Class/Object

com.intel.analytics.zoo.pipeline.api.keras2.layers

Cropping1D

Related Docs: object Cropping1D | package layers

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class Cropping1D[T] extends keras.layers.Cropping1D[T] with Net

Cropping layer for 1D input (e.g. temporal sequence). The input of this layer should be 3D.

When you use this layer as the first layer of a model, you need to provide the argument inputShape (a Single Shape, does not include the batch dimension).

T

Numeric type of parameter(e.g. weight, bias). Only support float/double now.

Linear Supertypes
keras.layers.Cropping1D[T], Net, bigdl.nn.keras.Cropping1D[T], KerasLayer[Tensor[T], Tensor[T], T], Container[Tensor[T], Tensor[T], T], AbstractModule[Tensor[T], Tensor[T], T], InferShape, Serializable, Serializable, AnyRef, Any
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Inherited
  1. Cropping1D
  2. Cropping1D
  3. Net
  4. Cropping1D
  5. KerasLayer
  6. Container
  7. AbstractModule
  8. InferShape
  9. Serializable
  10. Serializable
  11. AnyRef
  12. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new Cropping1D(cropping: Array[Int] = Array(1, 1), inputShape: Shape = null)(implicit arg0: ClassTag[T], ev: TensorNumeric[T])

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    cropping

    Int array of length 2. How many units should be trimmed off at the beginning and end of the cropping dimension. Default is (1, 1).

    inputShape

    A Single Shape, does not include the batch dimension.

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: Tensor[T], gradOutput: Tensor[T]): Unit

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

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    Definition Classes
    Container → AbstractModule
  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  7. def backward(input: Tensor[T], gradOutput: Tensor[T]): Tensor[T]

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    Definition Classes
    AbstractModule
  8. var backwardTime: Long

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    Attributes
    protected
    Definition Classes
    AbstractModule
  9. def build(calcInputShape: Shape): Shape

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    Definition Classes
    KerasLayer → InferShape
  10. def canEqual(other: Any): Boolean

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    Definition Classes
    Container → AbstractModule
  11. final def checkEngineType(): Cropping1D.this.type

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    Definition Classes
    Container → AbstractModule
  12. def clearState(): Cropping1D.this.type

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    Definition Classes
    Container → AbstractModule
  13. final def clone(deepCopy: Boolean): AbstractModule[Tensor[T], Tensor[T], T]

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    Definition Classes
    AbstractModule
  14. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  15. final def cloneModule(): Cropping1D.this.type

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    Definition Classes
    AbstractModule
  16. def computeOutputShape(inputShape: Shape): Shape

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    Definition Classes
    Cropping1D → KerasLayer → InferShape
  17. val cropping: Array[Int]

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    Int array of length 2.

    Int array of length 2. How many units should be trimmed off at the beginning and end of the cropping dimension. Default is (1, 1).

    Definition Classes
    Cropping1DCropping1D → Cropping1D
  18. def doBuild(inputShape: Shape): AbstractModule[Tensor[T], Tensor[T], T]

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    Definition Classes
    Cropping1D → KerasLayer
  19. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  20. def equals(other: Any): Boolean

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    Definition Classes
    Container → AbstractModule → AnyRef → Any
  21. final def evaluate(): Cropping1D.this.type

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    Definition Classes
    Container → AbstractModule
  22. final def evaluate(dataSet: LocalDataSet[MiniBatch[T]], vMethods: Array[_ <: ValidationMethod[T]]): Array[(ValidationResult, ValidationMethod[T])]

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

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    Definition Classes
    AbstractModule
  24. 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
  25. final def evaluateImage(imageFrame: ImageFrame, vMethods: Array[_ <: ValidationMethod[T]], batchSize: Option[Int]): Array[(ValidationResult, ValidationMethod[T])]

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    Definition Classes
    AbstractModule
  26. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  27. def findModules(moduleType: String): ArrayBuffer[AbstractModule[_, _, T]]

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    Definition Classes
    Container
  28. final def forward(input: Tensor[T]): Tensor[T]

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    Definition Classes
    AbstractModule
  29. var forwardTime: Long

