Class

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

SparseOutputSlicesDataset

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case class SparseOutputSlicesDataset(tensor: SparseOutput, name: String = "SparseOutputSliceDataset") extends Dataset[SparseTensor, SparseOutput, (types.DataType, types.DataType, types.DataType), (core.Shape, core.Shape, core.Shape)] with Product with Serializable

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  1. SparseOutputSlicesDataset
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Dataset
  7. AnyRef
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Instance Constructors

  1. new SparseOutputSlicesDataset(tensor: SparseOutput, name: String = "SparseOutputSliceDataset")

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Value Members

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

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  2. final def ##(): Int

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

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    @throws( ... )
  6. def createHandle(): Output

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    Definition Classes
    SparseOutputSlicesDatasetDataset
  7. def createInitializableIterator(sharedName: String = "", name: String = "InitializableIterator"): InitializableIterator[SparseTensor, SparseOutput, (types.DataType, types.DataType, types.DataType), (core.Shape, core.Shape, core.Shape)]

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    Definition Classes
    Dataset
  8. final def eq(arg0: AnyRef): Boolean

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  9. implicit val evData: Aux[SparseTensor, SparseOutput, (types.DataType, types.DataType, types.DataType), (core.Shape, core.Shape, core.Shape)]

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    Definition Classes
    Dataset
  10. implicit val evFunctionInput: ArgType[SparseOutput]

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    Definition Classes
    Dataset
  11. implicit val evOToT: Aux[SparseOutput, SparseTensor]

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    Dataset
  12. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )
  13. final def getClass(): Class[_]

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  14. final def isInstanceOf[T0]: Boolean

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  15. val name: String

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    Definition Classes
    SparseOutputSlicesDatasetDataset
  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 outputDataTypes: (types.DataType, types.DataType, types.DataType)

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    Definition Classes
    SparseOutputSlicesDatasetDataset
  20. def outputShapes: (core.Shape, core.Shape, core.Shape)

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    Definition Classes
    SparseOutputSlicesDatasetDataset
  21. def shard(numShards: Long, shardIndex: Long): Dataset[SparseTensor, SparseOutput, (types.DataType, types.DataType, types.DataType), (core.Shape, core.Shape, core.Shape)]

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    Definition Classes
    Dataset
  22. final def synchronized[T0](arg0: ⇒ T0): T0

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  23. val tensor: SparseOutput

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  24. def toString(): String

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    Definition Classes
    Dataset → AnyRef → Any
  25. def transform[TT, TO, TD, TS](transformFn: (Dataset[SparseTensor, SparseOutput, (types.DataType, types.DataType, types.DataType), (core.Shape, core.Shape, core.Shape)]) ⇒ 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
  26. final def wait(): Unit

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    @throws( ... )
  27. final def wait(arg0: Long, arg1: Int): Unit

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

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Inherited from Serializable

Inherited from Serializable

Inherited from Product

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