Class/Object

com.intel.analytics.bigdl.dataset

SampleToBatch

Related Docs: object SampleToBatch | package dataset

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class SampleToBatch[T] extends Transformer[Sample[T], MiniBatch[T]]

Convert a sequence of Sample to a sequence of MiniBatch, optionally padding all the features (or labels) in the mini-batch to the same length

Linear Supertypes
Transformer[Sample[T], MiniBatch[T]], Serializable, Serializable, AnyRef, Any
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Instance Constructors

  1. new SampleToBatch(totalBatch: Int, featurePadding: Option[Tensor[T]] = None, labelPadding: Option[T] = None, fixedLength: Option[Int] = None, partitionNum: Option[Int] = None)(implicit arg0: ClassTag[T], ev: TensorNumeric[T])

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    totalBatch

    total batch size

    featurePadding

    feature padding value (by default None, meaning no feature padding)

    labelPadding

    label padding value (by default None, meaning no label padding)

    fixedLength

    if padding, it specifies the length of feature/label after padding (by default None, meaning the length after padding is set to the max length of feature/label in a mini-batch)

    partitionNum

    partition number of dataset, default means partitionNum equals Engine.nodeNumber()

Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    AnyRef → Any

  3. def ->[C](other: Transformer[MiniBatch[T], C]): Transformer[Sample[T], C]

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    Transformer

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

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    AnyRef → Any

  5. def apply(prev: Iterator[Sample[T]]): Iterator[MiniBatch[T]]

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    Definition Classes
    SampleToBatch → Transformer

  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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

  8. def cloneTransformer(): Transformer[Sample[T], MiniBatch[T]]

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    Transformer

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

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    AnyRef

  10. def equals(arg0: Any): Boolean

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    AnyRef → Any

  11. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

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

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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

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    AnyRef

  16. final def notify(): Unit

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    AnyRef

  17. final def notifyAll(): Unit

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    AnyRef

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

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  19. def toString(): String

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  20. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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Inherited from Transformer[Sample[T], MiniBatch[T]]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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