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    Attributes
    protected
    Definition Classes
    AbstractModule
  30. def freeze(names: String*): Cropping1D.this.type

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    Definition Classes
    Container → AbstractModule
  31. def from[T](vars: Variable[T]*)(implicit arg0: ClassTag[T], ev: TensorNumeric[T]): Variable[T]

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    Build graph: some other modules point to current module

    Build graph: some other modules point to current module

    vars

    upstream variables

    returns

    Variable containing current module

    Definition Classes
    Net
  32. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  33. def getExtraParameter(): Array[Tensor[T]]

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    Definition Classes
    Container → AbstractModule
  34. final def getInputShape(): Shape

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    Definition Classes
    InferShape
  35. final def getName(): String

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    Definition Classes
    AbstractModule
  36. final def getNumericType(): TensorDataType

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    Definition Classes
    AbstractModule
  37. final def getOutputShape(): Shape

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    Definition Classes
    InferShape
  38. def getParametersTable(): Table

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    Definition Classes
    Container → AbstractModule
  39. final def getPrintName(): String

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    Attributes
    protected
    Definition Classes
    AbstractModule
  40. final def getScaleB(): Double

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    Definition Classes
    AbstractModule
  41. final def getScaleW(): Double

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

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    Definition Classes
    Container → AbstractModule
  43. final def getTimesGroupByModuleType(): Array[(String, Long, Long)]

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    Definition Classes
    AbstractModule
  44. final def getWeightsBias(): Array[Tensor[T]]

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    Definition Classes
    AbstractModule
  45. var gradInput: Tensor[T]

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    Definition Classes
    AbstractModule
  46. final def hasName: Boolean

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    Definition Classes
    AbstractModule
  47. def hashCode(): Int

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    Definition Classes
    Container → AbstractModule → AnyRef → Any
  48. val inputShape: Shape

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    A Single Shape, does not include the batch dimension.

    A Single Shape, does not include the batch dimension.

    Definition Classes
    Cropping1DCropping1D → Cropping1D
  49. def inputs(first: (ModuleNode[T], Int), nodesWithIndex: (ModuleNode[T], Int)*): ModuleNode[T]

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    Definition Classes
    KerasLayer → AbstractModule
  50. def inputs(nodes: Array[ModuleNode[T]]): ModuleNode[T]

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    Definition Classes
    KerasLayer → AbstractModule
  51. def inputs(nodes: ModuleNode[T]*): ModuleNode[T]

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    Definition Classes
    KerasLayer → AbstractModule
  52. def isBuilt(): Boolean

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    Definition Classes
    KerasLayer → InferShape
  53. def isFrozen[T]()(implicit arg0: ClassTag[T]): Boolean

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    Definition Classes
    Net
  54. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  55. def isKerasStyle(): Boolean

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    Definition Classes
    KerasLayer → InferShape
  56. final def isTraining(): Boolean

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    Definition Classes
    AbstractModule
  57. def labor: AbstractModule[Tensor[T], Tensor[T], T]

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    Definition Classes
    KerasLayer
  58. def labor_=(value: AbstractModule[Tensor[T], Tensor[T], T]): Unit

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    Definition Classes
    KerasLayer
  59. var line: String

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    Attributes
    protected
    Definition Classes
    AbstractModule
  60. final def loadModelWeights(srcModel: Module[Float], matchAll: Boolean): Cropping1D.this.type

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    Definition Classes
    AbstractModule
  61. final def loadWeights(weightPath: String, matchAll: Boolean): Cropping1D.this.type

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    Definition Classes
    AbstractModule
  62. val modules: ArrayBuffer[AbstractModule[Activity, Activity, T]]

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    Definition Classes
    Container
  63. final def ne(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    AnyRef
  66. var output: Tensor[T]

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    Definition Classes
    AbstractModule
  67. def parameters(): (Array[Tensor[T]], Array[Tensor[T]])

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    Definition Classes
    Container → AbstractModule
  68. final def predict(dataset: RDD[Sample[T]], batchSize: Int, shareBuffer: Boolean): RDD[Activity]

