Class

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

TFRecordDataset

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case class TFRecordDataset(filenames: tensors.Tensor, compressionType: CompressionType = NoCompression, bufferSize: Long = 256 * 1024, name: String = "TFRecordDataset") extends Dataset[tensors.Tensor, Output, types.DataType, core.Shape] with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, Dataset[tensors.Tensor, Output, types.DataType, core.Shape], AnyRef, Any
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Inherited
  1. TFRecordDataset
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Dataset
  7. AnyRef
  8. Any
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Visibility
  1. Public
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Instance Constructors

  1. new TFRecordDataset(filenames: tensors.Tensor, compressionType: CompressionType = NoCompression, bufferSize: Long = 256 * 1024, name: String = "TFRecordDataset")

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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 bufferSize: Long

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  6. def clone(): AnyRef

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

  7. val compressionType: CompressionType

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  8. def createHandle(): Output

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    Definition Classes
    TFRecordDataset → Dataset

  9. def createInitializableIterator(sharedName: String = "", name: String = "InitializableIterator"): InitializableIterator[tensors.Tensor, Output, types.DataType, core.Shape]

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    Definition Classes
    Dataset

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

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    Definition Classes
    AnyRef

  11. implicit val evData: Aux[tensors.Tensor, Output, types.DataType, core.Shape]

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    Definition Classes
    Dataset

  12. implicit val evFunctionInput: ArgType[Output]

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    Definition Classes
    Dataset

  13. implicit val evOToT: Aux[Output, tensors.Tensor]

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    Definition Classes
    Dataset

  14. val filenames: tensors.Tensor

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  15. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  17. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  18. val name: String

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    Definition Classes
    TFRecordDataset → Dataset

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

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    Definition Classes
    AnyRef

  20. final def notify(): Unit

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    Definition Classes
    AnyRef

  21. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  22. def outputDataTypes: types.DataType

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    Definition Classes
    TFRecordDataset → Dataset

  23. def outputShapes: core.Shape

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    Definition Classes
    TFRecordDataset → Dataset

  24. def shard(numShards: Long, shardIndex: Long): Dataset[tensors.Tensor, Output, types.DataType, core.Shape]

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    Definition Classes
    Dataset

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

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    Definition Classes
    AnyRef

  26. def toString(): String

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    Definition Classes
    Dataset → AnyRef → Any

  27. def transform[TT, TO, TD, TS](transformFn: (Dataset[tensors.Tensor, Output, types.DataType, 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

  28. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  30. 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[tensors.Tensor, Output, types.DataType, core.Shape]

Inherited from AnyRef

Inherited from Any

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