
    AbstractModule → AnyRef → Any

  47. val inplace: Boolean

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    Definition Classes
    InternalCAddTable → CAddTable

  48. var inputDimMask: Int

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    Attributes
    protected
    Definition Classes
    MklInt8Convertible

  49. def inputs(first: (ModuleNode[T], Int), nodesWithIndex: (ModuleNode[T], Int)*): ModuleNode[T]

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    Definition Classes
    AbstractModule

  50. def inputs(nodes: Array[ModuleNode[T]]): ModuleNode[T]

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    Definition Classes
    AbstractModule

  51. def inputs(nodes: ModuleNode[T]*): ModuleNode[T]

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    Definition Classes
    AbstractModule

  52. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  53. final def isTraining(): Boolean

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    Definition Classes
    AbstractModule

  54. var line: String

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    Attributes
    protected
    Definition Classes
    AbstractModule

  55. final def loadModelWeights(srcModel: Module[Float], matchAll: Boolean): InternalCAddTable.this.type

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    Definition Classes
    AbstractModule

  56. final def loadWeights(weightPath: String, matchAll: Boolean): InternalCAddTable.this.type

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    Definition Classes
    AbstractModule

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

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    Definition Classes
    AnyRef

  58. final def notify(): Unit

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    Definition Classes
    AnyRef

  59. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  60. var output: Tensor[D]

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    Definition Classes
    AbstractModule

  61. var outputDimMask: Int

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    Attributes
    protected
    Definition Classes
    MklInt8Convertible

  62. def parameters(): (Array[Tensor[T]], Array[Tensor[T]])

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    Definition Classes
    AbstractModule

  63. final def predict(dataset: RDD[Sample[T]], batchSize: Int, shareBuffer: Boolean): RDD[Activity]

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    Definition Classes
    AbstractModule

  64. final def predictClass(dataset: RDD[Sample[T]], batchSize: Int): RDD[Int]

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    Definition Classes
    AbstractModule

  65. final def predictImage(imageFrame: ImageFrame, outputLayer: String, shareBuffer: Boolean, batchPerPartition: Int, predictKey: String, featurePaddingParam: Option[PaddingParam[T]]): ImageFrame

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    Definition Classes
    AbstractModule

  66. def processInputs(first: (ModuleNode[T], Int), nodesWithIndex: (ModuleNode[T], Int)*): ModuleNode[T]

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    Attributes
    protected
    Definition Classes
    AbstractModule

  67. def processInputs(nodes: Seq[ModuleNode[T]]): ModuleNode[T]

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    Attributes
    protected
    Definition Classes
    AbstractModule

  68. final def quantize(): Module[T]

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    Definition Classes
    AbstractModule

  69. def release(): Unit

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    Definition Classes
    AbstractModule

  70. def reset(): Unit

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    Definition Classes
    AbstractModule

  71. def resetTimes(): Unit

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    Definition Classes
    AbstractModule

  72. final def saveCaffe(prototxtPath: String, modelPath: String, useV2: Boolean, overwrite: Boolean): InternalCAddTable.this.type

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    Definition Classes
    AbstractModule

  73. final def saveDefinition(path: String, overWrite: Boolean): InternalCAddTable.this.type

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    Definition Classes
    AbstractModule

  74. final def saveModule(path: String, weightPath: String, overWrite: Boolean): InternalCAddTable.this.type

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    Definition Classes
    AbstractModule

  75. final def saveTF(inputs: Seq[(String, Seq[Int])], path: String, byteOrder: ByteOrder, dataFormat: TensorflowDataFormat): InternalCAddTable.this.type

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    Definition Classes
    AbstractModule

  76. final def saveTorch(path: String, overWrite: Boolean): InternalCAddTable.this.type

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    Definition Classes
    AbstractModule

  77. final def saveWeights(path: String, overWrite: Boolean): Unit

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    Definition Classes
    AbstractModule

  78. var scaleB: Double

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    Attributes
    protected
    Definition Classes
    AbstractModule

  79. var scaleW: Double

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    Attributes
    protected
    Definition Classes
    AbstractModule

  80. final def setExtraParameter(extraParam: Array[Tensor[T]]): InternalCAddTable.this.type

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    Definition Classes
    AbstractModule

  81. def setInputDimMask(mask: Int): Unit

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    Definition Classes
    MklInt8Convertible

  82. def setInputScales(inScales: Array[Array[Float]]): Unit

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    Definition Classes
    MklInt8Convertible

  83. final def setLine(line: String): InternalCAddTable.this.type

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    Definition Classes
    AbstractModule

  84. final def setName(name: String): InternalCAddTable.this.type

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    Definition Classes
    AbstractModule

  85. def setOutputDimMask(mask: Int): Unit

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    Definition Classes
    MklInt8Convertible

  86. def setOutputScales(outScales: Array[Array[Float]]): Unit

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    Definition Classes
    MklInt8Convertible

  87. def setScaleB(b: Double): InternalCAddTable.this.type

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    Definition Classes
    AbstractModule

  88. def setScaleW(w: Double): InternalCAddTable.this.type

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    Definition Classes
    AbstractModule

  89. def setWeightDimMask(mask: Int): Unit

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    Definition Classes
    MklInt8Convertible

  90. def setWeightScales(weightScales: Array[Array[Float]]): Unit

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    Definition Classes
    MklInt8Convertible

  91. final def setWeightsBias(newWeights: Array[Tensor[T]]): InternalCAddTable.this.type

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    Definition Classes
    AbstractModule

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

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    Definition Classes
    AnyRef

  93. def toGraph(startNodes: ModuleNode[T]*): Graph[T]

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    Definition Classes
    AbstractModule

  94. def toString(): String

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    Definition Classes
    AbstractModule → AnyRef → Any

  95. var train: Boolean

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    Attributes
    protected
    Definition Classes
    AbstractModule

  96. def training(): InternalCAddTable.this.type

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    Definition Classes
    AbstractModule

  97. def unFreeze(names: String*): InternalCAddTable.this.type

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    Definition Classes
    AbstractModule

  98. def updateGradInput(input: Table, gradOutput: Tensor[D]): Table

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    Definition Classes
    InternalCAddTable → CAddTable → AbstractModule

  99. def updateInputScales(scale: Array[Float], index: Int): Unit

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    Definition Classes
    MklInt8Convertible

  100. def updateOutput(input: Table): Tensor[D]

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    Definition Classes
    CAddTable → AbstractModule

  101. def updateOutputScales(scale: Array[Float], index: Int): Unit

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    Definition Classes
    MklInt8Convertible

  102. def updateWeightScales(scale: Array[Float], index: Int): Unit

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    Definition Classes
    MklInt8Convertible

  103. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  106. var weightDimMask: Int

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    Attributes
    protected
    Definition Classes
    MklInt8Convertible

  107. def zeroGradParameters(): Unit

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    Definition Classes
    AbstractModule

Deprecated Value Members

  1. final def save(path: String, overWrite: Boolean): InternalCAddTable.this.type

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    Definition Classes
    AbstractModule
    Annotations
    @deprecated
    Deprecated

    (Since version 0.3.0) please use recommended saveModule(path, overWrite)

Inherited from CAddTable[T, D]

Inherited from MklInt8Convertible

Inherited from AbstractModule[Table, Tensor[D], T]

Inherited from InferShape

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped