Class

org.platanios.tensorflow.api.ops.io.data

DynamicPaddedBatchDataset

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case class DynamicPaddedBatchDataset[T, O, D, S](inputDataset: Dataset[T, O, D, S], batchSize: Long, paddedShapes: S, paddingValues: O = null.asInstanceOf[O], name: String = "PaddedBatchDataset") extends Dataset[T, O, D, S] with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, Dataset[T, O, D, S], AnyRef, Any
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Inherited
  1. DynamicPaddedBatchDataset
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Dataset
  7. AnyRef
  8. Any
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Visibility
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Instance Constructors

  1. new DynamicPaddedBatchDataset(inputDataset: Dataset[T, O, D, S], batchSize: Long, paddedShapes: S, paddingValues: O = null.asInstanceOf[O], name: String = "PaddedBatchDataset")

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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. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. val batchSize: Long

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  6. def clone(): AnyRef

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

  7. def createHandle(): Output

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    Definition Classes
    DynamicPaddedBatchDataset → Dataset

  8. def createInitializableIterator(sharedName: String = "", name: String = "InitializableIterator"): InitializableIterator[T, O, D, S]

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    Definition Classes
    Dataset

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

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    Definition Classes
    AnyRef

  10. implicit val evData: Aux[T, O, D, S]

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    Definition Classes
    Dataset

  11. implicit val evFunctionInput: ArgType[O]

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    Definition Classes
    Dataset

  12. implicit val evOToT: Aux[O, T]

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    Definition Classes
    Dataset

  13. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  15. val inputDataset: Dataset[T, O, D, S]

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  16. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  17. val name: String

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    Definition Classes
    DynamicPaddedBatchDataset → Dataset

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

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    Definition Classes
    AnyRef

  19. final def notify(): Unit

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    Definition Classes
    AnyRef

  20. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  21. def outputDataTypes: D

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    Definition Classes
    DynamicPaddedBatchDataset → Dataset

  22. def outputShapes: S

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    Definition Classes
    DynamicPaddedBatchDataset → Dataset

  23. val paddedShapes: S

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  24. val paddingValues: O

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  25. def shard(numShards: Long, shardIndex: Long): Dataset[T, O, D, S]

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    Definition Classes
    Dataset

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

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    Definition Classes
    AnyRef

  27. def toString(): String

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    Definition Classes
    Dataset → AnyRef → Any

  28. def transform[TT, TO, TD, TS](transformFn: (Dataset[T, O, D, S]) ⇒ Dataset[TT, TO, TD, TS])(implicit evTOToTT: Aux[TO, TT], evT: Aux[TT, TO, TD, TS], evFunctionInputT: ArgType[TO]): Dataset[TT, TO, TD, TS]

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    Definition Classes
    Dataset

  29. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Dataset[T, O, D, S]

Inherited from AnyRef

Inherited from Any

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