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    Definition Classes
    AbstractModule
  69. final def predictClass(dataset: RDD[Sample[T]], batchSize: Int): RDD[Int]

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    Definition Classes
    AbstractModule
  70. 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
  71. def processInputs(first: (ModuleNode[T], Int), nodesWithIndex: (ModuleNode[T], Int)*): ModuleNode[T]

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    Attributes
    protected
    Definition Classes
    AbstractModule
  72. def processInputs(nodes: Seq[ModuleNode[T]]): ModuleNode[T]

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    Attributes
    protected
    Definition Classes
    AbstractModule
  73. final def quantize(): Module[T]

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    Definition Classes
    AbstractModule
  74. def release(): Unit

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    Definition Classes
    Container → AbstractModule
  75. def reset(): Unit

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    Definition Classes
    Container → AbstractModule
  76. def resetTimes(): Unit

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    Definition Classes
    Container → AbstractModule
  77. final def saveCaffe(prototxtPath: String, modelPath: String, useV2: Boolean, overwrite: Boolean): Cropping1D.this.type

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    Definition Classes
    AbstractModule
  78. final def saveDefinition(path: String, overWrite: Boolean): Cropping1D.this.type

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    Definition Classes
    AbstractModule
  79. final def saveModule(path: String, weightPath: String, overWrite: Boolean): Cropping1D.this.type

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    Definition Classes
    AbstractModule
  80. final def saveTF(inputs: Seq[(String, Seq[Int])], path: String, byteOrder: ByteOrder, dataFormat: TensorflowDataFormat): Cropping1D.this.type

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    Definition Classes
    AbstractModule
  81. final def saveTorch(path: String, overWrite: Boolean): Cropping1D.this.type

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    Definition Classes
    AbstractModule
  82. final def saveWeights(path: String, overWrite: Boolean): Unit

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    Definition Classes
    AbstractModule
  83. var scaleB: Double

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    Attributes
    protected
    Definition Classes
    AbstractModule
  84. var scaleW: Double

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    Attributes
    protected
    Definition Classes
    AbstractModule
  85. final def setExtraParameter(extraParam: Array[Tensor[T]]): Cropping1D.this.type

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    Definition Classes
    AbstractModule
  86. final def setLine(line: String): Cropping1D.this.type

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    Definition Classes
    AbstractModule
  87. final def setName(name: String): Cropping1D.this.type

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    Definition Classes
    AbstractModule
  88. def setScaleB(b: Double): Cropping1D.this.type

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    Definition Classes
    Container → AbstractModule
  89. def setScaleW(w: Double): Cropping1D.this.type

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    Definition Classes
    Container → AbstractModule
  90. final def setWeightsBias(newWeights: Array[Tensor[T]]): Cropping1D.this.type

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    Definition Classes
    AbstractModule
  91. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  92. def toGraph(startNodes: ModuleNode[T]*): Graph[T]

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    Definition Classes
    AbstractModule
  93. def toString(): String

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    Definition Classes
    AbstractModule → AnyRef → Any
  94. var train: Boolean

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    Attributes
    protected
    Definition Classes
    AbstractModule
  95. final def training(): Cropping1D.this.type

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    Definition Classes
    Container → AbstractModule
  96. def unFreeze(names: String*): Cropping1D.this.type

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    Definition Classes
    Container → AbstractModule
  97. def updateGradInput(input: Tensor[T], gradOutput: Tensor[T]): Tensor[T]

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    Definition Classes
    KerasLayer → AbstractModule
  98. def updateOutput(input: Tensor[T]): Tensor[T]

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    Definition Classes
    KerasLayer → AbstractModule
  99. final def wait(): Unit

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  102. def zeroGradParameters(): Unit

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    Definition Classes
    AbstractModule

Deprecated Value Members

  1. final def save(path: String, overWrite: Boolean): Cropping1D.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 keras.layers.Cropping1D[T]

Inherited from Net

Inherited from bigdl.nn.keras.Cropping1D[T]

Inherited from KerasLayer[Tensor[T], Tensor[T], T]

Inherited from Container[Tensor[T], Tensor[T], T]

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

Inherited from InferShape

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped